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Research has rarely studied how innovators conduct knowledge search in response to an increased risk that their original ideas may be imitated (i.e., duplicative imitation threat). We address this gap by focusing on a duplicative imitation threat

In large and complex human groups, social rules reduce individuals' uncertainty about their own choice set, including through these rules' simultaneous influence on the choice set of other individuals. But uncertainty varies as to the extent to

Admission decisions for loss systems accessed by multiple customer classes are a classical queueing control problem with a wide variety of applications. When a server is available, the decision is whether to admit an arriving customer and collect a

Chatbots offer customers access to personalised services and reduce costs for organisations. While some customers initially resisted interacting with chatbots, the COVID‐19 outbreak caused them to reconsider. Motivated by this observation, we

We draw on (Merton, The Journal of Finance 42:483-510, 1987) to develop predictions for the benefits of voluntary disclosures by firms pursuing an initial public offering (IPO) prior to when they begin providing regulated financial information via

Little is known about the motivations and outcomes of sellers in remunerated markets for human materials. We exploit dramatic growth in the U.S. blood plasma industry to shed light on the sellers of plasma. Sellers tend to be young and liquidity-

Using a novel data set of over 3,500 public and private firms, we construct the network of executive and director connections prior to the 1929 financial market crash. We find that more connected firms have 17% higher 10-year survival rates.

Microlabor markets engage workers in temporary employment contracts to complete short-duration tasks for micropayments. Because microlabor platforms often preclude worker interaction, independent microtasking communities have emerged to allow

We draw on job demands‐resources theory to develop and test a model that explores the direct and indirect (through relational energy) impact of inclusive leadership on workplace avoidance behaviors for neurodivergent employees. We also examine the

Efficient Learning Algorithms for the Best Capped Base-Stock Policy in Lost Sales Inventory Systems Periodic review, lost sales inventory systems with lead times are notoriously challenging to optimize. Recently, the capped base-stock policy, which