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Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry

Author

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  • Yen-Yao Wang

    (Department of Systems and Technology, Harbert College of Business, Auburn University, Auburn, Alabama 36849)

  • Chenhui Guo

    (Department of Accounting and Information Systems, Eli Broad College of Business, Michigan State University, East Lansing, Michigan 48824)

  • Anjana Susarla

    (Department of Accounting and Information Systems, Eli Broad College of Business, Michigan State University, East Lansing, Michigan 48824)

  • Vallabh Sambamurthy

    (Wisconsin School of Business, University of Wisconsin, Madison, Wisconsin 53706)

Abstract

Given the limited research into the impact of social media on offline sales of durable goods, this study examines the dynamic relationships between firm-generated content (FGC), user-generated content (UGC), traditional media, and offline light vehicle sales. Data were collected from the official Facebook and Twitter pages of 30 U.S. car brands from 2009 to 2015. We utilized a panel vector autoregressive model to investigate the dynamic relationships among multiple time series v ariables while controlling for influential durable goods characteristics. The empirical results suggest that Facebook and Twitter have heterogeneous effects on offline vehicle sales. Moreover, FGC is more effective than UGC for influencing offline light vehicle sales. Viral impressions from Facebook and Twitter are essential, although the effects vary by social media platform (Facebook versus Twitter) and content type (FGC versus UGC). The result of the impulse response function analysis indicates that both the firm’s marketing efforts (FGC and traditional media) and UGC have a long-term effect on offline sales, with the long-term effect of a firm’s marketing efforts outlasting that of UGC. Incorporating FGC and UGC from Facebook and Twitter and traditional media could improve the performance of offline sales prediction. We also documented the within-Twitter synergistic effect between FGC and UGC for offline car sales and cross-channel substitution relationships (FGC on both Facebook and Twitter serves as a substitution to traditional media). Finally, we provide guidance for managers seeking to leverage multichannel marketing to boost the offline sales of durable goods.

Suggested Citation

  • Yen-Yao Wang & Chenhui Guo & Anjana Susarla & Vallabh Sambamurthy, 2021. "Online to Offline: The Impact of Social Media on Offline Sales in the Automobile Industry," Information Systems Research, INFORMS, vol. 32(2), pages 582-604, June.
    • Handle: RePEc:inm:orisre:v:32:y:2021:i:2:p:582-604
    DOI: 10.1287/isre.2020.0984
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    as
    1. Shuba Srinivasan & Oliver J. Rutz & Koen Pauwels, 2016. "Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity," Journal of the Academy of Marketing Science, Springer, vol. 44(4), pages 440-453, July.
    2. Robert B. Barsky & Christopher L. House & Miles S. Kimball, 2007. "Sticky-Price Models and Durable Goods," American Economic Review, American Economic Association, vol. 97(3), pages 984-998, June.
    3. Holtz-Eakin, Douglas & Newey, Whitney & Rosen, Harvey S, 1988. "Estimating Vector Autoregressions with Panel Data," Econometrica, Econometric Society, vol. 56(6), pages 1371-1395, November.
    4. Hailiang Chen & Prabuddha De & Yu Jeffrey Hu, 2015. "IT-Enabled Broadcasting in Social Media: An Empirical Study of Artists’ Activities and Music Sales," Information Systems Research, INFORMS, vol. 26(3), pages 513-531, September.
    5. Michael R. M. Abrigo & Inessa Love, 2016. "Estimation of panel vector autoregression in Stata," Stata Journal, StataCorp LP, vol. 16(3), pages 778-804, September.
    6. Im, Kyung So & Pesaran, M. Hashem & Shin, Yongcheol, 2003. "Testing for unit roots in heterogeneous panels," Journal of Econometrics, Elsevier, vol. 115(1), pages 53-74, July.
    7. Konstantinos Drakos & Panagiotis Th. Konstantinou, 2014. "Terrorism, crime and public spending: Panel VAR evidence from europe," Defence and Peace Economics, Taylor & Francis Journals, vol. 25(4), pages 349-361, August.
    8. Michael Waldman, 2003. "Durable Goods Theory for Real World Markets," Journal of Economic Perspectives, American Economic Association, vol. 17(1), pages 131-154, Winter.
    9. Choi, In, 2001. "Unit root tests for panel data," Journal of International Money and Finance, Elsevier, vol. 20(2), pages 249-272, April.
    10. Xueming Luo & Jie Zhang & Wenjing Duan, 2013. "Social Media and Firm Equity Value," Information Systems Research, INFORMS, vol. 24(1), pages 146-163, March.
    11. Granger, C. W. J. & Newbold, Paul, 1986. "Forecasting Economic Time Series," Elsevier Monographs, Elsevier, edition 2, number 9780122951831 edited by Shell, Karl.
    12. Yuhong He & Saibal Ray & Shuya Yin, 2016. "Group Selling, Product Durability, and Consumer Behavior," Production and Operations Management, Production and Operations Management Society, vol. 25(11), pages 1942-1957, November.
    13. James H. Stock & Mark W. Watson, 2001. "Vector Autoregressions," Journal of Economic Perspectives, American Economic Association, vol. 15(4), pages 101-115, Fall.
    14. Shyam Gopinath & Pradeep K. Chintagunta & Sriram Venkataraman, 2013. "Blogs, Advertising, and Local-Market Movie Box Office Performance," Management Science, INFORMS, vol. 59(12), pages 2635-2654, December.
    15. Smith, Andrew N. & Fischer, Eileen & Yongjian, Chen, 2012. "How Does Brand-related User-generated Content Differ across YouTube, Facebook, and Twitter?," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 102-113.
    16. Andrews, Donald W. K. & Lu, Biao, 2001. "Consistent model and moment selection procedures for GMM estimation with application to dynamic panel data models," Journal of Econometrics, Elsevier, vol. 101(1), pages 123-164, March.
    17. Zaichkowsky, Judith Lynne, 1985. "Measuring the Involvement Construct," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 12(3), pages 341-352, December.
    18. Hirotugu Akaike, 1969. "Fitting autoregressive models for prediction," Annals of the Institute of Statistical Mathematics, Springer;The Institute of Statistical Mathematics, vol. 21(1), pages 243-247, December.
    19. Xueming Luo, 2009. "Quantifying the Long-Term Impact of Negative Word of Mouth on Cash Flows and Stock Prices," Marketing Science, INFORMS, vol. 28(1), pages 148-165, 01-02.
    20. Arellano, Manuel & Bover, Olympia, 1995. "Another look at the instrumental variable estimation of error-components models," Journal of Econometrics, Elsevier, vol. 68(1), pages 29-51, July.
    21. Duan, Wenjing & Gu, Bin & Whinston, Andrew B., 2008. "The dynamics of online word-of-mouth and product sales—An empirical investigation of the movie industry," Journal of Retailing, Elsevier, vol. 84(2), pages 233-242.
    22. Tingting Song & Jinghua Huang & Yong Tan & Yifan Yu, 2019. "Using User- and Marketer-Generated Content for Box Office Revenue Prediction: Differences Between Microblogging and Third-Party Platforms," Service Science, INFORMS, vol. 30(1), pages 191-203, March.
    23. Norris Bruce & Preyas Desai & Richard Staelin, 2006. "Enabling the Willing: Consumer Rebates for Durable Goods," Marketing Science, INFORMS, vol. 25(4), pages 350-366, 07-08.
    24. Love, Inessa & Zicchino, Lea, 2006. "Financial development and dynamic investment behavior: Evidence from panel VAR," The Quarterly Review of Economics and Finance, Elsevier, vol. 46(2), pages 190-210, May.
    25. Pauwels, Koen & Demirci, Ceren & Yildirim, Gokhan & Srinivasan, Shuba, 2016. "The impact of brand familiarity on online and offline media synergy," International Journal of Research in Marketing, Elsevier, vol. 33(4), pages 739-753.
    26. Bing Jing, 2011. "Exogenous Learning, Seller-Induced Learning, and Marketing of Durable Goods," Management Science, INFORMS, vol. 57(10), pages 1788-1801, October.
    27. Jean-Noël Kapferer & Gilles Laurent, 1985. "Measuring consumer involvement profiles," Post-Print hal-00786781, HAL.
    28. Khim-Yong Goh & Cheng-Suang Heng & Zhijie Lin, 2013. "Social Media Brand Community and Consumer Behavior: Quantifying the Relative Impact of User- and Marketer-Generated Content," Information Systems Research, INFORMS, vol. 24(1), pages 88-107, March.
    29. Stephan Seiler & Song Yao & Wenbo Wang, 2017. "Does Online Word of Mouth Increase Demand? (And How?) Evidence from a Natural Experiment," Marketing Science, INFORMS, vol. 36(6), pages 838-861, November.
    30. V. Kumar & JeeWon Brianna Choi & Mallik Greene, 2017. "Synergistic effects of social media and traditional marketing on brand sales: capturing the time-varying effects," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 268-288, March.
    31. Randall Lewis & David Reiley, 2014. "Online ads and offline sales: measuring the effect of retail advertising via a controlled experiment on Yahoo!," Quantitative Marketing and Economics (QME), Springer, vol. 12(3), pages 235-266, September.
    32. Bulow, Jeremy I, 1982. "Durable-Goods Monopolists," Journal of Political Economy, University of Chicago Press, vol. 90(2), pages 314-332, April.
    33. Michael R.M. Abrigo & Inessa Love, 2016. "Estimation of Panel Vector Autoregression in Stata: a Package of Programs," Working Papers 201602, University of Hawaii at Manoa, Department of Economics.
    34. Nickell, Stephen J, 1981. "Biases in Dynamic Models with Fixed Effects," Econometrica, Econometric Society, vol. 49(6), pages 1417-1426, November.
    35. Amalia R. Miller & Catherine Tucker, 2013. "Active Social Media Management: The Case of Health Care," Information Systems Research, INFORMS, vol. 24(1), pages 52-70, March.
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    Cited by:

    1. Mingyang Zhang & Heyan Xu & Ning Ma & Xinglin Pan, 2022. "Intelligent Vehicle Sales Prediction Based on Online Public Opinion and Online Search Index," Sustainability, MDPI, vol. 14(16), pages 1-17, August.
    2. Xue, Zhebin & Li, Qing & Zeng, Xianyi, 2023. "Social media user behavior analysis applied to the fashion and apparel industry in the big data era," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    3. Vivek Astvansh & Yen‐Yao Wang & Wei Shi, 2022. "The effects of the news media on a firm's voluntary product recalls," Production and Operations Management, Production and Operations Management Society, vol. 31(11), pages 4223-4244, November.
    4. Chau Minh Nguyen & Marcelo Vinhal Nepomuceno & Yany Grégoire & Renaud Legoux, 2024. "Striking the Right Notes: Long- and Short-Term Financial Impacts of Musicians’ Charity Advocacy Versus Other Signaling Types," Journal of Business Ethics, Springer, vol. 193(1), pages 217-233, August.
    5. Jingjing Li & Nicole Montgomery & Reza Mousavi, 2022. "How a Brand's Social Activism Impacts Consumers' Brand Evaluations: The Role of Brand Relationship Norms," Papers 2210.10832, arXiv.org, revised Sep 2023.
    6. Yinan Yu & Liangfei Qiu & Hailiang Chen & Benjamin Yen, 2023. "Movie fit uncertainty and interplay between traditional advertising and social media marketing," Marketing Letters, Springer, vol. 34(3), pages 429-448, September.
    7. Lu, Lin & Xu, Pei & Wang, Yen-Yao & Wang, Yu, 2023. "Measuring service quality with text analytics: Considering both importance and performance of consumer opinions on social and non-social online platforms," Journal of Business Research, Elsevier, vol. 169(C).
    8. Qing Ye & Hong Wu, 2023. "Offline to online: The impacts of offline visit experience on online behaviors and service in an Internet hospital," Electronic Markets, Springer;IIM University of St. Gallen, vol. 33(1), pages 1-21, December.

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