Managerial support for basic psychological needs,somatic symptom burden and work-related correlates: A self-determination theory perspective

Somatic symptom burden, or the experience of physical symptomatology without a medical explanation, is related to functional disability and poor quality of life. The consequences of somatic symptom burden extend beyond the individual and affect society, as manifested in higher medical utilization and lower job productivity. Using self-determination theory, we posited that employees' perceptions of managerial support for basic psychological needs may be associated with lower levels of somatic symptom burden among employees, in part because such contexts promote autonomous self-regulation (a type of motivation) at work. Also, we posited that somatic symptom burden among employees would explain some of the relations of managerial need support and autonomous self-regulation at work to indices of work-related functioning, namely emotional exhaustion, turnover intention and absenteeism. Results from 287 Norwegian employees confirmed these hypotheses. These findings not only identify a theoretical mechanism that may explain (in part) the origin of somatic symptoms, but also offer a model by which social-contextual and motivational factors affect important work-related outcomes. These findings also bespeak the importance of developing workplace interventions that provide support for satisfaction of the basic psychological needs.     

Shiftwork effects in nuclear power workers: A field study using portable computers

Abstract

This field study of nuclear power shiftworkers reports the use of hand-held computers to record alertness levels, cognitive task performance and workload ratings. Subjective ratings and performance tasks (Search and Memory-5 (SAM-5); Choice Reaction Time (CRT) were completed on the computers at 2-h intervals during selected shifts in the work schedule by maintenance crews and reactor operators. Sleep duration and quality data were also obtained during the 35-day shift cycle. Workload remained relatively stable across shifts. The night-shift was associated with shorter sleep durations and poorer sleep quality. Significantly lower levels of alertness and poorer perforniance for components of the performance tasks were also observed on the night-shift. Tinic-on-shift effects on alertness were evident, where by for the night-shift, especially, alertness dropped dramatically during the early hours. Components of SAM-5 performance showed differential time-on-shift patterning relative to each shift whereas CRT was unresponsive to time-on-shift effects. Significant variations were observed in alertness and performance components during the 12-h night-shift. Perhaps paradoxically, performance on the 12-h night-shift appeared to improve rather than deteriorate during the early-hour period that was associated with the greatest drop in alertness. This was suggestive of extra effort expenditure during this critical period.     

INTEGRATING EMPIRICAL RESEARCH INTO THE PUBLIC POLICY PROCESS: AN ILLUSTRATION

A number of critical questions have arisen surrounding the value of using empirical data and analytical procedures in the formulation of social and/or public policy. This exploratory study illustrates how multivariate analyses can contribute to an objective formulation of compromise positions on a complex public policy issue. Both multidimensional scaling and analysis of variance were used to study how the perceptions of three divergent key influential groups could be integrated into a final legislative package. This researchbased methodology provides a more logical approach to public policy formulation than that typically offered by political compromise.     

Experimental Analysis of Neighborhood Effects

Families, primarily female‐headed minority households with children, living in high‐poverty public housing projects in five U.S. cities were offered housing vouchers by lottery in the Moving to Opportunity program. Four to seven years after random assignment, families offered vouchers lived in safer neighborhoods that had lower poverty rates than those of the control group not offered vouchers. We find no significant overall effects of this intervention on adult economic self‐sufficiency or physical health. Mental health benefits of the voucher offers for adults and for female youth were substantial. Beneficial effects for female youth on education, risky behavior, and physical health were offset by adverse effects for male youth. For outcomes that exhibit significant treatment effects, we find, using variation in treatment intensity across voucher types and cities, that the relationship between neighborhood poverty rate and outcomes is approximately linear.     

“MANAGING THE DECISION SCIENCE TECHNOLOGY: A CASE FOR ETHICAL ANALYSIS?”-COMMENT

In the current issue of Decision Sciences, Brightman [2] argues that the growth of the discipline should be managed, and individual decision scientists must ultimately be held accountable for the ethical implications of implementing their research findings. The purpose of this comment is to examine several principles behind Brightman's arguments and to initiate a discussion of some of the important issues that have been raised. The distinction between the inquiry and technological imperatives and questions about the universality of moral reasoning at the ethical-principles leverl further Brightman's analysis and pose important considerations for decision scientists.     

Freezing the Master Production Schedule: Implications for Fill Rate*

Previous research examining alternative ways of dealing with schedule instability has shown that freezing a portion of the master production schedule (MPS) is a cost effective way to reduce instability. While it is often argued that MPS freezing limits the firm's ability to react to changing customer needs, the impact of freezing on customer service is not well understood. We examined the impact of freezing a specified portion of the MPS on the average fill rate under a wide variety of conditions using controlled simulation experiments. The results show that freezing can be implemented without causing a severe reduction in customer service.     

PORTFOLIO MODELING IN MULTIPLE-CRITERIA SITUATIONS UNDER UNCERTAINTY

There have been many models for portfolio selection, but most do not explicitly include uncertainty and multiple objectives. This paper presents an approach that includes these aspects using a form of stochastic integer programming with recourse. The method involves the use of a time-based decision tree structure called a “project tree.” Using this basic format, an illustrative six-project example is presented and analyzed. Various forms of objectives are discussed, ranging from the maximization of expected portfolio value to the maximization of the minimum weighted portfolio deviation from two goals. In each case, formulated numerical problems are given, and the solutions derived are presented. The approach is shown to be very flexible and capable of handling a variety of situations and objectives.     

A GOAL PROGRAMMING MODEL FOR ALLOCATING HUMAN RESOURCES FOR THE GOOD LABORATORY PRACTICE REGULATIONS

The Food and Drug Administration's final Good Laboratory Practice regulation will have a far-reaching effect on testing laboratories that are conducting nonclinical laboratory safety tests. This paper develops a goal programming decision model suitable for setting objectives, meeting budgetary and operational constraints, planning personnel utilization, and evaluating different proposals for allocating laboratory personnel to implement a program.     

SUBJECTIVE EVALUATIONS FOR PRODUCT DESIGN DECISIONS

This paper presents a simple methodology to enable a firm to incorporate consumers' subjective evaluations early into the concept screening stage of a new product introduction process. The methodology involves eliciting ranked preference judgments toward a set of alternative product concepts, each described as a profile of attributes and derived from an interval-scaled utility score using Thurstone's comparative judgment model. The derived utility scores are then decomposed into simple effects attributable to each of the attributes, thus yielding functional representations of consumer preferences. Mathematical models are developed to utilize the functions to determine the best concept. Empirical illustrations are provided for application of the methodology.