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.     

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.     

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.     

A CUSUM SCHEME BASED ON THE EXPONENTIAL DISTRIBUTION FOR SURVEDLLANCE OF RARE CONGENITAL MALFORMATIONS

A method of monitoring the incidence of malformations is described. It is suitable for systems where the number of births between successive malformations is known or can be estimated with reasonable accuracy. The method utilises a cusum technique based on the exponential distribution to detect an increase in the incidence of malformations above a baseline level. Adequate information to enable the implementation of the method is presented. The proposed method compares favourably with others such as the Poisson cusum and the modified sets technique.     

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.     

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.     

An objective Bayesian analysis of the two-parameter half-logistic distribution based on progressively type-II censored samples

This paper develops an objective Bayesian analysis method for estimating unknown parameters of the half-logistic distribution when a sample is available from the progressively Type-II censoring scheme. Noninformative priors such as Jeffreys and reference priors are derived. In addition, derived priors are checked to determine whether they satisfy probability-matching criteria. The Metropolis–Hasting algorithm is applied to generate Markov chain Monte Carlo samples from these posterior density functions because marginal posterior density functions of each parameter cannot be expressed in an explicit form. Monte Carlo simulations are conducted to investigate frequentist properties of estimated models under noninformative priors. For illustration purposes, a real data set is presented, and the quality of models under noninformative priors is evaluated through posterior predictive checking.