Are divestitures really just the “flip side” of acquisitions? Both divestiture and acquisition are important processes for firm scope change. Frequently, these processes are considered to be “two sides of the same coin” wherein a divestiture is simply an acquisition performed “in reverse.” In contrast to this perspective, the authors submit that these two corporate strategic processes have fundamental differences in their motivations, implementation, and ramifications.

Heuristics play an important role in organizational decision-making. Although management and organizational scholars have contributed significantly to our understanding of heuristics in organizations over the past seven decades, the literature has become fragmented over time. Three parallel streams of research—(1) heuristics and biases, (2) fast-and-frugal heuristics, and (3) simple rule heuristics—have emerged with somewhat conflicting views on the origins, use, and implications of heuristics.

This study builds on the knowledge spillover theory of entrepreneurship to examine the factors that influence the decision of latent entrepreneurs to move from opportunity recognition to opportunity exploitation and emergent entrepreneurship.

While activist short sellers can play a crucial role in fraud detection, they have come under scrutiny following accusations of systematically disseminating false negative information. We predict that the act of disclosure combined with pre-disclosure stock lending dynamics is informative about the quality of an activist’s private information. We find that increased pre-disclosure shorting intensity is associated with more negative post-disclosure returns, adverse media coverage, and consequential campaign outcomes, including auditor turnover, accounting restatements, class-action lawsuits, and performance-related delistings.

Formal theory and empirical research are complementary in building and advancing the body of knowledge in accounting in order to understand real-world phenomena. We offer thoughts on opportunities for empiricists and theorists to collaborate, build on each other’s work, and iterate over models and data to make progress.