DISSIMILAR STRUCTURAL AND CONTROL PROFILES OF EDUCATIONAL AND TECHNICAL ORGANIZATIONS[1]

This article contrasts the characteristic structural and control profiles of educational organizations with those of technical organizations. A group of primary and secondary schools and the operating units of an industrial firm differed both in structural variables and in three activities of control: buffering, smoothing, and forecasting. the article suggests that educational organizations emphasize modes of control that operate on components peripheral rather than central to the organization's technical core.     

Remaining life estimation of used components in consumer products: Life cycle data analysis by Weibull and artificial neural networks

Environmental awareness and legislative pressures have made manufacturers responsible for the take-back and end-of-life treatment of their products. To competitively exploit these products, one option is to incorporate used components in “new” or remanufactured products. However, this option is partly limited by a firm's ability to assess the reliability of used components. A comprehensive two-step approach is proposed. The first stage phase statistically analyzes the behavior of components for reuse. A well-known reliability assessment method, the Weibull analysis, is applied to the time-to-failure data to assess the mean life of components. In the second phase, the degradation and condition monitoring data are analyzed by developing an artificial neural network (ANN) model. The advantages of this approach over traditional approaches employing multiple regression analysis are highlighted with empirical data from a consumer product. Finally, the Weibull analysis and the ANN model are then integrated to assess the remaining useful life of components for reuse. This is a critical advance in sustainable management of supply chains since it allows for a better understanding of not only service requirements of product, but the remaining life in a product and hence its suitability for reuse or remanufacture. Future work should assess: (1) reduction in downtime of process equipment through the implementation of this technique as a means to better manage preventative maintenance; (2) reduce field failure of remanufactured product; (3) selling-service strategy through implementation of the proposed methodology.     

Group decision-making: Head-count versus intensity of preference

This paper puts forth a framework for reshaping the group decision-making process. The proposed framework extends from the usual one-issue-at-a-time decision-making to one that involves several related issues simultaneously. Weaknesses of the traditional majority voting mechanism are first identified, and then a different voting method that takes each individual voter's sentiment into account is discussed. Specifically, a decision-maker is asked to express his/her intensity of preference for the issues encountered. Three hierarchical structures—benefits, costs, and risks—are developed to evaluate the alternatives. Due to the nature of pairwise comparisons and synthesis, the proposed method is amenable to consensus building and has higher reliability and consistency. It can be used for candidate selection, e.g. governmental election, when a large population is involved. It is also effective for resource allocation and prioritization when a small group or business is concerned. We believe the proposed approach has potential for resolving deficiencies of the conventional voting mechanism, and can be applied to many real-world problems. Its implementation on the Internet is also discussed.     

Duration dependence testing for speculative bubbles

Prior research has employed a number of methods to test for speculative bubbles in asset prices, including a method based on the concept of duration dependence. This study explores whether duration dependence tests for speculative bubbles are sensitive to specification decisions. Our results question the efficacy of using measures of duration dependence to test for speculative bubbles. In particular, we find that evidence of duration dependence is sensitive to the method of correcting for discrete observation of continuous duration, the use of value-weighted versus equally weighted portfolios, and the use of monthly versus weekly runs of abnormal returns. (JEL C41, G12)     

Roles of chairs in entrepreneurship: What deans expect

Major donations, especially for endowed chairs, put Colleges of Business and Universities in the spotlight and create a great deal of excitement, highlighting the important role that educational institutions play in benefiting the students, the community, and society in general. This kind of excitement needs to be sustained over time, signifying the link that the endowed Chair or Professorship in Entrepreneurship creates between the past, the present, and the future. Consequently, there is a need for a long-term personal connection and close relationship between the donor, the faculty holding the endowed chair, and the institution represented by the Dean that should be preserved over time. This study reports findings of a survey of the perceptions of AACSB Deans on what an Endowed Chair in Entrepreneurship is, and what it could, and should mean for their institution.     

Pseudo empirical likelihood method in the presence of missing data

In this paper, we propose an estimator for the population mean when some observations on the study and auxiliary variables are missing from the sample. The proposed estimator is valid for any unequal probability sampling design, and is based upon the pseudo empirical likelihood method. The proposed estimator is compared with other estimators in a simulation study.     

Dynamics of fertility and labour force participation of Canadian women in 1971 and 1981: a cohort approach

The authors analyze the relationship between labor force participation and fertility in Canada using data from the Public Use Sample Tapes from the 1971 and 1981 censuses. Factors considered include age, religion, educational status, and marital status. The authors conclude that "labour force participation of women seems to have less influence on fertility compared to [the] fertility effect on labour force participation."     

Changes in the theory of interorganizational relations in marketing: Toward a network paradigm

The marketing environment in the 21st century promises to be knowledge rich and very turbulent. The classic, vertically integrated, multidivisional organization, so successful in the 20th century, is unlikely to survive in such an environment. The evidence indicates it will be replaced by new forms of network organization consisting of large numbers of functionally specialized firms tied together in cooperative exchange relationships. This article explores the characteristics of four types of network organization that may represent prototypes of the dominant organizations of the next century. These include the internal market network, the vertical market network, the intermarket network, and the opportunity network. The economic rationale and the types of coordination and control mechanisms driving network organizations are very distinct from those studied under the current exchange or dyadic paradigm. This article analyses the kinds of changes involved in key variables and their meanings in moving from a dyadic view of exchange to a network view. Prior to joining the faculty of The George Washington University in 1991, he was on the faculty of the University of Notre Dame. His areas of research interest include interorganization theory and marketing strategy. His articles have appeared in theJournal of Marketing, Journal of Marketing Research, Social Science Research, Journal of Business Strategy, Journal of Public Policy and Marketing, and various other publications. He is a member of the editorial review board of theJournal of Marketing.     

An empirical test of trust-building processes and outcomes in sales manager-salesperson relationships

This study examines three trust-building processes and outcomes in sales manager-salesperson relationships. This study, based on a sample of more than 400 business-to-business salespeoples from a variety of industries, shows two trust-building processes (predictive and identification) to be significantly related to salesperson trust in the sales manager. Interpersonal trust was found to be most strongly related to shared values and respect. Trust was directly related to job satisfaction and relationalism, and indirectly related to organizational commitment and turnover intention. Thomas G. Brashear (brashear@mktg.umass.edu) (Ph.D., Georgia State University) is an assistant professor of marketing in the Isenberg School of Management at the University of Massachusetts-Amherst. James S. Boles (jboles@gsu.edu) (Ph.D., Louisiana State University) is an associate professor of marketing in the Robinson College of Business at Georgia State University. His research has appeared in a variety of journals, including theJournal of Marketing, theJournal of Business Research, theJournal of the Academy of Marketing Science, theJournal of Retailing, theJournal of Personal Selling and Sales Management, and theJournal of Applied Psychology. His areas of research interest include personal selling, sales management, key and strategic account management, and business relationships. Danny N. Bellenger (mktdnb@langate.gsu.edu) (Ph.D., University of Alabama) is currently chairman of the Marketing Department in the Robinson College of Business at Georgia State University. His research has appeared in a number of academic journals including theJournal of Marketing Research, theJournal of Marketing, theJournal of Advertising Research, theCalifornia Management Review, theJournal of Retailing, theJournal of Personal Selling and Sales Management, Industrial Marketing Management, and theJournal of Business Research. He has authored four monographs and four textbooks on marketing research, sales, and retailing. Charles M. Brooks (brooks@quinnipiac.edu) (Ph.D., Georgia State University) is an associate professor and chair of the Department of Marketing and Advertising at Quinnipiac University. His research has appeared in theJournal of Business Research, theJournal of Retailing, Marketing Theory, and theJournal of Marketing Theory and Practice.     

Prediction of the Indian summer monsoon using a stacked autoencoder and ensemble regression model

The study of climatic variables that govern the Indian summer monsoon has been widely explored. In this work, we use a non-linear deep learning-based feature reduction scheme for the discovery of skilful predictors for monsoon rainfall with climatic variables from various regions of the globe. We use a stacked autoencoder network along with two advanced machine learning techniques to forecast the Indian summer monsoon. We show that the predictors such as the sea surface temperature and zonal wind can predict the Indian summer monsoon one month ahead, whereas the sea level pressure can predict ten months before the season. Further, we also show that the predictors derived from a combination of climatic variables can outperform the predictors derived from an individual variable. The stacked autoencoder model with combined predictors of sea surface temperature and sea level pressure can predict the monsoon (June-September) two months ahead with a 2.8% error. The accuracy of the identified predictors is found to be superior to the state-of-the-art predictions of the Indian monsoon.