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Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior

Author

Listed:
  • Oliver Hinz

    (Goethe University Frankfurt, Faculty of Economics and Business, 60323 Frankfurt am Main, Germany)

  • Shawndra Hill

    (Columbia University, Columbia Business School, Marketing Division, New York, New York 10027)

  • Amit Sharma

    (Microsoft Research India, Bangalore, Karnataka 560001, India)

Abstract

The practice of using a “second screen” while concurrently watching television (TV) has become a widespread phenomenon. Whereas work on multitasking suggests that TV consumption may lead to lower online sales, research in the area of impulse buying suggests the opposite. In this paper, we study the impact of concurrent TV consumption on online shopping behavior and try to understand this conflict. Our first study analyzes the impact of TV consumption on online shopping behavior at the aggregate level using a panel of 100,000 U.S. customers over a period of 24 months. We address potential endogeneity problems with an instrumental variable approach. Our second study proposes a novel approach to realizing individual-level analysis over thousands of consumers and products. Examining massive amounts of data, we identify a sample of consumers who watched a certain TV show and who were simultaneously doing online shopping at Amazon.com. We then compare their shopping behavior on the day of the TV show to their shopping behavior one week prior. Both studies reveal that whereas TV consumption is correlated with a higher likelihood of online shopping in general, the causal effect of TV watching differs with respect to the complexity of the products purchased. If a TV program appeals to a large TV audience, then this results in fewer immediate sales of high-complexity products (1% increase in TV consumption leads to −2.2% sales) and more sales of low-complexity products (1% increase in TV consumption leads to +8.8% sales).

Suggested Citation

  • Oliver Hinz & Shawndra Hill & Amit Sharma, 2022. "Second Screening—The Influence of Concurrent TV Consumption on Online Shopping Behavior," Information Systems Research, INFORMS, vol. 33(3), pages 809-823, September.
    • Handle: RePEc:inm:orisre:v:33:y:2022:i:3:p:809-823
    DOI: 10.1287/isre.2021.1099
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    References listed on IDEAS

    as
    1. Kleibergen, Frank & Paap, Richard, 2006. "Generalized reduced rank tests using the singular value decomposition," Journal of Econometrics, Elsevier, vol. 133(1), pages 97-126, July.
    2. Jura Liaukonyte & Thales Teixeira & Kenneth C. Wilbur, 2015. "Television Advertising and Online Shopping," Marketing Science, INFORMS, vol. 34(3), pages 311-330, May.
    3. Gary C. Moore & Izak Benbasat, 1991. "Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation," Information Systems Research, INFORMS, vol. 2(3), pages 192-222, September.
    4. Hall, Alastair R & Rudebusch, Glenn D & Wilcox, David W, 1996. "Judging Instrument Relevance in Instrumental Variables Estimation," International Economic Review, Department of Economics, University of Pennsylvania and Osaka University Institute of Social and Economic Research Association, vol. 37(2), pages 283-298, May.
    5. Mitchell Lovett & Renana Peres & Ron Shachar, 2014. "A Data Set of Brands and Their Characteristics," Marketing Science, INFORMS, vol. 33(4), pages 609-617, July.
    6. Bart J. Bronnenberg & Jun B. Kim & Carl F. Mela, 2016. "Zooming In on Choice: How Do Consumers Search for Cameras Online?," Marketing Science, INFORMS, vol. 35(5), pages 693-712, September.
    7. Jeffrey L. Jenkins & Bonnie Brinton Anderson & Anthony Vance & C. Brock Kirwan & David Eargle, 2016. "More Harm Than Good? How Messages That Interrupt Can Make Us Vulnerable," Information Systems Research, INFORMS, vol. 27(4), pages 880-896, December.
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