THE ROLE OF AFFECTIVE EXPERIENCE IN WORK MOTIVATION

Based on psychological and neurobiological theories of core affective experience, we identify a set of direct and indirect paths through which affective feelings at work affect three dimensions of behavioral outcomes: direction, intensity, and persistence. First, affective experience may influence these behavioral outcomes indirectly by affecting goal level and goal commitment, as well as three key judgment components of work motivation: expectancy judgments, utility judgments, and progress judgments. Second, affective experience may also affect these behavioral outcomes directly. We discuss implications of our model.     

The mediating effect of organizational commitment and employee empowerment: how transformational leadership impacts employee knowledge sharing intention

This study examined the underlying process through which transformational leaders provide an influence on employees’ knowledge sharing intention by concentrating on mediating roles of psychological empowerment and employees’ commitment to organizations. The direct and indirect impacts of transformational leadership on knowledge sharing were explored. In order to test the proposed hypotheses, structural equation modelling analysis was conducted with a sample of 426 full-time employees in South Korea. The results of this study showed a significant direct effect of transformational leadership on psychological empowerment and organizational commitment, which in turn had a significant influence on employees’ knowledge sharing intention. Transformational leadership had only an indirect effect on knowledge sharing intention among employees. These results bring out the importance of mediating roles of employee’s attitudes, especially organizational commitment, for promoting knowledge sharing intention among employees.     

Rothschild and Stiglitz’s mean preserving: revisited

Lemma 1 in the classic paper by Rothschild and Stiglitz (J Econom Theory 2:225–243, 1970) is incorrect. We use the concept of “single” mean preserving spread to provide a version of this critical lemma. It is shown that this modified lemma can in fact be used to prove Rothschild and Stiglitz’s principal result.     

Power-divergence-type measure of departure from symmetry for square contingency tables that have nominal categories

For square contingency tables that have nominal categories, Tomizawa considered two kinds of measure to represent the degree of departure from symmetry. This paper proposes a generalization of those measures. The proposed measure is expressed by using the average of the power divergence of Cressie and Read, or the average of the diversity index of Patil and Taillie. Special cases of the proposed measure include Tomizawa's measures. The proposed measure would be useful for comparing the degree of departure from symmetry in several tables.     

Global activism and new media: A study of transnational NGOs’ online public relations

This study examines how transnational nongovernmental organizations make use of new media tools in their public relation activities and what factors influence their online public relations. A survey of communication representatives at 75 transnational NGOs based in the United States found that promoting the organization's image and fund-raising were the two most important functions of new media for the NGOs. Organizational capacity and main objective of the organization were significant predictors of NGOs’ new media use in their public relations. However, organizational efficiency and revenue did not significantly predict NGOs’ use of new media.     

Testing for Regime Switching

We analyze use of a quasi‐likelihood ratio statistic for a mixture model to test the null hypothesis of one regime versus the alternative of two regimes in a Markov regime‐switching context. This test exploits mixture properties implied by the regime‐switching process, but ignores certain implied serial correlation properties. When formulated in the natural way, the setting is nonstandard, involving nuisance parameters on the boundary of the parameter space, nuisance parameters identified only under the alternative, or approximations using derivatives higher than second order. We exploit recent advances by Andrews (2001) and contribute to the literature by extending the scope of mixture models, obtaining asymptotic null distributions different from those in the literature. We further provide critical values for popular models or bounds for tail probabilities that are useful in constructing conservative critical values for regime‐switching tests. We compare the size and power of our statistics to other useful tests for regime switching via Monte Carlo methods and find relatively good performance. We apply our methods to reexamine the classic cartel study of Porter (1983) and reaffirm Porter's findings.     

Relations between physical activity and behavioral and perceptual correlates among midwestern college students

OBJECTIVE: Given the inconsistent findings in the literature, the authors' purpose in this study was to examine the associations between physical activity and behavioral and perceptional correlates, such as binge drinking, cigarette smoking, fruit or vegetable consumption, and weight perceptions, among midwestern college students. PARTICIPANTS AND METHODS: The authors invited a convenience sample of 1,200 undergraduate college students enrolled in the 2004-2005 academic year in 4 different midwestern universities to participate in a survey. Of the 1,163 students who participated in the survey, a total of 1,134 usable surveys were received (response rate of 94.5%). RESULTS: Hierarchical multiple logistic regression analyses indicated that smoking, perceived weight, and consumption of fruit were independent predictors of physical activity when controlling for other variables. CONCLUSIONS: Physical activity promotion requires tailored approaches that are dependent on the target segment of the college student populations.     

Robust Confidence Regions for Incomplete Models

Call an economic model incomplete if it does not generate a probabilistic prediction even given knowledge of all parameter values. We propose a method of inference about unknown parameters for such models that is robust to heterogeneity and dependence of unknown form. The key is a Central Limit Theorem for belief functions; robust confidence regions are then constructed in a fashion paralleling the classical approach. Monte Carlo simulations support tractability of the method and demonstrate its enhanced robustness relative to existing methods.