Effects of Leader Support in the Work Unit on the Relationship Between Work Spillover and Family Adaptation

This study examines the direct versus the buffering effect of leader support in the work unit on the relationship between work spillover and family adaptation. The analyses use data from a probability sample of 3,190 married soldiers in the U.S. Army who participated in the 1989 Army and Family Survey, and the data are analyzed by the gender of the respondent. Two types of work spillover are examined in the analysis (energy and time interference), and both internal and external types of family adaptation are hypothesized and supported by the empirical analysis. Only modest support is found for the buffering effect hypothesis. In support of the direct effect hypothesis, the findings indicate that leader support in the work unit decreases perceptions of work spillover, which is a preventive effect, and enhances perceptions of external adaptation, which is a therapeutic effect.     

Restaurant Revenue Management at Chevys: Determining the Best Table Mix

Revenue management has been used in a variety of industries and generally takes the form of managing demand by manipulating length of customer usage and price. Supply mix is rarely considered, although it can have considerable impact on revenue. In this research, we focused on developing an optimal supply mix, specifically on determining the supply mix that would maximize revenue. We used data from a Chevys restaurant, part of a large chain of Mexican restaurants, in conjunction with a simulation model to evaluate and enumerate all possible supply (table) mixes. Compared to the restaurant's existing table mix, the optimal mix is capable of handling a 30% increase in customer volume without increasing waiting times beyond their original levels. While our study was in a restaurant context, the results of this research are applicable to other service businesses.     

Predicting Adolescent Autonomy from Parents: Relationship Connectedness and Restrictiveness

This study examined the extent to which adolescents'behavioral autonomy was predicted by several aspects of the parent-youth relationship that are encompassed by the general constructs connectedness and restrictiveness. Both of these general relationship constructs are composed of more specific social-psychological predictors consisting of parental behaviors, parent-adolescent authority dimensions, and indicators of family ties. A total of 657 adolescents (mean age = 16.3 years) and 753 parents responded to self-report questionnaires. Hierarchical multiple regression analyses were used to test the hypotheses from both the adolescents'and parents'perspectives in separate models. Many of the predictions were confirmed, indicating that adolescent behavioral autonomy often develops within contexts of relationship connectedness, such as continuing parent-youth authority and supportiveness. Moreover, as expected, youthful autonomous behavior was inhibited by such aspects of relationship restrictiveness as punitive behavior and the perceived coercive abilities of parents.     

The social context of Welsh-medium bilingual education in anglicised areas

Principal component analysis of indicators from the 1991 Census was used to characterise the social context of school age Welsh speakers in South East Wales. The area had been largely anglicised by the Census of 1971, but the growth of Welsh-medium education was responsible for net gains in numbers of younger Welsh/English bilinguals. Doubts as to whether young people will remain active bilinguals after leaving school have been raised. The inter-relationships between figures for Welsh speaking in the Census and other social indicators were examined. Being categorised as a young Welsh speaker was found to cut across an economic advantage/disadvantage dimension, and so was a matter of life style rather than a by-product of parental choices unrelated to language resurgence. Probing life styles by means of interviews where Welsh-medium and English-medium schools could be matched on the economic advantage/disadvantage dimension showed that deciding for Welsh-medium education was embedded in authentic local life styles. Although networks of people at more local spatial scales were involved in Welsh-medium education, they were linked to wider scale networks establishing domains for Welsh language use in the public sector and local government.     

Learning How and Learning What: Effects of Tacit and Codified Knowledge on Performance Improvement Following Technology Adoption

This paper examines effects of tacit and codified knowledge on performance improvement as organizations gain experience with a new technology. We draw from knowledge management and learning curve research to predict improvement rate heterogeneity across organizations. We first note that the same technology can present opportunities for improvement along more than one dimension, such as efficiency and breadth of use. We compare improvement for two dimensions: one in which the acquisition of codified knowledge leads to improvement and another in which improvement requires tacit knowledge. We hypothesize that improvement rates across organizations will be more heterogeneous for dimensions of performance that rely on tacit knowledge than for those that rely on codified knowledge (H1), and that group membership stability predicts improvement rates for dimensions relying on tacit knowledge (H2). We further hypothesize that when performance relies on codified knowledge, later adopters should improve more quickly than earlier adopters (H3). All three hypotheses are supported in a study of 15 hospitals learning to use a new surgical technology. Implications for theory and practice are discussed.     

Economic inequality and child stunting in Bangladesh and Kenya: an investigation of six hypotheses

Consistent with the increasing focus on issues of equity in developing countries, I extend the literature analyzing the relationship between economic inequality and individual health to the developing world. Using survey data from Bangladesh and Kenya with economic status measured by a wealth index and with three different geographic definitions of community, I analyze six competing hypotheses for how economic inequality may be related to stunting among children younger than 5 years old. I find little support for the predominant hypothesis that economic inequality as measured by a Gini index is an important predictor of individual health. Instead, I find that the difference between a household's wealth and the mean household wealth in the community is the measure of economic inequality that is most closely related to stunting in these countries. In particular, a 1 standard deviation increase in household wealth relative to the community mean is associated with a 30–32 percent decrease in the odds of stunting in Bangladesh and a 16–21 percent decrease in the odds of stunting in Kenya.     

Learning by Objectives for Adaptive Shop-Floor Scheduling*

Effective production scheduling requires consideration of the dynamics and unpredictability of the manufacturing environment. An automated learning scheme, utilizing genetic search, is proposed for adaptive control in typical decentralized factory-floor decision making. A high-level knowledge representation for modeling production environments is developed, with facilities for genetic learning within this scheme. A multiagent framework is used, with individual agents being responsible for the dispatch decision making at different workstations. Learning is with respect to stated objectives, and given the diversity of scheduling goals, the efficacy of the designed learning scheme is judged through its response under different objectives. The behavior of the genetic learning scheme is analyzed and simulation studies help compare how learning under different objectives impacts certain aggregate measures of system performance.     

Correction Constants for Present Values of Seasonal Cash Flows

In a recent Decision Sciences article, McMath (1990) developed the correction constants approach for eliminating the end-of-year bias in the present value of streams with subannual cash flows. A limitation of this approach is that it assumes subannual cash flows are level. In many types of businesses, subannual cash flows follow a predictable seasonal pattern and, consequently, a present value estimate based upon a level correction constant is biased. This article derives a general formula for determining correction constants for seasonal cash flow patterns, examines the direction and magnitude of the seasonal bias, and applies seasonal correction constants to a capital budgeting problem.     

Marketing Category Forecasting: An Alternative of BVAR‐Artificial Neural Networks*

Analyzing scanner data in brand management activities presents unique difficulties due to the vast quantity of the data. Time series methods that are able to handle the volume effectively often are inappropriate due to the violation of many statistical assumptions in the data characteristics. We examine scanner data sets for three brand categories and examine properties associated with many time series forecasting methods. Many violations are found with respect to linearity, normality, autocorrelation, and heteroscedasticity. With this in mind we compare the forecasting ability of neural networks that require no assumptions to two of the more robust time series techniques. Neural networks provide similar forecasts to Bayesian vector autoregression (BVAR), and both outperform generalized autoregressive conditional herteroscedasticty (GARCH) models.