Identifying Fraud in Online Auctions: A Case Study

According to the FBI (IC3, 2011), losses as a result of auto‐auction fraud exceeded $8.2 million dollars in 2011. How can one detect deception in online auction transactions? The authors use a comprehensive case to teach students about deception detection processes, detection cues, and the e‐commerce environment. Students are challenged to make a professional judgment about whether the transaction under consideration is an attempt to deceive. The case is based on a real‐life situation and provides a valuable exercise for business students, educating them in the reality of online auction markets and developing their critical thinking skills. The case may be used with undergraduate accounting majors in Accounting Information Systems classes and with graduate students in an e‐commerce course either as an in‐class assignment or as a term project. Students provided favorable responses as to the value of the case.     

Why gender and ‘difference’ matters: a critical appraisal of industrial relations research

Through a critical rereading of key UK workplace case studies this article explores why gender analysis matters to studies of people at work. We argue that the field of industrial relations could benefit from a greater engagement with feminist‐influenced methodologies. In particular, we analyse three methodological approaches that can assist in understanding the lives of workers; a framework that recognises intersectionality; an account that accommodates both material and cultural explanations; and a research process that is reflexive and recognises positionality. These are identified as intrinsic to a gender‐sensitive analysis, and through a comparison of key texts it is possible to highlight why their absence leads to much research in this field remaining ‘gender blind’.     

Implications of nurse-physician relations: report of a successful intervention

Given the evidence linking medical errors to ineffective communication, strategies for improving communication among health care professionals must be implemented. The purpose of this article was to examine the effect of a collaborative intervention on improving communication patterns between nurses and physicians on two study units. The intervention consisted of two nurses and two physicians (per unit) meeting together (8 hours total) to collaboratively develop a solution to communication issues on their respective units. Physicians scored significantly higher on reports of openness of communication within groups, openness between groups, accuracy between groups, and collaboration between groups. Collaboration reported among nurses and physicians improved for both professions, with significance reached for physicians (p = 0.031). Strategies must be identified to break down the barriers set by the current culture, and that expedite the development of a team-centered culture supporting collaborative relations among health care professionals.     

State mandated benefits and the small firm's decision to offer insurance

In the last decade, the number of Americans without health insurance has grown, partly due to an erosion in employer-based coverage among workers. This paper examines the extent to which state-mandated benefit requirements and other state insurance regulations discourage small firms in the private sector from providing health benefits. Using data on 1320 firms observed in 1985 and 492 firms observed in 1988, we estimate two models of small firms' decisions to offer health insurance (one for each data set), and then use them to assess the effects that mandates had on purchasing decisions in both years. We estimate that 19 percent of noncoverage among sample businesses in 1985 and 43 percent of noncoverage in the 1988 sample was attributable to state-mandated benefits. State continuation-of-coverage requirements were particularly burdensome for firms. With continued growth in the number of state mandated benefit requirements, we should expect a steady rise in the small firm's propensity to forgo insurance coverage.     

A Proportional Hazards Model of Commercial Mortgage Default with Originator Bias

A proportional hazards model with competing risks is specified and is extended to correct for the possibility of originator bias. The model is used to examine the ability of option-theoretic models of mortgage pricing to forecast commercial mortgage defaults. Among the findings, those especially of interest include the influence of contemporaneous loan-to-value and debt-service-coverage ratios on commercial mortgage default probabilities. The paper also finds that option-theoretic models of mortgage pricing are quite capable of producing default estimates that fit the actual default rates well, especially when the model is corrected for originator bias.