Moral hazard and adverse selection in the originate-to-distribute model of bank credit

Bank credit has evolved from the traditional relationship banking model to an originate-to-distribute model. We show that the borrowers whose loans are sold in the secondary market underperform their peers by about 9% per year (risk-adjusted) over the three-year period following the initial sale of their loans. Therefore, either banks are originating and selling loans of lower quality borrowers based on unobservable private information (adverse selection), and/or loan sales lead to diminished bank monitoring that affects borrowers negatively (moral hazard). We propose regulatory restrictions on loan sales, increased disclosure, and a loan trading exchange/clearinghouse as mechanisms to alleviate these problems.     

Let the evidence speak again! Financial incentives are more effective than we thought

In this essay, the authors rejoin the debate about financial incentive effectiveness. They (a) briefly review the state of the literature in 1998, (b) highlight new meta‐analytic findings and update conclusions regarding the financial incentives–performance relationship, (c) address the myth that financial incentives erode intrinsic motivation, (d) provide explanations for the presumed failure of financial incentives and (e) offer some concluding thoughts and suggestions for future research.     

Choice and the Internet: From Clickstream to Research Stream

The authors discuss research progress and future opportunities for modeling consumer choice on the Internet using clickstream data (the electronic records of Internet usage recorded by company web servers and syndicated data services). The authors compare the nature of Internet choice (as captured by clickstream data) with supermarket choice (as captured by UPC scanner panel data), highlighting the differences relevant to choice modelers. Though the application of choice models to clickstream data is relatively new, the authors review existing early work and provide a two-by-two categorization of the applications studied to date (delineating search versus purchase on the one hand and within-site versus across-site choices on the other). The paper offers directions for further research in these areas and discusses additional opportunities afforded by clickstream information, including personalization, data mining, automation, and customer valuation. Notwithstanding the numerous challenges associated with clickstream data research, the authors conclude that the detailed nature of the information tracked about Internet usage and e-commerce transactions presents an enormous opportunity for empirical modelers to enhance the understanding and prediction of choice behavior.     

Customer satisfaction and customer behavior: The differential role of brand and category expectations

Previous research has suggested that consumers use multiple strands to evaluate their satisfaction with a product and to establish postpurchase behavioral intention. However, prior empirical research has focused on which individual standard best predicts satisfaction. In contrast, this article develops and tests a model of consumer satisfaction and postpurchase behavioral intention in which consumers simultaneously use multiple standards—perceptions of performance, brand expectations, and category expectations. The results of an experiment for a simulated service encounter provide support for the proposition that consumers use multiple standards and that these standards have differential effects on such postpurchase outcomes as satisfaction, repurchase intention, and willingness to recommend. Brand expectations are shown to be better predictors of affective outcomes (such as satisfaction), while category expectations are shown to be better predictors of behavioral outcomes (repurchase and recommendation). Consistent with prior research, perceived performance is shown to have a strong effect on both satisfaction and behavioral intention.     

Prospects and problems in modeling group decisions

This paper summarizes some of the major issues related to group decision modeling. We briefly review the existing work on group choice models in marketing and consumer research. We draw some generalizations about which models work well when and use those generalizations to provide guidelines for future research.     

Inter-firm learning and knowledge-sharing in multinational networks: An outsourced organization's perspective

This research provides insights into how learning and knowledge are exchanged multinationally between customer firms and their outsourced suppliers who provide non-core, yet essential, services. The paper seeks to understand: (1) how information is exchanged in these networks; (2) how cumulative knowledge adds value in these networks; and (3) how boundary-spanners assist in the dissemination of knowledge and learning within the network. Based on a pharmaceutical industry case, the results suggest that: (a) multinational firms operate more effectively and interact by sharing knowledge with outsourced firms which reflect the customers' structure and fit; (b) networked firms benefit from interactions through economies of scope, but knowledge is not necessarily shared equally among partners; (c) learning and knowledge-sharing interactions are tightly coupled at the product development stage; and (d) outsourced firms interact with external boundary-spanners as needed. The research provides insights for managers of multinational organizations and managers of firms from where essential services are outsourced.     

Macroeconomic uncertainty,growth and inflation in the Eurozone: a causal approach

In this article, we evaluate the causal relationship between macroeconomic uncertainty indices, inflation and growth rate for 17 Eurozone countries on a county-level examination. In performing a series of linear and nonlinear causality tests, we find little evidence of a causal relationship between uncertainty and macroeconomic variables. Thus, macroeconomic analysis based on uncertainty indices should be treated with caution.     

Exploring pilgrim satisfaction on facilities for religious events: a case of Ratha Yatra at Puri

This article relates to the annual Ratha Yatra festival at Puri, India, and aims at quantifying the pilgrim perception of the event on three major aspects of every facility – adequacy, quality, and signage – to measure their satisfaction. A questionnaire survey (N?=?680) was conducted, from which a five-factor structure was extracted using exploratory principal component analysis, further examined through partial least squares-path modeling. The final model was found to have significant positive effects on three factors that comprised adequacy and quality of physiological needs, quality of ancillary facilities, and signage. The outcome may be utilized in planning other pilgrim events for achieving a higher pilgrim satisfaction score.     

Conceptualizing the Evolution and Future of Advertising

Technology has irreversibly changed the way that firms identify who is more likely to buy, what they are more likely to buy, when they are more likely to buy, why they are likely to buy, and how they are likely to buy, repurchase, and recommend. It is now easier than ever for firms to have a body of evidence in the form of actual insights, as opposed to having mere guestimates, on consumers' apparent intentions to buy. Power dynamics have changed in the marketing climate, and firms have to factor in not only aggressive competitors but also empowered customers with limited attention spans. In such a climate, what lies in the future for advertising? And how can marketing managers make the most of the changing climate and maximize their returns on advertising? How can academics advance research related to maximizing the effectiveness and efficiency of advertising? These are the questions that this article addresses via an integrated framework that expounds all the factors related to customers, firms, technological environment, and data resources, as well as the contextual factors, including product life cycle, customer life cycle, and so on, and their collective impact on advertising strategy, which includes advertising content, media selection, message, and targeting.     

The effectiveness of government spending on education and health care in developing and transition economies

Recent studies show that corruption is associated with higher military spending [Eur. J. Polit. Econ. 17 (2001) 794] and lower government spending on education and health care [J. Publ. Econ. 69 (1998) 263]. This suggests that policies aimed at reducing corruption may lead to changes in the composition of government outlays toward more productive spending. However, little empirical evidence has been presented to support the claim that public spending improves education and health indicators in developing and transition countries. This paper uses cross-sectional data for 50 such countries to show that increased public expenditure on education and health care is associated with improvements in both access to and attainment in schools, and reduces mortality rates for infants and children. The education regressions are robust to different specifications, but the relationship between health care spending and mortality rates is weaker.