Reputation system has been an important component of improving online markets’ efficiency by reducing uncertainty about the quality of the sellers. Most, if not all, reputation systems examined in the extant literature reflect the sellers’ long-term accumulative reputation, which has several...

An increasing number of companies are launching corporate online communities to facilitate knowledge sharing among employees. Although the online environment erases spatial distance and deemphasizes differences in employees’ organizational attributes (e.g., work location and job function), we...

Firms and organizations are increasingly using real-time performance feedback mechanisms to evaluate employees, where any employee (rather than just the supervisor) can rate other employees. Hence, a need arises to better understand how network positions of employees in such a system impact...

Digital platforms commonly use monetary incentives to motivate users to perform specific tasks. Extant studies have shown the effects of introducing rewards on the outcomes of interest, such as participation and performance. However, little is known about the impact of canceling rewards and...

Most cryptocurrencies are blockchain-enabled payment platforms that use a peer-to-peer network to process transactions without any trusted intermediaries. As cryptocurrencies gain popularity, these blockchain platforms face many limitations on scalability and efficiency. To address these...

Voluntary knowledge contribution on online platforms is significant for users, platforms, and firms. The rapid advancements in generative Artificial Intelligence (AI) techniques have enabled the automatic generation of knowledge on question and answer (Q&A) platforms. However, the impact of...

As one of the most important financial innovations in the last two decades, credit default swap (CDS) contracts have been initiated and actively traded in the market to hedge against credit risks. However, little is known about how these financial innovations affect an underlying firm’s...

We present Causal ABM, a methodology to derive causal structures describing complex underlying behavioral phenomena. Agent-based models (ABMs) have powerful advantages for causal modeling that have not been explored sufficiently. Unlike traditional causal estimation approaches which often result...

Modern companies are beginning to see merit in real-time peer-based performance appraisal as its ability to capture continuous dialogue interactions and real-time feedback within the employee network becomes relevant in the context of current and innovative corporate performance management...