Journal of Marketing News, June 2022
Introduction
A Webinar on Web Scraping and more
POSTING TYPE: Journal News
Author: Christine Moorman
the Journal of Marketing, Volume 86, Issue 4 – July
Isabel Eichinger, Martin Schreier, and Stijn M.J. van Osselaer
Pankhuri Malhotra and Siddhartha Bhattacharyya
Yi Yang, Kunpeng Zhang, and P.K. Kannan
Lingrui Zhou, Katherine M. Du, and Keisha M. Cutright
Abhi Bhattacharya, Neil A. Morgan, and Lopo L. Rego
Thomas P. Scholdra, Julian R.K. Wichmann, Maik Eisenbeiss, and Werner J. Reinartz
Vilma Todri, Panagiotis (Panos) Adamopoulos, and Michelle Andrews
Stephan Ludwig, Dennis Herhausen, Dhruv Grewal, Liliana Bove, Sabine Benoit, Ko de Ruyter, and Peter Urwin
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Recently Accepted Papers Forthcoming in the Journal of Marketing: for a full list
Maren Becker, Thomas P. Scholdra, Manuel Berkmann, and Werner J. Reinartz
Fine F. Leung, Flora F. Gu, Yiwei Li, Jonathan Z. Zhang, and Robert W. Palmatier
Johannes Boegershausen, Hannes Datta, Abhishek Borah, and Andrew T. Stephen
Giuseppe Musarra, Matthew J. Robson, and Constantine S. Katsikeas
Jinjie Chen, Alison Jing Xu, Maria A. Rodas, and Xuefeng Liu
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Register to attend the next Journal of Marketing Webinar: June 23, 2022 from 12-1PM Eastern
Fields of Gold: Scraping Web Data for Marketing Insights
Marketing scholars increasingly use web scraping and Application Programming Interfaces (APIs) to collect data from the internet. Yet, despite the widespread use of such web data, the idiosyncratic and sometimes insidious challenges in its collection have received limited attention. How can researchers ensure that the datasets generated via web scraping and APIs are valid? While existing resources emphasize technical details of extracting web data, the authors, (Erasmus University), (Tilburg University, (INSEAD), and (University of Oxford), propose a novel methodological framework focused on enhancing its validity. In particular, the framework highlights how addressing validity concerns requires the joint consideration of idiosyncratic technical and legal/ethical questions along the three stages of collecting web data: selecting data sources, designing the data collection, and extracting the data.
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