Journal of Marketing News, April 2022

Introduction

April updates from JM

POSTING TYPE: Journal News

Author: Christine Moorman

the Journal of Marketing, Volume 86, Issue 3 – May


Avi Goldfarb, Catherine Tucker, and Yanwen Wang


Youngju Kim, SunAh Kim, and Neeraj Arora


Benedikt Schnurr, Christoph Fuchs, Elisa Maira, Stefano Puntoni, Martin Schreier, and Stijn M. J. van Osselaer


B.J. Allen, Richard T. Gretz, Mark B. Houston, and Suman Basuroy


Gautham G. Vadakkepatt, Sandeep Arora, Kelly D. Martin, and Neeru Paharia


Vladimir Melnyk, François A. Carrillat, and Valentyna Melnyk


Tim Hill, Robin Canniford, and Giana M. Eckhardt


Franklin Shaddy and Anuj K. Shah


Nathalie Harz, Sebastian Hohenberg, Christian Homburg

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Recently Accepted Papers Forthcoming in the Journal of Marketing: for a full list


Jan B. Heide, Simon J. Bell and Paul Tracey


Pierre-Yann Dolbec, Zeynep Arsel, and Aya Aboelenien


Stijn Maesen and Lien Lamey


Craig J. Thompson and Ankita Kumar


Pankhuri Malhotra and Siddhartha Bhattacharyya


Phyllis Xue Wang, Yijie Wang, and Yuwei Jiang


Pragya Mathur, Malika Malika, Nidhi Agrawal, and Durairaj Maheswaran


Filippo Dall’Olio and Demetrios Vakratsas

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Register to attend the next Journal of Marketing Webinar: May 17, 2022 from 1-2PM Eastern

How to Conduct Marketing Research with Quasi-Experiments

Quasi-experimental methods have been widely applied in marketing to explain changes in consumer behavior, firm behavior, and market-level outcomes. The purpose of these methods is to determine the presence of a causal relationship in the absence of experimental variation. A new in the Journal of Marketing by Goldfarb, Tucker, and Wang offers guidance on how to successfully conduct research in marketing with quasi-experiments and this webinar will offer insights on key topics important to their use.

This webinar, featuring Avi Goldfarb (University of Toronto) and Yanwen Wang (University of British Columbia) will examine the use and usefulness of quasi-experimental methods for marketing by identifying the marketing settings and data where quasi-experimental methods are useful. It will then outline how to structure an empirical strategy that allows researchers or analysts to identify a causal relationship between a marketing action and an outcome using methods such as difference-in-differences, regression discontinuity, instrumental variables, propensity score matching, synthetic control, and selection bias correction. The importance of understanding and communicating the assumptions underlying the assertion of causality and establishing the generalizability of the findings will also be discussed. Finally, the webinar will explore how identification of the behavioral mechanism—whether individual, organizational, or market-level—can reinforce arguments of causality.

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Celebrate our Journal of Marketing 2022 Outstanding Reviewers

Winners were chosen on the basis of review workload, constructiveness, thoroughness, and timeliness. The Editors thank the winners for their service to the Journal of Marketing and for their commitment to developing authors and advancing marketing knowledge.

Simon Bell, University of Melbourne | Australia
Anindita Chakravarty​, University of Georgia | United States
Sandeep Chandukala, Singapore Management University | Singapore
Darren Dahl, University of British Columbia | Canada
Barbara Deleersnyder, Tilburg University | The Netherlands
Beth Fossen, Indiana University | United States
Amir Grinstein, Northeastern University | United States
Flora Gu, Hong Kong Polytechnic University | Hong Kong
Mark Houston, Texas Christian University | United States
Satish Jayachandran, University of South Carolina | United States
Shiri Melumad, University of Pennsylvania | United States
Martin Mende, Florida State University | United States
Nailya Ordabayeva, Boston College | United States
Neeru Paharia, Georgetown University | United States
Bernd Skiera, Goethe University | Germany
Jan Wieseke, Ruhr-University of Bochum | Germany

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Journal of Marketing Articles in the News

Marketing.ie, “,” based on by Lingrui Zhou, Katherine M. Du, and Keisha M. Cutright

Harvard Business Review, “,” based on by Yong-Chin Tan, Sandeep R. Chandukala, and Srinivas K. Reddy

RetailWire, “” based on by Lei Jia, Xiaojing Yang, and Yuwei Jiang

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