IDEAS home Printed from https://ideas.repec.org/a/spr/joamsc/v48y2020i2d10.1007_s11747-019-00683-5.html
   My bibliography  Save this article

Competitive spillover elasticities of electronic word of mouth: an application to the soft drink industry

Author

Listed:
  • Joaquin Sanchez

    (Universidad Complutense de Madrid)

  • Carmen Abril

    (Universidad Complutense de Madrid)

  • Michael Haenlein

    (ESCP Europe)

Abstract

Electronic word of mouth (eWOM), especially on online platforms such as Twitter, is a topic of interest for many C-suite executives. Yet little is understood about competitive spillover effects in eWOM, especially among mature brands in fast-moving consumer goods (FMCG) markets. In this article we analyze the entire corpus of tweets of two main FMCG brands (Pepsi and Coke) and use dynamic factorial analysis to classify eWOM into topic categories in an unsupervised manner. We then analyze how these topics influence sales, taking into account traditional marketing mix elements and endogeneity concerns. Our results show that looking at eWOM in an aggregate manner (positive vs. negative valence) can be misleading and mask important effects. We see strong evidence for eWOM competitor spillover, depending on eWOM content diagnosticity (high vs. low). We also show the presence of asymmetric eWOM spillover effects depending on the typicality and directionality of brand associations.

Suggested Citation

  • Joaquin Sanchez & Carmen Abril & Michael Haenlein, 2020. "Competitive spillover elasticities of electronic word of mouth: an application to the soft drink industry," Journal of the Academy of Marketing Science, Springer, vol. 48(2), pages 270-287, March.
  • Handle: RePEc:spr:joamsc:v:48:y:2020:i:2:d:10.1007_s11747-019-00683-5
    DOI: 10.1007/s11747-019-00683-5
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s11747-019-00683-5
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s11747-019-00683-5?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Wu, De-Min, 1973. "Alternative Tests of Independence Between Stochastic Regressors and Disturbances," Econometrica, Econometric Society, vol. 41(4), pages 733-750, July.
    2. Raj, S P, 1982. "The Effects of Advertising on High and Low Loyalty Consumer Segments," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 9(1), pages 77-89, June.
    3. King, Robert Allen & Racherla, Pradeep & Bush, Victoria D., 2014. "What We Know and Don't Know About Online Word-of-Mouth: A Review and Synthesis of the Literature," Journal of Interactive Marketing, Elsevier, vol. 28(3), pages 167-183.
    4. Robert C. Blattberg & Richard Briesch & Edward J. Fox, 1995. "How Promotions Work," Marketing Science, INFORMS, vol. 14(3_supplem), pages 122-132.
    5. 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.
    6. 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.
    7. Younggue Bae & Hongchul Lee, 2012. "Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 63(12), pages 2521-2535, December.
    8. Abril, Carmen & Sanchez, Joaquin, 2016. "Will they return? Getting private label consumers to come back: Price, promotion, and new product effects," Journal of Retailing and Consumer Services, Elsevier, vol. 31(C), pages 109-116.
    9. Rigoberto A. Lopez & Yizao Liu & Chen Zhu, 2015. "TV advertising spillovers and demand for private labels: the case of carbonated soft drinks," Applied Economics, Taylor & Francis Journals, vol. 47(25), pages 2563-2576, May.
    10. Inyoung Chae & Andrew T. Stephen & Yakov Bart & Dai Yao, 2017. "Spillover Effects in Seeded Word-of-Mouth Marketing Campaigns," Marketing Science, INFORMS, vol. 36(1), pages 89-104, January.
    11. Hausman, Jerry, 2015. "Specification tests in econometrics," Applied Econometrics, Russian Presidential Academy of National Economy and Public Administration (RANEPA), vol. 38(2), pages 112-134.
    12. Jonah Berger & Alan T. Sorensen & Scott J. Rasmussen, 2010. "Positive Effects of Negative Publicity: When Negative Reviews Increase Sales," Marketing Science, INFORMS, vol. 29(5), pages 815-827, 09-10.
    13. Liye Ma & Baohong Sun & Sunder Kekre, 2015. "The Squeaky Wheel Gets the Grease—An Empirical Analysis of Customer Voice and Firm Intervention on Twitter," Marketing Science, INFORMS, vol. 34(5), pages 627-645, September.
    14. Rebecca K. Trump & Kevin P. Newman, 2017. "When do unethical brand perceptions spill over to competitors?," Marketing Letters, Springer, vol. 28(2), pages 219-230, June.
    15. Yubo Chen & Jinhong Xie, 2008. "Online Consumer Review: Word-of-Mouth as a New Element of Marketing Communication Mix," Management Science, INFORMS, vol. 54(3), pages 477-491, March.
    16. East, Robert & Hammond, Kathy & Lomax, Wendy, 2008. "Measuring the impact of positive and negative word of mouth on brand purchase probability," International Journal of Research in Marketing, Elsevier, vol. 25(3), pages 215-224.
    17. Herr, Paul M & Kardes, Frank R & Kim, John, 1991. "Effects of Word-of-Mouth and Product-Attribute Information on Persuasion: An Accessibility-Diagnosticity Perspective," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(4), pages 454-462, March.
    18. Randall Lewis & Dan Nguyen, 2015. "Display advertising’s competitive spillovers to consumer search," Quantitative Marketing and Economics (QME), Springer, vol. 13(2), pages 93-115, June.
    19. Aron Culotta & Jennifer Cutler, 2016. "Mining Brand Perceptions from Twitter Social Networks," Marketing Science, INFORMS, vol. 35(3), pages 343-362, May.
    20. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
    21. Andrea Fosfuri & Marco S. Giarratana, 2009. "Masters of War: Rivals' Product Innovation and New Advertising in Mature Product Markets," Management Science, INFORMS, vol. 55(2), pages 181-191, February.
    22. Zoey Chen & Jonah Berger, 2013. "When, Why, and How Controversy Causes Conversation," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 40(3), pages 580-593.
    23. Hansen, Christian & Hausman, Jerry & Newey, Whitney, 2008. "Estimation With Many Instrumental Variables," Journal of Business & Economic Statistics, American Statistical Association, vol. 26, pages 398-422.
    24. Filieri, Raffaele, 2015. "What makes online reviews helpful? A diagnosticity-adoption framework to explain informational and normative influences in e-WOM," Journal of Business Research, Elsevier, vol. 68(6), pages 1261-1270.
    25. Nathan Yang, 2012. "Burger King and McDonald’s: Where’s the Spillover?," International Journal of the Economics of Business, Taylor & Francis Journals, vol. 19(2), pages 255-281, July.
    26. Seshadri Tirunillai & Gerard J. Tellis, 2012. "Does Chatter Really Matter? Dynamics of User-Generated Content and Stock Performance," Marketing Science, INFORMS, vol. 31(2), pages 198-215, March.
    27. Hogan, John E. & Lemon, Katherine N. & Libai, Barak, 2004. "Quantifying the Ripple: Word-of-Mouth and Advertising Effectiveness," Journal of Advertising Research, Cambridge University Press, vol. 44(3), pages 271-280, September.
    28. Dominique M. Hanssens, 2018. "The value of empirical generalizations in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(1), pages 6-8, January.
    29. 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.
    30. Oberhofer, W & Kmenta, J, 1974. "A General Procedure for Obtaining Maximum Likelihood Estimates in Generalized Regression Models," Econometrica, Econometric Society, vol. 42(3), pages 579-590, May.
    31. Kim, Ho & Hanssens, Dominique M., 2017. "Advertising and Word-of-Mouth Effects on Pre-launch Consumer Interest and Initial Sales of Experience Products," Journal of Interactive Marketing, Elsevier, vol. 37(C), pages 57-74.
    32. Narayan Janakiraman & Robert J. Meyer & Andrea C. Morales, 2006. "Spillover Effects: How Consumers Respond to Unexpected Changes in Price and Quality," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 33(3), pages 361-369, October.
    33. Zhang, Yuchi & Moe, Wendy W. & Schweidel, David A., 2017. "Modeling the role of message content and influencers in social media rebroadcasting," International Journal of Research in Marketing, Elsevier, vol. 34(1), pages 100-119.
    34. Marchand, André & Hennig-Thurau, Thorsten & Wiertz, Caroline, 2017. "Not all digital word of mouth is created equal: Understanding the respective impact of consumer reviews and microblogs on new product success," International Journal of Research in Marketing, Elsevier, vol. 34(2), pages 336-354.
    35. Andrew E. Wilson & Michael D. Giebelhausen & Michael K. Brady, 2017. "Negative word of mouth can be a positive for consumers connected to the brand," Journal of the Academy of Marketing Science, Springer, vol. 45(4), pages 534-547, July.
    36. Zoey Chen, 2017. "Social Acceptance and Word of Mouth: How the Motive to Belong Leads to Divergent WOM with Strangers and Friends," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 44(3), pages 613-632.
    37. Onishi, Hiroshi & Manchanda, Puneet, 2012. "Marketing activity, blogging and sales," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 221-234.
    38. David Roodman, 2009. "Mixed-process models with cmp," DC09 Stata Conference 11, Stata Users Group.
    39. Krishnan, Trichy V. & Seetharaman, P.B. “Seethu” & Vakratsas, Demetrios, 2012. "The multiple roles of interpersonal communication in new product growth," International Journal of Research in Marketing, Elsevier, vol. 29(3), pages 292-305.
    40. Dick, Alan & Chakravarti, Dipankar & Biehal, Gabriel, 1990. "Memory-Based Inferences during Consumer Choice," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 17(1), pages 82-93, June.
    41. David Roodman, 2009. "Estimating Fully Observed Recursive Mixed-Process Models with cmp," Working Papers 168, Center for Global Development.
    42. Shyam Gopinath & Jacquelyn S. Thomas & Lakshman Krishnamurthi, 2014. "Investigating the Relationship Between the Content of Online Word of Mouth, Advertising, and Brand Performance," Marketing Science, INFORMS, vol. 33(2), pages 241-258, March.
    43. Keller, Kevin Lane, 1987. "Memory Factors in Advertising: The Effect of Advertising Retrieval Cues on Brand Evaluations," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 14(3), pages 316-333, December.
    44. Pauwels, Koen & Erguncu, Selin & Yildirim, Gokhan, 2013. "Winning hearts, minds and sales: How marketing communication enters the purchase process in emerging and mature markets," International Journal of Research in Marketing, Elsevier, vol. 30(1), pages 57-68.
    45. Pauwels, Koen & Aksehirli, Zeynep & Lackman, Andrew, 2016. "Like the ad or the brand? Marketing stimulates different electronic word-of-mouth content to drive online and offline performance," International Journal of Research in Marketing, Elsevier, vol. 33(3), pages 639-655.
    46. Younggue Bae & Hongchul Lee, 2012. "Sentiment analysis of twitter audiences: Measuring the positive or negative influence of popular twitterers," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2521-2535, December.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Sven Baehre & Michele O’Dwyer & Lisa O’Malley & Nick Lee, 2022. "The use of Net Promoter Score (NPS) to predict sales growth: insights from an empirical investigation," Journal of the Academy of Marketing Science, Springer, vol. 50(1), pages 67-84, January.
    2. Lara Stocchi & Naser Pourazad & Nina Michaelidou & Arry Tanusondjaja & Paul Harrigan, 2022. "Marketing research on Mobile apps: past, present and future," Journal of the Academy of Marketing Science, Springer, vol. 50(2), pages 195-225, March.
    3. Borah, Abhishek & Bahadir, S.Cem & Colicev, Anatoli & Tellis, Gerard J., 2022. "It pays to pay attention: How firm's and competitor's marketing levers affect investor attention and firm value," International Journal of Research in Marketing, Elsevier, vol. 39(1), pages 227-246.
    4. Jun Zhang & Joon Soo Lim, 2021. "Mitigating negative spillover effects in a product-harm crisis: strategies for market leaders versus market challengers," Journal of Brand Management, Palgrave Macmillan, vol. 28(1), pages 77-98, January.
    5. Syagnik Banerjee & Fareena Sultan & Charles F. Hofacker, 2023. "Discovering synergies and conflicts in online and offline in-store engagement," Journal of Marketing Analytics, Palgrave Macmillan, vol. 11(4), pages 761-776, December.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Bitty Balducci & Detelina Marinova, 2018. "Unstructured data in marketing," Journal of the Academy of Marketing Science, Springer, vol. 46(4), pages 557-590, July.
    2. Mitchell J. Lovett & Renana Peres & Linli Xu, 2019. "Can your advertising really buy earned impressions? The effect of brand advertising on word of mouth," Quantitative Marketing and Economics (QME), Springer, vol. 17(3), pages 215-255, September.
    3. Vermeer, Susan A.M. & Araujo, Theo & Bernritter, Stefan F. & van Noort, Guda, 2019. "Seeing the wood for the trees: How machine learning can help firms in identifying relevant electronic word-of-mouth in social media," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 492-508.
    4. Dominik Gutt & Jürgen Neumann & Steffen Zimmermann & Dennis Kundisch & Jianqing Chen, 2018. "Design of Review Systems - A Strategic Instrument to shape Online Review Behavior and Economic Outcomes," Working Papers Dissertations 42, Paderborn University, Faculty of Business Administration and Economics.
    5. Ana Babić Rosario & Kristine Valck & Francesca Sotgiu, 2020. "Conceptualizing the electronic word-of-mouth process: What we know and need to know about eWOM creation, exposure, and evaluation," Journal of the Academy of Marketing Science, Springer, vol. 48(3), pages 422-448, May.
    6. Valter Afonso Vieira & Marcos Inácio Severo Almeida & Raj Agnihotri & Nôga Simões De Arruda Corrêa Silva & S. Arunachalam, 2019. "In pursuit of an effective B2B digital marketing strategy in an emerging market," Journal of the Academy of Marketing Science, Springer, vol. 47(6), pages 1085-1108, November.
    7. 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.
    8. Agnieszka Zablocki & Bodo Schlegelmilch & Michael J. Houston, 2019. "How valence, volume and variance of online reviews influence brand attitudes," AMS Review, Springer;Academy of Marketing Science, vol. 9(1), pages 61-77, June.
    9. Takumi Kato, 2022. "Rating valence versus rating distribution: perceived helpfulness of word of mouth in e-commerce," SN Business & Economics, Springer, vol. 2(11), pages 1-24, November.
    10. Kim, Jikyung (Jeanne) & Dong, Hang & Choi, Jeonghye & Chang, Sue Ryung, 2022. "Sentiment change and negative herding: Evidence from microblogging and news," Journal of Business Research, Elsevier, vol. 142(C), pages 364-376.
    11. Liu, Ran & Ford, John B. & Zhang, Weiyong & Bonnici, Joseph, 2023. "Reappraising the roles of review valence and conflict in online relationships," Journal of Business Research, Elsevier, vol. 167(C).
    12. Rietveld, Robert & van Dolen, Willemijn & Mazloom, Masoud & Worring, Marcel, 2020. "What You Feel, Is What You Like Influence of Message Appeals on Customer Engagement on Instagram," Journal of Interactive Marketing, Elsevier, vol. 49(C), pages 20-53.
    13. Seshadri Tirunillai & Gerard J. Tellis, 2017. "Does Offline TV Advertising Affect Online Chatter? Quasi-Experimental Analysis Using Synthetic Control," Marketing Science, INFORMS, vol. 36(6), pages 862-878, November.
    14. Dhaoui, Chedia & Webster, Cynthia M., 2021. "Brand and consumer engagement behaviors on Facebook brand pages: Let's have a (positive) conversation," International Journal of Research in Marketing, Elsevier, vol. 38(1), pages 155-175.
    15. Colmekcioglu, Nazan & Marvi, Reza & Foroudi, Pantea & Okumus, Fevzi, 2022. "Generation, susceptibility, and response regarding negativity: An in-depth analysis on negative online reviews," Journal of Business Research, Elsevier, vol. 153(C), pages 235-250.
    16. Kick, Markus, 2015. "Social Media Research: A Narrative Review," EconStor Preprints 182506, ZBW - Leibniz Information Centre for Economics.
    17. Jang, Seongsoo & Chung, Jaihak & Rao, Vithala R., 2021. "The importance of functional and emotional content in online consumer reviews for product sales: Evidence from the mobile gaming market," Journal of Business Research, Elsevier, vol. 130(C), pages 583-593.
    18. Topaloglu, Omer & Dass, Mayukh & Kumar, Piyush, 2017. "Does who we are affect what we say and when? Investigating the impact of activity and connectivity on microbloggers' response to new products," Journal of Business Research, Elsevier, vol. 77(C), pages 23-29.
    19. Ilhan, Behice Ece & Kübler, Raoul V. & Pauwels, Koen H., 2018. "Battle of the Brand Fans: Impact of Brand Attack and Defense on Social Media," Journal of Interactive Marketing, Elsevier, vol. 43(C), pages 33-51.
    20. (Kay) Byun, Kyung-ah & Ma, Minghui & Kim, Kevin & Kang, Taeghyun, 2021. "Buying a New Product with Inconsistent Product Reviews from Multiple Sources: The Role of Information Diagnosticity and Advertising," Journal of Interactive Marketing, Elsevier, vol. 55(C), pages 81-103.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:joamsc:v:48:y:2020:i:2:d:10.1007_s11747-019-00683-5. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.