Characterizations of negative multinomial distributions based on conditional distributions

In this paper characterizations of negative multinomial distributions based on conditional distributions have been studied.     

Party alternation,divided government,and fiscal performance within US States

The literature on US state government fiscal performance has examined the role of institutional factors such as budget rules and divided government, but has largely ignored the impact of party alternation. This paper primarily focuses on whether party alternation in the governor’s office affects fiscal performance. Our hypothesis is that frequent party changes create a political environment that impacts fiscal performance. To further assess the impact of party alternation on fiscal performance, we consider our primary hypothesis in conjunction with the degree of division that exists between the governor’s office and the legislature. Using panel data from 37 states between 1971 and 2000 we test the hypothesis that frequent party alternation can be expected to affect fiscal performance and find strong support for the hypothesis. An earlier version of this paper was presented at the 2005 Public Choice Society Meetings. The authors would like to thank the conference participants, William Shughart, Charles Register, Jocelyn Evans, John D. Jackson, Amihai Glazer, and two anonymous referees for their comments. We would also like to thank Craig R. Stiller for his help in the collection of data. Any remaining errors remain the responsibility of the authors.     

Lower Bound Restrictions on Intensities in Data Envelopment Analysis

We propose an extension to the basic DEA models that guarantees that if an intensity is positive then it must be at least as large as a pre-defined lower bound. This requirement adds an integer programming constraint known within Operations Research as a Fixed-Charge (FC) type of constraint. Accordingly, we term the new model DEA_FC. The proposed model lies between the DEA models that allow units to be scaled arbitrarily low, and the Free Disposal Hull model that allows no scaling. We analyze 18 datasets from the literature to demonstrate that sufficiently low intensities—those for which the scaled Decision-Making Unit (DMU) has inputs and outputs that lie below the minimum values observed—are pervasive, and that the new model ensures fairer comparisons without sacrificing the required discriminating power. We explain why the low-intensity phenomenon exists. In sharp contrast to standard DEA models we demonstrate via examples that an inefficient DMU may play a pivotal role in determining the technology. We also propose a goal programming model that determines how deviations from the lower bounds affect efficiency, which we term the trade-off between the deviation gap and the efficiency gap.     

Optimising a Probabilistic Model of the Development of Play in Soccer

We present a probabilistic model based on the one developed by Hernández Mendo and Anguera (Revista de Psicologíca Social, 16(1), 71–93, 2001). Here we have tried to break down the interaction contexts that the opposing teams are able to generate and transform during the game. We are aware that a given player or team does not produce consistent behaviour in similar situations. However, a degree of uncertainty is assumed to exist regarding whether the results obtained are a specific function of the analysis used. In order to carry out this research a category system which optimized that used in the previous model was developed. This system should enable the interaction between teams to be observed within the actual play of a soccer game. A lag sequential analysis was performed on the basis of a coding of the behavioural flow. After describing the behavioural patterns obtained a probabilistic model of the development of play in soccer is proposed.     

Anchor stores

Planned shopping malls usually have one or more department (anchor) stores and multiple specialized retailers selling substitutable commodities in each commodity category. If consumers know their taste for the anchor's commodity and its price, but learn about a retailer's commodity only by costly search, collocation may benefit both store types. Intra-mall competition reduces markups, but anchors guarantee a minimum surplus from search. A mall with many retailers makes finding a suitable specialized commodity highly probable. For some parameters, additional consumer search dominates the loss in retail markups, so a profit-maximizing land developer would rent mall space to both store types.     

Developing a tutoring module for presentation of computerized patient management problems

The simulation problem is one of the most commonly used formats in computer-assisted instruction (CAI). In medical education, a patient simulation problem is known as a patient management problem (PMP). A number of computerized PMP systems are currently available. However, to date, there is no record of PMP systems having been developed using artificial intelligence. This is noteworthy since artificial intelligence techniques could help in the generation of more effective and intelligent instructional systems.

This paper analyzes and evaluates existing instructional simulation software in clinical medicine in terms of effective educational design attributes. Components of effective PMP systems thus identified are incorporated into a computerized instructional system which uses artificial intelligence techniques for teaching problem-solving and diagnostic skills to undergraduate medical students.     

A strategic human resource perspective of firm competitive behavior

Embedded within firms are unique stores of intangible human assets that likely influence the way firms compete. We argue that the human and social capital of a firm, particularly at the upper echelon and board of director (BOD) levels, contribute to the firm's awareness of the competitive environment and its motivation and ability to undertake numerous, complex, and forceful competitive actions. We also suggest that the firm's executive compensation systems moderate the effects of these intangible human assets on firm competitive behavior. By examining how human capital, intra-firm social capital, and executive compensation influence firm competitive behavior, we advance a strategic HRM perspective of firm competitive behavior and outline several implications for future research.     

AN EXAMINATION OF THE UNDERLYING DYNAMICS OF STRATEGIC DECISIONS SUBJECT TO UPWARD INFLUENCE ACTIVITY

This study examines the underlying dynamics of strategic decisions that are subject to upward influence activity. The results suggest that the strategymaking process deviates considerably from typical rational comprehensive approaches in that strategies are affected by: initial sense-making activity, perceptions of risk and return, and power and negotiation skills. Differences due to functional area of the manager involved in the influence activity are discussed.     

Unlocking the potential of advanced manufacturing technologies

This research examines whether investments in advanced manufacturing technologies (AMTs) such as flexible manufacturing systems (FMS), computer aided design (CAD), computer aided manufacturing (CAM), robotics, etc., are more likely to lead to improved performance if they are supported by improvements in the manufacturing infrastructure of the company. This question is evaluated using data gathered from 202 manufacturing plants chosen from industries generally considered to have relatively high investments in technology.Multiple item scales are developed and adapted from sources in the literature to measure investments in technology, infrastructure, and the performance of the plant. Evidence supporting the reliability and validity of these scales is provided. Hierarchical regression is used to analyze the relationship between technology, infrastructure, and performance. The results suggest that there is an important interaction between the adoption of advanced manufacturing technologies and investments in infrastructure. Firms that invest in both AMTs and infrastructure perform better than firms which only invest in one or the other. Separate analyses on sub-samples of firms with the highest and lowest investments in AMTs show that infrastructural investments have a stronger relationship with performance in the high investment group. Thus, the data indicate that infrastructural investments provide a key to unlocking the potential of advanced manufacturing technologies.     

Alliance competence, resources, and alliance success: Conceptualization, measurement, and initial test

This research examines the effect of an alliance competence on resource-based alliance success. The fundamental thesis guiding this research is that an alliance competence contributes to alliance success, both directly and through the acquisition and creation of resources. Using survey data gathered from 145 alliances, empirical tests of the hypotheses provide support for the posited explanation of alliance success. The findings indicate that an alliance competence is not only antecedent to the resources that are necessary for alliance success but also to alliance success itself. C. Jay Lambe (Ph.D., The Darden School at University of Virginia) is an assistant professor of marketing in the Pamplin College of Business at Virginia Tech. For 10 years prior to entering academe, he was engaged in business-to-business marketing for both Xerox and AT&T. His research interests include business-to-business marketing, relationship marketing, marketing strategy, and sales management. He has publications in theJournal of the Academy of Marketing Science, theJournal of Product Innovation Management, theEuropean Journal of Marketing, theJournal of Personal Selling and Sales Management, theInternational Journal of Management Reviews, theJournal of Business-to-Business Marketing, and theJournal of Relationship Marketing. He also serves as a reviewer for theJournal of Business-to-Business Marketing. Prior to joining the faculty at Virginia Tech, he was one of five Texas Tech University faculty members chosen in 1999 from the entire university for the annual Outstanding Faculty Member Award by the Mortar Board and Omicron Delta Kappa (Texas Tech University student organizations that recognize excellence in teaching). Robert E. Spekman is the Tayloe Murphy Professor of Business Administration at the Darden School at the University of Virginia. He was formerly a professor of marketing and associate director of the Center for Telecommunications at the University of Southern California. He is an internationally recognized authority on business-to-business marketing and strategic alliances. His consulting experiences range from marketing research and competitive analysis, to strategic market planning, supply chain management, channels of distribution design and implementation, and strategic partnering. He has taught in a number of executive programs in the United States, Canada, Latin America, Asia, and Europe. His executive program experience ranges from general marketing strategy, to sales force management, to channels strategy, to creating strategic alliances, to business-to-business marketing strategy, to a number of single-company and senior executive management programs. He has edited and/or written seven books and has authored (coauthored) more than 80 articles and papers. He also serves as a reviewer for a number of marketing and management journals, as well as for the National Science Foundation. Prior to joining the faculty at the University of Southern California, he taught in the College of Business at the University of Maryland, College Park. During his tenure at Maryland, he was granted the Most Distinguished Faculty Award by the MBA students on three separate occasions. Shelby D. Hunt is the J. B. Hoskins and P. W. Horn Professor of Marketing at Texas Tech University, Lubbock. A past editor of theJournal of Marketing (1985–87), he is the author ofModern Marketing Theory: Critical Issues in the Philosophy of Marketing Science (South-Western, 1991) andA General Theory of Competition: Resources, Competences, Productivity, Economic Growth (Sage, 2000). He has written numerous articles on competitive theory, macromarketing, ethics, channels of distribution, philosophy of science, and marketing theory. Three of hisJournal of Marketing articles—“The Nature and Scope of Marketing” (1976), “General Theories and Fundamental Explananda of Marketing” (1983), and “The Comparative Advantage Theory of Competition” (1995) (with Robert M. Morgan)—won the Harold H. Maynard Award for the best article on marketing theory. His 1985Journal of Business Research article with Lawrence B. Chonko, “Ethics and Marketing Management,” received the 2000 Elsevier Science Exceptional Quality and High Scholarly Impact award. His 1989 article, ”Reification and Realism in Marketing: in Defense of Reason,” won theJournal of Macromarketing Charles C. Slater Award. For his contributions to theory and science in marketing, he received the 1986 Paul D. Converse Award from the American Marketing Association, the 1987 Outstanding Marketing Educator Award from the Academy of Marketing Science, and the 1992 American Marketing Association/Richard D. Irwin Distinguished Marketing Educator Award.