The emerging theory-based view depicts entrepreneurs as sophisticated thinkers who form, update, and act on rich causal theories. In support of this view, recent empirical work has demonstrated both (a) the value of theories as well as (b) the importance of experimentation for testing and refining theories. Yet, the process by which entrepreneurs initially form these theories remains largely unobserved.

Application Programming Interface (APIs) have increasingly become crucial to digital ecosystems, facilitating interconnectivity and data exchange essential for digital transformation and open innovation in today's business landscape. In this article, we introduce a perspective on how APIs can be viewed as a means of achieving a dynamic equilibrium between centralization and decentralization for value creation in business ecosystems.

The rapid adoption of remote work led to a sharply reduced presence of office workers in urban centers, weakening cities' traditional role as a center for production. Despite the adverse effect of remote work on cities, we highlight that cities' role as a center for consumption remains strong and may have risen with increased time flexibility from workers.

A fundamental issue faced by operations management researcher relates to striking the right balance between rigor and relevance in their work. Another important aspect of operations management research relates to influencing and positively impacting businesses and society at large. We constantly struggle to achieve these objectives.

As deep learning and big data increasingly shape modern artificial intelligence (AI) tools, it is essential to consider the broader impact of integrating AI into workplaces. While AI applications can optimize processes and improve productivity, their long-term effects on workers’ learning curves and overall performance are still underexplored. This paper investigates the intricate relationship between AI-enabled technology and workers’ learning dynamics through a large-scale randomized field experiment conducted on the Instacart platform.

We reassess whether and to what degree the hiring, development, and promotion decisions of S&P 500® companies have led to misrepresentation of and bias against their minority executives. Instead of the US population benchmark that has conventionally been used to measure misrepresentation, and from such misrepresentation attribute the presence and magnitude of racial bias and discrimination, we measure misrepresentation in US executives using the benchmark of the racial/ethnic densities (RAEDs) of their college cohort peers.

We use construal level theory to investigate how the way employees construe where work occurs—defined as work context construal—influences perceptions of harm and the ethical framing of risk-mitigating behaviors. We hypothesize that high-level (abstract) work context construals (vs. low-level, concrete ones) reduce perceptions of potential harm which, in turn, leads to framing risk-mitigating behaviors as less of an ethical obligation.