Despite decades of initiatives to address healthcare inequities in the U.S., disparities across race, gender, geography, and income remain stubbornly persistent.

Workplace stress, on the rise for decades, has been treated by many organizations as a personal issue instead of a business-critical risk that merits executive oversight.

We propose that AI-driven wellness apps powered by large language models can foster extreme emotional attachments and dependencies akin to human relationships—posing risks like ambiguous loss and dysfunctional dependence—that challenge current regulatory frameworks and necessitate safeguards and informed interventions within these platforms.

How companies market their AI systems affects the repercussions they face when their products fail. Marketers must promote their AI products with potential failure in mind.

We study how media firms can use LLMs to generate news content that aligns with multiple objectives—making content more engaging while maintaining a preferred level of polarization/slant consistent with the firm’s editorial policy.

The use of large language models (LLMs) in consumer research is rapidly evolving, with applications including synthetic data generation, data analysis, and more.

Based on a review of relevant literature, we propose that the proliferation of AI with human-like and social features presents an unprecedented opportunity to address the underlying cognitive and affective drivers of prejudice.

Chatbots are now able to engage in sophisticated conversations with consumers in the domain of relationships, providing a potential coping solution to widescale societal loneliness.

Social movement pressures can lead organizations to concede and improve social performance to avoid disruption costs, but we theorize that such responses evoke concession costs that prompt organizations to shift resources and attention from other social domains whose performance suffers.

This research studies business alliances that seek to address climate change, offering empirical evidence to address claims advanced by alliance supporters and critics.

We investigate whether banks' adoption of data-driven technologies influences competitive dynamics in local small business lending by diminishing the information advantages traditionally held by local banks.

Following the 2008 financial crisis, the Financial Crisis Inquiry Commission (FCIC) identified major shortcomings in bank board governance, contributing to systemic risk management failures.

Using Norwegian administrative data, we identify family equity investments in startups and examine their effects on investor returns and firm behavior.

Training investments are essential for improving worker and firm productivity, yet their implementation is often hindered by low participation rates and insufficient worker engagement.

For years, online experimentation has fueled the innovations of leading tech companies, enabling them to rapidly test and refine new ideas, optimize product features, personalize user experiences, and maintain a competitive edge.

We study whether the availability of public audited financial statements influences the probability of private firms receiving private firm equity financing.

Do AI-generated narrative explanations enhance human oversight or diminish it? We investigate this question through a field experiment with 228 evaluators screening 48 early-stage innovations under three conditions: human-only, black-box AI recommendations without explanations, and narrative AI with explanatory rationales.

The literature on communities of practice demonstrates that a proven way for senior professionals to upskill themselves in the use of new technologies that undermine existing expertise is to learn from junior professionals.

Remote work has become more common, providing operational flexibility and productivity benefits, but questions remain about whether and how it affects work quality.

This paper uses novel, firm-level communication measures derived from communications metadata several months before and after a CEO transition for 102 firms to study whether and how this organizational event is reflected in employees’ communication flows.

We examine how artificial intelligence transforms the core pillars of collaboration— performance, expertise sharing, and social engagement—through a pre-registered field experiment with 776 professionals at Procter & Gamble, a global consumer packaged goods company.

We show that when firms compete via supply functions, transferring high-cost capacity to the largest, most efficient firm—thereby diversifying its production technologies while increasing concentration—can lower prices by prompting the leader to expand output and competitors to aggressively defend market shares.

Using a sample of 3083 firms from 62 countries over 18 years, we analyze how the structure and identity of firms' material owners influence their Environmental, Social, and Governance (ESG) performance.

Transaction cost economics theory explains when it is more efficient for a transaction between two parties to occur across the market or within an organization.

Governments have reformed public services by adopting private sector gover- nance models that grant top directors greater autonomy, responsibility for meeting key targets, and performance-based rewards.

This study explores public preferences for algorithmic and human decision-makers (DMs) in high-stakes contexts, how these preferences are shaped by performance metrics, and whether public evaluations of performance differ depending on the type of DM.

For as long as there has been work, there has been a “future of work,” through humans’ ingenuity and drive to get things done easier, faster, and better.

AI companion applications—designed to serve as synthetic interaction partners—have recently become capable enough to reduce loneliness, a growing public health concern.

What is a realistic and positive outcome for US-China relations in the realm of global finance over the next ten years? While some policymakers, especially in the US, have feared that China holds ambitions for the renminbi (RMB) to replace the dollar as a global reserve currency, we argue that this is far from the case.

By 2026, global corporate spending on wellness programs is set to top $94.6 billion, yet anticipated improvements in well-being are not being realized, and, in fact, mental health needs are continuing to rise around the world.

As consumers increasingly interact with AI applications specialized for social relationships, what is the nature and depth of these relationships among actual users, and can company actions influence these dynamics? We find that active users of the US-based AI companion, Replika, feel closer to their AI companion than even their best human friend, and anticipate mourning the loss of their AI companion more than any other technology.

Research involving multiple experiments found that consumers have biased views of their driving abilities relative to those of other drivers and automated vehicles.

Organizations like GE, IBM, and Procter & Gamble (P&G) have long been touted as the classic "academy companies." Academy companies produce first-rate executives who populate their own senior ranks and also go on to lead other companies.

The rapid advances in generative artificial intelligence (AI) open up attractive opportunities for creative problem-solving through human-guided AI partnerships.

Bayesian entrepreneurship starts from the premise that entrepreneurs’ beliefs guide their theorizing, experimentation, and choices (Agrawal et al., n.d.).

From Apple to Merck to Wikipedia, more and more organizations are turning to crowds for help in solving their most vexing innovation and research questions, but managers remain understandably cautious.

We present the results of a field experiment conducted at Harvard Medical School to understand the extent to which search costs affect matching among scientific collaborators.

Competitive strategy — the art of crafting and executing plans to achieve an advantageous position in the market — is integral to any business, and especially relevant for platforms because it determines their ability to achieve network effects and scale.

Celebrities have shifted from endorsing established brands to being influencers for established brands to drawing on their influence to create brands themselves.

Despite the rapidly increasing prominence of data and analytics functions, the majority of chief data officers (CDOs) fail to value and price the business outcomes created by their data and analytics capabilities.

In the coming decades, as the pace of technological change continues to increase, millions of workers may need to be not just upskilled but reskilled—a profoundly complex societal challenge that will sometimes require workers to both acquire new skills and change occupations entirely.

The Right to Explanation and the Right to be Forgotten are two important principles outlined to regulate algorithmic decision making and data usage in real-world applications.

As predictive models seep into several real-world applications, it has become critical to ensure that individuals who are negatively impacted by the outcomes of these models are provided with a means for recourse.

The public release of Large Language Models (LLMs) has sparked tremendous interest in how humans will use Artificial Intelligence (AI) to accomplish a variety of tasks.

Can accelerators pick the most promising startup ideas no matter their provenance? Using unique data from a global accelerator where judges are randomly assigned to evaluate startups headquartered across the globe, we show that judges are less likely to recommend startups headquartered outside their home region by 4 percentage points.

Like triaging our inboxes, clearing our Slack messages, or managing our to-do lists, preparing an agenda can make us feel like we’ve accomplished something.

Mid-career women are often surprised by the levels of bias and discrimination they encounter in the workplace, especially if they’ve successfully avoided it earlier in their careers.

The chief principle of antitrust law and theory is that reducing market concentration—having more, smaller firms instead of fewer, bigger ones—reduces anticompetitive behavior.

Experiments involving 20 million people generated a surprising finding: moderately weak connects — and not strong connections — are the most useful in finding a new job.

Space is becoming a potential source of value for businesses across a range of sectors, including agriculture, pharmaceuticals, consumer goods, and tourism.

We respond to calls in the strategy and international business literature for elucidating how multinational subsidiaries develop contextual intelligence in host countries and how they use the local context as a source of valuable opportunities for learning.

Why are some firms more successful in adopting profitable environmental management practices than others? A key role of corporate managers is to encourage subsidiaries to adopt innovative practices.

The authors analyzed data from multiple large-scale randomized experiments on LinkedIn’s People You May Know algorithm, which recommends new connections to LinkedIn members, to test the extent to which weak ties increased job mobility in the world’s largest professional social network.

Instead of letting the market decide the price for their primary sale offerings, many NFT projects choose to initially sell their NFTs at prices below the market-clearing level.

In this article, I review the theoretical and empirical literature on the effects of public and private equity markets on firm behavior, emphasizing the consequences that emerge from disclosure requirements, ownership concentration, and degree of firm standardization.

We assess how the sudden and widespread shift to working from home during the pandemic impacted how managers allocate time throughout their working day.

In a research study at four Fortune 500 companies, when managers were asked about their teams’ work, on average they either did not know or could not remember 60% of the work their teams do.

We study how the price of remote work is determined in a globalized labor market using data from a large web-based job platform, where workers from around the world compete for remote jobs.

As we move into the next phase of the pandemic, companies are grappling with whether and how to bring their employees back into the office after working from home extensively.

The shift to remote work ended the traditional 9–5 workday: employees work in bursts, at night, between caregiving tasks, and whenever they can find time between the endless distractions of messages, calls, and emails.

Fewer than 40% of companies that invest in AI see gains from it, usually because of one or more of these errors: (1) They don’t ask the right question, and end up directing AI to solve the wrong problem.

As an intermediary improves trust between the two sides of its market to facilitate matching and transactions, it faces an increased risk of disintermediation: with sufficient trust, the two sides may circumvent the intermediary to avoid the intermediary’s fees.

As machine learning black boxes are increasingly being deployed in critical domains such as healthcare and criminal justice, there has been a growing emphasis on developing techniques for explaining these black boxes in a post hoc manner.

What is the optimal form of firm organization during “bad times”? We present a model of delegation within the firm to show that the effect is ambiguous.

Agrowing number of companies are engaging with sustainability issues, driven by a greater aware -ness of environmental and social problems and a changing set of institutions and social expec -tations about the role of business in society.