Labor Utilization Effects of Labor Scheduling Flexibility Alternatives in a Tour Scheduling Environment

This study used a factorial experimental design and a new modeling methodology to investigate the impact of a number of labor scheduling flexibility alternatives and labor requirements characteristics on labor utilization within a tour scheduling environment. Break-placement flexibility and shift-length flexibility were found to be extremely effective in improving labor utilization for all labor requirement distributions used. Flexibility with respect to the number of days included in a tour schedule resulted in substantial improvement in labor utilization for all labor requirements distributions exhibiting daily and/or weekly variation. Surprisingly, virtually no improvement in labor utilization was achieved for any labor requirement distribution by the removal of requirements for consecutive days off. In addition, almost no improvement was found by allowing the shift start time to vary across the working days included in tours. High labor requirement amplitude was found to have a strong adverse effect on labor utilization while longer operational days were associated with improved labor utilization for all labor requirement distributions. We discuss the implications of these results for service operations management and provide suggestions for future research.     

The Effects of Personality Type on Choices Made in Strategic Decision Situations*

Jung's personality-theory typology is used as a framework for exploring the effects of cognitive style on the type and radicalness of choices made in strategic decision situations. Extending the work of Haley and Stumpf [23], it is proposed that individuals with different personality-type preferences exhibit cognitive styles that are associated with specific biases in the pattern of choices they make. Through participation in an interactive behavioral simulation, 407 participants confronted over one hundred ill-structured decision situations and proposed whatever actions they perceived appropriate. The results support the hypothesized relationships that individuals with different personality-type preferences (i.e., sensing-thinking, intuition-thinking, sensing-feeling, and intuition-feeling) take patterns of actions that reflect specific biases (i.e., selective perception, positivity, social desirability, and reasoning-by-analogy, respectively). The implications of these findings for evaluating the likely effectiveness of strategic decisions and making senior-level staffing decisions are discussed.     

学区在教育变革中的作用

美国和加拿大对于学区在教育变革中的作用研究已有近40年的历史.关于学区在教育变革中的作用研究可划分为几个具有不同特点的时期,包括创新实施时期、高效学校范式时期、学校重构时期和基于标准的变革时期.综述列举了不同研究时期最重要的一些研究,并讨论了它们的研究特点和成果.在关于成功学区的案例研究的基础上,着重分析了学区在系统改进学生学习的过程中所面临的挑战、学区改进学生学习所采取的策略以及学区影响教学和学习质量的证据.同时,总结并讨论了12条促进学生学习的学区策略,提供了5个关于学区在教育变革中的作用的研究方向.     

Leader individual differences,situational parameters,and leadership outcomes: A comprehensive review and integration

In this article, we provide a wide-ranging review of recent research on leader individual differences. The review focuses specifically on the explosion of such research in the last decade. The first purpose of this review is to summarize and integrate various conceptual frameworks describing how leader attributes influence leader emergence and leader effectiveness. The second purpose is to provide a comprehensive review of empirical research on this relationship. Also, most prior reviews primarily examined leader personality traits; this review includes a broader array of leader attributes, including cognitive capacities, personality, motives and values, social skills, and knowledge and expertise. The final broad purpose of this paper is to review and integrate situational and contextual parameters into our conceptual framing of leader individual differences. Few, if any, prior reviews have systematically accounted for the critical role of such parameters in cuing, activating, or delimiting the effects of particular leader attributes. We do so in this article.     

Almost Like a Real Band: Navigating a Gendered Jazz Art World

Professional jazz has been organized around two contradictory cultures. Historically, the jazz art world has followed norms of meritocracy, which promote equality across boundaries of race and class. At the same time a culture of exclusivity, anchored in gendered essentialism, has severely limited female participation. By analyzing interview data with artists from the Hamilton College Jazz Archive, we illustrate how these contradictory cultures of inclusion and exclusion operate to channel women into feminized roles in the jazz world. We then discuss how women employ a number of strategies to work around the culture of exclusivity and capitalize on the norms and values of musical meritocracy. Despite institutional openings in professional jazz that emerged following the women’s movement, female jazz artists continue to face strong barriers toward full equality in the jazz world. Although female artists consistently demonstrate that they possess equal musical skills to male musicians according to the norms of meritocracy that guide professional jazz, women remain on the margins of the jazz art world.     

Integrated methodology for multiple systems estimation and record linkage using a missing data formulation

There are now three essentially separate literatures on the topics of multiple systems estimation, record linkage, and missing data. But in practice the three are intimately intertwined. For example, record linkage involving multiple data sources for human populations is often carried out with the expressed goal of developing a merged database for multiple system estimation (MSE). Similarly, one way to view both the record linkage and MSE problems is as ones involving the estimation of missing data. This presentation highlights the technical nature of these interrelationships and provides a preliminary effort at their integration.     

Consultants' forum: should post hoc sample size calculations be done?

Pre‐study sample size calculations for clinical trial research protocols are now mandatory. When an investigator is designing a study to compare the outcomes of an intervention, an essential step is the calculation of sample sizes that will allow a reasonable chance (power) of detecting a pre‐determined difference (effect size) in the outcome variable, at a given level of statistical significance. Frequently studies will recruit fewer patients than the initial pre‐study sample size calculation suggested. Investigators are faced with the fact that their study may be inadequately powered to detect the pre‐specified treatment effect and the statistical analysis of the collected outcome data may or may not report a statistically significant result. If the data produces a “non‐statistically significant result” then investigators are frequently tempted to ask the question “Given the actual final study size, what is the power of the study, now, to detect a treatment effect or difference?” The aim of this article is to debate whether or not it is desirable to answer this question and to undertake a power calculation, after the data have been collected and analysed. Copyright © 2008 John Wiley & Sons, Ltd.