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The purpose of this study was to examine the relationship between general market demands and consumption levels of professional sport consumers. This study was accomplished through: (a) validating the theoretical constructs of general market demand variables by conducting a confirmatory factor analysis, (b) examining the predictability of general market demand factors to consumption levels of live and televised sporting events, and (c) investigating the relationships between sociodemographic and general market demand factors. Five hundred and twenty-five residents of a major southern US city were interviewed using a questionnaire that included eight sociodemographic variables, 12 market demand variables under three factors (Game Attractiveness, Economic Consideration, and Marketing Promotion), and 10 professional sporting event consumption variables. The factor structure of the general market demand variables was confirmed. Regression analyses revealed that market demand factors were positively (p < .05) predictive of professional sport consumption. Sociodemographic variables were significantly (p < .05) related to the market demand factors. The findings imply that professional sport teams should highlight the market demand variables and adopt differential marketing procedures for various sociodemographic segments in their marketing practice.

Constructing and evaluating behavioral science models is a complex process. Decisions must be made about which variables to include, which variables are related to each other, the functional forms of the relationships, and so on. The last 10 years have seen a substantial extension of the range of statistical tools available for use in the construction process. The progress in tool development has been accompanied by the publication of handbooks that introduce the methods in general terms (Arminger et al., 1995; Tinsley & Brown, 2000a). Each chapter in these handbooks cites a wide range of books and articles on specific analysis topics.

In this study, we use the well-researched and validated Big Five model of personality traits to examine accounting students’ career interests in auditing. Using the person-job fit literature as a springboard for our study, we investigate the influence of accounting students’ personality traits on their career interests in auditing using a research survey. We uncover a general “trait gap” (i.e., lack of fit) between accounting students’ own personality traits and their perceptions of the ideal auditor, which presents implications for workplace readiness. Additionally, analysis focusing on students who particularly want to work in auditing indicates that those with more auditing work experience are more likely to identify auditing as their preferred job. Furthermore, results indicate that accounting students higher on openness to experience tend to view auditing jobs as more desirable. Finally, accounting students who prefer the auditing career path perceive the ideal auditor as extroverted, agreeable, and open to experience. We extend prior findings in the accounting education literature surrounding personality traits and their impact on student career choices. Because advising students for a career path suiting their traits and talents is important for each student and the accounting profession, our study’s insights into the “matching process” add value to career advising.

This report highlights the current understanding of personality disorders with specific emphasis on service provision in the context of recent policies and guidelines issued by the Department of Health. It gives an overview of the wide range of perspectives of various stakeholders. It explores the key aspects of collaboration and the implications of a collaborative approach to delivering services for people with personality disorders. It also makes recommendations for implementation and identifies the organisations involved in the process of collaboration.

This study examines the issue of whether audit quality contracted by issuers at the time of going public is associated with post‐IPO survival. Survival analysis methodology is applied to estimate the probability of post‐IPO time to failure as a function of audit quality. Through estimation of the Cox‐Proportional Hazards models, we find that audit quality is significantly related to post‐IPO time to failure both in isolation and in the presence of other covariates that influence firm survival. Further, the association between audit quality and post‐IPO survival is stronger when investment bank prestige is low.

The history of automation in the libraries of the University of Michigan is outlined and a detailed study is presented of the strategic planning and implementation of the MIRLYN integrated library system. Emphasis is also placed on the evolution of new management structures in the Library to deal successfully with, and driven by, the new system.

The objective of this chapter is to provide strategy researchers with a general resource for applying structural equation modeling (SEM) in their research. This objective is important for strategy researchers because of their increased use of SEM, the availability of advanced SEM approaches relevant for their substantive interests, and the fact that important technical work on SEM techniques often appear in outlets that may not be not readily accessible. This chapter begins with a presentation of the basics of SEM techniques, followed by a review of recent applications of SEM in strategic management research. We next provide an overview of five types of advanced applications of structural equation modeling and describe how they can be applied to strategic management topics. In a fourth section we discuss technical developments related to model evaluation, mediation, and data requirements. Finally, a summary of recommendations for strategic management researchers using SEM is also provided.

This study explores the role of procedural and distributive justice in influencing supervisory trust, job satisfaction, and organizational commitment. Past work in U.S. settings has shown the differential effects of procedural and distributive justice on job attitudes while other work supports the relationship between both procedural and distributive justice with trust. This study attempts to replicate the US findings and extend them to samples from India, Germany, and China (Hong Kong). A theoretical model was tested via structural equation analysis. Organizational justice was found to be an important predictor of trust in all the samples, indicating the importance of these concepts in organizational life in different cultures. The implications of these results for future research are discussed.