• HR Technology
    Josh Bersin: When Will The Trillions Invested In AI Pay Off? Sooner Than You Think. 近年来，生成式人工智能（GenAI）的投资已达数万亿美元，但围绕其回报问题的争论不断升级。一些分析师，如麻省理工学院教授达隆·阿西莫格鲁（Daron Acemoglu）和纽约大学心理学与神经科学教授加里·马库斯（Gary Marcus），对AI的经济影响持悲观态度，认为其对美国生产力和GDP增长的推动作用有限，甚至可能导致市场崩溃。相反，另一派如高盛的全球经济学家则乐观地认为，AI有望在未来十年内大幅提高生产力。然而，文章指出，生成式AI的真正价值在于其特定领域的应用。例如，Paradox和Galileo等HR技术平台通过高度专业化的解决方案，显著提升了招聘和人才管理的效率。最终，文章强调，AI行业仍处于早期阶段，成功的关键在于找到具有专注性和精确性的创新解决方案。 In the last few weeks there has been a lot of concern that Gen AI is a “bubble” and companies may never see the return on the $Trillion being spent on infrastructure. Let me cite four analyst’s opinions. Will Today’s Massive AI Investments Pay Off? MIT professor Daron Acemoglu estimates that over the next ten years AI will impact less than 5% of all tasks, concluding that AI will only increase US productivity by .5% and GDP growth by .9% over the next decade. As he puts it, the impact of AI is not “a law of nature.” On a similar vein, Gary Marcus, professor emeritus of psychology and neural science at New York University, believes Gen AI is soon to collapse, and the trillions spent will largely result in a loss of privacy, increase in cyber terror, and a lack of differentiation between providers. The result: a market with low profits and big losses. Goldman Sachs Head of Equity Research Jim Covello is similarly pessimistic, arguing simply that the $1 Trillion spent on AI is focused on tech that cannot truly automate complex tasks, and that vendors’ over-focus on “human-like features” will miss the boat in delivering business productivity.  (He studies stocks, not the economy.) And Goldman Sachs Global Economist, who is a fan, estimates that AI could automate 25% of work tasks and raise US productivity by 9T and GDP by 6.1% over the next decade. He follows the traditional business meme that “AI changes everything” for the better. What’s going on? Quite simply this new technology is very expensive to build, so we’re all unsure where the payoffs will be. Buyers Are Looking For A Return Soon If we discount the work going on at Google, Meta, Perplexity, and Microsoft to build AI-based search businesses, which make money on advertising (Zuckerberg essentially just said that in a few years AI will guarantee your ad spend pays off), corporate IT managers are asking questions. An article in Business Insider pointed to a large Pharma company that cancelled their Microsoft Copilot licenses because the tool was not adding any significant value (Chevron’s CIO was quoted similarly in The Information). Another quoted a Chief Marketing Officer who stated Google Gemini’s email marketing tool and the new AI-powered ad-buying tool performed worse than the human workers it was intended to replace (or support). Given that these tools almost double the “price per user” for the productivity suites, I think it’s fair that CIOs, CMOs, to expect them to pay for themselves fairly quickly. What’s Going On?  The Big Wins Will Be Domain Specific As with all new technologies that enter the market quickly, “the blush on the rose” is over. We’ve been dazzled by the power of ChatGPT and now we’re searching for real solutions to problems. And unlike the internet, where research was funded by the government, there’s going to be a lag (and some risk) between the trillions we spend and the trillions we save. Given that ChatGPT is less than two years old and OpenAI has morphed from a research company into a product company, it’s easy to see what’s happening. Every vendor and tool provider is narrowing its AI “strategy” and not just pasting little AI “stars” on their websites, looking for useful things to do. And this process may take a few years. In the world of HR, I think we can all agree that a “push the button job description generator” is a bit of a commodity. However if the AI analyzes the job title, identifies the skills needed through a large skills engine, and tunes the job description by company size, industry, and role, then it’s a fantastic solution.  (Galileo does this, as does SeekOut, SAP, and some other vendors.) The more “specific” and “narrow” the AI is, the more useful it becomes. Generic LLMs that aren’t highly trained, optimized, and tuned to your company, business, and job are simply not going to command high prices. So while we all thought ChatGPT was Nirvana, we’re now figuring out that highly specialized solutions are the answer. Let me give you some examples. The first is the platform built by Paradox, a pioneering company that started work on AI-based recruiting agents in 2016. Paradox, now valued at around $2 Billion, delivers an end-to-end recruitment platform that automates the entire process of candidate marketing, candidate experience, assessment, selection, interview scheduling, hiring, and onboarding. Most people believe its a “Chatbot” but in reality it’s an AI-powered end-to-end system that radically simplifies and speeds the recruitment process in a groundbreaking way. Companies like 7-11, FedEx, GM, and others see massive improvements in operational efficiency and both candidates, managers, and recruiter adore it. It took Paradox eight years to build this level of integrated solution. The second is our platform Galileo. Galileo, which is now licensed by more than 10,000 HR professionals, is a highly tuned AI agent specifically designed to help HR professionals (leaders, business partners, consultants, recruiters, and other roles) do the “complex work” HR professionals do. It’s not a generic LLM: it’s a highly specialized solution designed specifically for HR professionals, and we’ve added specialized content partners and are building special integrations with other HR platforms. Our clients tell us it’s saving them 1-2 hours a day. The third is the platform HiredScore, that was recently acquired by Workday. Founded in 2012, the HiredScore team built tools to help identify “fit” between individuals and jobs, and tuned its AI to be highly explainable, unbiased, and very easy to use. It took Athena Karp and the team a few years to nail down the use-cases and user interface but now HiredScore is considered one of the most powerful recruitment “orchestration” tools in the market, and is also used for internal hiring and many other applications. Every customer I talk with tells me it’s essential and saves them months of manual, error-prone effort. The fourth is the platform Eightfold, which was invented in 2016 as a way to build “Google-scale” matching between job seekers and jobs. Through many years of engineering, product management, and ongoing sales process the company has become the leader in a new space called “Talent Intelligence,” now a billion dollar rapid-growing category. The company is about ten years old and now has some of the world’s largest companies building their hiring, career management, and talent management processes using AI. Companies like EY, Bayer, and Chevron now use it for all their strategic talent programs. Each of these vendors, including others like Gloat, Sana, Arist, Lightcast, Draup, Uplimit, Firstup, and hundreds of others have patiently taken the power of Generative AI and applied it with laser precision to their solutions. Each of these companies is different, and as we work with them we see lightning bolts of innovation: not in AI itself, but in finding new ways to solve problems and do what I call “crawling up the value curve.” This is the path for AI in the coming years. As with all new technologies, the “trough of disappointment” is always followed by the “bowling pin” of hitting the nail on the head. Innovators, entrepreneurs, and startup founders are the ones who will take GenAI and apply it in unique ways to solve problems. And soon enough, “AI-powered” will be a phrase we barely even need to say. The Best Solutions Will Be Narrow Not Wide GenAI solutions require a large “platform” of data, infrastructure, and software. That alone is not where the value resides. Rather, the big productivity advantages come after years of effort, focusing the data sets and working with customers to find the features, UI designs, and data sets that add enormous value. And we are still in the early stages. If you want to learn more about HR Technology and AI, join me at the HR Technology Conference on September 24-25 in Vegas, or at Unleash in Paris in October 16-17. While I can’t predict who will win the core AI platform game (Microsoft, OpenAI, Google, Meta, Amazon will fight it out), I can predicts this: Generative AI will deliver massive improvements in business productivity. You just have to shop around a bit and wait for just the right solutions to arrive.
    HR Technology
    2024年08月10日
  • HR Technology
    Agency Law and the Workday Lawsuit 文章讨论了在Workday诉讼中，代理法的相关法律问题。原告声称，Workday的AI筛选工具因种族、年龄和残疾而对他进行了歧视。这起案件提出了HR技术供应商是否可以对歧视性结果直接负责的问题。法律的复杂性包括AI在招聘决策中的角色、代理责任以及对雇主和AI开发者的潜在影响。此案件提醒雇主在实施AI招聘工具时要谨慎，并确保避免法律风险。AI开发者也必须确保其产品无歧视行为，因为该诉讼可能会树立重要的法律先例。 Editor's Note Agency Law and the Workday Lawsuit Agency law is so old that it used to be called master and servant law. (That's different from slavery, where human beings were considered the legal property of other humans based on their race, gender, and age, which is partly why we have discrimination laws.) Today, agency laws refer to principals and agents. All employees are agents of their employer, who is the principal. And employers can have nonemployee agents too when they hire someone to do things on their behalf. Generally, agents owe principals a fiduciary duty to act in the principal's best interest, even when that isn't the agent's best interest. Agency laws gets tricky fast because you have to figure out who is in charge, what authority was granted, whether the person acting was inside or outside that authority, what duty applies, and who should be held responsible as a matter of fairness and public policy. Generally, the principal is liable for the acts of the agent, sometimes even when the agent acts outside their authority. And agents acting within their authority are rarely liable for their actions unless it also involves intentional wrongs, like punching someone in the nose. Enter discrimination, which is generally a creature of statute that may or may not be consistent with general agency law even when the words used are exactly the same.   Discrimination is generally an intentional wrong, but employees are not usually directly liable for discrimination because making employment decisions is part of the way employment works and the employer is always liable for those decisions. The big exception is harassment because harassment, particularly sexual harassment, is never part of someone's job duties. So in harassment cases, the individual harasser is liable but the employer may not be unless they knew what was going on and didn't do anything about it. It's confusing and makes your head hurt. And that's just federal discrimination law. Other employment laws, both state and federal, deal with agent liability differently. Now, let's move to the Workday lawsuit. In that case, the plaintiff is claiming that Workday was an agent of the employer, but not in the sense of someone the employer was directing. They are claiming that Workday has independent liability as an employer too because they were acting like an employer in screening and rejecting applicants for the employer. But that's kinda the whole point of HR Technology—to save the employer time and resources by doing some of the work. The software doesn't replace the employer's decision making and the employer is going to be liable for any discrimination regardless of whether and how the employer used their software. If this were a products liability case, the answer would turn on how the product was designed to be used and how the employer used it. But this is an employment law and discrimination case. So, the legal question here is whether a company that makes HR Technology can also be directly liable for discriminatory outcomes when the employer uses that technology.   We don't have an answer to that yet and won't for a while. That's because this case is just at the pleading stage and hasn't been decided based on the evidence. What's happened so far is Workday filed a motion to dismiss based on the allegations in the complaint. Basically, Workday said, "Hey, we're just a software company. We don't make employment decisions; the employer does. It's the employer who is responsible for using our software in a way that doesn't discriminate. So, please let us out of the case. Then the plaintiff and EEOC said it's too soon to decide that. If all of the allegations in the lawsuit are considered true, then the plaintiff has made viable legal claims against Workday.   Those claims are that Workday's screening function acts like the employer in evaluating applications and rejecting or accepting them for the next level of review. This is similar to what third party recruiters and other employment agencies do and those folks are generally liable for those decisions under discrimination law. In addition, Workday could even be an agent of the employer if the employer has directly delegated that screening function to the software.   We're not to the question of whether a software company is really an agent of the employer or is even acting like an employment agency. And even if it is, whether it's the kind of agency that has direct liability or whether it's just the employer who ends up liable. This will all depend on statutory definitions and actual evidence about how the software is designed, how it works, and how the employer used it.   We also aren't at the point where we look at the contracts between the employer and Workday, how liability is allocated, whether there are indemnity clauses, and whether these type of contractual defenses even apply if Workday meets the statutory definition of an employer or agent who can be liable under Title VII.   Causation will also be a big issue because how the employer sets up the software, it's level of supervision of what happens with the software, and what's really going on in the screening process will all be extremely important.   The only thing that's been decided so far is that the plaintiff filed a viable claim against Workday and the lawsuit can proceed. Here are the details of the case and some good general advice for employers using HR Technology in any employment decision making process.   - Heather Bussing AI Workplace Screener Faces Bias Lawsuit: 5 Lessons for Employers and 5 Lessons for AI Developers by Anne Yarovoy Khan, John Polson, and Erica Wilson at Fisher Phillips   A California federal court just allowed a frustrated job applicant to proceed with an employment discrimination lawsuit against an AI-based vendor after more than 100 employers that use the vendor’s screening tools rejected him. The judge’s July 12 decision allows the class action against Workday to continue based on employment decisions made by Workday’s customers on the theory that Workday served as an “agent” for all of the employers that rejected him and that its algorithmic screening tools were biased against his race, age, and disability status. The lawsuit can teach valuable lessons to employers and AI developers alike. What are five things that employers can learn from this case, and what are five things that AI developers need to know? AI Job Screening Tool Leads to 100+ Rejections Here is a quick rundown of the allegations contained in the complaint. It’s important to remember that this case is in the very earliest stages of litigation, and Workday has not yet even provided a direct response to the allegations – so take these points with a grain of salt and recognize that they may even be proven false. Derek Mobley is a Black man over the age of 40 who self-identifies as having anxiety and depression. He has a degree in finance from Morehouse College and extensive experience in various financial, IT help-desk, and customer service positions. Between 2017 and 2024, Mobley applied to more than 100 jobs with companies that use Workday’s AI-based hiring tools – and says he was rejected every single time. He would see a job posting on a third-party website (like LinkedIn), click on the job link, and be redirected to the Workday platform. Thousands of companies use Workday’s AI-based applicant screening tools, which include personality and cognitive tests. They then interpret a candidate’s qualifications through advanced algorithmic methods and can automatically reject them or advance them along the hiring process. Mobley alleges the AI systems reflect illegal biases and rely on biased training data. He notes the fact that his race could be identified because he graduated from a historically Black college, his age could be determined by his graduation year, and his mental disabilities could be revealed through the personality tests. He filed a federal lawsuit against Workday alleging race discrimination under Title VII and Section 1981, age discrimination under the ADEA, and disability discrimination under the ADA. But he didn’t file just any type of lawsuit. He filed a class action claim, seeking to represent all applicants like him who weren’t hired because of the alleged discriminatory screening process. Workday asked the court to dismiss the claim on the basis that it was not the employer making the employment decision regarding Mobley, but after over a year of procedural wrangling, the judge gave the green light for Mobley to continue his lawsuit. Judge Gives Green Light to Discrimination Claim Against AI Developer Direct Participation in Hiring Process is Key – The judge’s July 12 order says that Workday could potentially be held liable as an “agent” of the employers who rejected Mobley. The employers allegedly delegated traditional hiring functions – including automatically rejecting certain applicants at the screening stage – to Workday’s AI-based algorithmic decision-making tools. That means that Workday’s AI product directly participated in the hiring process. Middle-of-the-Night Email is Critical – One of the allegations Mobley raises to support his claim that Workday’s AI decision-making tool automatically rejected him was an application he submitted to a particular company at 12:55 a.m. He received a rejection email less than an hour later at 1:50 a.m., making it appear unlikely that human oversight was involved. “Disparate Impact” Theory Can Be Advanced – Once the judge decided that Workday could be a proper defendant as an agent, she then allowed Mobley to proceed against Workday on a “disparate impact” theory. That means the company didn’t necessarily intend to screen out Mobley based on race, age, or disability, but that it could have set up selection criteria that had the effect of screening out applicants based on those protected criteria. In fact, in one instance, Mobley was rejected for a job at a company where he was currently working on a contract basis doing very similar work. Not All Software Developers On the Hook – This decision doesn’t mean that all software vendors and AI developers could qualify as “agents” subject to a lawsuit. Take, for example, a vendor that develops a spreadsheet system that simply helps employers sort through applicants. That vendor shouldn’t be part of any later discrimination lawsuit, the court said, even if the employer later uses that system to purposefully sort the candidates by age and rejects all those over 40 years old. 5 Tips for Employers This lawsuit could have just easily been filed against any of the 100+ employers that rejected Mobley, and they still may be added as parties or sued in separate actions.  That is a stark reminder that employers need to tread carefully when implementing AI hiring solutions through third parties. A few tips: Vet Your Vendors – Ensure your AI vendors follow ethical guidelines and have measures in place to prevent bias before you deploy the tool. This includes understanding the data they use to train their models and the algorithms they employ. Regular audits and evaluations of the AI systems can help identify and mitigate potential biases – but it all starts with asking the right questions at the outset of the relationship and along the way. Work with Counsel on Indemnification Language – It’s not uncommon for contracts between business partners to include language shifting the cost of litigation and resulting damages from employer to vendor. But make sure you work with counsel when developing such language in these instances. Public policy doesn’t often allow you to transfer the cost of discriminatory behavior to someone else. You may want to place limits on any such indemnity as well, like certain dollar amounts or several months of accrued damages. And you’ll want to make sure that your agreements contain specific guidance on what type of vendor behavior falls under whatever agreement you reach. Consider Legal Options – Should you be targeted in a discrimination action, consider whether you can take action beyond indemnification when it comes to your AI vendors. Breach of contract claims, deceptive business practice lawsuits, or other formal legal actions to draw the third party into the litigation could work to shield you from shouldering the full responsibility. Implement Ongoing Monitoring – Regularly monitor the outcomes of your AI hiring tools. This includes tracking the demographic data of applicants and hires to identify any patterns that may suggest bias or have a potential disparate impact. This proactive approach can help you catch and address issues before they become legal problems. Add the Human Touch – Consider where you will insert human decision-making at critical spots along your hiring process to prevent AI bias, or the appearance of bias. While an automated process that simply screens check-the-box requirements such as necessary licenses, years of experience, educational degrees, and similar objective criteria is low risk, completely replacing human judgment when it comes to making subjective decisions stands at the peak of riskiness when it comes to the use of AI. And make sure you train your HR staff and managers on the proper use of AI when it comes to making hiring or employment-related decisions. 5 Tips for Vendors While not a complete surprise given all the talk from regulators and others in government regarding concerns with bias in automated decision making tools, this lawsuit should grab the attention of any developer of AI-based hiring tools. When taken in conjunction with the recent ACLU action against Aon Consulting for its use of AI screening platforms, it seems the time for government expressing concerns has been replaced with action. While plaintiffs’ attorneys and government enforcement officials have typically focused on employers when it comes to alleged algorithmic bias, it was only a matter of time before they turned their attention to the developers of these products. Here are some practical steps AI vendors can take now to deal with the threat. Commit to Trustworthy AI – Make sure the design and delivery of your AI solutions are both responsible and transparent. This includes reviewing marketing and product materials. Review Your Work – Engage in a risk-based review process throughout your product’s lifecycle. This will help mitigate any unintended consequences. Team With Your Lawyers – Work hand-in-hand with counsel to help ensure compliance with best practices and all relevant workplace laws – and not just law prohibiting intentional discrimination, but also those barring the unintentional “disparate impact” claims as we see in the Workday lawsuit. Develop Bias Detection Mechanisms – Implement robust testing and validation processes to detect and eliminate bias in your AI systems. This includes using diverse training data and regularly updating your algorithms to address any identified biases. Lean Into Outside Assistance – Meanwhile, collaborate with external auditors or third-party reviewers to ensure impartiality in your bias detection efforts. 原文来自：https://www.salary.com/newsletters/law-review/agency-law-and-the-workday-lawsuit/
    HR Technology
    2024年08月10日
  • HR Technology
    Josh Bersin: 随着经济放缓，关注未来的技能：改变的能力 本周，我们看到美国失业率“上升”到 4.3%，经济学家开始呼吁降低利率。对于那些每天与公司和领导者交流的人来说，我会说我们正经历一个正常的经济周期。 上一次重大衰退（不包括疫情，因为那不是需求放缓）是在2008年和2009年。这意味着我们已经有近16年没有经历严重的经济周期了，几乎是通常周期的两倍。虽然疫情确实让公司放慢了脚步，但我们迅速恢复了。所以从失业率来看，它大致是这样的。 在经历了50年的失业率变化后，目前的失业率比五十年前降低了12%，这让我得出结论，我们正生活在“长期劳动力短缺”中。同时，美国的GDP在此期间增长了1500%。 虽然我们目前的GDP增长可能有所放缓（我认为这是由消费者价格使我们耗尽了支出引起的），但实际上我们只是看到从“工业化、高劳动密集型企业”向所谓的“后工业化”公司的长期转型，这些公司往往需要更少的“工人”和更多高技能员工。（阅读我们的后工业时代研究。） 仍然有大量的小时工工作：护理、医疗、交通、建筑、零售、娱乐、能源和许多其他行业依赖各种类型的“劳动”工人。这些工作随着时间的推移变得越来越自动化，导致工资提高和技能升级，但美国仍有约63%的工人没有大学学位，其中大多数人找到了工作。 虽然每个人似乎对英特尔、UKG, Intuit或其他“与AI相关”的裁员感到有些恐慌，但美国经济的反应良好。我知道许多公司正在试验AI和其他技术，每个公司都担心失去有价值的人才，因为劳动力市场依然竞争激烈。 是的，一些公司会进行裁员。通常这是由糟糕的领导、糟糕的规划或只是对投资者的本能反应引起的。最终，随着出生率保持在低水平，我们仍将面临劳动力短缺，人的价值将继续上升（正如我过去指出的，裁员并非不可避免）。 在过去的三周里，我与欧洲超过20家大公司会面，每家公司都在投资于员工发展、技能再培训、内部流动性和提高生产力的项目。在欧洲，裁员既困难又昂贵，因此公司感受到劳动力短缺的压力，他们仍在投资员工。 至于消费者需求开始下降，我们正面临一个“长期结束”阶段，这是由高价格的延续引起的。消费者对过去五年的高价格感到厌倦，而在此之前，我们经历了近十年的零利率时期，房价和大多数资本品价格持续上涨。现在这两个因素都结束了，我们只是回到了更正常的经济状态。 换句话说，如果你因为“可以”而提高价格，最终你将付出代价，当消费者反抗时。如果你停止投资于员工，他们会“悄然离职”或另寻他处。这些是我认为的“正常商业经济”，我认为我们正看到这种正常性的发生。 作为一个动态组织运营 当然，最大的“趋势”是各行业的数字化和AI革命。汽车制造商被“虚假”引导进入电动车领域，发现混合动力发动机、数字相机和电子产品以及新的购车方式非常具有破坏性。出版商正在找出如何应对AI平台，这次他们保留了自己的知识产权并协商了许可协议。能源公司正在慢慢转向新来源，其他公司都在找出如何实现数字化、AI赋能，并进一步简化我们生产和销售的产品。 这都是商业的“激动人心的工作”，一切都与成为一个动态组织有关。我们的研究指出，以动态方式运营完全是关于人。 经济，通常以周期性变化（通常由过度兴奋和随之而来的疲惫引起）为特征，只是需要应对的事情。对于我这样经历了许多这种高峰和低谷的人来说，当事情不再上升并且我们看到一些冷却期时，我总是感到有点“解脱”。 是的，股市可能会暴跌。它总会在某个时候发生。但那实际上是“众包”效应，通常与我们的公司无关。如果你照顾好你的客户，投资未来，迅速学习AI和所有新技术，你将顺利过渡。正如许多HR领导本月与我谈到的，你的成功很大程度上取决于人。 未来的技能很明确：推动变革的能力 今天我与一群我们每隔几周就交流的HR领导进行了一次有趣的会议。每一位CHRO和其他领导都告诉我们，他们正在投资于员工的“变革管理”和“业务转型”技能。这意味着什么？ 这意味着这样。虽然我们都希望公司有更多的工程师、制造专家、科学家和销售与营销专家，但我们最需要的“技能”是“推动变革的能力”。这种特定的技能非常复杂，需要时间来学习，并且在当前尤为重要。这引出了我的最后一点。 如果你是图凡·厄金比尔吉，劳斯莱斯的首席执行官，你正处于业务转型的过程中，旨在推动工程效率和卓越，你不仅要担心工程师。你要担心那些能够推动、领导、激励和创造变革的人。我相信，这些就是大家常谈的“未来技能”。如果你作为一个专业人士、经理或领导者真正知道如何“推动和执行变革”，这些经济周期在你的职业生涯中只是“一个小波折”。 在与HR领导交谈超过30年并在许多周期中经营我们自己的业务后，我敦促你“不要过于担心”这些大的经济数据。我们正生活在一个每个公司中每个人的经济价值飙升的时期。投资于你的员工和自己，随着经济的变化，你会做得很好。   https://joshbersin.com/2024/08/as-the-economy-changes-focus-on-the-real-skills-of-the-future/
    HR Technology
    2024年08月03日
  • HR Technology
    Josh Bersin谈首席人力资源官 (CHRO) 职责的扩展 推荐介绍：这是Josh Bersin最新的一篇文章，谈到了CHRO角色的问题，这确实是一个好问题！在当今快速变化的商业环境中，首席人力资源官（CHRO）的角色变得尤为重要。随着人工智能变革、全球劳工实践和组织重组等挑战，CHRO的职责显著扩大。企业面临广泛的人事问题，包括混合工作带来的压力、劳动力短缺以及需要提高生产力和内部流动性。CHRO在重新设计传统人力资源实践和整合全球及技术进步方面至关重要。 在劳动力短缺的背景下，CHRO需要将旧的“雇用以增长”模式转变为“提高生产力和内部流动性”的模式，这比看起来更难。全球化也是一个挑战，CHRO必须引领公司进行全球化领导力和薪酬实践的调整。此外，行业整合使得大多数CHRO都在处理收购或被收购的前景，带来裁员和组织整合等问题。 领导力的发展同样是CHRO的重要职责。随着组织趋向扁平化，公司需要在各个层面培养领导技能，这是所有人力资源投资中最重要的。 技术也是一个复杂的问题，CHRO必须整理遗留的人力资源系统，并应对技术带来的挑战。 优秀的CHRO不仅是聪明、有创造力的变革领导者，还是精明的商业人士。他们展示了在我们的领域内进行业务转型的能力。我们的CHRO研究计划将为CHRO的专业发展提供支持。   我们一起来看正文： 随着时代变迁，曾被认为是C级高管中地位较低的职位，如今CHRO可能是最重要的职位之一。随着AI不断改变我们的业务，CHRO的职责每天都在增加。（Jack Welch经常说 CHRO是公司中第二重要的职位，甚至比CFO更重要。） 公司面临着各处的人力挑战 首先显而易见的是：公司在各个方面都面临人力问题。大多数公司仍在努力适应混合办公模式，经理和员工压力巨大，员工幸福感处于历史最低点。疫情的创伤切断了公司与员工之间的联系，使各类员工能够自主做出许多决定。 应对劳动力短缺 在这种背景下，我们还面临着持续的劳动力短缺。低生育率和退休的婴儿潮一代将失业率推至50年来的最低点，这个问题在几十年内都不会消失。旧的“雇佣增长”模式正在失效，我们在快速增长的科技公司中看到了“雇佣，然后裁员”的循环。 CHRO们必须将这种模式转变为“提高生产力和内部流动性”，这个转变比看起来要困难得多。 重新设计组织 此外，在过去几年里，公司终于决定废除职能层级结构。我们交谈的大多数公司都在扁平化，取消中层管理人员，并以更跨职能的方式运营。前瞻性组织（如Bayer、ING Bank、Telstra、Mastercard、Netflix）正在采用我们称之为“动态组织 (Dynamic Organization)”的运营模式，创造新的敏捷性和市场响应时间。CHRO必须领导这一努力，并找出如何重新设计工作设计、薪酬、绩效管理和职业发展的传统实践。 每家公司现在都是全球性的 随着远程工作的普及，每家公司现在都具有全球性。这意味着我们必须了解全球劳工实践、不同的人才市场以及如何领导远程团队。CHRO必须领导决策，例如在哪里雇佣、在哪里设立设施，以及如何全球化领导力、薪酬实践、雇佣政策和劳资关系。 并购 我们也处于一个整合的周期。媒体、零售、医疗和科技等行业正在整合。这意味着大多数CHRO都在处理并购或被收购的前景。这些交易带来了裁员、组织整合和高级领导团队对齐的问题。许多人将波音的问题归咎于1997年收购McDonnell Douglas，这次收购创造了一种新的文化。我觉得我们都在成为收购新公司的专家，这迫使CHRO领导不断的整合和变革。 改变领导力培养路径 CHRO还有另一个棘手的角色：领导力模型已经发生了变化。我们不仅需要培养总经理，领导者现在无处不在。扁平化的组织迫使公司在各个层面建立领导技能。当做得好时（如我在下面讨论的Marriott和Delta），领导力发展是至关重要的。在我们所有的HR投资中，领导力发展带来的价值最大。这也落在了CHRO的肩上。 更新传统HR技术 HR技术有些混乱。公司拥有几十甚至上百个传统的HR系统，这些系统充斥着招聘、培训、排班、入职、调查和合规的工具。AI有望提供帮助，但即使是Workday的客户也对他们的系统感到厌倦，（阅读“为什么每个人都讨厌Workday”）。CHRO不能再忽视技术：他们必须解决这些问题。 重新设计HR职能 最后是运行HR这一极其复杂的工作。CHRO领导着公司中最复杂的职能之一，通常被认为是成本中心。CHRO必须改造自己的团队，建立一个敏捷、智能和咨询型的组织。这意味着创建一个系统性HR运营模型 (Systemic HR operating model)，简化员工体验，并培养能够与高级运营领导者咨询和建议的HR领导者。 高绩效的CHRO是什么样的？ 我们每年与数百位CHRO交谈，有许多衡量成功的方法。优秀的CHRO不仅是聪明、有创意的变革领导者，他们也是精明的商业人士。 这些个人帮助领导他们的消费导向公司渡过了疫情，达到了有史以来最大的增长。Delta现在是美国排名第一的航空公司，Marriott现在是世界上排名第一的酒店公司。在这两种情况下，正如我们的HR Hero奖所指出的，这些人展示了创意、商业头脑和我们领域的广泛技能。 介绍我们的CHRO研究计划：CHRO Insights™ 我们正在启动一个以CHRO为导向的大型研究计划，研究CHRO的角色。该计划包括研究、教育、工具和信息。我们已经发现了一些重要的事情（我们查看了47000名全球CHRO的数据，并将他们的职业与许多业务结果进行了比较）。 首先，我们看到CHRO角色在C级高管中的重要性大幅增加。 CHRO的薪酬迅速增加，越来越多的公司告诉我们，HR正在领导公司的AI计划、生产力计划和文化变革。 其次，CHRO的工作比看起来要难。 大多数公司没有为CHRO提供良好的继任计划（84%的高影响力CHRO职位是外部填补的），这告诉我们需要关注这个角色。这激励我们在这里集中精力，您将在接下来的几个月中看到我们关于CHRO职业发展的更多内容。 第三，CHRO角色必须融合对业务、技术、文化和多种HR领域的深刻理解。 我们的全球HR能力模型涵盖了94个不同的领域，超过11000名HR专业人士的平均信心水平约为3分（满分5分）。想象一下CHRO必须面对的各种问题：从AI战略到全球文化、员工体验、薪酬、多样性等等。 第四，CHRO角色正在扩展。 我交谈的许多CHRO现在负责设施战略（因为设施影响混合工作、福利和工作体验）、整体员工体验战略（包括健康和福祉）、员工沟通战略，以及公司中的所有合规、培训、招聘、薪酬和绩效计划。 最后，强大的CHRO正在改造他们的HR职能。 公司正在使用我们的系统性HR模型来整合HR中的职能孤岛，创建新的产品和解决方案团队，并对HR团队进行交叉培训，以应对AI和这些新问题。优秀的CHRO不仅是出色的领导者和高级HR从业者，他们还是商业变革专家。 今年夏天晚些时候，我们将发布我们的第一份CHRO角色研究，并详细描述我们的CHRO Insights计划。 与此同时，我想庆祝那些承担这些角色或渴望承担这些角色的人，并告诉你们我们正在准备一些令人兴奋的事情。
    HR Technology
    2024年06月22日
  • HR Technology
    Josh Bersin:AI最终会连通整个企业界吗？问问ServiceNow，他们的回答是肯定的。 本周，ServiceNow在其年度用户大会上迎来了超过22,000名IT和技术专业人士，同时公布了几项对其战略的重大增强。ServiceNow的目标是通过一个全新的工作流软件层整合企业资源，使之能够实现全面连接，进而让员工、顾客以及企业领导通过一个统一的界面访问信息和系统。 历史上，ServiceNow主要通过一系列案例管理和服务交付工具来实现这一目标，这些工具主要服务于IT部门。这个平台极大地帮助IT服务团队自动化和优化了他们日常面临的各种IT请求和问题处理。但随着公司的发展及其野心的扩大，尤其是在Bill McDermott这位我所见过的最杰出领导者的带领下，ServiceNow的发展已经远远超出了原有范畴。 在员工服务领域，ServiceNow即将推出一系列雄心勃勃的产品。首先，原名为HR的员工工作流服务现已扩展到包括工作场所管理、员工入职、调查问卷以及技能分析工具等，还包括从Hitch收购的人才智能平台、内部职位调动与招聘等功能。公司正在开发专门的招聘工作流程，以帮助企业简化面试安排、候选人管理以及内外部候选人关系协调等复杂问题。这个看似小众的领域实际上正变得越来越重要，因为越来越多的公司开始重视内部职位流动和动态。 但在我本周参加这次会议时，我注意到ServiceNow的战略叙述发生了显著变化。Bill McDermott花了近一个小时重申他之前的讲话，但这次他将重点从工作流转移到了人工智能。他基本上将原本的工作流引擎战略替换为了“商业转型的AI平台”，显然，他们不再仅仅关注“数字化转型”。 ServiceNow的商业转型AI平台 他们强调的一个非常重要的信息是，AI将成为企业变革的技术，这与数字化变革的影响相似。 几个月前我们还在讨论数字化转型，现在，这已成为过去式：未来的变革将借助AI实现。没错，从某种意义上来说，每种技术都能成为业务变革的工具，但AI带来的变革程度将远超过互联网本身。这一点我稍后将进一步解释。 ServiceNow将其视为一个集成了异构系统的集合，中心是一个AI引擎。会议上的一个关键案例是一家面包店，因应不同地点的天气变化而调整各种烘焙产品的生产。中心的AI系统能够感知这些变化，预测接下来的行动，并指导工厂调整生产策略，从而满足市场需求，提升销售额。这是一个非常吸引人的案例。 ServiceNow的AI架构 有趣的是，像SAP在20世纪80年代推广集成供应链管理，Qualtrics推广客户体验管理时讲的故事，似乎都在用不同的方法解决相似的问题。Bill McDermott凭借丰富的经验，将这一叙事应用于ServiceNow，展现了他作为CEO的卓越远见和沟通能力。 那么，AI真的能成为未来的企业协调系统吗，将各种遗留平台联系起来，提供解决方案吗？ 我确信这将成为现实。虽然这不会一夜之间实现，但最终会发生。这种变革同样适用于我们的消费者生活。 我们日常工作中的效率之所以低下，往往是因为在寻找信息、处理文档、查询库存等活动中分心。如果能直接通过AI查询并获取答案，无疑会极大提升工作效率。（正如我尝试让Siri帮忙却发现它做不到的那样。） 正如我在本周的播客中讨论的，通过语音或文本提出问题比在Workday、Oracle、SAP等系统中四处查找要简单得多。我们曾努力使这些系统更加用户友好，现在，生成式AI的出现将为这些努力带来新的变革。 ServiceNow之所以能够很好地定位自己，有两个主要原因。 首先，他们长期以来一直在开发工作流工具，很多系统都设计得非常用户友好，即便是普通用户也能轻松使用。这就是为什么有这么多IT开发者选择使用ServiceNow的原因。（我在这周的大会上亲眼见证了这一点。） 其次，他们对这些后端系统的工作原理非常熟悉。ServiceNow的工程和产品团队对SAP、Oracle、Workday等系统进行的工作流程和交易处理有深入了解。 我与HR产品团队有过深入的交流，他们向我展示了如何将员工交易集成到ServiceNow平台中，以便构建生成式AI解决方案，与公司内部的系统进行交互。这一过程需要时间，也不会十全十美，但他们已经在正确的道路上迈出了坚实的步伐。这也引出了一个问题：我们是否应该将所有企业系统整合到这种新的界面下。 ServiceNow的HR产品 然而，这种架构也有潜在的缺点。 首先，成本较高。你现在不仅要购买ServiceNow这一复杂的企业平台，还要维护你现有的复杂企业平台。Oracle、SAP、Workday、Salesforce和Hubspot等都在尝试提供类似服务。你已经为他们的建设付出了巨大的成本，现在又要为ServiceNow付费。ServiceNow的产品不便宜，这从他们的收入就可以看出。 其次，这可能会造成系统的脆弱性。ServiceNow的工作流本身可能会因为业务规则的嵌入而变得过时，你必须管理许多小型应用程序，这些应用程序位于你的其他应用程序之上。当这些应用程序更新或被替换时（很多软件公司被收购后，其产品线会发生变化），作为客户的你需要重新配置在ServiceNow中所做的设置。 这让我回想起我在IBM的日子，当时我在主机世界工作，我们的应用程序都是定制开发的，我们有大量的COBOL程序员在构建这些系统。我曾与数据处理部门合作，探讨他们是如何在公司内部整合所有这些系统的。现在，你可能需要在ServiceNow基础设施中构建类似的工具。 如果我现在能与Bill McDermott面对面交谈，我相信他会说：“这是一种更有效的运营方式，我们ServiceNow将为你自动化这一切。”我相信这将随着时间的推移逐渐成为现实。但这也引出了一个问题：你希望将多少组织功能和经验整合进ServiceNow，而不是选择其他核心系统？ 每当我们需要构建新功能时，我们都必须决定将其部署在何处。我们是应该将职业管理平台部署在Workday、Eightfold、Degreed还是Cornerstone？你的决定将决定你依赖于哪个供应商及其发展路线图。 考虑到ServiceNow已经取得了巨大的成功，许多公司都在说：“既然我们已经为此付出了代价，那就让我们继续吧。” 生成式AI能否实现这一承诺？例如，在天气变暖时，它能否提前告诉你需要烘焙更多的面包圈？ 根据我们通过Galileo®获得的AI经验，我认为答案是肯定的。 这项技术的重要性堪比电力的发明。虽然这听起来有些夸张，但我是认真的。我从未见过如此自我发展、强大并且发展迅速的技术。我们正处于生成式AI进入市场的初期阶段。 在未来几年内，生成式AI很可能会改善这些连接，开发代码，并优化这些端到端的“单一视窗系统”。Google正在消费者领域推进此类工作，Microsoft则在办公生产力领域努力。如果ServiceNow能成为企业级应用中的佼佼者，那将不足为奇。
    HR Technology
    2024年05月10日
  • HR Technology
    是时候重塑人才招聘了 -Research Shows It’s Time To Reinvent Talent Acquisition Josh Bersin 的文章 "研究表明，是时候重塑人才招聘了 "强调了人才招聘亟需进行的变革。由于只有 32% 的人力资源高管参与战略规划，而且许多人觉得自己只是个接单员，因此这篇文章呼吁进行战略改革。在劳动力短缺和急需技能型招聘的情况下，目前削减成本和减少招聘力度的方法与对技能型专业人才日益增长的需求相矛盾。文章敦促企业将人才招聘作为一项重要的战略职能，利用现代技术并将其与学习和发展相结合，以提高效率并关注内部人才流动。 原文如下： This week we published a disappointing research study, Talent Acquisition at a Crossroads. The study, conducted in partnership with AMS, points out that talent acquisition leaders (this is a senior position) are largely left out of their company’s strategic planning process and many feel they operate as “order takers.” In today’s world of labor and skills shortages, this is a wakeup call for change. Here’s the data: Among these 130+ HR executives only 32% are involved in any form of strategic workforce planning, 42% believe their company has no workforce plan at all, and 46% say “they’re running around to keep up.” And when layoffs do occur, often the recruiters go first. (Witness Tesla this week.) All this is happening in a world where 58% of companies feel skills shortages are significantly impacting their business plans, more than three-quarters believe they must transform their talent practices to grow, and “skills-based hiring” is a top priority yet difficult to implement. Here’s the paradox: companies are cutting their talent acquisition spending at the same time CEOs feel that skills shortages are getting worse. What’s going on? Talent Acquisition Needs A Reinvention Let’s just face it: recruiting as a business function has to change. Once considered the “staffing department,” where companies posted jobs and scanned resumes, talent acquisition has become highly strategic operation. What skills do we need? How do we find people who will fit our culture? What internal candidates should fill our key positions? Who are the right leaders for us to hire? Unfortunately, almost 80% of talent acquisition functions are quite tactical. PwC’s CEO survey found that CEOs rate “hiring” as the third most bureaucratic process in their companies, tied with “too many emails” and “too many meetings” as a time-wasting process. And that explains why two-thirds of TA leaders are being asked to cut costs. I had a conversation last week with a former TA leader for one of the Big Three automakers. He told me that in the fervor to hire staff for EV engineering he was asked to hire “any engineer he could find, regardless of skill,” because the company was in such a hurry. No time for skills assessment, competitive planning, or even location analysis. Just “go out there and hire engineers.” We have been studying the auto industry as part of our GWI study and found that important EV roles (reliability engineer or power plant engineer, for example), are quite specialized and hard to find. Strategic recruiting departments need to understand these roles and source these individuals carefully. Just hiring engineering grads from a local community college is not going to move this needle. (Consider the data by Draup on what these roles are. Talent Acquisition teams with talent intelligence skills can pinpoint who to hire.) And it gets worse. In our Dynamic Organization research we found that high performing companies focus heavily on internal hiring, talent intelligence tools to find hidden talent, and continuous internal development to fill skills gaps. We can’t simply throw job requisitions over to the recruiting function any more: the people we need may be buried inside the company. This week Tesla announced a layoff of 10% of their workforce. Was their time to balance and redeploy talent internally? Absolutely not. According to my sources every business unit had to let 10% go, and and many of the people being fired were talent acquisition leaders, the very people who help with these issues. We talk with many HR executives and there is an enlightened group. Companies that understand this issue (about one in eight) have elevated Talent Acquisition to a strategic function, they merge or integrate TA with L&D, and they redefine their recruiters as “talent advisors.” Mastercard, as a leader, just renamed their recruiters as “Career Coaches,” demonstrating their role in helping people find the right jobs. Despite the onslaught of AI, this role is becoming even more human-centric. High-powered recruiting teams source internal candidates, understand company culture, and have a deep knowledge of jobs, roles, and organizational dynamics. When well supported and trained, these professionals are strategic advisors, not just “recruiters.” And companies that understand this often outsource or automate much of the administration in recruiting. Technology plays a major role in this reinvention. Most large companies have dozens of legacy systems, many of which make the candidate experience difficult. When organizations focus on modernizing and streamlining their technology, talent acquisition can become 10-100X more efficient. This, in turn, gives recruiters and talent advisors the time to search for the right skills, carefully select the best candidates, and focus on internal hiring and development as a strategy. Technology Is Here But Not The Entire Answer Of all the HR technology markets, recruiting is the most innovative of all. New AI-powered systems like HiredScore (just acquired by Workday), Paradox (leader in conversational AI), Eightfold, Gloat, Draup, and Lightcast (pioneers in talent intelligence), and many others can reduce time to hire from months to weeks and weeks to days. But none of this technology works if the Talent Acquisition team is left on an island. In the last year I have met with more than 50 heads of talent acquisition and once the door is closed and we talk honestly, they always tell me the same thing. “We are not treated as a strategic function, we are being asked to cut costs, and we are constantly running from fire to fire to keep executives happy.” This type of “service-delivery” focus simply will not work in the new economy. What should companies do? As part of our Systemic HR initiative, we help companies evolve their TA Function to operate in a more strategic way. Organizations like Bayer, Verizon, and many others have elevated the role of recruiter to talent advisor, they’re building skills in talent intelligence, and they’re integrating the recruiting function with L&D, career management, and employee engagement. I’ve always felt that recruiting is the most important things HR professionals do. If we can’t get the “right” people into the company, no amount of management can recover. But what does “right” mean? And how can we source, locate, and attract these particular people? This is a highly strategic operation, and one that must integrate with internal mobility, culture, and employee experience. I encourage you to read our Systemic HR research, join our Academy, or reach out to us or AMS for advice. In this new era of talent and skills shortages, we simply cannot run recruiting in this tactical way any longer.
    HR Technology
    2024年04月24日
  • HR Technology
    Is DEI Going to Die in 2024? Josh Bersin 的文章讨论了 2024 年多元化、公平与包容（DEI）项目所面临的重大挑战和批评，特别强调了 "反觉醒 "评论家的攻击和克劳迪娜-盖伊（Claudine Gay）从哈佛辞职的事件。报告探讨了多元包容计划在当前的文化战争中扮演的角色、人们对它的看法以及法律挑战对多元包容计划招聘和投资的影响。尽管存在这些挑战，贝尔辛还是强调了发展型企业的实际商业利益，展示了成功的战略以及将发展型企业融入业务而不仅仅是人力资源的重要性。他认为，应将重点转向在所有业务部门嵌入包容、公平薪酬和开放讨论的原则，并指出，未来的企业发展指数至关重要，但需要适应和领导层的承诺才能茁壮成长。 Is DEI Going to Die in 2024? By Josh Bersin For anyone working in Diversity, Equity, and Inclusion (DEI), it is safe to say that it has been a tough start to 2024. For a while now, there has been a concerted attack on DEI programs, with ‘anti-woke’ commentators and public figures querying their value, worth, and even existence. Those attacks increased enormously in 2024 with the resignation of Claudine Gay from Harvard. While the call to resign was supposedly related to plagiarism, one can’t help but feel that her position as a leading DEI advocate also fuelled the demand. It means that DEI has come under increased and sustained fire, and despite the many benefits provided by a good DEO program – to both employer and employee – there is a feeling that 2024 could be the year that DEI fades away. How likely is this to happen, and what would the impact be if it did? DEI and the culture wars Anyone living and working in the US (or most other countries worldwide) over the past few years will have likely heard of the culture wars. Brought on by declining trust in institutions, growing inequalities, and the proliferation of technology, the culture wars involve opposing social groups seeking to impose their ideologies. All manner of things has been caught up in this, from what’s on the curriculum at schools to taking a knee at sporting events and from definitions of what constitutes a woman to allegations of tokenism in the workplace. DEI has played an unwitting but central part in the culture wars. There’s a perception that DEI programs are ‘woke’ and prioritize ethnicity and gender over achievement and ability. In August of 2023, an attorney filed (and won) a lawsuit against a VC firm that gives grants to black entrepreneurs. Similar suits have been filed against firms with diversity hiring programs, scholarships, and internships. The resignation of Claudine Gay has reinvigorated the commentary around DEI programs. Josh Hammer, a conservative talk show host and writer, wrote on the social media platform X that taking down Dr. Gay was a “huge scalp” in the “fight for civilizational sanity. ” It was described as “a crushing loss to DEI, wokeism, antisemitism & university elitism,” by conservative commentator Liz Wheeler, and the “beginning of the end for DEI in America’s institutions,” by the conservative activist Christopher Rufo, who had helped publicize the plagiarism allegations against Claudine Gay. When something is as consistently criticized and devalued as DEI programs have been, a toll is inevitably taken. That is certainly indicated by the latest hiring data for DEI professionals. According to data from labor market analytics company Lightcast, hiring for DEI positions in the US is down by 48% year over year, in the middle of an economic boom. Clearly, DEI investments are under attack. And when you look at companies doing layoffs, DEI jobs are frequently high on the list of jobs to cut. I even heard a recent podcast with four well-known venture capitalists – three agreed that “doing away with DEI programs” was top on their list. The value of DEI Given this criticism of DEI programs, one could be forgiven for thinking such programs carry no value to HR and the wider business. Yet many companies invest in DEI programs, and the value is high in almost every case I come across. Our Elevating Equity research in 2022 and 2023 found companies focus on diversity and inclusion for very pragmatic reasons, including: An inclusive hiring strategy broadens and deepens the recruiting pool. An inclusive leadership strategy drives a deeper leadership pipeline. An inclusive management approach helps attract diverse customers and markets. An inclusive board drives growth and market leadership. (proven statistically) An inclusive supply chain program improves sustainability of the supply chain. An inclusive culture creates growth, retention, and engagement in the employee base. Organizations are not prioritizing DEI programs because they are woken or as a box-ticking exercise. They do so because DEI provides real and tangible business benefits. Workday, one of the most admired HR technology companies in the market, has pioneered DEI internally and through its products, and the company has outgrown and outperformed its competitors for years. Their product VIBE, an analytics system designed for this purpose, shows intersectionality, and helps companies set targets and find inequities in leadership, hiring, pay, and career development. But some law firms have posited that these types of programs are illegal – is there a case to answer? DEI legality In response, it’s important to consider the massive and complex pay equity problem. Until the last few years, most companies had no problem paying people in very idiosyncratic ways. The Josh Bersin Company looked at leadership, succession, and pay programs worldwide last year and found that there are massive variations in pay with no clear statistical correlation in most larger companies. This problem is called “pay equity,” and when you look at pay vs. gender, age, race, nationality, and other non-performance factors, most companies find problems. Is this a “DEI” program? When we looked at pay equity in detail last year, we found that only 5% of companies have embarked on a strategic equity analysis. While most companies do their best to keep pay consistent with performance, these studies always find problems. Would it be considered illegal to analyze pay by race or nationality and then fix the disparities? The future of DEI DEI is undoubtedly a complex issue, and many organizations will be uncertain about the best course of action. Despite the current wave of criticism, there has been vast investment in DEI strategy over recent years, and business leaders are highly unlikely to let that fade away. Despite the anti-woke movement, political debates, and the inability of Harvard, Penn, and other universities to speak clearly on these topics, businesses will not stop. Affirmative Action was not created to discriminate; it was designed to reduce discrimination. At the University of California, where Affirmative Action was halted in 1995, studies found that earnings among African American STEM graduates decreased significantly. So, one could argue that they were making a real difference. DEI will not die – it is far too important for that to happen. However, it’s time to do away with the “DEI police” in HR and focus on embedding the principles of inclusion, fair pay, and open-minded discussions across all business units. Senior leaders must take ownership of this issue. In the early 2000s, companies hired Chief Digital Officers to drive digital technology implementation, ideas, and strategies. As digital tools became commonplace, the role went away. We may be entering a period where the Chief Diversity Officer has a new role: putting the company on a track to embrace inclusion and diversity in every business area and spending less time pushing the agenda from a central group. In every interview we conduct on this topic, we see overwhelming positive stories from various DEI strategies. Each successful company frames DEI as a business rather than an HR strategy. While HR-centric DEI investments are shrinking, it’s more like them migrating into the business where they belong. 中文翻译如下，仅供参考： 2024年，多样性、公平与包容（DEI）将走向消亡吗？作者：Josh Bersin 对于那些致力于多样性、公平与包容（DEI）领域的人士来说，2024年的开端无疑充满挑战。近期，DEI项目遭到了前所未有的集中攻击，包括一些“反觉醒”评论员和公众人物对其价值、意义乃至存在的质疑。 特别是随着Claudine Gay从哈佛大学的辞职，这种攻击愈发激烈。尽管她的辞职表面上与剽窃事件有关，但不难察觉，她作为DEI领域的领军人物，这一身份似乎也是辞职呼声高涨的一个重要因素。 这意味着，DEI正面临着前所未有的挑战。尽管高效的DEI项目能够为雇主和雇员带来众多益处，但人们仍担忧2024年可能成为DEI逐渐淡出视野的一年。这种情况发生的可能性有多大？如果真的发生，又会产生何种影响？ DEI与文化战争 近年来，无论是在美国还是全球其他大多数国家，你可能都会听说过“文化战争”。这场战争源于对机构的信任下降、不平等现象的加剧以及技术的广泛传播，涉及到试图强加自己意识形态的社会对立群体。 从学校课程内容、体育赛事中的下跪行为，到对“女性”定义的争议、以及工作场所中的代表性指控等，无一不被卷入这场文化战争。而DEI，在这场战争中虽不愿意却占据了核心位置。 人们普遍认为DEI项目倾向于“觉醒”，过分强调种族和性别因素，而忽视了成就和能力。2023年8月，一位律师成功对一家支持黑人创业者的风险投资公司提起诉讼。类似的诉讼也针对那些实施多样性招聘、奖学金和实习计划的公司提起。 Claudine Gay的辞职再次引发了对DEI项目的广泛讨论。保守派脱口秀主持人和作家Josh Hammer在社交媒体平台X上表示，击败Gay博士是“为文明理智而战的一大胜利”。保守派评论员Liz Wheeler称之为“对DEI、觉醒主义、反犹太主义及大学精英主义的沉重打击”，而保守派活动家Christopher Rufo则称这是“DEI在美国机构中走向终结的开始”。 如此一致的批评和贬低无疑对DEI项目造成了重创。根据劳动力市场分析公司Lightcast的数据显示，尽管经济蓬勃发展，但美国DEI相关职位的招聘量同比下降了48%。显然，DEI正面临严峻挑战。 当提到公司裁员时，DEI相关职位往往是裁减名单上的重点。我最近听到一个播客，四位知名风险投资家中有三位认为“取消DEI项目”是他们的首要任务。 DEI的价值 面对如此批评，人们或许会误以为DEI项目对人力资源和更广泛的商业活动没有任何价值。然而，实际上，许多公司对DEI项目的投资极具价值，几乎每个案例都能证明这一点。 我们在2022年和2023年的《提升公平研究》中发现，公司出于实际原因关注多样性和包容性，这包括： 包容性招聘策略扩大了招聘范围。 包容性领导力策略深化了领导力储备。 包容性管理方式吸引了多元化的客户和市场。 包容性董事会推动了市场增长和领导地位（这一点已通过统计数据得到证明）。 包容性供应链项目提升了供应链的可持续性。 包容性文化促进了员工的增长、留存和参与。 组织之所以优先考虑DEI项目，并非仅仅因为“觉醒”，或者作为勾选式行动。他们这样做是因为DEI确实带来了实际和有形的商业利益。例如，Workday这样的HR技术公司在市场上备受尊敬，它不仅在内部推广DEI，在其产品中也体现了这一点，多年来一直超越竞争对手的增长和表现。它们的产品VIBE，一个专门设计的分析系统，展示了交叉性，帮助公司设定目标，找出领导力、招聘、薪酬和职业发展中的不平等。 然而，一些律所提出这类计划可能违法——这是否成立呢？ DEI的合法性 面对这一问题，我们不得不考虑到复杂且广泛的薪酬公平问题。直到最近几年，大多数公司在个性化支付薪酬方面并未遇到太大问题。Josh Bersin Company去年对全球的领导力、继承计划和薪酬计划进行了研究，发现在许多大公司中，薪酬存在巨大差异，且大多没有明显的统计相关性。 这个问题被称作“薪酬公平”。当涉及到性别、年龄、种族、国籍等非绩效因素时，大多数公司都存在问题。那么，分析基于种族或国籍的薪酬差异并加以解决，这会被认为是非法的吗？ DEI的未来 DEI无疑是一个复杂的议题，许多组织对于采取何种措施感到不确定。尽管面临当前的批评浪潮，但近年来对DEI策略的巨大投资表明，商业领袖们不太可能让这一切付诸东流。 尽管存在反觉醒运动、政治辩论，以及哈佛、宾夕法尼亚大学等教育机构在这些议题上的模糊立场，但商界不会因此而停滞不前。平权行动的初衷不是为了歧视，而是为了减少歧视。例如，在加州大学，自从1995年停止实施平权行动以来，研究发现非洲裔美国人STEM专业毕业生的收入显著下降。因此，可以说这些措施确实产生了积极的影响。 DEI不会消亡——它对此太重要了。然而，现在是时候取消人力资源部门中的“DEI警察”，转而专注于在所有业务单元中嵌入包容性、公平薪酬和开放性讨论的原则。高级领导层必须对这一议题负起责任来。 回顾21世纪初，许多公司聘请首席数字官来推动数字技术的实施、创意和战略。随着数字工具成为常态，这一角色逐渐消失。我们可能正处于一个新的时期，首席多样性官的角色也在发生变化：不再是从中心团队推动议程，而是引导公司在每一个业务领域都拥抱包容性和多样性。 通过我们在这个话题上的每次采访，我们都能看到各种DEI策略的积极故事。每个成功的公司都将DEI视为一项业务策略，而非仅仅是人力资源策略。虽然以HR为中心的DEI投资正在减少，但这更像是它们向业务领域的转移，这正是它们应有的归属。  
    HR Technology
    2024年02月23日
  • HR Technology
    2024年的HRTech：GenAI、分析和技能技术 In 2024, the field of Human Resources is experiencing a transformative shift with the integration of cutting-edge technologies such as Generative AI (GenAI), advanced analytics, and skills technology. This article by Dave Zielinski, featured on SHRM Online, delves into the evolving landscape of HR, highlighting the significant impact of these technologies on enhancing the employee experience, improving regulatory compliance, and revolutionizing talent management. Industry analysts and thought leaders share insights on the growing importance of GenAI in HR processes, the challenges of maintaining employee experience in cost-cutting scenarios, and the potential of predictive analytics in optimizing workforce planning. 接受SHRM Online采访的人力资源行业分析师、从业者和思想领袖表示，今年，人力资源职能部门将采用生成式人工智能 (GenAI)，投资于提升员工体验的技术，并采用强大的预测分析和技能技术。 人力资源领导者将转向技术，这些技术不仅可以提高法规遵从性，还可以帮助其组织做出更好、更快的人才决策并重新定义工作方式。 有远见的公司将继续投资 EX 一些分析师预测，随着高管将注意力转向降低成本和提高效率，远离包容性、公平和多样性等问题，员工体验 (EX) 将在 2024 年出现“衰退”；灵活的工作安排；和员工心理健康。员工的工作选择将减少，雇主将收回一些影响力。 不过，尽管许多组织可能会在 2024 年减少或冻结 EX 支出，但专家对此类举措的后果提出警告。 JP Gownder 是 Forrester 的副总裁兼首席分析师。他在博文中写道，根据 Forrester 研究，66% 的技术决策者表示，他们将在 2024 年增加对 EX 或人力资源技术的投资，其中许多投资将旨在提高效率，而不是 EX 结果。 但逆流而上的领导者将在 2024 年获得实实在在的好处。 “通过开发成熟的 EX 计划，您的组织可以提高生产力、降低人员流失率并提高创造力，”Gownder 写道。 其他专家认为，足智多谋的人力资源领导者会在预算紧张的情况下找到投资 EX 的方法。 管理咨询公司光辉国际 (Korn Ferry) 首席人力资源官 (CHRO) 业务的高级客户合伙人丹·卡普兰 (Dan Kaplan) 表示：“人力资源部门将被迫在低迷的市场中保持参与度，甚至在成本削减和削减的整个过程中也不例外。” “这将是一场艰难的舞蹈，但最好的人力资源领导者会找到办法做到这一点。” 光辉国际 (Korn Ferry) 专门负责人力资源问题的高级客户合伙人胡安·巴勃罗·冈萨雷斯 (Juan Pablo Gonzalez) 表示，组织对 EX 的承诺在 2024 年不会减弱，但 EX 看起来会非常不同。 “EX 的本质可能会变得更加个性化，同时也会变得不那么个性化，”冈萨雷斯说。“例如，通过使用 Microsoft Office Copilot、Workday 和 Salesforce 等大型软件平台中已有的人工智能功能，雇主和员工已经改变了他们的 EX。正在发生的情况是，员工与技术的互动越来越多地取代了与人的互动，但与技术的互动已经变得更加适合员工的特定需求和情况。” 亚特兰大人力资源咨询公司 IA 的创始人兼管理负责人 Mark Stelzner 表示，虽然由于组织面临控制盈利的挑战，预算将在 2024 年重新分配，但良好的 EX 相关技术投资将继续为公司带来红利。 “我认为投资 EX 实际上会提高效率并降低成本，”Stelzner 说。“到 2024 年，我们可能会看到组织不断转向‘流程主导、技术支持’的理念。端到端流程的优化通常会导致诸如消除现有技术债务以及统一工具和技术等决策，以减少员工的困惑并优化个性化，从而减少集成良好的接触点。” Gartner 专门研究人力资源技术的副总裁分析师 John Kostoulas 表示，做出更具战略性的采购决策和改善现有技术生态系统的治理是改善 EX 的两个关键。Gartner 最近的研究发现，60% 的人力资源领导者认为他们当前的技术阻碍而不是改善了员工体验。 Nucleus Research 专门负责员工体验的研究经理 Evelyn McMullen 表示，仅仅为了提高效率而不是 EX 结果而设计的技术投资可能被证明是短视的。她指出，改进的 EX 通常会带来更好的绩效并降低与营业额相关的成本。 麦克马伦说：“考虑到劳动力市场和求职者优势的不断波动，减少 EX 预算的风险尤其大。” “当控制权不可避免地回到求职者手中时，保留 EX 投资的组织将能够更好地捕获和留住最优秀的人才。” GenAI 从实验转向加速采用 到 2024 年，通过更多地采用该技术，人力资源职能将从涉足 GenAI 转向更深的领域。 随着领导者制定更严格的 GenAI 治理计划以及使用该技术的风险开始降低，人力资源和招聘部门将越来越多地使用其 HRIS 平台中已有的 GenAI 工具来编写职位描述和面试指南、创建敬业度调查、开发培训课程、分析数据，并制定政策。 世界大型企业联合会 2023 年底对首席人力资源官的调查发现，61% 的首席人力资源官计划在 2024 年投资人工智能以简化人力资源流程。 分析师 Eser Rizaoglu 表示：“许多人力资源领导者的 GenAI 之旅仍处于起步阶段，但要么通过现有的人力资源技术提供商获得 GenAI 功能，要么到 2024 年中期购买新的 GenAI 工具。” Gartner 的人力资源研究和咨询实践。 Rizaoglu 表示，许多人力资源技术供应商仍在努力弄清楚如何充分利用 GenAI 的功能，同时平衡保护数据、确保有效治理和考虑道德因素的需求。他表示：“在实现这种精细的平衡之前，GenAI 能力在人力资源领域的大规模扩散将面临挑战。” Stelzner 表示，虽然去年 GenAI 带来了兴奋并刺激了人力资源领域的实验，但“冷酷的现实”是许多组织仍然没有准备好全力投入。 “到 2024 年，GenAI 采用率的任何增长都可能是渐进式的，包括更好地利用聊天机器人、增强员工沟通的个性化、更加关注人才招聘领域的可能性以及系统升级和实施测试的自动化。”他说。 埃森哲进行的研究发现，GenAI 有潜力改变组织 40% 的工作时间。“这并不意味着 40% 的工作岗位将会消失，而是反映了工作方式的转变，”负责该公司人力资源转型和交付实践的埃森哲董事总经理迈克尔·本亚明 (Michael Benyamin) 表示。“技术将取代一些任务，让员工在工作中变得更有生产力、更具创造力和效率。人工智能是人类能力的倍增器。” 随着 GenAI 开始增强或转变更多的工作角色，人力资源和学习领导者将需要创建敏捷的学习计划，以重新培训员工使用快速发展的 GenAI 工具的技能。许多工人几乎没有接受过如何使用该技术的培训。 Salesforce 于 2023 年进行的一项调查发现，62% 的员工表示他们缺乏有效、安全使用 GenAI 的技能。波士顿咨询集团的另一项研究发现，尽管该技术有望从根本上重塑他们的工作方式，但只有 14% 的一线员工接受过与人工智能相关的技能提升。 Benyamin 表示，随着 GenAI 在工作场所变得越来越普遍，人力资源部门必须帮助制定负责任和道德的人工智能使用政策，并制定培训计划来解决偏见、歧视、数据保护和适当数据使用等问题。 更加关注变革管理，提高新人力资源软件的采用率 专家认为，许多人力资源领导者将寻求通过采用变革管理策略来提高 2024 年技术投资的回报，例如确保员工使用新采用的技术解决方案。 人力资源面临的一项持续挑战是管理云技术供应商源源不断的更新和新功能，导致许多人力资源软件即服务 (SaaS) 许可证闲置。位于加利福尼亚州帕洛阿尔托的 SaaS 智能平台 Productiv 于 2023 年进行的一项研究发现，组织中 53% 的 SaaS 许可证总体未使用。 位于阿拉巴马州亨茨维尔的人力资源咨询和研究公司 Lighthouse Research 的首席研究官本·尤班克斯 (Ben Eubanks) 表示，许多组织低估了如何确保员工在新的人力资源平台和应用程序推出后定期使用它们。 “人力资源和人才技术不是‘按下开关就可以开始’类型的解决方案，”尤班克斯说。“但许多雇主仍然这么认为，并低估了采用该技术所需的行为改变。” 重新思考员工敬业度调查 更多的人力资源和执行团队将重新考虑如何创建敬业度调查以及分发调查的频率，以减少“调查疲劳”。 ServiceNow 高级副总裁兼员工工作流程产品总经理 Gretchen Alarcon 表示，随着组织继续努力寻找“秘方”，让员工在 2024 年更频繁地重返办公室，人力资源领导者将需要使用更有意义的方法测量工具。 她说：“组织将利用员工的声音调查和反馈来分析在办公室花费的时间与员工情绪和生产力的关系。” “这将使领导者能够根据数据而不是假设做出决策，这样他们就可以根据员工的需求、行为和提高生产力的因素来调整重返办公室 [RTO] 策略。” 从改进的技能技术中获益 转向基于技能的招聘和晋升策略的人力资源和招聘领导者将受益于技术的发展，例如使用人工智能和机器学习自动创建、组织和更新员工技能数据库的技能本体，从而显着减少体力工作量人力资源部要求。 下一代本体论和其他新兴技能技术可以使人力资源领导者更轻松地识别组织中的技能差距，然后相应地调整招聘或学习和发展计划。虽然市场上没有真正的端到端技能技术解决方案，但许多人力资源领导者正在将人工智能驱动的点解决方案结合在一起，以创建有效的技能数据库和评估工具。 “到 2024 年，随着组织采用技能智能技术，他们将开始认识到，这不是拥有最大的技能数据库，而是一个不断更新的丰富且互联的技能数据库，”Alarcon 说。她补充说，此类数据库使公司能够了解人才缺口是否是由于缺乏合适的人才或缺乏技能造成的，以及他们是否需要为未来培养、购买或借用人才。 预测分析工具变得更加强大 人力资源从业者和分析师认为，人力资源部门将受益于日益强大的预测分析工具，这些工具将改善劳动力规划和数据驱动的决策。 光辉国际 (Korn Ferry) 的冈萨雷斯 (Gonzalez) 表示：“凭借更大的数据集和改进的算法，人力资源部门应该能够采取一些措施，例如缓和过去几年的招聘盛衰周期。” 例如，冈萨雷斯表示，雇主不会雇佣数千名员工，然后在六个月后解雇其中一半，而是能够更好地预测在合理的时间内他们需要的员工数量和类型。他说：“然后他们可以雇用和培养一支更稳定的员工队伍，以造福所有组织利益相关者。” Stelzner 认为，许多人力资源部门由于没有充分发挥数据分析的潜力而错失了机会。他说，如果未能投资分析人力资源数据所需的工具和技能，可能会导致洞察力缺失，并阻碍人力资源战略与更广泛的业务目标保持一致的能力。 “从历史上看，人力资源部门也一直在努力解决数据的准确性问题，”斯特尔兹纳说。“这会影响该职能部门依靠报告和数据分析来通知和支持其决策的能力。更糟糕的是，企业的其他部门已经接受过培训，预计人力资源系统会提供有问题的数据，因此在数据清理、报告和分析方面还有很多工作要做，以重新获得整个企业的可信度。” Dave Zielinski 是 Skiwood Communications 的负责人，这是一家位于明尼阿波利斯的商业写作和编辑公司。 作者：Dave Zielinski
    HR Technology
    2024年01月09日
  • HR Technology
    2023 Recap: A Turbulent Year with Significant M&A Changes in the HR Technology Market Our annual reporting on M&A in the HR technology space is one of our most popular pieces of content year after year (see our 2022 version here). We look at some of the many announcements that happen over the course of the year, flag some key ones, and identify any big trends that seem to appear across the landscape. 2023 was no different than recent years. It’s a perennial “trend” from the “experts” in the space that “we will see more consolidation.” That statement is about as safe as saying that summer in Texas will be hot this year. Shocker. What’s most exciting for us at Lighthouse is that many of these companies that are succeeding and shaking up the industry are also winners in the HR Tech Awards program (now accepting 2024 submissions), a clear indication that the judges in our program see significant value in what these firms are bringing to the market for their clients. If you’re an employer looking for the right technology so support your organization, don’t hesitate to reach out for our insights. Overall HR Tech M&A Trends and Insights A considerable amount of consolidation in the services space, which is a bit tangential to this analysis of HR technology but significant for the larger market. For instance, Arthur Gallagher & Co. acquired Buck in the benefits consulting and administration services space. We’re starting to see some of these benefits companies using their data in creative ways to identify health trends, provide analytics back to employers on their workforce, etc.  WilsonHCG picked up Personify in the recruitment process outsourcing industry. Our 2023 RPO research is some of the most compelling in the world when it comes to RPO buyer insights and behaviors. Engage PEO acquired Zamp. Relatively small in the bigger scheme of things, but we’re planning some PEO research in 2024 to explore how PEO is evolving so we’re watching the space closely.  Also seeing some interesting crossover as services companies buy technology firms to scale and differentiate their services as well as technology companies buying service providers to reach more clients and bring more data into their solutions. AI-based solutions require a lot of data to train the models, and if it’s structured properly, services companies are sitting on a ton of data that can be a competitive advantage. In the past month we’ve met with two different companies that started as services firms and built a technology that could take their intellectual property and scale it to more customers via a platform. The challenge with that is that services companies make money when they touch customer accounts and support them, but product/technology companies make money when they don’t have to touch customer accounts. It’s a difficult transition to make. Let’s take a look at some of the announcements over the last year. Key 2023 HR Technology Mergers and Acquisitions Talent Acquisition and Hiring Radancy, a global leader in recruiting with its Radancy Talent Cloud, acquired Brazen, a hiring event and communication platform and Ascendify, an enterprise-focused recruiting CRM. Lightcast, a labor market insights company created by the merger of Emsi and Burning Glass, acquired Gazelle, a provider of B2B intelligence. LiveHire, an HR Tech Award-winning hiring platform, acquired Arrived Workforce Connections to support growth in candidate reach and direct sourcing. Clovers acquired Talvista to bring two inclusive hiring solutions under one roof. Fama, an innovator in social media background screening and HR Tech Award-winning company, acquired Social Intelligence. Spark Hire, a video interviewing solution, acquired Chally, an assessment solution. Video-only screening providers are trailing off in favor of video + assessment solutions that can provide a more full (and unbiased) picture of what candidates are about. Spark Hire also merged with/acquired Comeet, an ATS solution. Veritone (Pandologic AI-driven programmatic recruiting solution) acquired Broadbean, a legacy recruiting technology provider. Intrigued by the depth and breadth of data this might offer to train the Veritone AI solutions under the hood. Appcast, a leader in programmatic recruiting technology, acquired Bayard Advertising. Hirevue acquired Modern Hire, an HR Tech Award-winning provider of video interview and hiring assessment solutions for enterprise employers. Fountain, a high-volume hiring and onboarding solution, acquired Clevy. Talent Management and Employee Experience Engagedly, an HR Tech Award-winning company, acquired theEMPLOYEEapp for enabling client communications with frontline workers. Neobrain, a global skills insights and intelligence provider, acquired Flashbrand to establish a US presence and bring its popular technology to North America. Mitratech, an HR Tech Award-winning company and leader in employer compliance solutions, acquired Trakstar (talent acquisition and development) and Circa (DEI and OFCCP compliance). Simpplr, an internal communication and work hub, acquired Socrates.ai, one of the industry’s most compelling intelligent chatbot solutions for employee experience and navigation, to increase the ease of which employees find, access, and act on information. Edenred acquired Reward Gateway, a rewards and recognition provider. Perceptyx acquired Humu, the “intelligent nudges” company made famous by its founder, former Google HR leader Lazlo Bock. Intrigued to see this functionality in the Perceptyx ecosystem. Peoplelogic, an HR Tech Award-winning firm, picked up Plai to enhance its features across performance management and the overall employee experience. Core HR/HCM/Compensation Salary.com, an HR Tech Award-winning company, acquired CompXL to scale its enterprise compensation management functionality across merit increases, bonus allocations, and other rewards. Paycor, an HR Tech Award-winning SMB HR, payroll, and talent solution, acquired Verb for microlearning support. ADP, a leader in payroll and HR solutions, acquired Sora, a low-code workflow automation tool. Deltek, the global leader in payroll and finance solutions for government contractors, acquired Replicon, a workforce management system. When I Work, an HR Tech Award-winning company for its workforce management solution, acquired Lean Financial to incorporate earned wage access into the solution. UKG acquired Immedis, a global payroll solution, to enable more seamless payroll in countries around the world. Learning and Talent Development This year we’re unveiling our new Learning Tech Awards program to focus more deeply on the sophisticated and robust technologies supporting talent development, employee growth, and skills intelligence across the industry. If you operate in this space, you won’t want to miss it. Docebo, a leader in the global LMS market, acquired Edugo.ai to increase its AI capabilities. Go1, a leader in global learning content, acquired Blinkist and Anders Pink. LMS365 acquired performance management solution Weekly10. The Bottom Line In spite of the continuing challenges from an economic perspective, 2024 is poised to have some interesting activity. Election years are always a bit unpredictable, and many new providers are emerging to tackle today’s most pressing talent and workforce challenges. Stay on top of the latest by following our ongoing research and insights across the HR technology market. Curious what we do at Lighthouse? We work with employers by providing research and advisory services around 1) the complicated HR technology landscape, 2) the talent trends and practices that matter most to the modern workforce, and 3) executive presentations to internal teams on how the market is changing in their industry or demographic. We work with solution providers and vendors that want to sell more product and serve more customers. We use a combination of advisory, industry insights, market intelligence, and custom research to support our partners. HR Tech Awards opens for submissions on January 3rd: learn about benefits of participation Ben Eubanks Ben Eubanks is the Chief Research Officer at Lighthouse Research & Advisory. He is an author, speaker, and researcher with a passion for telling stories and making complex topics easy to understand. His latest book Talent Scarcity answers the question every business leader has asked in recent years: “Where are all the people, and how do we get them back to work?” It shares practical and strategic recruiting and retention ideas and case studies for every employer. His first book, Artificial Intelligence for HR, is the world’s most-cited resource on AI applications for hiring, development, and employee experience. Ben has more than 10 years of experience both as an HR/recruiting executive as well as a researcher on workplace topics. His work is practical, relevant, and valued by practitioners from F100 firms to SMB organizations across the globe. He has spoken to tens of thousands of HR professionals across the globe and enjoys sharing about technology, talent practices, and more. His speaking credits include the SHRM Annual Conference, Seminarium International, PeopleMatters Dubai and India, and over 100 other notable events. Contact Ben
    HR Technology
    2024年01月05日
  • HR Technology
    The best HR & People Analytics articles of December 2023 The December edition of my monthly compendium is an opportunity to reflect on the year that has nearly passed and look forward to what lies ahead. 2023 has proved to be another challenging year full of geopolitical tension, economic uncertainty, and climate inaction. For HR and people analytics professionals, it has been a year dominated by generative AI, skills, and the continuing journey of HR from support function to strategic partner. HR’s elevation to being a strategic partner is the underlying theme of my recently published 12 Opportunities for HR in 2024 article (see FIG 1). If you’d like to contribute suggestions for opportunities 11 and 12, please click here and add your suggestion in the comments. FIG 1: 12 Opportunities for HR in 2024 (Source: David Green) Despite managing to catch Covid on the flight home, I thoroughly enjoyed my recent trip to India, at the end of November, where I spoke at the Indeed FutureWorks event in Bangalore. A huge thank you to Aarti Deoskar, Jessie Paul, Rittik Mondal, Rohan Sylvester, and the Indeed team for inviting me. Looking for a new role in people analytics or HR tech? Before we get to this month’s collection of resources, I’d like to once again highlight the wonderful resource created by Richard Rosenow and the One Model team of open roles in people analytics and HR technology, which now numbers nearly 500 roles. Happy Holidays! I wish all readers who are taking a break over the festive season Happy Holidays, and a prosperous and healthy 2024. Thank you to everyone who has supported Insight222, myHRfuture and the Digital HR Leaders Podcast in 2023. It’s much appreciated. Share the love! Enjoy reading the collection of resources for December and, if you do, please share some data driven HR love with your colleagues and networks. Thanks to the many of you who liked, shared and/or commented on November’s compendium (including those in the Comments below). If you enjoy a weekly dose of curated learning (and the Digital HR Leaders podcast), the Insight222 newsletter: Digital HR Leaders newsletter is published every Tuesday – subscribe here. 2023 HR RETROSPECTIVES AND 2024 PREDICTIONS DAVE ULRICH - The State of HR: Looking Back and Envisioning Forward | McKINSEY - What matters most? Eight CEO priorities for 2024 | CULTURE AMP - 7 trends that will define HR in 2024 | KEN OEHLER - RADICL People Predictions for 2024 | VISIER – The New Rules of HR: 10 Workforce Trends for 2024 | i4CP – 2024 Priorities and Predictions Putting my own 12 Opportunities for HR in 2024 to one side, there are a plethora of other trends and predictions being published. Six resources that I recommend digging deeper into come from Dave Ulrich, McKinsey, Culture Amp, RADICL, Visier Inc. and Institute for Corporate Productivity (i4cp). (1) Dave Ulrich looks back on the main themes in HR in 2023, declares “Now is the time for HR,” and outlines four areas where his firm, The RBL Group, will be conducting think tanks in 2024. (2) Homayoun Hatami and Liz Hilton Segel of McKinsey present eight CEO priorities for 2024 including Learn to love your middle managers. (3) Didier Elzinga and Damon Klotz co-opt contributions from Stacia Sherman Garr, Justin Angsuwat, Dr Kirstin Ferguson AM, and Hung Lee for their thoughtful seven trends that will define HR in 2024 including greater pay transparency, staying human as intelligent tech evolves, and regaining trust. (4) RADICL’s Ken Oehler presents five people predictions for 2024, with my favourite being #4 Attention Shifts to Solving Distributed Team Effectiveness (see FIG 2 for RADICL’s model of distributed team effectiveness: Coordination, Connection and Competence). (5) Visier collect trends from a number of industry luminaries and practitioners including Wendy Evesque, Michael Salva, Melissa Arronte, and Eric Bokelberg, with the lead trend being: The CHRO Leads From the Outside-In. (6) Last but not least, in his Foreword to i4CP’s annual look at priorities and predictions, Kevin Oakes highlights the dominance of AI and provides an illuminating insight on the direct correlation between the adoption of AI and business performance: “AI Innovators are more likely to have higher market performance, increased levels of innovation and productivity, and healthier cultures than those that have been slower to adopt AI.” Now is the time for HR FIG 2: The Collaboration Opportunity for distributed team effectiveness (Source: RADICL) PEOPLE ANALYTICS ROB BRINER - Evidence-based HR and people analytics are the same, right? Afraid not Rob Briner examines the relationship between people analytics and evidence-based HR, explaining each of them, outlining the differences (see FIG 3) and concluding that: “While people analytics is a welcome and necessary development within the HR profession and certainly goes some way to helping HR become more effective, it is not, on its own, enough.” Rob also highlights the three key principles of evidence-based HR: (1) Incorporate multiple sources and types of evidence and information. (2) Adopt a structured and explicit process of gathering and using evidence. (3) Focus on the most trustworthy and relevant evidence. FIG 3: Differences between people analytics and evidence-based HR (Source: Rob Briner) PATRICK COOLEN - Establishing people analytics as a common practice (part II) This article by Patrick Coolen, which follows up Part 1 where he presented his People Analytics FIT model, dovetails nicely with Rob Briner’s article as it focuses on the evidence-based HR services provided by people analytics functions. In the article, Patrick recommends that to establish people analytics as a common practice companies should not only focus on becoming more mature in the evidence-based HR services but in integrating these services too. Patrick provides a roadmap to achieving this (see FIG 4) as well as outlining three reasons for integration: (1) Integration leads to faster and higher-quality delivery. (2) Integration attracts experienced people analytics leaders. (3) Integration supports being a strategic advisor. High impact people analytics practices integrate various evidence-based HR services FIG 4: Road map strategies for people analytics practices (Source: Patrick Coolen) JAAP VELDKAMP AND HELEEN GOET - How to determine your success KPIs in HR This is a great article by Patrick Coolen’s erstwhile colleague and successor as Head of People Analytics at ABN Amro, Jaap Veldkamp. In the article, Jaap – together with Heleen Goet – outline the process followed at ABN Amro for establishing a clear link between each HR service and its impact on business outcomes. It outlines a ‘define your success’ workshop conducted between the people analytics team and HR at the bank to link each service to output and outcomes (see example in FIG 5). The article also outlines two benefits of this approach: (1) It leads to better collaboration between various teams in HR. (2) It magnifies the broader advisory role of people analytics. FIG 5: Source: Jaap Veldkamp and Heleen Goet NAOMI VERGHESE AND DAVID GREEN - The Importance of Ethics in People Analytics for Leading Companies Naomi Verghese and I explore the critical topic of ethics, which is one of the eight characteristics of Leading Companies in People Analytics identified in the recently published Insight222 People Analytics Trends study. In the article, Naomi and I outline three key practices on ethics adopted by Leading Companies in their people analytics work. (1) Strong Ethical Principles - including the development of an Ethics Charter, with an example from Jaap Veldkamp of ABN AMRO. (2) Open Communication – including the ‘Fair Exchange of Value’, with a contribution from Dawn Klinghoffer on the importance of communicating value to employees. (3) Ethics Oversight – including the institution of an ethics and privacy council (see FIG 6). The “Fair Exchange of Value” is a key mantra for people analytics teams. If employees understand how their data will be used and see the benefit, it is far more likely that they will contribute data. FIG 6: Ethics and Privacy council for people analytics (Source: Excellence in People Analytics by Jonathan Ferrar and David Green) TOM REDMAN AND TOM DAVENPORT - The Rise of Connector Roles in Data Science In our research at Insight222, one of the characteristics of Leading Companies is that they invest in three key skills in their people analytics team: consultants, data scientists and behavioural scientists. In their article, Tom Redman and Tom Davenport outline the role of connectors, who bridge the organisational gaps that often thwart success with data science projects, and whose key responsibilities mirror many of those attributed to the people analytics consultant in the Insight222 Operating Model. These include: (1) Framing the problem to be solved. (2) Translating between business and technical people. (3) Communicating requirements, progress, and issues within the team. (4) Keeping track of progress toward the overall goal of deployment and organisational change when nobody else sees the big picture. The article outlines how connectors close the gap, provides guidance on how to manage connectors, and provides examples of what companies are trying in this area. Connectors help senior business leaders understand both the potential and challenges of data science, help data science leaders understand the top problems facing the business, and establish a portfolio of data science projects that aligns with business needs. BEN TEUSCH - An incomplete starter's guide to attrition metrics | SARA TIEW - Thriving Together: A Year on UOB's Culture Transformation Journey | JACKSON ROATCH – Lessons from Sports Analytics | LYDIA WU - HR in 2024: A Practitioner’s View | MATTHEW HAMILTON - How data quality is like a DIY haircut November has seen a number of articles written by current and recent people analytics leaders, which typically act as a spur and inspiration for the field. Five are highlighted here: (1) Ben Teusch, part of Meta’s people analytics team, provides a helpful to attrition metrics (see FIG 7). (2) Sara Tiew provides insights from UOB’s culture transformation journey over the last 12 months. (3) Jackson Roatch draws four lessons from sports analytics that we could look to apply in the “less perfect world” of people analytics. (4) Lydia Wu continues her prolific ‘Oops, did I think that out loud’ series by looking into her crystal ball to see what is in store for HR and people analytics in 2024. (5) The nearly as prolific Matthew Hamilton explains why the maxim of people assuming that the better the data quality, the better the analysis is often not correct. FIG 7: Source: Ben Teusch GENERATIVE AI AND THE FUTURE OF WORK PLACID JOVER - The Future of Work is Flexible In this article, Placid Jover, Chief Talent and Reward Officer, presents three innovations Unilever is making to embrace a move from owning to accessing talent. (1) The Skills Passport (“As companies jostle to build a complete picture of what they need and how to get there, we’re fast learning that the real currency is skills”). (2) The Internal Talent Marketplace (“We have already seen a 40% increase in productivity and a significant reduction in attrition directly linked to Flex Experiences”). (3) The Pixelated Workforce (“Breaking down work into its core elements or “pixels”, then dividing those up between permanent staff and contractors, with the AI recommending teams or individuals for missions based on how they work with others as well as how they perform”). For more from Placid, I recommend listening to this episode of the Digital HR Leaders podcast: How Unilever is Creating New Ways of Working for Its Employees. As companies jostle to build a complete picture of what they need and how to get there, we’re fast learning that the real currency is skills RICHARD FLORIDA, VLADISLAV BOUTENKO, ANTOINE VERTRANO, AND SARA SALOO – Rethinking Corporate Location Strategy: The Rise of the Meta City In their Harvard Business Review article, Richard Florida, Vladislav Boutenko, Antoine Vetrano, and Sara Nasir Saloo outline the structure and logic in where and how businesses locate their offices and compete for talent. Their research identifies the rise of a new type of city, the ‘Meta City,’ which combines elements of physical clustering with digital connectivity (see FIG 8). They argue that this makes location strategy even more important including corporate headquarters, innovation centres, and satellite offices — and more significantly, talent attraction and retention. A must-read for those involved in talent intelligence, hybrid work strategy and strategic workforce planning. FIG 8: Ranking the world’s Meta Cities (Source: Florida et al) PETER JOHN LAMBERT, NICHOLAS BLOOM, STEVEN DAVIS, STEPHEN HANSEN, YABRA MUVDI, RAFFAELLA SADUN, AND BLEDI TASKA - Research: The Growing Inequality of Who Gets to Work from Home Data is increasingly showing that there is a large and growing divide in terms of who gets to work from home. In their Harvard Business Review article, Peter John Lambert, Nick Bloom, Steven J. Davis, Stephen Hansen, Yabra Muvdi, Raffaella Sadun, and Bledi Taska, Ph.D. present research on job postings, which finds that remote work is far more common for higher paid roles, for roles that require more experience, for full-time work, and for roles that require more education. Managers should be aware of this divide, as it has the potential to create toxic dynamics within teams and to sap morale. For more from Nick Bloom, tune in to his conversation with me on the Digital HR Leaders podcast: Unmasking Common Myths Around Remote Work. FIG 9: Work-from-home opportunities are more common for highly-paid jobs (Source: Lambert, Bloom et al) RYAN ROSLANSKY - Talent Management in the Age of AI | GIANNI GIACOMELLI - Learning and Talent Management in the Age of AI | TOMAS CHAMORRO-PREMUZIC - 4 science-backed reasons AI is better at predicting your potential in a job | DAVID L. SHRIER, JULIAN EMANUEL, AND, MARC HARRIS – Is Your Job AI Resilient? | NADA R. SANDERS AND JOHN D. WOOD - The Skills Your Employees Need to Work Effectively with AI A key opportunity for HR in 2024 will be to prepare the organisation and HR for the age of AI. Here are five articles that support this imperative. (1) LinkedIn CEO Ryan Roslansky highlights three big shifts to support success a) redefine jobs as a collection of a skills and tasks, not titles, b) bring skills and workforce learning to the centre of talent management, and c) embrace AI to focus teams on human-to-human collaboration, and shares examples from IBM, Genpact, Unilever as well as LinkedIn. (2) Gianni Giacomelli provides more detail on the Genpact example cited by Ryan in his article explaining how they have connected internal mobility, learning, engagement and collaboration (see FIG 10). (3) The brilliant Dr Tomas Chamorro-Premuzic digs into the science to present four ways that AI is better at predicting potential including how AI can increase fairness and diversity. (4) David Shrier, Julian Emanuel, and Marc Harris outline their research on which jobs will be most affected by AI, including which stand to benefit the most from augmentation by AI (see FIG 11). (5) Nada Sanders and John Wood present findings from their research, which highlights two key areas of investment in skills related to AI: a) effective interpersonal skills, and 2) domain knowledge that can help workers get the most — and make the best decisions — when working with AI tools. FIG 10: Source – Gianni Giacomelli, Genpact FIG 11: AI Proficiency relative to human by cognitive task (Source: Shrier et al) THE EVOLUTION OF HR AND DATA DRIVEN CULTURE MARIE NEICU, JOAN BEETS, FRANK VAN DEN BRINK, BEAU HOES, AND EDIS PAJIC – Humanized Growth and Multistakeholder Value Creation: Perspectives from Chief Human Resources Officers| McKINSEY - How is the CHRO role changing? Two resources exploring perspectives from chief human resource officers and how the role is changing. Firstly, the KennedyFitch team of Maria Neicu, Joan Beets, Frank van den Brink, Beau Hoes, and Edis Pajic share the findings from structured interviews with 30 CHROs including Janine Vos, Katarina Berg, Paulo Pisano (also see episode of the Digital HR Leaders podcast with Paulo below), Mala S., and Loren I. Shuster. The report is framed around the concept of humanised growth, which is defined as: “Humanized Growth addresses the needs of all shareholders, consumers, colleagues, community and the capital Markets.” It explores the role of the people function as a strategic partner, how to harness technology for impact, how to advance diversity, equity and inclusion, and why humanised growth starts with the employee experience. The second article from McKinsey examines the evolution of the HR operating model, how CHROs are putting the ‘human’ back into human resources, how GenAI will affect the HR function, and how CHROs can build the leadership capabilities required for an agile transformation. WORKFORCE PLANNING, ORG DESIGN, AND SKILLS-BASED ORGANISATIONS RICHARD ROSENOW - The SOAPI Framework - A New Lens for Modern Workforce Planning Richard Rosenow is one of the best thinkers in our field and demonstrates it with his paper for One Model introducing his SOAPI framework for workforce planning. As he explains, it is a methodology that offers a structured method to break workforce planning into component parts. Each component represents a pillar, collectively forming the discipline of workforce planning. These are: (1) Strategy, (2) Operations (3) Analytics, (4) Planning, and (5) Intelligence. The paper breaks each of these down, and details what happens if one of these pillars is missing (see FIG 12). FIG 12: Source: Richard Rosenow, One Model SCOTT REIDA - Zero-based workforce planning with ChatGPT in Tableau A brilliant, practical, and open-source guide on zero-based workforce planning with inputs from ChatGPT and outputs in Tableau, which has been created by Scott Reida, a workforce strategist at AWS. Scott defines zero-based workforce planning as “A methodology that can shape how businesses align their human capital with organizational goals and enable a more cost-effective solution that gets closer to having the right people at the right time.” His article provides a step by step guide to creating a dashboard (available here) that utilises outputs from ChatGPT for demand and aligns them with the supply of FTEs, facilitating the understanding of capability gaps. FIG 13: Source: Scott Reida JEFF WILLIAMSON AND DONNCHA CARROLL - How to Start Smart With a Talent Marketplace Despite some of the hype, launching an internal talent marketplace can be a significant challenge for organisations. In this article, Jeffrey Williamson and Donncha Carroll share the journey to implementing a talent marketplace at Booz Allen and the key lessons learned with regards to user adoption and change management. The article outlines four lessons: (1) Bring on the gamification (gamifying learning and offering recognition and rewards to employees who invested in their own development). (2) Data goals must be relevant to individual career goals. (3) Even change management needs to change (see FIG 14). (4) Momentum, motivation, and measurement matter a great deal. FIG 14: Four Culture Challenges to Conquer with a Talent Marketplace (Source: Jeff Williamson and Donncha Carroll) BRIAN FISHER, MELBA GANT, VASILIS HATZOPOULOS, KATIE JENKINS, HEATHER RYAN, AND PETER STEVENSON - 2023/2024 skills snapshot survey report: Skills-powered practices, future pay and effectiveness Mercer’s fourth annual Skills Snapshot Survey has a wealth of insights and guidance that highlight the progress many companies are making to embrace platforms and data to action skills-based strategies. In the paper, the authors (Brian Fisher, Melba Gant, Vasilis Hatzopoulos, Katie Jenkins, ?Heather Ryan , and Peter Stevenson) outline the benefits of skills-based practices (see FIG 15), how to build a skills foundation, how to determine the frequency of skill assessment, how to tackle skills-based rewards programs, and provide five steps to building a skills-based talent strategy: (1) Build the business case. (2) Align the key performance indicators. (3) Design with the end in mind. (4) Prioritise change management. (5) Drive and sustain. Also features contributions from Amy Baxendale and Anshul Sheopuri. FIG 15: The benefits of skills-based practices (Source: Mercer) EMPLOYEE LISTENING, EMPLOYEE EXPERIENCE, AND EMPLOYEE WELLBEING NICK LYNN - Can you have high employee engagement and high turnover? Nick Lynn reveals that nearly 20% of companies have both high employee engagement and high turnover; and then provides a wealth of guidance on what you can do about it if that’s the case for your company. He breaks down employee engagement and although it can be related to retention, why it is different. Nick shares insightful research from the CIPD on the and WTW on the drivers of employee engagement and experience, with the latter providing analysis and guidance on the links between engagement, performance, and retention. The article highlights WTW research by angela paul and Stephen Young, where they segmented 350 companies according to both the level of employee engagement and the level of retention, comparing each to their respective industry average (see FIG 16), and how companies in the top right quadrant (‘Value Drive’) also have a performance advantage, delivering the best profits and growth (also see FIG 16). Finally, Nick outlines a three-step approach for companies in the Value Risk category: Understand — Prioritise — Spark Change. I also recommend subscribing to Nick’s equally insightful EX Leadership Newsletter. FIG 16: Source – WTW INDRANEEL BANERJEE, AVINASH CHANDRA DAS, JATIN PANT, AND SHIKHA SHARMA - Employee experience still matters: Talent retention at GCCs While focused on ways to improve employee retention at Global Capability Centres, the five actions to improve employee experience outlined by Indraneel 'Indy' Banerjee, Avinash Chandra Das, Jatin Pant, and Shikha Sharma in their article for McKinsey could be implemented in other business areas. The five actions are (1) Use personas and journeys to customise EX. (2) Reimagine the role of manager to emphasise coaching and mentorship (see FIG 17). (3) Find new ways to embed culture and values for a hybrid work environment. (4) Redesign the office for collaboration and connection. (5) Rethink the traditional workday. Executives should treat EX as seriously as CX by being more scientific and more tailored in their approach. FIG 17: The roles of manager need to be redesigned to focus more on coaching and mentoring (Source: McKinsey) LEADERSHIP AND CULTURE RAINER STRACK, SUSANNE DYRCHS, AND ALLISON BAILEY - Use Strategic Thinking to Create the Life You Want How can we apply the learnings from corporate strategy projects to our own lives? That’s the unlikely – but ultimately captivating – exam question tackled by BCG’s Rainer Strack, Dr. Susanne Dyrchs, and Allison Bailey in their absorbing Harvard Business Review article. The authors present the seven steps they typically use to conduct a corporate strategy project and show how these can be adapted to an individual (see FIG 18). They then describe each of the seven steps with insights and powerful visualisations, as well as demonstrating how to develop a personal life strategy and summarise it on a single page. File under must-read. FIG 18: From corporate strategy to life strategy (Source: Strack et al) MCKINSEY HEALTH INSTITUTE - Reframing employee health: Moving beyond burnout to holistic health Jacqui Brassey, PhD, MA, MAfN (née Schouten), Brad Herbig, Barbara Jeffery, and Drew Ungerman present the key findings from a recent McKinsey Health Institute study that offers insights into how leaders can help create a workplace that prioritises physical, mental, social, and spiritual health. Three standout findings are (1) Employees who had positive work experiences reported better holistic health, are more innovative at work, and have improved job performance. (2) For employees, good holistic health is most strongly predicted by workplace enablers, while burnout is strongly predicted by workplace demands (see FIG 19). (3) Organisational, team, job, and individual interventions that address demands and enablers can boost employee holistic health. FIG 19: Source: McKinsey Health Institute DIVERSITY, EQUITY, INCLUSION, AND BELONGING McKINSEY - Diversity matters even more: The case for holistic impact The fourth report in a McKinsey series stretching back to 2015, investigating the business case for diversity. The main takeaway is that the 2023 study finds that the business case is the strongest it has been yet with leadership diversity being convincingly associated with business performance, societal impact and employee experience (see FIG 20). The full 52 page report details case studies from the likes of IHG Hotels & Resorts, DHL Group, and Air New Zealand, as well as presenting five levers for change for moving from commitment to action. Kudos to the authors: Dame Vivian Hunt, Sundiatu Dixon-Fyle, Celia Huber, Maria del Mar Martinez, Sara Prince, and Ashley Thomas. FIG 20: The business case for diversity on executive teams and financial outperformance (Source: McKinsey) HR TECH VOICES Much of the innovation in the field continues to be driven by the vendor community, and I’ve picked out a few resources from December that I recommend readers delve into: ERNEST NG - What Matters Now: Embracing the New Era of Disclosures for All HR Technology Stakeholders – Ernest Ng, PhD of HiredScore explains why disclosure is a critical tool to maintain trust and legitimacy across four areas (1) Employer Disclosure with Candidates/Employees. (2) Solution Provider Disclosures to the Buyer. (3) Organisational Disclosures to the Government. (4) Industry Analysts with Consumers – the latter is one, I’d personally like to see more of us talking about as we head into 2024. JAMAL MAZYCK - How Employee Resource Groups help build a culture of belonging - Jamal Evan Mazyck, Ed.D provides insights from Atlassian’s journey in building Employee Resource Groups, and how they engender a sense of belonging: “It’s not enough to recruit talent from underrepresented groups and give them equal access to opportunities; once they’re in the door, these employees need to feel that they belong.” STEVE HUNT - The Skills Management Revolution: one-year, two-year, and three-year predictions – SAP’s Steve Hunt breaks down skills management in his article, which covers what it is, why it’s important, the three ontologies companies are building with skills management solutions (labour market, organisational and employee/candidate/contractor), and a one, two, and three year outlook on how these solutions will reshape the nature of work and organisations. FIG 21: Source – Steve Hunt FRANCISCO MARIN - Reducing Employee Attrition with ONA: A Case Study from a European IT Company - Francisco Marin from Cognitive Talent Solutions presents a case study of a European IT company to showcase how ONA can be used to help predict and mitigate attrition, ultimately leading to a more stable and productive workforce. PHIL ARKCOLL - Developer Experience: The Developer Centric Approach to Productivity - Another great read from Philip Arkcoll of Worklytics. This time Phil outlines how by using active and passive listening with the objective of working to improve the developer experience, organisations can get developer buy in, boost productivity and attract top technical talent. FIG 22: Source – Phil Arkcoll, Worklytics PODCASTS OF THE MONTH In another month of high-quality podcasts, I’ve selected four gems for your aural pleasure: (you can also check out the latest episodes of the Digital HR Leaders Podcast – see ‘From My Desk’ below): JASON AVERBOOK - Generative AI: Revolutionizing the Employee Experience - In this episode of the Mercer | Leapgen AI-volution: Redefining HR podcast, Jason Averbook explores the transformative power of generative AI in shaping the future of employee experience. AARON DE SMET, ANGELIKA REICH, ROBERTA FUSARO, AND LUCIA RAHILLY - Who is productive, and who isn’t? Here’s how to tell - In an episode of The McKinsey Podcast, Aaron De Smet and Angelika Reich talk to hosts Roberta Fusaro and Lucia Rahilly about their latest research on employee productivity. KAYE SLAY, VANDANA BHAGTANI, STACIA GARR, AND DANI JOHNSON - Narrowing Scope & Purpose to Ease the Transition to a Skills-Based Organization – Another great episode of RedThread Research’s Workplace Stories podcast where Vandana Bhagtani and Kaye Slay-Pruitt, UXC share with Stacia Sherman Garr and Dani Johnson how they’ve worked together to develop a strategy for transitioning Hewlett Packard Enterprise to a skills-based organisation. DOUG SHAGAM, COLE NAPPER, AND SCOTT HINES - People Analytics at J&J & Playing Drums – Doug Shagam joins Cole Napper and Scott Hines, PhD on the Directionally Correct podcast to discuss some of the great work the J&J team is doing in people analytics. VIDEO OF THE MONTH AMY EDMONDSON, ADAM GRANT, AND DES DEARLOVE - Decoding failure, debunking feedback, & harnessing learning for success A fascinating conversation with Amy Edmondson and Adam Grant, who have just been recognised as #1 and #2 respectively on the prestigious Thinkers50 list of management thinkers. In the discussion with Des Dearlove, Amy and Adam discuss how to manage (and maximise learning from) failure and how to unlock hidden potential (it’s not about where you start; it's how far you can go). BOOK OF THE MONTH KATE BRAVERY, ILYA BONIC, AND KAI ANDERSON - Work Different: 10 Truths for Winning in the People Age I'm currently reading the recently published book by Kate Bravery, Ilya Bonic, and Kai Anderson, which is based around 10 'truths' that are shaping the world of work. Three of the truths are: (1) Purpose rules and empathy wins. (2) Intelligence is getting amplified. (3) Skills are the real currency of work. Packed with insights, guidance, and examples, the book should be an indispensable resource for executives, managers, board members, human resources professionals, and other business leaders. FROM MY DESK December saw the final four episodes of Series 35 of the Digital HR Leaders podcast, sponsored by our friends at HiBob . Thank you to Louis Gordon . MADELINE LAURANO - How to Buy HR Tech and Use It Effectively – Top industry analyst Madeline Laurano joins me to discuss the key themes on HR Tech in 2023, and what lies ahead in 2024 (see video below). SARAH REYNOLDS - A CMO's Approach to Mastering Pay Transparency – HiBob’s Sarah Reynolds joins me to discuss the intersection of HR and marketing, the business benefits of pay transparency and its importance for DEIB. PAULO PISANO - Booking.com’s 360-Degree View of Employee Experience – In our conversation, Paulo Pisano, Chief People Officer, outlines how Booking leverages data to enhance employee experience, streamline talent management across its international operations, and ensure that its workforce strategies are both effective and adaptable in a constantly changing business environment. HEBBA YOUSSEF - Navigating HR Tech Triumphs & Avoiding Failures – Hebba Youssef, Chief People Officer at Workweek joins me to discuss the common pitfalls of implementing HR technology and strategies for success. THANK YOU Finally, this month I’d like to thank: Abhilash Bodanapu for hosting me for lunch during my trip to Bangalore (see here) – it was wonderful to learn more about the people analytics journey bat Capgemini Raja Sengupta (see here) for such a wonderful discussion on people analytics in Bangalore. It was wonderful to finally meet in person! Geraldine Woloch-Addamine for including me in her list of Four Inspiring Voices on LinkedIn – it is humbling to be included in the same list as Amy, Adam, and Dave Teamflect for including me in their list of 18 HR Influencers to Follow Lanteria HR for including in their list of 10 favourite HR leaders of 2023 Dariush Franczak for including the November edition of the Data Driven HR Monthly in his list of HR resources Thinkers360 for including the Digital HR Leaders podcast in their comprehensive list of 125 Podcasts from Thinkers360 Thought Leaders CollectiveHR for including the Digital HR Leaders podcast with Nick Dalton in one of their Content of the Week collections The prolific Esther Abraas for including the Digital HR Leaders podcast episode with Laura Wright Shubert in her collection of resources on strategic workforce planning ___________________________________________________________________ ABOUT THE AUTHOR David Green ?? is a globally respected author, speaker, conference chair, and executive consultant on people analytics, data-driven HR and the future of work. As Managing Partner and Executive Director at Insight222, he has overall responsibility for the delivery of the Insight222 People Analytics Program, which supports the advancement of people analytics in over 90 global organisations. Prior to co-founding Insight222, David accumulated over 20 years experience in the human resources and people analytics fields, including as Global Director of People Analytics Solutions at IBM. As such, David has extensive experience in helping organisations increase value, impact and focus from the wise and ethical use of people analytics. David also hosts the Digital HR Leaders Podcast and is an instructor for Insight222's myHRfuture Academy. His book, co-authored with Jonathan Ferrar, Excellence in People Analytics: How to use Workforce Data to Create Business Value was published in the summer of 2021.
    HR Technology
    2023年12月24日
    • 12
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