Creating new knowledge depends on data, it depends on theory, and in some ways, it depends on both together. With the explosion of data today, it's difficult to know where to begin. Do you start with data? Do you begin with theory? Or do you use them in some way that's interchangeable?

Join host Girish Mallapragada, Associate Professor of Marketing at Indiana University, for a discussion about data, theory, and how they come together to form new knowledge. He interviews special guests Peter Golder (Professor of Marketing, Dartmouth College), Johannes Boegershausen (Assistant Professor of Marketing, Erasmus University), and Isaac Dinner (Director of Econometric Modeling, indeed.com).

The studies discussed include:

Peter N. Golder, Marnik G. Dekimpe, Jake T. An, Harald J. van Heerde, Darren S. U. Kim, and Joseph W. Alba, “Learning from Data: An Empirics-First Approach to Relevant Knowledge Generation,” Journal of Marketing. doi:10.1177/00222429221129200. (Read an in-depth summary of this research here: https://www.ama.org/2022/11/01/empirics-or-theory-first-a-case-for-an-empirics-first-approach-that-develops-marketing-relevant-insights-from-real-world-problems/)

Johannes Boegershausen, Hannes Datta, Abhishek Borah, and Andrew T. Stephen, “Fields of Gold: Scraping Web Data for Marketing Insights,” Journal of Marketing. doi:10.1177/00222429221100750 (Read an in-depth summary of this research here: https://www.ama.org/2022/06/01/fields-of-gold-scraping-web-data-for-marketing-insights/)

Host: Girish Mallapragada

Topics: data, theory, marketing research, marketing, academic research, web scraping, data scraping, empirical research, marketing theory, research methods, API, user-generated content, social media, big data

The JM Buzz Podcast is a production of the American Marketing Association's Journal of Marketing and is produced by University FM