Consumers' mood states: Antecedents and consequences of experiential versus informational strategies for brand choice

The relationship between mood (an affective state variable) and choice strategies that are primarily affective (experiential strategy) or cognitive (informational strategy) is examined with a literature review and an empirical study. Findings suggest consumers in positive moods may be more likely to use an experiential strategy than those in negative moods, and consumers in negative moods may be more likely to use an informational strategy than those in positive moods. Results also suggest consumers in positive moods who use an experiential strategy may have more positive post-processing moods than those who use an informational strategy, and consumers in negative moods who use an informational strategy may have more positive and post-processing moods than those who use an experiential strategy. The implications of these findings are discussed and suggestions for further research are provided.     

How to Spot a Careerist Early On: Psychopathy and Exchange Ideology as Predictors of Careerism

Careerism refers to an individual’s propensity to achieve their personal and career goals through nonperformance-based activities (Feldman, The Indus Org Psychol 39–44, 1985). We investigated the role of several dispositional predictors of careerism, including Five-factor model (FFM) personality traits, primary psychopathy, and exchange ideology. Based on data from 131 respondents, as expected, we observed that emotional stability was negatively correlated with careerism. Primary psychopathy and exchange ideology explained additional variance in careerism after accounting for FFM traits. Relative importance analyses indicated that psychopathy (relative weight percentage of explained variance = 42.1 %) and exchange ideology (relative weight percentage = 44.1 %) were equally important in predicting careerism. We highlight the need for future research efforts investigating the combined effects of contextual factors—particularly, human resource practices—and individual differences to understand careerism in the workplace.     

Process quality improvement: An examination of general vs. outcome-specific climate and practices in hospitals

Despite numerous efforts to foster quality improvement in healthcare, much of the extant data and research indicate that substantial shortcomings in the delivery of effective and reliable care remain. This research examines both general and outcome-specific operations management efforts and their impact on delivering quality healthcare. We empirically test a conceptual framework of safety culture that accounts for the use of general quality practices as well as outcome-specific approaches in light of the general and more focused climates in which those practices are embedded. We utilize structural equation modeling to analyze a unique pairing of primary data from a survey of quality improvement directors and chief nursing officers at 272 hospitals across the U.S. with secondary data on process of care performance publicly reported by the federal government's Center for Medicare and Medicaid Services (CMS). General safety climate and quality practices are found to establish an environment in which outcome-specific efforts enable process quality improvement. A split-group SEM analysis highlights significant differences in managing healthcare safety outcomes through climate and practices. In particular, the employment of practices focused on the specific outcome goals is found to relate to higher quality of patient care in smaller hospitals. In contrast, the development of a climate focused on specific outcome goals is found to relate to higher quality of patient care in larger hospitals. These findings suggest alternative approaches for small and large hospitals in the critical effort to improve patient safety and reduce healthcare costs.     

Focus forecasting reconsidered

Focus Forecasting is a popular heuristic methodology for production and inventory control although there has never been a rigorous test of accuracy using real time series. We compare Focus Forecasting to damped-trend, seasonal exponential smoothing using five time series of cookware demand in a production planning application. We also make comparisons using 91 time series from the M-Competition study of forecast accuracy. Exponential smoothing was more accurate in both cases.