On building better construct measures: Implications of a general hierarchical model

Four problems occur in the scale development process: (a) defining the construct, (b) drawing items from multiple domains, (c) identifying dimensions, and (d) showing nomological validity. In order to minimize these problems, the authors propose a general hierarchical model (GHM) that provides an organizational structure for placing many of the individual difference constructs used in marketing and consumer behavior. Three principles, which were derived from the GHM, add to the current scale development paradigm: (a) Define and test the construct within a hierarchical network that includes antecedents and consequences, (b) define and test the construct's dimensionality, and (c) match the construct's items to its level in the hierarchical system. By using these steps in scale development, researchers can build more precise measures possessing higher levels of validity and reliability. © 2008 Wiley Periodicals, Inc.     

Arthur McIvor and Ronald Johnston. Miners' Lung: A History of Dust Disease in British Coal Mining

Over the course of the past two decades, historians have begunto pay serious and sustained attention to the history of occupationalhealth, much of it analyzing the role of social, economic, andpolitical factors in the medical recognition of industrial disease.Although much has been published about the British coal industry,this is the first book to address the issue of health and safetyin this critically important sector of the British economy.Miners’ Lung, building on the work done by Jo     

Predicting workload requirements for scheduled health care services, with an application to radiology departments.

A model is developed for predicting workload requirements for scheduled health care services. The model is then applied to an actual planning problem for a radiology department. The probability distribution of future workload is represented by the convolution of two families of random variables such that a compound Poisson process adequately describes workload requirements. The model developed herein can be applied to a wide assortment of capacity-expansion problems that are characterized by discrete demands (e.g. number of jobs) occurring in a given period of time, where the amount of time needed to complete each job is a continuous random variable.     

Know-how transfer: the role of social,economic/competitive,and firm boundary factors

Using policy capture methodology, this study examines the effect of different contextual cues upon the know-how transfer efforts reported by 79 biotechnology R&D scientists. Theoretically, these different cues are believed to affect the scientists' expectation of reciprocity, and thus their know-how transfer behavior. Three types of contextual cues between the know-how source and recipient were studied: competitiveness, social relationship, and within or across firm boundaries. We find these cues are associated, in the expected directions, with know-how transfer effort. The findings support a general theory of reciprocity whereby social, competitive, and firm boundary cues have a summative effect upon the expectation of reciprocity and know-how transfer. This is the first study to examine how these cues taken together influence the know-how transfer decision. Copyright © 2008 John Wiley & Sons, Ltd.     

Mergers: Significance for structure,performance and public policy session comment

Chief, Center for Economic Studies, Bureau of the Census.     

Choice and the Internet: From Clickstream to Research Stream

The authors discuss research progress and future opportunities for modeling consumer choice on the Internet using clickstream data (the electronic records of Internet usage recorded by company web servers and syndicated data services). The authors compare the nature of Internet choice (as captured by clickstream data) with supermarket choice (as captured by UPC scanner panel data), highlighting the differences relevant to choice modelers. Though the application of choice models to clickstream data is relatively new, the authors review existing early work and provide a two-by-two categorization of the applications studied to date (delineating search versus purchase on the one hand and within-site versus across-site choices on the other). The paper offers directions for further research in these areas and discusses additional opportunities afforded by clickstream information, including personalization, data mining, automation, and customer valuation. Notwithstanding the numerous challenges associated with clickstream data research, the authors conclude that the detailed nature of the information tracked about Internet usage and e-commerce transactions presents an enormous opportunity for empirical modelers to enhance the understanding and prediction of choice behavior.     

Gold price risk and the returns on gold mutual funds

A model is presented for estimating the theoretical gold price elasticity of the value of mutual funds investing in gold mining companies. The theoretical elasticity shows that if the funds invest in companies whose assets are comprised primarily of operating gold mines, then the return of an investment in the fund will be at least as great as an investment in gold (i.e., the gold price elasticity of the gold fund is greater than 1). Empirical tests of the above propositions are presented. Empirical tests also show, however, that the gold mutual funds contain a substantial amount of risk which is not explained either by market risk or gold price risk. Accordingly, gold mutual funds and gold bullion do not bring identical risks to an investor's portfolio.