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Applications of the confirmatory factor analysis block-diagonal model to published data on 18 multitrait-multimethod matrices were reviewed to show widespread estimation problems. Possible causes of estimation difficulties were explored using computer simulations. These problems make the block-diagonal approach less useful than has generally been thought. (SLD)

This study represents a secondary analysis of existing data that were used in Spector and Jex's (1991) paper. The self-report and rater-report job-stress data were identical to those used in the study by Spector and Jex (1991). To gain a greater insight into the connections between the objective work environment and employees' job strains, this study added the job-stress data from a newly developed objective data source--the Occupational Information Network (O*NET) database. We found that an O*NET stressor was related to physical and behavioural strains. There is something in the objective environment that plays a role in employees' physical well-being and behaviour. Objectively measured stressors, however, were unrelated to psychological strains. Explanations were given to the lack of the relationship. Based on these findings, we suspect that there may be somewhat different factors at work for each type of strain., The study of occupational stress has become one of the major areas of organizational research. The majority of research in the area utilizes single-source, incumbent reports that limit conclusions about [...]

During the 1980s personality enjoyed a resurgence of interest among researchers in the organizational domain after a decade or two of relative neglect. Recent research and theory can be found [...]

Based on findings from the domain of organizational frustration, the conceptual similarity between stress and frustration, and the functional similarity between frustrated events and work stressors, the relationships of behaviours [...]

Since 2009, over 176 million patients in the United States have been adversely impacted by data breaches affecting Health Insurance Portability and Accountability Act–covered institutions. While the popular press often attributes data breaches to external hackers, most breaches are the result of employee carelessness and/or failure to comply with information security policies and procedures. To change employee behavior, we borrow from the organizational climate literature and introduce the Information Security Climate Index, developed and validated using two pilot samples. In this study, four categories of healthcare professionals (certified nursing assistants, dentists, pharmacists, and physician assistants) were surveyed. Likert-type items were used to assess the Information Security Climate Index, information security motivation, and information security behaviors. Study results indicated that the Information Security Climate Index was related to better employee information security motivation and information security behaviors. In addition, there were observed differences between occupational groups with pharmacists reporting a more favorable climate and behaviors than physician assistants. [ABSTRACT FROM AUTHOR]

We extend attribution and stakeholder theory in the context of crisis reputation management by examining differences in stakeholder perceptions in the form of organization-related blame. We presented eight stakeholder groups with factual information surrounding the Deepwater Horizon Oil Spill and asked them to indicate the extent to which they blamed the leaders and organizations associated with the event. Stakeholders also completed a survey assessing their attribution styles. Results indicated that perceptions of blame were affected by the interaction of stakeholder role (i.e., active vs. passive) with attribution style (i.e., optimistic vs. pessimistic). Our results suggest that organizational leaders' understanding of their stakeholders may be an important aspect in managing stakeholders' sensemaking during crises. [ABSTRACT FROM AUTHOR]

A widespread methodological concern in the organizational literature is the possibility that observed results are due to the influence of common-method variance or mono-method bias. This concern is based on a conception of method variance as being produced by the nature of the method itself, and therefore, variables assessed with the same method would share common-method variance that inflates observed correlations. In this paper, we argue for a more complex view of method variance that consists of multiple sources that affect each measured variable in a potentially unique way. Shared sources among measures (common-method variance) act to inflate correlations, whereas unshared sources (uncommon-method variance) act to attenuate correlations. Two empirical examples, one from a simulation study and the other from a single-source survey, are presented to illustrate the complex action of multiple sources of method variance. A five-step approach is suggested whereby a theory of the measure is generated for each measured variable that would inform strategies to control for method variance by assessing and modeling the actions of identified method variance sources. [ABSTRACT FROM AUTHOR]