FLEXIBLE MANPOWER RESOURCING: A LOCAL LABOUR MARKET SURVEY

This article presents the results of an establishment level investigation carried out late in 1986 and early in 1987 of the extent of flexible manpower resourcing in the Aberdeen local labour market. It is necessary to place these results in the context of the general background of an increasing interest in flexible manning and of certain theoretical developments in labour and industrial economics. The results suggest that whilst a variety of means are used to attain flexibility in manning, few establishments can be regarded as truly ‘flexible firms’ and manpower strategies tend to be largely reactive and ad hoc.     

An optimum sampling design to base HT-method of estimating a finite population total

The problem of constructing a sampling design with the value of the sum of second order inclusion probabilities attaining its lower bound for non-integral values of the expected effective size of a sample in the design has been considered in this paper. If the values of the characteristic of interest on all the units in the population are non-negative the design is admissible (in the sense of variance) with respect to Horvitz-Thompson estimator in the class of designs with the same set of values of the first order inclusion probabilities of the units. Again such a design is best to use Horvitz-Thompson estimator of population total in the sense of smallest average variance of the estimator under a special superpopulatio model.     

是否应当欺骗--关于合作的经验或教训

本文通过欺骗与合作的成本比较探讨如何与合作伙伴建立一种双赢的合作关系.我们的结论是,合作比欺骗能给双方带来更大的利益.     

Social distance and shopping behavior

This research was designed to see whether a reconceptualization of social distance (as measured by social class variables) between shoppers and stores would provide a basis for understanding store avoidance behavior. A survey of shoppers classified into two distinct social classes investigated their images, including social class images, of two stores that had been selected as representatives of upscale and downscale retailers. A new measure of social distance was proposed and evaluated. Controlling for other functional aspects of store image such as price and personnel, the social distance measure was found to be influential in discriminating shopping frequency groups for the two stores, providing evidence that people tend to avoid stores that are perceived as being socially distant from themselves.     

Micro-level product-market dynamics: Shared knowledge and its relationship to market development

This work draws on consumer and psychology research to explain sociocognitive aspects of product-market dynamics at a higher level of specificity than prior research. The authors extend the field’s understanding of market-shaping shared knowledge through a theory-informed discussion of how shared product knowledge comes to exist and how it changes as product markets develop. They define shared knowledge as the aspects of product representations that are common across the minds of market actors, making it possible for them to understand one another. The authors also discuss ways to track shared knowledge content that is expressed in market narratives. As the characteristics of shared knowledge are explained and linked to stages of product-market development, the authors develop a set of researchable propositions to guide future research. The theoretical arguments and propositions in this article complement extant marketing strategy research by integrating individual-level consumer theory with market evolution models. José Antonio Rosa (jose.rosa@case.edu; Ph.D., University of Michigan) is an assistant professor of marketing at Case Western Reserve University. His research interests include product markets as sociocognitive phenomena, embodied knowledge in consumer and managerial sensemaking, consumer illiteracy and coping, commitment and motivation among members of network marketing organizations, and buying group satisfaction. His research has been published in marketing and management publications, including theJournal of Marketing and theAcademy of Management Journal. Before entering academia, he worked in the automotive and information systems industries. Jelena Spanjol (jspanjol@tamu.edu; Ph.D., University of Illinois) is an assistant professor of marketing at Texas A&M University. Her research interests include product market dynamics, product portfolio management, innovation, sensemaking, and organizational and managerial cognition in marketing strategy. Her research has been published in marketing and management publications, including theJournal of Marketing and several book chapters. Before academia, she worked in the scientific software industry.     

The effect of interstate highway on driving times and regional shopping center drawing power

Previous studies of the driving times of shopping center patrons have not examined the effect of limited access highways. This study analyzed the impact of interstate highways on the driving times of 204 shoppers at three medium-sized regional shopping centers. Those shoppers indicating usage of interstate highways to reach their shopping destinations were significantly more likely to incur travel times greater than fifteen and twenty minutes than those not using the available interstate roads. In predicting the drawing power of these shopping centers, factors besides mass were found to be useful. These include square footage of shopping goods, stores, and number of parking places.     

Forecasting recovery rates on non-performing loans with machine learning

We compare the performance of a wide set of regression techniques and machine-learning algorithms for predicting recovery rates on non-performing loans, using a private database from a European debt collection agency. We find that rule-based algorithms such as Cubist, boosted trees, and random forests perform significantly better than other approaches. In addition to loan contract specificities, predictors that refer to the bank recovery process — prior to the portfolio’s sale to a debt collector — are also shown to enhance forecasting performance. These variables, derived from the time series of contacts to defaulted clients and client reimbursements to the bank, help all algorithms better identify debtors with different repayment ability and/or commitment, and in general those with different recovery potential.     

The new productivity challenge

"The single greatest challenge facing managers in the developed countries of the world is to raise the productivity of knowledge and service workers," writes Peter F. Drucker in "The New Productivity Challenge." Productivity, says Drucker, ultimately defeated Karl Marx; it gave common laborers the chance to earn the wages of skilled workers. Now five distinct steps will raise the productivity of knowledge and service workers--and not only stimulate new economic growth but also defuse rising social tensions.