Motivations and barriers of foreign R&D activities in China

The continued growth of the Chinese economy accompanied with the expansion of international investment in China has led to an increase in foreign research and development (R&D) activities in the country. Aside from the rising importance of R&D internationalization, research on foreign R&D in China has been neglected in the past due to its emerging status. In this article we examine drivers and barriers for conducting R&D in China. The focus of our research is on transnational companies typically characterized by decentralized R&D activities. Our research is mainly based on qualitative interviews with senior R&D managers. The success of foreign R&D activities in China strongly depends on the realistic estimation of its advantages and the proper identification and handling of barriers.     

Reviewing Oates' insights in a repeated game setting

This paper analyzes the optimal assignment of public good policies to layers of a federal system in a repeated game setting. Under a centralized regime, public goods are financed jointly across regions, and a federal legislature decides on the regional quantities. Under a decentralized regime, public goods are financed locally, and governments play a non-cooperative provision game. We find that a centralized (decentralized) regime is more likely to provide the efficient public good policies in case spillovers are small (large). Received: September 2003, Accepted: October 2004 JEL Classification: H11, H41 I wish to thank Clemens Fuest, Anke Kessler, Christoph Lülfesmann, and an anonymous referee for valuable comments on this paper. Financial support by the DFG (SPP 1142) is gratefully acknowledged.     

Entry and Exchanges of Cost Information

The literature on exchanges of information has ignored firms' entry decisions. Yet, the Federal Trade Commission recently expressed concerns that exchanges of information in business-to-business electronic platforms would adversely impact entry and, thus, consumers. When entry decisions are endogenized in a competitive Cournot model with cost uncertainty, we find results that contrast sharply with current thinking on the welfare consequences of information sharing.     

Designing trust

The decision making process in technological development, with its underlying suppositions of certainty and controllability, contributes to fomenting social resistance to technology rather than trust among social actors. Those underlying suppositions are in disaccord with values and world views expressed by the new social movements. These movements, which form part of today’s civil society and are critical of many modern technologies, tend to hold an implicit view of technology as a social experiment under uncertainty. The tendency of the current design activity of basing design decisions on criteria, like engineering efficiency, defined as objective, is contributing to this lack of trust in the very process of decision making, which many social actors are currently demonstrating. Technology, however, depends on sustained public trust. Future technology design has therefore to take into account, as one of its basic functions, the creation of trust among actors.     

The EC‐LQO five‐factor framework: An alternative lens for business model innovation in highly knowledge‐intensive industries

Growing technological complexity continues to drive firms to interact with the external innovation environment to achieve firm success. However, industries' complexities and the business model concept's underlying ontology have limited research on modeling the key factors that enable this interface. In this study, results of an empirical analysis of a unique dataset of 102 biopharmaceutical companies broadly support the EC‐LQO five‐factor framework as a useful tool to guide business model innovation for highly knowledge‐intensive environments.     

Should we delight the customer?

Critics have suggested that delighting the customer “raises the bar” of customer expectations, making it more difficult to satisfy the customer in the next purchase cycle and hurting the firm in the long run. The authors explore this issue by using a mathematical model of delight, based on assumptions gathered from the customer satisfaction literature. Although delighting the customer heightens repurchase expectations and makes satisfying the customer more difficult in the future, and the delighting firm is injured by raised customer expectations, the (nondelighting) competition is hurt worse through customer attrition to the delighting firm. If customers forget delighting incidents to some degree from occasion to occasion, the delighting firm suffers if it is in a position to take customers from the competition. If taking customers from the competition is difficult, the delighting firm actually benefits from customer forgetting, because the same delighting experience can be repeated again, with the same effect. Roland T. Rust (Ph.D., University of North Carolina at Chapel Hill) is the Madison S. Wigginton Professor of Management and Director of the Center for Service Marketing at the Owen Graduate School of Management at Vanderbilt University. His publication record includes more than 60 journal articles and five books. His 1997Marketing Science article, “Customer Satisfaction, Productivity, and Profitability: Differences Between Goods and Services,” won the Best Services Article Award from the American marketing Association, for the best services article in any journal, and his 1995 article, “Return on Quality (ROQ): Making Service Quality Financially Accountable,” won theJournal of Marketing's Alpha Kappa Psi Award for the article with the greatest impact on marketing practice. He has also won best article awards from theJournal of Advertising and theJournal of Retailing. His honors include career achievement awards from the American Statistical Association and the American Academy of Advertising, as well as the Henry Latané Distinguished Doctoral Alumnus Award from the University of North Carolina at Chapel Hill. His work has been covered widely in the media and has resulted in aBusiness Week cover story and an appearance onABC World News Tonight with Peter Jennings. He is the founder and chair of the American Marketing Association (AMA) Frontiers in Services Conference and serves as founding editor of theJournal of Service Research. He also serves on the editorial review boards of theJournal of Marketing Research, Journal of Marketing, andMarketing Science. Richard L. Oliver (Ph.D., University of Wisconsin, Madison) is the Valere Blair Potter Professor of Management at the Owen Graduate School of Management, Vanderbilt, University. His research interests include consumer psychology with a special focus on customer satisfaction and postpurchase processes. He holds the position of Fellow of the American Psychological Association for his extensive writings on the psychology of the satisfaction response. He is the author ofSatisfaction: A Behavioral Perspective on the Consumer (Irwin/McGraw-Hill) and coeditor ofService Quality: New Directions in Theory and Practice (Sage). He previously served on the boards of theJournal of Consumer Research, theJournal of Marketing, theJournal of Personal Selling & Sales Management, and theJournal of Retailing and has published articles in theJournal of Consumer Research, theJournal of Marketing Research, theJournal of Marketing, theJournal of Applied Psychology, Psychology & Marketing, Behavioral Science, theJournal of Economic Psychology, Applied Psychological Measurement, Psychometrika, Organizational Behavior and Human Decision Processes, Advances in Consumer Research, theJournal of Retailing, theJournal of Personal Selling & Sales Management, theJournal of Consumer Satisfaction/Dissatisfaction & Complaining Behavior, theJournal of Advertising, theJournal of Consumer Affairs, and others. He previously taught at the Wharton School, University of Pennsylvania, and at Washington University in St. Louis.     

Investment planning under uncertainty and flexibility: the case of a purchasable sales contract*

Investment decisions are not only characterised by irreversibility and uncertainty but also by flexibility with regard to the timing of the investment. This paper describes how stochastic simulation can be successfully integrated into a backward recursive programming approach in the context of flexible investment planning. We apply this hybrid approach to a marketing question from primary production which can be viewed as an investment problem: should grain farmers purchase sales contracts which guarantee fixed product prices over the next 10 years? The model results support the conclusion from dynamic investment theory that it is essential to take simultaneously account of uncertainty and flexibility.