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.     

The relationship between major-league sports’ official sponsorship announcements and the stock prices of sponsoring firms

This study presents analysis of the impact of “official product” sports sponsorships with the National Football League (NFL), Major League Baseball (MLB), the National Hockey League (NHL), the National Basketball Association (NBA), and the Professional Golfers Association (PGA) on the stock prices of sponsoring firms. The primary finding of the study is that, in the main, announcements were accompanied by increases in shareholder wealth. The 53 sponsors analyzed experienced mean increases in stock valuations of about $257 million. A multiple regression analysis of firm-specific stock price changes and selected corporate and sponsorship attributes indicates that official product sponsorships with the NBA, NHL, and PGA and those with smaller market shares were associated with the largest gains in share prices. Although corporate cashflow (a proxy for agency conflicts) is statistically unrelated to shareholder approval, sponsorships by high-technology companies were associated with stronger stock price reactions than otherwise. Finally, product congruence with the sponsored sport was positively related to changes in stock prices. T. Bettina Cornwell (b.cornwell@business.uq.edu.au) is Professor of Marketing and Leader of the Marketing cluster in the UQ Business School at the University of Queensland, Australia. She was formerly Professor of Marketing in the Fogelman College of Business and Economics at the University of Memphis. She received her Ph.D. from the University of Texas. Her research focuses on promotion and consumer behavior, especially with regard to international and public policy issues. Other articles on the topic of sponsorship-linked marketing have recently appeared in theJournal of Advertising, the Journal of Advertising Research, theJournal of Business Research, andPsychology & Marketing. Stephen W. Pruitt (pruittst@umkc.edu) is the holder of the Arvin Gottlieb/Missouri Endowed Chair of Business Economics and Finance in the Henry W. Bloch School of Business and Public Administration at the University of Missouri-Kansas City. He received his Ph.D. from Florida State University. He has published more than 45 articles, most of which employ event study methodologies, in journals such as theJournal of Finance, theJournal of Political Economy, Financial Management, theJournal of Public Policy and Marketing, and theJournal of Advertising Research. John M. Clark (clarkj@cba.usm.edu) is an assistant professor of finance at the University of Southern Mississippi. He received his Ph.D. from the University of Alabama. His research interests include options and other derivatives, investments, and the impact of real events upon the stock prices of corporations. His work has appeared in scholarly outlets such as theJournal of Advertising Research, theFinancial Review, and theJournal of Business Ethics.     

Export marketing,interfunctional interactions,and performance consequences

Firms with export operations have internal environments that are often geared toward serving the home market. As a result, export marketing and other business functions compete for resources, which thus increases the likelihood of conflict between them. Using survey responses from more than 700 exporting firms, the authors test a model of the antecedents and consequences of two important interaction variables: exporting’s interfunctional connectedness and conflict. The model explains 52 percent and 49 percent of variance in exporting connectedness and conflict, respectively. The authors identify the key drivers of successful interactions as follows: management commitment, organizational training and reward systems, relative functional identification, centralization, and export employee job satisfaction and commitment. The authors also demonstrate that connectedness is most critical for export success when export markets are in a state of turbulence, whereas conflict is most detrimental when the firm’s export environment is stable. John W. Cadogan (j.w.cadogan@lboro.ac.uk), Ph.D., is a professor of marketing in the Business School at Loughborough University, United Kingdom. His primary areas of research interest are international marketing, marketing strategy, and sales management. He has published on these issues in theJournal of International Business Studies, theInternational Journal of Research in Marketing, theJournal of Business Research, Industrial Marketing Management, theEuropean Journal of Marketing, theInternational Marketing Review, theJournal of Marketing Management, theJournal of Strategic Marketing, and other academic journals. He received his degree from the University of Wales (United Kingdom). Sanna Sundqvist (sanna.sundqvist@lut.fi), Ph.D., is a professor in international marketing in the Department of Business Administration at the Lappeenranta University of Technology (Finland). Her research interests deal with the international diffusion of innovations, market orientation (especially in an international context), and consumers’ adoption behavior. She has published in theJournal of Business Research, theInternational Journal of Research in Marketing, theEuropean Journal of Marketing, theCanadian Journal of Administrative Sciences, and theAustralasian Marketing Journal. She received her degree from the Lappeenranta University of Technology, Finland. Risto T. Saiminen (risto.salminen@lut.fi), Ph.D., is a professor of industrial engineering and management, especially marketing, in the Department of Industrial Engineering and Management at Lappeenranta University of Technology, Finland. His primary areas of research interest are customer relationships and networks in business marketing, pedagogy in industrial engineering and management, and international marketing. He has published on these issues in theJournal of Business and Industrial Marketing, theJournal of Marketing Management, theEuropean Journal of Engineering Education, theInternational Journal of Research in Marketing, theEuropean Journal of Marketing, and theAustralasian Marketing Journal. He received his degree from Lappeenranta University of Technology, Finland. Kaisu Puumalainen (kaisu.puumalainen@lut.fi), Ph.D., is a professor in technology research in the Department of Business Administration at Lappeenranta University of Technology, Finland. Her primary areas of research interest are innovation, international marketing, and small businesses. She has published on these issues in theInternational Journal of Research in Marketing, theJournal of Business Research, theEuropean Journal of Marketing, R&D Management, theCanadian Journal of Administrative Sciences, theJournal of International Entrepreneurship, theAustralasian Marketing Journal, and theInternational Journal of Production Economics. She received her degree from the Lappeenranta University of Technology, Finland.     

短期事件对旅游的影响:以中国SARS危机为例

通过回顾近年来世界各国发生的短期危机对旅游产生的影响，重点分析2003年的SARS疫情给中国经济特别是旅游业造成的重大损失，讨论了不同的短期危机对旅游的不同影响以及旅游在危机后的不同恢复时间。旅游业对短期危机缺乏足够的防御能力，但通常能较为迅速的走上复苏之路。在这个过程中，适当的危机管理措施和有效的恢复策略是十分重要和不可或缺的。