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Edited by Naresh K. Malhotra, this volume of Review of Marketing Research delivers a high powered range of articles from leading researchers and universities. The issue provides insights of interest to marketers throughout the discipline. Topics covered include a critical review on consumer experience and experimental marketing, designing and pricing digital content products/ services and nation equity. Authors include senior Chaired professors from such prestigious institutions as Wharton and Columbia. This volume adds to the already formidable body of knowledge built up by this highly respected book series.

"This volume provides case studies, analysis and frameworks, reviews key studies and techniques, offers theoretical explanations, identifies unanswered questions and research opportunities, and discusses significant managerial and policy implications as well as incorporating insights from literatures across the disciplines of marketing, management and psychology in an integrative manner. It substantially aids efforts to understand, model, and make predictions about both the firm and the consumer and provide fertile areas for future research. Topics examined in details include: a significant content analysis of publications in all the top marketing journals over an extended period of 25 years revealing the leading authors, institutions and topics; an integrative conceptualization of how firms set and alter strategic goals; the problems that firms confront when introducing an Internet channel; referral equity that captures the net effect of all referrals for a supplier firm in the market; research on the question-behavior effect (QBE), the phenomenon that asking questions influences respondents' behavior; techniques for modelling heterogeneous data in partial least squares (PLS)."

ABSTRACTThe objective of this study is to provide insights into how the predictive power for computer‐recorded system usage can be improved. Based on 386 responses from actual users of an information system, we examine the predictive power for system usage according to the scales of the predictors used, namely, intention and past use. First, we show that the predictive power of intention can be significantly improved with the choice of an appropriate measure. However, even the desirable intention measure failed to explain two‐thirds of the variance in system usage. Second, the results show that past use as measured by computer‐recorded log data can significantly enhance our ability to predict system usage. Finally, when both intention and past use are controlled for, the explained variance in system usage is shown to vary widely from 20% to 73%, depending on the predictors' scales. Overall, our findings suggest that an accurate prediction of system usage requires a more rigorous approach than that often applied in information systems research.

ABSTRACTThis research explores the determinants of the probability of having credit debt, as well as the determinants of the severity of credit card debt. Credit card debt includes revolving credit debt and petty installment loan. The severity of credit card debt was measured by the duration of revolving credit debt and the amount of petty installment loans. Analysis of behavioral data from a Chinese commercial bank showed a significant difference between the determinants of the probability of having credit card debt and the determinants of the severity of credit card debt. Specifically, credit limit, gender, length of ownership of a credit card, and the total credit card expenditure were closely related to the likelihood of having revolving credit debt and to the duration of revolving credit debt. However, age, the square of age, credit ranking, and risk ranking were significantly correlated with the likelihood of having revolving credit debt rather than the duration of revolving credit debt. Credit card balance had a special influence on the duration of revolving credit debt. Compared with revolving credit debt, petty installment loan had few significantly related factors. Both age and the square of age could significantly predict both the likelihood of having petty installment loan and amount of petty installment loan. Credit ranking, risk ranking, and gender predicted the likelihood of having petty installment loan but did not correlate with the amount of petty installment loan. The frequency of petty installment use was closely related to the amount of petty installment loan. Copyright © 2014 John Wiley & Sons, Ltd.

This volume includes the full proceedings from the 1985 Academy of Marketing Science (AMS) Annual Conference held in Miami Beach, Florida. It provides a variety of quality research in the fields of marketing theory and practice in areas such as consumer behaviour, marketing management, marketing education, and international marketing, among others. Founded in 1971, the Academy of Marketing Science is an international organization dedicated to promoting timely explorations of phenomena related to the science of marketing in theory, research, and practice. Among its services to members and the community at large, the Academy offers conferences, congresses and symposia that attract delegates from around the world. Presentations from these events are published in this Proceedings series, which offers a comprehensive archive of volumes reflecting the evolution of the field. Volumes deliver cutting-edge research and insights, complimenting the Academy?s flagship journals, the Journal of the Academy of Marketing Science (JAMS) and AMS Review. Volumes are edited by leading scholars and practitioners across a wide range of subject areas in marketing science.