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About Our Authors

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International Transactions in Operational ResearchVolume 11, Issue 3 p. 361-364 Free Access IFORS' Operational Research Hall of Fame John D. C. Little Richard C. Larson, Richard C. LarsonSearch for more papers by this author Richard C. Larson, Richard C. LarsonSearch for more papers by this author First published: 05 May 2004 https://doi.org/10.1111/j.1475-3995.2004.00463.xCitations: 1AboutPDF ToolsRequest permissionExport citationAdd to favoritesTrack citation ShareShare Give accessShare full text accessShare full-text accessPlease review our Terms and Conditions of Use and check box below to share full-text version of article.I have read and accept the Wiley Online Library Terms and Conditions of UseShareable LinkUse the link below to share a full-text version of this article with your friends and colleagues. Learn more.Copy URL Share a linkShare onFacebookTwitterLinkedInRedditWechat Selected original works Little, J.D.C., 1961. A Proof for the Queuing Formula: L=λW. Operations Research, 9, 383– 7. Little, J.D.C., Murty, K.G., Sweeney, D.W., Karel, C., 1963. An Algorithm for the Traveling Salesman Problem. Operations Research, 11, 972– 89. Little, J.D.C., 1966. The Synchronization of Traffic Signals by Mixed-Integer Linear Programming. Operations Research, 14, 568– 94. Little, J.D.C., 1966. A Model of Adaptive Control of Promotional Spending. Operations Research, 14, 1075– 98. Little, J.D.C., Lodish, L., 1969. A Media Planning Calculus. Operations Research, 17, 1– 35. Little, J.D.C., 1970. Managers and Models: The Concept of a Decision Calculus. Management Science, 16, B466– 85. Little, J.D.C., 1979. Decision Support Systems for Marketing Managers. Journal of Marketing, 43(3), 9– 26. Little, J.D.C., Cohen, S., 1982. The MAXBAND Program for Arterial Signal Timing Plans. Public Roads, 46(2), 61– 5. Guadagni, P.M., Little, L.D.C., 1983. A Logit Model of Brand Choice Calibrated on Scanner Data. Marketing Science, 2, 203–238. Little, J.D.C., 1998. Integrated Measures of Sales, Merchandising, and Distribution. International Journal of Research in Marketing, 15, 473– 85. Little, J.D.C., 2002. Philip M. Morse and the Beginnings. Operations Research, 50, 146– 8. Citing Literature Volume11, Issue3May 2004Pages 361-364 ReferencesRelatedInformation

Recent advances in data collection and data storage techniques enable marketing researchers to study the characteristics of many actual transactions and purchases, that is, revealed preference data. Owing to the large number of observations and the wealth of available information, a detailed analysis of these data is possible. This analysis usually addresses the effects of marketing instruments and the effects of household-specific characteristics on the transaction. Quantitative models are useful tools for this analysis. In this book we review several such models for revealed preference data. In this chapter we give a general introduction and provide brief introductions to the various chapters. Introduction It is the aim of this book to present various important and practically relevant quantitative models, which can be used in present-day marketing research. The reader of this book should become able to apply these methods in practice, as we provide the data which we use in the various illustrations and we also add the relevant computer code for EViews if it is not already included in version 3.1. Other statistical packages that include estimation routines for some of the reviewed models are, for example, LIMDEP, SPSS and SAS. Next, the reader should come to understand (the flavor of) the latest methodological developments as these are put forward in articles in, for example, Marketing Science , the Journal of Marketing Research , the Journal of Consumer Research and the International Journal of Research in Marketing . For that matter, we also discuss interesting new developments in the relevant sections. The contents of this book originate from lecture notes prepared for undergraduate and graduate students in Marketing Research and in Econometrics.

PurposeThe purpose of this paper is to highlight the role of replications for science, and in particular the knowledge development process.Design/methodology/approachDescriptive research on the disclosure of sample parameters which are needed for replication was conducted. The analysis includes 2,982 studies from four top-tier marketing journals.FindingsPublished parameters are insufficient for replication and, therefore, impede knowledge development.Originality/valueThe paper offers a unique data set for further investigation. In total, 2,982 studies from the defined journals (Journal of Consumer Research, Journal of Marketing, Journal of Marketing ResearchandMarketing Science) were analyzed. Hereby this paper enables insights into reporting practices of current marketing research and highlights the role of replication research in validating earlier research. It empirically shows, to the authors' best knowledge for the first time, that the insufficient reporting is one of the major reasons for the lack of replications.

Bither, Stewart W. (1977), Resistance to Persuasion: Inoculation and Distraction, in Consumer and Industrial Buying Behavior, eds. Arch Woodside, Jagdish Sheth, and Peter Bennett, New York: North-Holland, pp. 243-50. , Dolich, Ira, and Nell, Elaine (1971), The Application of Attitude Immunization Techniques in Journal of Marketing Research, 8, 56-61. Hovland, Carl, Lumsdaine, A. A., and Sheffield, F. D. (1949), Experiments on Mass Communication, Princeton, NJ: Princeton University Press. Jacoby, Jacob, Speller, Donald E., and Kohn, Carol A. (1974), Brand Choice Behavior as a Function of Information Load, Journal of Marketing Research, 11, 63-70. Mazis, Michael (1977), Theoretical and Empirical Examination of Comparative Advertising, working paper, Department of Marketing, University of Florida. McGuire, William (1961), The Effectiveness of Supportive and Refutational Defenses in Immunizing and Restoring Beliefs Against Persuasion, Sociometry, 24, 184-97. Morrison, Donald (1967), Statistical Methods, New York: McGraw-Hill. Peter, John, and Tarpey, Lawrence (1975), Comparative Analysis of Three Consumer Decision Strategies, Journal of Consumer Research, 2, 29-37. Prasad, V. Kanti (1976), Communications-Effectiveness of Comparative Advertising: A Laboratory Journal of Marketing Research, 13, 128-37. Rosenberg, Milton J., Hovland, Carl I., McGuire, William J., Abelson, Robert P., and Brehm, Jack W. (1960), Attitude Organization and Change: An Analysis of Consistency Among Attitude Components, New Haven, CT: Yale University Press. Roy, S. N. (1957), Some Aspects of Analysis, New York: John Wiley & Sons. Szybillo, George, and Heslin, Richard (1973), Resistance to Persuasion: Inoculation Theory in a Marketing Context, Journal of Marketing Research, 10, 396-403. Wilkie, William, and Farris, Paul (1975), Comparison Advertising: Problems and Potential, Journal of Marketing, 39, 7-15. Wind, Yoram, and Denny, Joseph (1974), Multivariate Analysis of Variance in Research on the Effectiveness of TV Commercials, Journal of Marketing Research, 11, 136-42.

Empirical work on the causes and effects of inventive activity has had difficulty in finding measures that can indicate when and where changes in either inventive inputs or inventive output have occurred. The recent computerization of the U.S. Patent Office's data base may prove helpful in this context, but there is the problem that a priori we do not know the relationships between patent applications and economically meaningful measures of these inputs and outputs. To help solve this problem, this paper investigates the dynamic relationships among the number of successful patent applications of firms, a measure of the firm's investment in inventive activity (its R & D expenditures),\tand an indicator of its inventive output (the stock market value of the firm).

The effect of Entrepreneurial Orientation Market Orientation, Marketing Capabilities on Firm Performance of entrepreneurs in the Northeastern region of Thailand

This article studies the research productivity of scholars and institutional departments in the field of marketing, by examining data of published articles in four premier marketing journals (Journal of Consumer Research, Journal of Marketing, Journal of Marketing Research and Marketing Science) from 2010 to 2019. Two different metrics are used to evaluate scholar productivity: the total count of publications and a fractional publication score which considers the number of authors in an article. Using these same metrics, research productivity of higher institution marketing departments around the world is also measured. Adapting the methodology used in previous studies, we provide a snapshot of today’s most productive marketing scholars and marketing departments. Our findings may help academics with major professional decisions like admission choices in a doctoral program, Ph.D. advisor selection, career choices, job placement, promotion, potential collaboration ideas and mobility issues. Interestingly, we find the size of marketing faculty in our top schools has only a moderate effect on their research productivity.

Diversity among procedures employed to examine marketing activity enhances the likelihood that research contributes to theory and practice. This study provides a conceptual framework of diversity among strategies, measures, and methods employed in marketing research. The framework serves as the basis of a review of 844 studies published in 1986-90 and 1996-2000 in the Journal of Marketing and Journal of Marketing Research. The review offers evidence of limited diversity among procedures employed in marketing research. Limited diversity results in few opportunities to engage in triangulation activities essential to knowledge development. The study concludes with a discussion of the implications for marketing research.

About the Authors

This article discusses how Journal of Marketing ( JM) has influenced marketing science and practice by publishing articles on substantive topics relevant to customers, managers, organizations, markets, and society. The journal's 75th anniversary coincides with the 50th anniversary of the Marketing Science Institute (MSI). Frequently, JM and MSI have collaborated to address important substantive marketing issues identified in MSI's Research Priorities. The author highlights seminal articles on brand equity; business-to-business marketing (including sales force management); connecting marketing information, metrics, and strategy; consumer behavior; innovation, new product development. and product management; marketing orientation and capabilities; and market research, methodology and services. She also draws attention to articles that have won the Sheth Foundation/ JM Award and the H. Paul Root Award. The article describes how JM‘s knowledge dissemination is amplified by powerful social network effects. Ideas in JM articles diffuse through the business community, influencing the mind-set of managers worldwide.

Learning from the past can help increase our chances for success in the future. Savitt (Journal of Marketing 44:52–85, 1980) believes that marketing scholars have not paid sufficient attention to our history, and this is important for social marketing. There are many benefits to be gained from examining our history. In this chapter, we provide a brief history of social marketing, to help us understand where we have been, how we got here, and to orient our social marketing practice for the future. There are several specific benefits of reviewing our history. First, understanding the history of social marketing helps delimit the concept and scope of the enterprise. Historical analysis illuminates the use of technical terms and identifies the boundaries of its application. Therefore, a review of history strengthens our general understanding of the field. Second, the study of our history facilitates informed discussions, critical reflections, and analytical thought that the development of any discipline needs (Domegan in Journal of Historical Research in Marketing 2:457–466, 2010). That is, history is a vehicle for diagnosing the current context and understanding changes with the aim of imbuing our potential praxis with meaning. Third, as long as we learn from experience, the past can provide a source of wisdom and good sense. As a result, this can help us improve social marketing tools’ efficacy and efficiency in future endeavors. Though our history may not progress linearly, advances are unlikely if they are not based on a firm knowledge of where we have been. An understanding of our history allows us to of bridge the past, present, and future (Domegan in Journal of Historical Research in Marketing 2:457–466, 2010).