How does social media influence car sales: the effects of firm-, user-, and professional-generated content

被引:7
作者
Chen, Xiayu [1 ]
Wang, Yue [1 ]
Wei, Shaobo [1 ]
机构
[1] Hefei Univ Technol, Sch Management, Hefei 230009, Anhui, Peoples R China
基金
中国国家自然科学基金;
关键词
Firm-generated content; User-generated content; Professional-generated content; Interaction effect; Car sales; Price; Popularity; WORD-OF-MOUTH; ONLINE CONSUMER REVIEWS; DECISION-MAKING; MARKETING COMMUNICATIONS; PURCHASE INTENTION; CUSTOMER REVIEWS; MODERATING ROLE; PRODUCT; IMPACT; PRICE;
D O I
10.1007/s10799-023-00414-x
中图分类号
G25 [图书馆学、图书馆事业]; G35 [情报学、情报工作];
学科分类号
1205 ; 120501 ;
摘要
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.
引用
收藏
页码:305 / 322
页数:18
相关论文
共 96 条
[1]   Empirically distinguishing informative and prestige effects of advertising [J].
Ackerberg, DA .
RAND JOURNAL OF ECONOMICS, 2001, 32 (02) :316-333
[2]  
Adomavicius G, 2021, MIS Q
[3]   Putting Money Where the Mouths Are: The Relation Between Venture Financing and Electronic Word-of-Mouth [J].
Aggarwal, Rohit ;
Gopal, Ram ;
Gupta, Alok ;
Singh, Harpreet .
INFORMATION SYSTEMS RESEARCH, 2012, 23 (03) :976-992
[4]  
Aiken L.S., 1991, MULTIPLE REGRESSION
[5]   Noninfluentials and information dissemination in the microblogging community [J].
Akcura, Tolga ;
Altinkemer, Kemal ;
Chen, Hailiang .
INFORMATION TECHNOLOGY & MANAGEMENT, 2018, 19 (02) :89-106
[6]  
Amblee N, 2007, AMCIS 2007 P, V21
[7]   The future of social media in marketing [J].
Appel, Gil ;
Grewal, Lauren ;
Hadi, Rhonda ;
Stephen, Andrew T. .
JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2020, 48 (01) :79-95
[8]   From Silos to Synergy A Fifty-year Review of Cross-media Research Shows Synergy Has Yet to Achieve its Full Potential [J].
Assael, Henry .
JOURNAL OF ADVERTISING RESEARCH, 2011, 51 (01) :42-58
[9]  
Bagwell Kyle., 2007, Handbook of industrial organization, DOI [DOI 10.1016/S1573-448X(06)03028-7, 10.1016/S1573-448X(06)03028-7, 10.1016/S1573-448X, DOI 10.1016/S1573-448X]
[10]   Integrating Marketing Communications: New Findings, New Lessons, and New Ideas [J].
Batra, Rajeev ;
Keller, Kevin Lane .
JOURNAL OF MARKETING, 2016, 80 (06) :122-145