Sustainability and consumption

We consider the implications of the three pillars of sustainability (environment, economy and social justice) on consumption in a wealthy country. Building a theoretical model that includes consumers, business, government, the environment, and economic and political relations between nations, we explore how sustainability should affect the consumption behavior of consumers, charitable aid to poorer countries, and responsible environmental practices by businesses. Our model enables us to provide normative implications for consumers, society and business. Importantly, we assume that all stakeholders will optimize their self-interest, and that altruism will only partly explain behavior consistent with sustainability. Among the more non-obvious findings are that (1) the poorer the poor countries are, the less the rich countries should consume, (2) the more sensitive the global political climate is to economic inequity between the rich and poor nations, the less the rich countries should consume, and (3) if aid to poor countries is effective enough, then the more materialistic the society is, the more charitable aid it should give. We also confirm a number of more intuitive findings, such as that business should use more green technology as the taxes on pollution and/or efficiency of green technology increase, and the more resource-intensive consumption is, the less consumers should consume. Taken as a whole, the findings imply that societal consumption patterns should be sensitive to aspects of environmental impact and social justice, even if altruistic motivations are absent.     

Intercultural Competency Development in Conjunction With a Short Term Study Away Experience： Changes in Undergraduate Students

The purpose of this research was to examine whether undergraduate business students who participated in a short term study abroad course and intercultural competence building coursework demonstrated a significant increase in intercultural competence over those who only enrolled in the study abroad course. The 20 participants attended a small liberal arts College in Midwestern United States. The Intercultural Development Inventory （IDI） was administered to the participating students before and after their study away experience. The IDI （v.3） is based on the theoretical framework of the Developmental Model of Intercultural Sensitivity （DMIS） introduced by Milton Bennett. The DMIS is based on the assumption that intercultural competence can be strengthen through the development of intercultural knowledge and experience with people from other cultures. The IDI has been used in numerous scholarly studies and has demonstrated valid and reliable results. It is a self-administered 50-item series of statements in which participants are asked to rate the level of their agreement with statements that address their relationship to and evaluation of cultural difference. In the model, people progress in a linear developmental fashion through six stages： defense, denial, polarization, minimization, acceptance, and adaptation. This study was designed to determine if students who studied away and completed intercultural coursework （prior intercultural knowledge and an intercultural experience） would increase their level of intercultural competency more than those students who just studied away （intercultural experience only） as measured by the change in their IDI scores. The results of this small sample show that intercultural coursework in conjunction with a short term study away experience can have a positive impact on individual intercultural development.     

高效率并不意味高利润

正服务业企业的生产率与利润率之间,呈现一种"倒U型"关系,存在一个最优的生产率水平。对服务业企业而言,与其把生产率作为最大化的目标来对待,不如当作战略决策变量,即选择最合适的生产率,从而最大化利润率     

Is econometrics useful for private policy making? A case study of replacement policy at an auto rental company

The goal of this paper is to illustrate the potential usefulness of econometrics as a tool to assist private policy makers. We provide a case study and detailed econometric analysis of the automobile replacement policy adopted by a large car rental company. Unlike public policy making–where the benefits from using econometric models and “science-based” approaches to policy making are hard to quantify because the outcomes of interest are typically subjective quantities such as “social welfare”–in the case of firms there is an objective, easily quantifiable criterion for judging whether policy A is better than policy B: profits. We introduce and estimate an econometric model of the rental histories of individual cars in the company’s fleet. Via stochastic simulations, we show that the model provides a good approximation to the company’s actual operations. In particular, the econometric model is able to reproduce the extraordinarily high rates of return that the company obtains on its rental cars, with average internal rates of return between purchase and sale of approximately 50%. However, the econometric model can simulate outcomes under a range of counterfactual vehicle replacement policies. We use the econometric model to simulate the profitability of an alternative replacement policy under pessimistic assumptions about the rate maintenance costs would increase and rental rates would have to be decreased if the company were to keep its rental cars longer than it does under the status quo. Depending on the vehicle type, we find that the company’s expected discounted profits would be between 6% to over 140% higher under the suggested alternative operating strategy where vehicles are kept longer and rental rates of older vehicles are discounted to induce customers to rent them. The company found this analysis to be sufficiently convincing that it undertook an experiment to verify the predictions of the econometric model.     

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.     

Viewer Preference Segmentation and Viewing Choice Models for Network Television

Abstract

Individual viewing decisions have a direct impact on the media planning of television advertisers and, consequently, on the revenues of the major television networks. This paper represents an attempt to better understand these decisions. We use Nielsen people meter data to build a perceptual space for programs. That space is then used to develop models explaining viewers' decision to watch television and their choice of programming. The program-choice model is a clusterwise logit model which searches for segments with similar viewing preferences. A segment-level logit model is then used to model the on-off decision. These models can be used by advertisers and advertising agencies to understand the viewing audience better, and thus to help guide their advertising media placement decisions. The models can also help television networks design programs and program schedules that are more attractive to viewers (and thus advertisers).