Using Performance Measurement to Evaluate Strategic Human Resource Management Decisions: Kodak\u27s Experience With Profit Sharing

[Excerpt] Profit-sharing is frequently used to link employee performance and labor costs to the profitability of organizations. It represents a significant investment. Yet, \u27managers\u27 decisions regarding such human resource investments frequently do not use the same financial planning frameworks typical of other investments. This article presents a case study describing how one division at Eastman Kodak company used a strategic investment approach to plan and evaluate a profit-sharing program, and the role of performance measurement information in that approach

Knowing How You Feel: The Structure and Importance of Emotional Self-Knowledge

The aim of this thesis is to offer up a structure of what I call Emotional Self-Knowledge—roughly, knowledge of one’s own emotions. I begin with a broad understanding of an emotion event, according to which emotion events include a set of bodily feelings in response to some object. I then argue that knowledge of the object and the feeling of the emotion are required parts of knowing one’s own emotions if we expect emotional self-knowledge to be prudentially useful. I then outlining three levels of emotional self. The first requires knowledge of the feeling on is experiencing; the second requires that knowledge plus knowledge of the emotionally-salient object. The final level is knowledge of one’s emotional dispositions, and as such is the most robust form of emotional self-knowledge. I conclude by examining some cases in which emotional self-knowledge can be usefully applied towards an agents own prudential goals

Job and Life Attitudes of Male Executives

Despite executives\u27 important positions in organizations, their attitute have not received much research attention. In an attempt to remedy this deficiency, the present study tested a hypothesized model of executive attitudes involving job satisfaction, life satisfaction, job stress, and work-family conflict. Using data gathered from a large, representative sample of male executives (due to the small number of female executives in the study, the analyses were confined to males only), LISREL results indicated support for the overall model and the specific relationships within the model. These results are the first to simultaneously consider job and life satisfaction, job stress, and work-family conflict, and also constitute the most comprehensive evidence to date on executive attitudes. The meaning and contributions of the findings are discussed

Personality and Cognitive Ability as Predictors of Job Search and Separation Among Employed Managers

Traditional models and research on employee job search and separation focus on situationally-specific variables, those that change with time or between particular employment situations. More enduring individual characteristics, such as personality and cognitive ability, may create predispositions that affect search and separation in consistent ways across different situations. The research reported here extends traditional turnover models by incorporating two enduring individual characteristics – personality and cognitive ability – into the search and separation process. This extended model is then tested on a sample of executives. Cognitive ability as well as the personality dimensions of agreeableness, neuroticism and openness to experience related positively to job search. The effects of cognitive ability and the personality dimensions of agreeableness and openness to experience on job search were partially mediated by the array of situational factors, while the effect of neuroticism on job search was fully mediated. The relationship between extraversion and job search became significant in the presence of situational factors, suggesting a suppressor effect. With regard to separation, a similar suppressor effect was found for extraversion. Implications for future research and practice are discussed

An Empirical Investigation of the Predictors of Executive Career Success

The present study examined the degree to which demographic, human capital,motivational, organizational, and industry/region variables predicted executive career success. Career success was assumed to comprise objective (pay, ascendancy) and subjective (job satisfaction, career satisfaction) elements. Results obtained from a sample of 1,388 U.S.executives suggested that demographic, human capital, motivational, and organizational variables explained significant variance in objective career success and in career satisfaction. Particularly interesting were findings that educational level, quality, prestige, and degree type all predicted financial success. In contrast, only the motivational and organizational variables explained significant amounts of variance in job satisfaction. These findings suggest that the variables that lead to objective career success often are quite different from those that lead to subjectively defined success

Effects of Personality, Cognitive Ability, and Fit on Job Search and Separation Among Employed Managers

The present study attempted to provide a constructive replication and extension of a study on managerial job search completed by Bretz, Boudreau, and Judge (1994). Beyond examining the same variables as Bretz et al. (1994), the effects of personality, cognitive ability, challenge and hindrance related job stress, and fit on job search and turnover also were examined. Data were collected from a 1995 survey of employed U.S. managers and a 1996 follow-up survey of respondents. Results based on a sample of 1,886 managers generally replicated the Bretz et al. results. Furthermore, hindrance related stress, cognitive ability, extraversion, openness to experience, and agreeableness were associated with search and/or separation

How to make the IS discipline relevant to non-IS stakeholders?

A recent survey of IS academic leaders revealed that a prominent concern of many IS academic leaders relates to making the IS discipline relevant to non-IS stakeholders within their university. Some examples of this challenge include: • MIS/IS is not well understood as a flagship area to strategically develop and improve by the university administrators; • Understanding of IS by those outside of the discipline and how to market the IS discipline to a larger audience, including students; • Managing the collaboration with other departments on emerging technologies initiatives (such as analytics, AI) and programs; • Rewarding cross-disciplinary research and navigating tenure when publishing in other fields; • Student and faculty recruitment and retention. This professional development symposium (PDS) is meant to leverage the vast experience of Senior Scholars who have dealt with this issue and to hear their guidance and recommendations as to how to address this. This PDS is sponsored by the AIS College of Academic Leadership and the College of Senior Scholars

Nucleic acids and growth of \u3cem\u3eCalanus finmarchicus\u3c/em\u3e in the laboratory under different food and temperature conditions

We examined the effects of food concentration and temperature on nucleic acids and protein content of Calanus finmarchicus in order to evaluate the use of RNA as a growth rate index for this species. We measured RNA, DNA, and protein content of copepods reared from egg to adult stage in 5 combinations of food and temperature conditions (25 to 500 µg C l-1, 4 to 12°C). At 8°C, DNA, RNA and protein content and RNA:DNA differed among food treatments during Stages N6 through to adult female. Protein:DNA ratios and RNA:protein ratios were significantly different among food levels for only 3 of the 8 stages examined. At excess food, DNA, RNA, and protein content and RNA:DNA ratios were inversely related to temperature for most stages from C1 onward, but the effect of temperature was relatively small over the range of temperatures investigated. The RNA:DNA and protein:DNA ratios increased with developmental stage whereas the RNA:protein ratio and growth rates (measured in terms of protein, nitrogen, DNA, and carbon content) declined with increasing stage. Although the relationship of RNA:DNA to growth rates was stage-specific, the two were related when standardized for temperature and developmental stage. RNA:protein ratios were directly related to growth rates regardless of stage, and the slope of the relationship increased with increasing temperature in a nonlinear fashion. Our results emphasize the importance of temperature and developmental stage for the relationship of growth rates to RNA concentration and RNA:DNA ratios. We propose 2 ways to estimate in situ growth rates of C. finmarchicus from RNA:DNA or RNA:protein ratios and environmental temperatur

Properties of Healthcare Teaming Networks as a Function of Network Construction Algorithms

Network models of healthcare systems can be used to examine how providers collaborate, communicate, refer patients to each other. Most healthcare service network models have been constructed from patient claims data, using billing claims to link patients with providers. The data sets can be quite large, making standard methods for network construction computationally challenging and thus requiring the use of alternate construction algorithms. While these alternate methods have seen increasing use in generating healthcare networks, there is little to no literature comparing the differences in the structural properties of the generated networks. To address this issue, we compared the properties of healthcare networks constructed using different algorithms and the 2013 Medicare Part B outpatient claims data. Three different algorithms were compared: binning, sliding frame, and trace-route. Unipartite networks linking either providers or healthcare organizations by shared patients were built using each method. We found that each algorithm produced networks with substantially different topological properties. Provider networks adhered to a power law, and organization networks to a power law with exponential cutoff. Censoring networks to exclude edges with less than 11 shared patients, a common de-identification practice for healthcare network data, markedly reduced edge numbers and greatly altered measures of vertex prominence such as the betweenness centrality. We identified patterns in the distance patients travel between network providers, and most strikingly between providers in the Northeast United States and Florida. We conclude that the choice of network construction algorithm is critical for healthcare network analysis, and discuss the implications for selecting the algorithm best suited to the type of analysis to be performed.Comment: With links to comprehensive, high resolution figures and networks via figshare.co