Faculty Research

Search Publications

Recent Journal Publications by COB Faculty

Search Publications

Filter & Sort Results: 1212
[clear]
Publication Type Publication Type
Discipline Discipline
Author Author
Year Published Year Published

Sort by

Showing results for: ""
Results:
Academic Journal
Supply Chain

“Watt’s Next: Navigating the Surge in Electric Vehicle Adoption and its Implications for Grid Operations”

As policy decisions pave the way for more Electric Vehicles (EVs) on the road, there is expected to be a tremendous strain on the utility grid. Managing this strain requires careful planning for (and possibly control of) EV charging. This may include the utility firm managing intra-day demand variations using grid-scale batteries, and influencing the charging operations of some fraction of EVs (via active or passive managed charging program), including the possible use of Vehicle-to-Grid (V2G) technologies. A managed charging program must be carefully designed, accounting for EV users' driving patterns and range anxieties. In this paper, we take the perspective of an integrated energy system planner, who seeks to minimize generation and emissions costs arising from the electricity and transpotation sectors. Using a stylized analytical model that considers two periods per day (peak and off-peak), we derive optimal grid operations in the presence of a fraction of EV owners who sign up to a managed charging program. We characterize the optimal operating policy and show that EVs and grid-scale batteries can be substitutes or complements in the energy planner's portfolio. We demonstrate the validity of all our findings numerically using a higher fidelity 24-hour model calibrated to real data from the PJM interconnection. Our results suggest that a long-term outlook on navigating EV adoption should focus on managing more EV charging, rather than installing a lot of stationary battery capacity or promoting V2G.
Details
Academic Journal
Business Analytics

“Wavelet Methods in Interpolation of High-Frequency Spatial-Temporal Pressure”

The location-scale and whitening properties of wavelets make them more favorable for interpolating high-frequency monitoring data than Fourier-based methods. In the past, wavelets have been used to simplify the dependence structure in multiple time or spatial series, but little has been done to apply wavelets as a modeling tool in a space–time setting, or, in particular, to take advantage of the localization of wavelets to capture the local dynamic characteristics of high-frequency meteorological data. This paper analyzes minute-by-minute atmospheric pressure data from the Atmospheric Radiation Measurement program using different wavelet coefficient structures at different scales and incorporating spatial structure into the model. This approach of modeling space–time processes using wavelets produces accurate point predictions with low uncertainty estimates, and also enables interpolation of available data from sparse monitoring stations to a high density grid and production of meteorological maps on large spatial and temporal scales.
Details
Academic Journal
Management

“We Are (Not) on the Same Team: Understanding Asian Americans’ Unique Navigation of Workplace Discrimination”

Asian Americans (AsAms) carry unique group identifications that likely impact how they navigate workplace racial discrimination. Yet, extant workplace discrimination research has not thoroughly considered the implications associated with such unique group identifications, especially given the context of American society’s increasingly polarized views of AsAms as outsiders versus insiders. To gain insights into these aspects, we conducted three studies using qualitative and quantitative methods. Our qualitative interviews (Study 1) with AsAm employees during COVID-19 reveal that AsAms have internalized society’s polarization of their American and Asian group identifications and navigate their workplace discrimination accordingly. Integrating these findings with group identification research, we develop a dual-serial-mediation navigation process model, whereby AsAms with strong American group identification intend to leave their organization via blaming and then not forgiving their offenders (i.e., “suffering path”), whereas those with strong Asian group identification intend to stay in the organization via perspective taking and then forgiving their offenders (i.e., “protected path”). In a different sample of AsAms who faced workplace discrimination, we found support for our model (Study 2). Finally, we largely replicated these results in a third sample of AsAms who faced workplace discrimination and found that such navigation processes were largely unique to AsAms versus other racial-minority groups (Study 3). Theoretical and practical implications are discussed.
Details
Academic Journal
Supply Chain

“Wearing Many Hats: Supply Managers Behavioral Complexity and Its Imapct on Supplier Relations”

Applying concepts from the behavioral complexity literature (Ashby, 1952; Denison, Hooijberg, and Quinn, 1995) we examine if supply managers’ multiple roles and the ability to shift among these roles is related to their interpersonal relationship with their key contact within the strategic suppliers’ organization and ultimately with the firm-to-firm relationship. Case studies identified four supply manager roles that are assumed when managing relationships with strategic suppliers: negotiator, facilitator, supplier’s advocate, and educator. Survey data were gathered from 59 pairs of supply managers and their key contact in a strategic supplier’s organization. Results show that a larger behavioral repertoire is positively related to interpersonal relationships but higher behavioral differentiation is negatively related to interpersonal relationships. Interpersonal relationships are positively related to firm-to-firm relationships. Limitations and opportunities for future research are discussed.
Details
Academic Journal
BIS

“What Do They Know About Me In The Cloud? A Comparative Law Perspective On Protecting the Privacy and Security of Sensitive Consumer Data”

How much does the cloud know about us? Should we care? In cloud computing, sensitive personal data flows in a global network of internet connected computers, creating attractive targets for hackers, challenging law enforcement and raising concerns about government surveillance. From an information privacy perspective, this article discusses how well the management information systems practices and laws in the United States and Europe protect the privacy and security of sensitive consumer data in the cloud. It examines policies and proposed regulations and makes suggestions for legal reforms in both jurisdictions to protect the privacy and security of sensitive information.
Details
Academic Journal
Finance

“What makes circuit breakers attractive to financial markets? A survey”

After the stock market crash of October 1987, the Brady Report (1988) and several academic researchers suggested the imposition of "circuit breakers" to prevent the market from fluctuating excessively. Most financial markets in the world have imposed circuit breaker systems, in the form of price limits and trading halts, in an attempt to reduce excessive market volatility. Similar to any other regulations, circuit breakers have proponents and opponents. In this survey, we analyze the benefits and costs of each type of circuit breaker, provide existing theoretical models and predictions related to each type of circuit breaker, and present findings from empirical studies to justify or disqualify the existence of circuit breakers. In addition, we synthesize existing studies and offer directions for further research in this area.
Details
Academic Journal
Finance

“What makes when-issued trading attractive to financial markets?”

When-issued trading is the trading of securities prior to the actual issue of the security. When-issued trading is active around the world and in a variety of equity and bond markets. In this survey, we provide a general description of when-issued trading, analyze benefits and costs in various financial markets, present existing theoretical models and predictions, and synthesize empirical findings. We find that when-issued trading promotes price discovery, mitigates information asymmetry, provides convenience for trading ahead of the actual issue of the security, and in some markets reduces volatility. In addition, we offer policy implications and suggest directions for further research in this area.
Details