The role of attitude in learning economics: Race and gender differences

This study identifies and analyzes factors that affect a learner's knowledge, comprehension, and application of economics by racial and gender grouping. A decomposition model is used to evaluate the impact of attitudinal effects and other exogenous variables on economic cognition. Preliminary findings suggest that the attitude of black students towards economics instruction differs from their white cohorts while no gender differences are found.     

Believing in employment discrimination: The case of Forrest Mims,Scientific American,and title VII protection

This article reviews the law regarding Title VII employment discrimination protection from religious discrimination. The issues surrounding the principal legal protection in this regard are explored in the context of a recent controversial case in which an author, Forrest Mims, was not hired as a regular contributor forScientific American magazine, ostensibly because of his belief in the theory of creation over the theory of evolution. The definition of what constitutes a protected religious belief or practice is seen to have expanded over time. However, a belief in creationism is not necessarily seen as being tantamount to a religious belief under present legal interpretation of Title VII. The implications of this finding for future needed Title VII revision are discussed.     

Issues in the estimation and application of latent structure models of choice

Our paper provides a brief review and summary of issues and advances in the use of latent structure and other finite mixture models in the analysis of choice data. Focus is directed to three primary areas: (1) estimation and computational issues, (2) specification and interpretation issues, and (3) future research issues. We comment on what latent structure models have promised, what has been, to date, delivered, and what we should look forward to in the future.     

Correlates of organizational effectiveness: A multilevel analysis of a multidimensional outcome

This paper explores the relationship between environmental scarcity, organization size, and board composition with measures of financial and social performance. All three correlates were found to be related to both measures of performance and the hypotheses were largely supported. Anomalous relationships, however, were found between organizational size and social performance as well as outsider representation and financial performance. This study demonstrates that normative explorations focusing only on financial performance can lead to misleading conclusions about organizational effectiveness.William Q. Judge is currently an assistant professor of strategic management at the University of Tennessee at Knoxville. He is continuing his research in the areas of organizational effectiveness, stakeholder management, and corporate governance.     

R&D–Marketing Integration Mechanisms, Communication Flows, and Innovation Success

Rudy Moenaert, William Souder, Arnoud De Meyer, and Dirk Deschoolmeester report the results of their study of forty technologically innovative Belgian companies to examine the interaction between marketing and R&D. They studied one commercially successful and one commercially unsuccessful technological product innovation project in each participating company and collected data from one marketing and one R&D respondent per project. Communication flows between marketing and R&D are increased under conditions involving formalization of projects, decentralization, positive interfunctional climate, and role flexibility.     

Economists and Data

This paper is concerned with one central question: the choice between theories, and the role played by data in that choice. It deals with the uses economists may make of data and the importance of understanding the institutional basis that gives rise to the data - an area in which labour economists have traditionally been particularly strong - and with the relevance of assumptions. It deals with the ultimate need to choose between competing theories (despite the role of conventionalism) on the basis of data rather than retreating into a comfortable 'methodological pluralism'. It considers the role of test replication, with reference to the practice in natural science (and its role there in checking scientific fraud) and concludes that, despite extensive technical problems of testing, economists have to accept a data check if the rhetoric of mathematical technicality is not to overwhelm the need to explain. Parallels are drawn with experience in physics (and the implications of the development of Chaos and Catastrophe for a naively predictionist view are noted), medicine and history (of which, it is argued, modern economists are far too neglectful).     

Rafting the River: A Risk Management Expert System for Dynamic Problem Solving

Commercial project management systems focus on preproject planning and after-the-fact documentation, but not on the dynamic problem solving required in day-to-day project management. Yet the need for risk-oriented management is clear. To understand and control project risks, managers must be able to identify problems as they occur, immediately assess their downstream impacts, and plan a course of action. The Advanced Risk Management System (ARMS) is a prototype system built to address the issues of identifying, analyzing, prioritizing, monitoring, and controlling project risk. ARMS uses expert systems, data base management, and hypermedia technologies to capture and classify project schedule problems, to determine their semantic impacts to future activities, and to alert appropriate project personnel in advance of problem occurrence.