Self-Efficacy Toward Service, Civic Participation and the Business Student: Scale Development and Validation

This paper presents the development andvalidation of new measurement tools to exploreself-efficacy toward service and toward civicparticipation. We developed and administereda survey to 851 students in an AACSB-accreditedcollege of business at a comprehensive publicuniversity located in the Midwest. Traditionalscale development methodologies plusconfirmatory factor analysis and simultaneousfactor analysis in several populations wereused to analyze both a primary sample and aholdback sample. Results strongly support thevalidity and reliability of the surveyinstrument. Future use for the instrumentincludes verification of the effectiveness ofpedagogies designed to increase self-efficacytoward service and motivation for civicparticipation in business students.     

Spatial Interaction,Spatial Multipliers and Hospital Competition

The hospital competition literature shows that estimates of the effect of local market structure (concentration) on pricing (competition) are sensitive to geographic market definition. Our spatial lag model approach effects smoothing of the explanatory variables across the discrete market boundaries, resulting in robust estimates of the impact of market structure on hospital pricing, which can be used to estimate the full effect of changes in prices inclusive of spillovers that cascade through the neighboring hospital markets. The full amount, generated by the spatial multiplier effect, is a robust estimate of the impacts of market factors on hospital competition. We contrast ordinary least squares and spatial lag estimates to demonstrate the importance of robust estimation in analysis of hospital market competition. In markets where concentration is relatively high before a proposed merger, we demonstrate that Ordinary Least Squares (OLS) can lead to the wrong policy conclusion while the more conservative lag estimates do not.     

The Applicability of a Contingent Factors Model to Accounting Ethics Research

This paper discusses the relevancy of a contingent factors model posited by Jones for conducting accounting ethics research. Using a sample of 37 experienced Australian auditing managers and partners of all of the ‘Big Four’ multinational accounting firms, we find that the contextual model developed by Jones can help guide accounting ethics research by isolating the contingent factors that affect ethical decision making. Moreover, we examine how the factors differ across different accounting settings. Implications for accounting ethics research and accounting practice are then discussed.Jeffrey R. Cohen, PhD is an Associate Professor at the Carroll School of management at Boston College. His research focuses primarily on behavioral ethics issues as well as investigating governance from a behavioral perspective.Nonna Martinov Bennie is a Senior Lecturer at Sydney University. Her research focuses on ethical issues in auditing as well as issues surrounding materiality judgments.     

FARMERS’ WILLINGNESS TO COOPERATE IN ECOSYSTEM SERVICE PROVISION: DOES TRUST MATTER?

Ecosystem service provision in agriculture may require cooperation between farmers. Trust fosters cooperation in many economic and social interactions and is important to the success of traditional agricultural cooperatives. Little is known about how trust affects farmers’ willingness to cooperate to provide an ecosystem service, what types of trust are most important, and under what conditions trust may matter. In this study, we present results of a survey of Missouri crop farmers exploring the role trust plays in farmers’ stated willingness to cooperate to control pests. We find that most farmers say they are willing to cooperate, and most farmers are willing to trust others. However, we find little evidence that trust positively influences farmers’ willingness to cooperate to control pests. Instead, we find that trust may only matter under certain conditions, such as when participants’ farms are dissimilar, and that other determinants, such as the perceived benefit of cooperation and environmental concern, are more important than trust to farmers who are contemplating cooperation to control pests.     

Empirical Bayes analysis of log-linear models for a generalized finite stationary Markov chain

This article presents the empirical Bayes method for estimation of the transition probabilities of a generalized finite stationary Markov chain whose ith state is a multi-way contingency table. We use a log-linear model to describe the relationship between factors in each state. The prior knowledge about the main effects and interactions will be described by a conjugate prior. Following the Bayesian paradigm, the Bayes and empirical Bayes estimators relative to various loss functions are obtained. These procedures are illustrated by a real example. Finally, asymptotic normality of the empirical Bayes estimators are established.