Abstract
With the unprecedented influence of social media, firms are increasingly relying on social media as a channel for marketing interaction. While firm-generated content (FGC) has become a common tool, allowing brands to show consumers informative, exchangeable messages, online word-of-mouth, such as user-generated content (UGC) and professional-generated content (PGC), has also become a prevalent strategy with the popularity of social media platforms to provide trustworthy information and promote product sales. However, our understanding on how those three online marketing strategies interactively influence firm performance as well as the conditions under which these effects vary remains limited. Drawing on signaling theory, this study examines how FGC, UGC, and PGC interactively influence car sales in the automobile industry and how such effects are influenced by product quality cues, such as price and popularity. Based on the monthly data in 56 major car makers, we find the varying relationships among FGC, UGC, and PGC on car sales. Moreover, for low-priced cars, UGC has a stronger effect on car sales. In contrast, at a higher level of popularity, UGC has a greater positive impact on car sales, while PGC has a less negative impact on car sales. These findings have important implications for automotive brand marketers striving to increase car sales through multiple social media marketing channels. Marketers should evaluate cross-media strategy by including its interplay with different types of social media and monitoring word-of-mouth of cars across different price ranges and popularity.
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Notes
Sources: http://www.gov.cn/xinwen/2022-08/12/content_5705101.htm [last accessed: 19 February 2023].
References
de Vries L, Gensler S, Leeflang PSH (2017) Effects of traditional advertising and social messages on brand-building metrics and customer acquisition. J Mark 81:1–15
Liang T-P, Turban E (2014) Introduction to the special issue social commerce: a research framework for social commerce. Int J Electron Commer 16:5–14
Goldsmith RE, Horowitz D (2006) Measuring motivations for online opinion seeking. J Interact Advert 6:2–14
Reinstein DA, Snyder CM (2005) The influence of expert reviews on consumer demand for experience goods: A case study of movie critics. J Ind Econ 53:27–51
Amblee N, Bui T (2007) Freeware downloads: an empirical investigation into the impact of expert and user reviews on demand for digital goods. In: AMCIS 2007 Proceedings, vol 21
Tirunillai S, Tellis GJ (2012) Does chatter really matter? Dynamics of user-generated content and stock performance. Mark Sci 31:198–215
Duan W, Gu B, Whinston AB (2008) Do online reviews matter?—An empirical investigation of panel data. Decis Support Syst 45:1007–1016
Liu YS (2006) Word of mouth for movies: its dynamics and impact on box office revenue. J Mark 70:74–89
Srinivasan S, Rutz OJ, Pauwels K (2016) Paths to and off purchase: quantifying the impact of traditional marketing and online consumer activity. J Acad Mark Sci 44:440–453
Batra R, Keller KL (2016) Integrating marketing communications: new findings, new lessons, and new ideas. J Mark 80:122–145
King RA, Racherla P, Bush VD (2014) What we know and don’t know about online word-of-mouth: A review and synthesis of the literature. J Interact Mark 28:167–183
Thorson KS, Rodgers S (2006) Relationships between blogs as eWOM and interactivity, perceived interactivity, and parasocial interaction. J Interact Advert 6:5–44
Colicev A, Malshe A, Pauwels K (2018) Improving consumer mindset metrics and shareholder value through social media: The different roles of owned and earned media. J Mark 82:37–56
Dewan S, Ramaprasad J (2014) Social media, traditional media, and music sales. MIS Q 38:101–122
Kumar V, Choi JB, Greene M (2017) Synergistic effects of social media and traditional marketing on brand sales: capturing the time-varying effects. J Acad Mark Sci 45:268–288
Pilotta JJ, Schultz DE, Drenik G, Rist P (2004) Simultaneous media usage: a critical consumer orientation to media planning. J Consum Behav Int Res Rev 3:285–292
Naik PA, Raman K (2003) Understanding the impact of synergy in multimedia communications. J Mark Res 40:375–388
Wang Y-Y, Wang T, Calantone R (2021) The effect of competitive actions and social media perceptions on offline car sales after automobile recalls. Int J Inf Manag 56:102257
Kirmani A, Rao AR (2000) No pain, no gain: a critical review of the literature on signaling unobservable product quality. J Mark 64:66–79
Connelly BL, Certo ST, Ireland RD, Reutzel CR (2011) Signaling theory: a review and assessment. J Manag 37:39–67
Appel G, Grewal L, Hadi R, Stephen AT (2020) The future of social media in marketing. J Acad Mark Sci 48:79–95
**g B (2011) Exogenous learning, seller-induced learning, and marketing of durable goods. Manag Sci 57:1788–1801
Gouldner AW (1960) The norm of reciprocity A preliminary statement. Am Sociol Rev 25:161–178
Olson JC (1978) Inferential belief formation in the cue utilization process, ACR North American Advances
Gu B, Tang Q, Whinston AB (2013) The influence of online word-of-mouth on long tail formation. Decis Support Syst 56:474–481
Zhu F, Zhang XM (2010) Impact of online consumer reviews on sales: the moderating role of product and consumer characteristics. J Mark 74:133–148
Lin Z, Zhang Y, Tan Y (2019) An empirical study of free product sampling and rating bias. Inf Syst Res 30:260–275
Wang J-N, Du J, Chiu Y-L, Li J (2018) Dynamic effects of customer experience levels on durable product satisfaction: price and popularity moderation. Electron Commer Res Appl 28:16–29
Song T, Huang J, Tan Y, Yu Y (2019) Using user-and marketer-generated content for box office revenue prediction: differences between microblogging and third-party platforms. Inf Syst Res 30:191–203
Akcura T, Altinkemer K, Chen H (2018) Noninfluentials and information dissemination in the microblogging community. Inf Technol Manag 19:89–106
Chen Y, **e J (2005) Third-party product review and firm marketing strategy. Mark Sci 24:218–240
Sayogo DS, Zhang J, Luna-Reyes L, Jarman H, Tayi G, Andersen DL, Pardo TA, Andersen DF (2015) Challenges and requirements for develo** data architecture supporting integration of sustainable supply chains. Inf Technol Manag 16:5–18
Homburg C, Vomberg A, Muehlhaeuser S (2020) Design and governance of multichannel sales systems: financial performance consequences in business-to-business markets. J Mark Res 57:1113–1134
Grewal D, Gotlieb J, Marmorstein H (1994) The moderating effects of message framing and source credibility on the price-perceived risk relationship. J Consum Res 21:145–153
Wang X-W, Cao Y-M, Park C (2019) The relationships among community experience, community commitment, brand attitude, and purchase intention in social media. Int J Inf Manag 49:475–488
Lee S-H (2016) Factors influencing the social networking service user’s value perception and word of mouth decision of corporate post with special reference to the emotional attachment. Inf Technol Manag 17:15–27
Slaughter JE, Zickar MJ, Highhouse S, Mohr DC (2004) Personality trait inferences about organizations: development of a measure and assessment of construct validity. J Appl Psychol 89:85–103
Lee LF, Hutton AP, Shu S (2015) The role of social media in the capital market: evidence from consumer product recalls. J Account Res 53:367–404
Kumar A, Bezawada R, Rishika R, Janakiraman R (2016) From social to sale: the effects of firm-generated content in social media on customer behavior. J Mark 80:7–25
Miller AR, Tucker C (2013) Active social media management: the case of health care. Inf Syst Res 24:52–70
Stephen AT, Galak J (2012) The effects of traditional and social earned media on sales: a study of a microlending marketplace. J Mark Res 49:624–639
Goh K-Y, Heng C-S, Lin Z (2013) Social media brand community and consumer behavior: quantifying the relative impact of user-and marketer-generated content. Inf Syst Res 24:88–107
You Y, Vadakkepatt GG, Joshi AM (2015) A meta-analysis of electronic word-of-mouth elasticity. J Mark 79:19–39
Santiago J, Borges-Tiago MT, Tiago F (2022) Is firm-generated content a lost cause. J Bus Res 139:945–953
Zhang P, Lee H-M, Zhao K, Shah V (2019) An empirical investigation of eWOM and used video game trading: the moderation effects of product features. Decis Support Syst 123
Chen H, Chen H-T (2021) The role of social network sites on the relationship between game users and developers: an evolutionary game analysis of virtual goods. Inf Technol Manag 22:67–81
Huang L, Tan CH, Ke W, Wei KK (2018) Helpfulness of online review content: the moderating effects of temporal and social cues. J Assoc Inf Syst 19:503–522
Forman C, Ghose A, Wiesenfeld B (2008) Examining the relationship between reviews and sales: the role of reviewer identity disclosure in electronic markets. Inf Syst Res 19:291–313
Dennis AR, Minas RK, Lockwood NS (2016) Map** the corporate blogosphere: linking audience, content, and management to blog visibility. J Assoc Inf Syst 17
Adomavicius G, Bockstedt JC, Curley SP, Zhang J (2021) Effects of personalized recommendations versus aggregate ratings on post-consumption preference responses. MIS Q
Ye Q, Law R, Gu B, Chen W (2011) The influence of user-generated content on traveler behavior: an empirical investigation on the effects of e-word-of-mouth to hotel online bookings. Comput Hum Behav 27:634–639
Boatwright P, Basuroy S, Kamakura W (2007) Reviewing the reviewers: the impact of individual film critics on box office performance. Quant Mark Econ 5:401–425
Lee Y-J, Tan Y (2013) Effects of different types of free trials and ratings in sampling of consumer software: an empirical study. J Manag Inf Syst 30:213–246
Benlian A, Titah R, Hess T (2012) Differential effects of provider recommendations and consumer reviews in e-commerce transactions: an experimental study. J Manag Inf Syst 29:237–272
Moon S, Bergey PK, Iacobucci D (2010) Dynamic effects among movie ratings, movie revenues, and viewer satisfaction. J Mark 74:108–121
Li M, Huang L, Tan C-H, Wei K-K (2013) Helpfulness of online product reviews as seen by consumers: source and content features. Int J Electron Commer 17:101–136
Smith TM, Gopalakrishna S, Chatterjee R (2006) A three-stage model of integrated marketing communications at the marketing-sales interface. J Mark Res 43:564–579
de Vries L, Gensler S, Leeflang PSH (2012) Popularity of brand posts on brand fan pages: an investigation of the effects of social media marketing. J Interact Mark 26:83–91
Zhou W, Duan W (2016) Do professional reviews affect online user choices through user reviews? An empirical study. J Manag Inf Syst 33:202–228
Assael H (2011) From silos to synergy: A fifty-year review of cross-media research shows synergy has yet to achieve its full potential. J Advert Res 51:42–58
Wang Y-Y, Guo C, Susarla A, Sambamurthy V (2021) Online to offline: the impact of social media on offline sales in the automobile industry. Inf Syst Res 32:582–604
Hewett K, Rand W, Rust RT, van Heerde HJ (2016) Brand buzz in the echoverse. J Mark 80:1–24
Sivadas E, Dwyer FR (2000) An examination of organizational factors influencing new product success in internal and alliance-based processes. J Mark 64:31–49
Ho-Dac NN, Carson SJ, Moore WL (2013) The effects of positive and negative online customer reviews: do brand strength and category maturity matter? J Mark 77:37–53
Clemons EK, Gao GG, Hitt LM (2006) When online reviews meet hyperdifferentiation: a study of the craft beer industry. J Manag Inf Syst 23:149–171
Trueman B, Wong MHF, Zhang X-J (2000) The eyeballs have it: Searching for the value in Internet stocks. J Account Res 38:137–162
Demers E, Lev B (2001) A rude awakening: Internet shakeout in 2000. Rev Acc Stud 6:331–359
Haan MA, Dijkstra SG, Dijkstra PT (2005) Expert judgment versus public opinion–evidence from the Eurovision song contest. J Cult Econ 29:59–78
Lim JS, Ri SY, Egan BD, Biocca FA (2015) The cross-platform synergies of digital video advertising: implications for cross-media campaigns in television, Internet and mobile TV. Comput Hum Behav 48:463–472
Baum D, Spann M (2014) The interplay between online consumer reviews and recommender systems: an experimental analysis. Int J Electron Commer 19:129–162
Hogarth RM (1989) On combining diagnostic ‘forecasts’: thoughts and some evidence. Int J Forecast 5:593–597
Mudambi SM, Schuff D (2010) Research note: What makes a helpful online review? A study of customer reviews on Amazon.com. MIS Q 34:185–200
Simon HA (1955) A behavioral model of rational choice. Q J Econ 69:99–118
Häubl G, Trifts V (2000) Consumer decision making in online shop** environments the effects of interactive decision aids. Mark Sci 19:4–21
Kumar N, Benbasat I (2006) Research note: the influence of recommendations and consumer reviews on evaluations of websites. Inf Syst Res 17:425–439
Ackerberg DA (2001) Empirically distinguishing informative and prestige effects of advertising. Rand J Econ 32:316–333
Bagwell K (2007) The economic analysis of advertising. Handb Ind Organiz 3:1701–1844
Erdem T, Keane MP (1996) Decision-making under uncertainty: capturing dynamic brand choice processes in turbulent consumer goods markets. Mark Sci 15:1–20
Tellis GJ, Gaeth GJ (1990) Best value, price-seeking, and price aversion: the impact of information and learning on consumer choices. J Mark 54:34–45
Moon J, Chadee D, Tikoo S (2008) Culture, product type, and price influences on consumer purchase intention to buy personalized products online. J Bus Res 61:31–39
Monroe KB (1973) Buyers’ subjective perceptions of price. J Mark Res 10:70–80
Duan W, Gu B, Whinston AB (2008) The dynamics of online word-of-mouth and product sales—an empirical investigation of the movie industry. J Retail 84:233–242
DeSarbo WS, Kim J, Choi SC, Spaulding M (2002) A gravity-based multidimensional scaling model for deriving spatial structures underlying consumer preference/choice judgments. J Consum Res 29:91–100
Park D-H, Lee J, Han I (2007) The effect of on-line consumer reviews on consumer purchasing intention: The moderating role of involvement. Int J Electron Commer 11:125–148
Chen P-Y, Wu S-yYJ (2004) The impact of online recommendations and consumer feedback on sales. Association for Information Systems
Kirby C (2000) Everyone’s a critic: web sites hope online reviews of products lead to online buying. In: San Francisco Chronicle
Godes D, Mayzlin D (2004) Using online conversations to study word-of-mouth communication. Mark Sci 23:545–560
Burtch G, Ghose A, Wattal S (2013) An empirical examination of the antecedents and consequences of contribution patterns in crowd-funded markets. Inf Syst Res 24:499–519
Lee L-f (2007) GMM and 2SLS estimation of mixed regressive, spatial autoregressive models. J Econom
Aggarwal R, Gopal R, Gupta A, Singh H (2012) Putting money where the mouths are: the relation between venture financing and electronic word-of-mouth. Inf Syst Res 23:976–992
Stock JH, Yogo M (2002) Testing for weak instruments in linear IV regression. National Bureau of Economic Research
Aiken LS, West SG (1991) Multiple regression: testing and interpreting interactions. Sage Publications, New York
Zeileis A, Kleiber C, Jackman S (2008) Regression models for count data in R. J Stat Softw 27:1–25
Mollick E, Nanda R (2016) Wisdom or madness? Comparing crowds with expert evaluation in funding the arts. Manag Sci 62:1533–1553
Speier C, Valacich JS, Vessey I (1999) The influence of task interruption on individual decision making: an information overload perspective. Decis Sci 30:337–360
Li X, Wu C, Mai F (2019) The effect of online reviews on product sales: a joint sentiment-topic analysis. Inf Manag 56:172–184
Acknowledgements
This study was funded by the National Natural Science Foundation of China (72071190, 72271072, and 71801069) and the Fundamental Research Funds for the Central Universities (JZ2023HGPA0294).
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Chen, X., Wang, Y. & Wei, S. How does social media influence car sales: the effects of firm-, user-, and professional-generated content. Inf Technol Manag (2023). https://doi.org/10.1007/s10799-023-00414-x
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DOI: https://doi.org/10.1007/s10799-023-00414-x