SEO Publications
- Social media influencers (SMIs) endeavor to attract, retain, and, more importantly, influence large audiences through creating videos on streaming video platforms (SVPs). Facing diverse audiences and intense competition, SMIs who differ in their
- Problem definition: Charities face tension when deciding whether to earmark donations, that is, allow donors to restrict the use of their donations for a specific purpose. Research shows that earmarking decreases operational performance because it
- A growing stream of research conducted in developed economies has shown that trademarks are positively related to firms' market value. However, we have limited understanding of whether this finding might apply to emerging economies, many of which
- We develop three sets of theoretical boundary conditions for the firm-specific advantages (FSA) and country-specific advantages (CSA) view of intellectual property rights (IPR) in international business. These conditions explain when and where MNEs
- We examine the linkages between firms' M&A activity and the information exchange between executives and analysts during quarterly earnings calls. Prior M&A research has mostly focused on the considerations presented by information asymmetry
- Dynamic stochastic matching problems arise in a variety of recent applications, ranging from ridesharing and online video games to kidney exchange. Such problems are naturally formulated as Markov decision processes (MDPs) that are, however,
- Problem definition: Assortment selection is one of the most important decisions faced by retailers. Most existing papers in the literature assume that customers select at most one item out of the offered assortment. Although this is valid in some
- Problem definition: Last-mile delivery is a critical component of logistics networks, accounting for approximately 30%–35% of costs. As delivery volumes have increased, truck route times have become unsustainably long. To address this issue, many
- Zhang, H., Chao, X., & Shi, C. (2020). Closing the gap: A learning algorithm for lost-sales inventory systems with lead times. Management Science, 66(5), 1962-1980. https://doi.org/10.1287/mnsc.2019.3288
- Mejia, J., Urrea, G., & Pedraza‐Martinez, A. J. (2019).