Buyer-seller relationships in the procurement of logistical services

This study presents a two-phase model of interfirm exchange in the logistical supply industry. The first phase uses transaction cost analysis to identify conditions leading to market-based transactions, unilateral agreements, and bilateral alliances. The second phase illustrates how formal controls and relational norms yield performance in market, unilateral, and bilateral governance systems. A test of the model with data from 189 logistical supply relationships suggests that bilateral alliances emerge through the interaction of user investments in the logistics supplier, supplier logistical services, and marketplace uncertainty. Bilateral alliances attain desired outcomes through participative management and flexibility. By contrast, market-based transactions yield desired outcomes through formalization and solidarity. Unilateral agreements gain performance through formalization, participation, information sharing, and solidarity. Implications for logistics management and theory are discussed. He received his Ph.D. in marketing from the University of Cincinnati. His research interests include relationship marketing and marketing channels. His articles have appeared in theJournal of Retailing, Journal of Personal Selling and Sales Management, Marketing Letters, Omega: The International Journal of Management Science, and elsewhere. She received her Ph.D. from the University of North Carolina, Chapel Hill. Her research has concentrated on business-to-business marketing relationships, with a focus on means to improve coordination, and on sales management, with an emphasis on ways to enhance diversity, improve performance, and reduce turnover. Her articles have appeared in theJournal of Personal Selling and Sales Management, Journal of Business Research, Marketing Letters, Journal of Business-to-Business Marketing, and elsewhere. He is also the director of the Warehousing Research Center (WRC). He received his Ph.D. from Michigan State University. Industrial marketing strategy, marketing and logistics interfaces, logistics and warehousing management are his primary areas of expertise and interest. He has published articles in theJournal of Marketing, Journal of Retailing, Journal of Business Logistics, Industrial Marketing Management, and elsewhere. He has also written a leading industrial marketing text and a variety of warehousing and logistics monographs.     

论乡村旅游的"围城"效应及可持续发展

在乡村旅游如火如荼进行的同时，也面临着诸多尴尬，陷入了其发展的“围城”之中。只有实施低成本运营的制度化、产业链本地化、经营者共生化、投资途径复合化、乡村旅游生态化，才能促进乡村旅游的可持续发展。     

基于城市公交系统的 B2C电子商务物流配送解决方案

随着电子商务的发展，电子商务中的物流管理越来越受到商家的重视。本文结合现阶段中国物流配送行业的状况和城市公交系统的特点，提出了基于城市公交系统的服务于B2C电子商务的第三方物流配送的解决方案。并对该模式下的工作流程、关键问题和该方案的可行性进行了分析。     

The Application of Mathematical Programming Approaches to Estimating Container Port Production Efficiency

Container terminal production is both an important and complicated element in the contemporary global economy. This paper aims to evaluate the efficiency of the world’s most important container ports and terminals using the two alternative techniques of Data Envelopment Analysis (DEA) and the Free Disposal Hull (FDH) model. The results give an insight into the current efficiency ranking of the world’s major container ports and terminals. They also confirm expectations that the available mathematical programming methodologies lead to different results and that appropriate variable definition of input and output factors is a crucial element in meaningful applications of DEA and FDH. It is also concluded that the availability of panel data, rather than cross-sectional data would greatly improve the validity of the efficiency estimates derived from all the mathematical programming techniques applied.JEL Classification:C61, D24, E23, L23, L25, L92     

The effects of group decision-making process and problem-situation complexity on implementation attempts

The effects of group problem-solving method and problem-situation complexity on attempts at implementing group solutions were investigated in a laboratory-field setting. Group members were supervisory nurses from various organizations, who were randomly assigned to three groups in a balanced research design which included three group decision-making processes and three levels of problem-situation complexity in implementation. The dependent variable was the number of attempts at implementing group-derived solutions in home organizations. The results showed that structure in group decision-making processes led to increased rates of implementation attempts at all levels of problem-situation complexity. There was a significant complexity-by-process interaction effect among the decision-making processes, which supports the conclusion that the type of group decision-making process and the problem-situation complexity should be considered in order to optimize the number of implementation attempts.g     

Critical factors in computing externalities for electricity resources

The New York State Environmental Externalities Cost Study and computerized externality model (EXMOD) are used to examine the specification of methods design and application factors in the computation of electricity externalities. We report the sensitivity of externality estimates with alternative specifications for 15 different factors in the analysis, including the selection of facility type, site, and operating characteristics; air emission assumptions and air modeling procedures; dose-response assumptions; economic valuation assumptions; and other modeling procedures and assumptions. Many of the factors that most influence externality computations can be well specified in the analysis, such as the facility type, age, characteristics, emission rates, whether there is SO₂ trading, and the inclusion of long range impacts. Most significant among the factors for which there remains significant scientific uncertainty are the selection and application of air dispersion models, selection of air pollution thresholds for health impacts, reduced life span risks associated with ozone exposure and with long-term exposure to PM₁₀, values for CO₂ damages, and the value to be applied to increased risks of reduced life span for individuals age 65 or older.     

On the real effects of inflation and inflation uncertainty in Mexico

We estimate an augmented multivariate GARCH-M model of inflation and output growth for Mexico at business cycle frequencies. The main findings are: (1) inflation uncertainty has a negative and significant effect on growth; (2) once the effect of inflation uncertainty is accounted for, lagged inflation does not have a direct negative effect on output growth; (3) However as predicted by Friedman and Ball, higher average inflation raises inflation uncertainty, and the overall net effect of average inflation on output growth in Mexico is negative. That is, average inflation is harmful to Mexican growth due to its impact on inflation uncertainty. (4) The Mexican Presidential election cycle significantly raises inflation uncertainty both during the year of the election and the year following the election which has correspondingly negative effects on output growth.     

The impact of capacity expansion on the market value of the firm

This paper empirically investigates the impact of capacity expansion decisions on the market value of the firm. Event study methodology is used to estimate the abnormal change in stock prices around capacity expansion decision announcements. On the day of the announcement, the magnitude of the price change is abnormally high, evidenced by a significantly positive mean standardized square of the abnormal change (Beaver's U-statistic). We also analyze factors that we could affect the direction and magnitude of the abnormal change in the stock prices. We find that the change in price on the day of the announcement is positively and significantly related to the real growth rate of the industry, and negatively and significantly related to the variability of demand. A negative relationship between the price change and industry capacity utilization is also found which can have important implications for companies which follow the wait-and-see approach to capacity expansion decisions. We also find management ownership to be a significant predictor in explaining stock price changes around these announcements.