IDEAS home Printed from https://ideas.repec.org/a/eee/joreco/v84y2025ics0969698924005095.html
   My bibliography  Save this article

How to introduce? The effects of new product preannouncement content on consumer engagements in enterprise social media

Author

Listed:
  • Chen, Man
  • Zhang, Xiaofei
  • Wang, Feng

Abstract

The increasing availability and widespread adoption of social media platforms are encouraging firms to use their official accounts on these platforms to promote brands and introduce new products. This study examines the role of new product preannouncement (NPPA), specifically how different types of NPPA content influence consumer engagement on social media. Through an analysis of 212,550 pieces of content from the automotive industry in China, informational NPPA content is shown to generally reduce consumer engagement, in contrast to emotional content, which significantly increases engagement. The effects of both informational and emotional content on consumer engagement are enhanced by a firm's follower count. However, brand-new product announcements weaken the ability of NPPA content to drive engagement compared with upgraded products. These findings advance understanding of NPPAs and offer valuable guidance for marketers seeking to optimize consumer engagement through strategic content design.

Suggested Citation

  • Chen, Man & Zhang, Xiaofei & Wang, Feng, 2025. "How to introduce? The effects of new product preannouncement content on consumer engagements in enterprise social media," Journal of Retailing and Consumer Services, Elsevier, vol. 84(C).
    • Handle: RePEc:eee:joreco:v:84:y:2025:i:c:s0969698924005095
    DOI: 10.1016/j.jretconser.2024.104213
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0969698924005095
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.jretconser.2024.104213?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

    for a different version of it.

    References listed on IDEAS

    as
    1. Ram Rao & Ozge Turut, 2019. "New Product Preannouncement: Phantom Products and the Osborne Effect," Management Science, INFORMS, vol. 65(8), pages 3776-3799, August.
    2. Troiville, Julien & Hair, Joe F. & Cliquet, Gérard, 2019. "Definition, conceptualization and measurement of consumer-based retailer brand equity," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 73-84.
    3. Liang Chen & Pengxiang Zhang & Sali Li & Scott F. Turner, 2022. "Growing pains: The effect of generational product innovation on mobile games performance," Strategic Management Journal, Wiley Blackwell, vol. 43(4), pages 792-821, April.
    4. Baum, Daniela & Spann, Martin & Füller, Johann & Thürridl, Carina, 2019. "The impact of social media campaigns on the success of new product introductions," Journal of Retailing and Consumer Services, Elsevier, vol. 50(C), pages 289-297.
    5. Yacheng Sun & Xiaojing Dong & Shelby McIntyre, 2017. "Motivation of User-Generated Content: Social Connectedness Moderates the Effects of Monetary Rewards," Marketing Science, INFORMS, vol. 36(3), pages 329-337, May.
    6. Chi-Cheng Wu & Ying-Ju Chen & Chih-Jen Wang, 2009. "Is Persuasive Advertising Always Combative in a Distribution Channel?," Marketing Science, INFORMS, vol. 28(6), pages 1157-1163, 11-12.
    7. de Vries, Lisette & Gensler, Sonja & Leeflang, Peter S.H., 2012. "Popularity of Brand Posts on Brand Fan Pages: An Investigation of the Effects of Social Media Marketing," Journal of Interactive Marketing, Elsevier, vol. 26(2), pages 83-91.
    8. Lim, Wei Shi & Tang, Christopher S., 2006. "Optimal product rollover strategies," European Journal of Operational Research, Elsevier, vol. 174(2), pages 905-922, October.
    9. Dokyun Lee & Kartik Hosanagar & Harikesh S. Nair, 2018. "Advertising Content and Consumer Engagement on Social Media: Evidence from Facebook," Management Science, INFORMS, vol. 64(11), pages 5105-5131, November.
    10. Chris Forman & Anindya Ghose & Batia Wiesenfeld, 2008. "Examining the Relationship Between Reviews and Sales: The Role of Reviewer Identity Disclosure in Electronic Markets," Information Systems Research, INFORMS, vol. 19(3), pages 291-313, September.
    11. Wang, Xingyuan & Liu, Yun & Wang, Shuyang & Chen, Haipeng (Allan), 2022. "Keep it vague? New product preannouncement, regulatory focus, and word-of-mouth," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    12. Angelos J. Doukas & Jie (Michael) Guo & Herbert Y. T. Lam & Sarah (Hong) Xiao, 2016. "Media Endorsements of New Product Announcements: A New Marketing Strategy," European Financial Management, European Financial Management Association, vol. 22(3), pages 394-426, June.
    13. V. Kumar & Bharath Rajan & Shaphali Gupta & Ilaria Dalla Pozza, 2019. "Customer engagement in service," Journal of the Academy of Marketing Science, Springer, vol. 47(1), pages 138-160, January.
    14. Liu, Zhenyuan & Geng, Ruoqi & Tse, Ying Kei (Mike) & Han, Shuihua, 2023. "Mapping the relationship between social media usage and organizational performance: A meta-analysis," Technological Forecasting and Social Change, Elsevier, vol. 187(C).
    Full references (including those not matched with items on IDEAS)

    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. Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun, 2022. "Past, present, and future of customer engagement," Journal of Business Research, Elsevier, vol. 140(C), pages 439-458.
    2. Abbasi, Amir Zaib & Tsiotsou, Rodoula H. & Hussain, Khalil & Rather, Raouf Ahmad & Ting, Ding Hooi, 2023. "Investigating the impact of social media images’ value, consumer engagement, and involvement on eWOM of a tourism destination: A transmittal mediation approach," Journal of Retailing and Consumer Services, Elsevier, vol. 71(C).
    3. 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.
    4. Halloran, Timothy J. & Lutz, Richard J., 2021. "Let's Give Them Something to Talk About: Which Social Media Engagements Predict Purchase Frequency?," Journal of Interactive Marketing, Elsevier, vol. 56(C), pages 83-95.
    5. 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.
    6. Myoung-Jin Chae, 2021. "Driving Consumer Engagement through Diverse Calls to Action in Corporate Social Responsibility Messages on Social Media," Sustainability, MDPI, vol. 13(7), pages 1-22, March.
    7. Li, You & Chang, Yaping & Liang, Zhehao, 2022. "Attracting more meaningful interactions: The impact of question and product types on comments on social media advertisings," Journal of Business Research, Elsevier, vol. 150(C), pages 89-101.
    8. Benevento, Elisabetta & Aloini, Davide & Roma, Paolo & Bellino, Davide, 2025. "The impact of influencers on brand social network growth: Insights from new product launch events on Twitter," Journal of Business Research, Elsevier, vol. 189(C).
    9. Shahbaznezhad, Hamidreza & Dolan, Rebecca & Rashidirad, Mona, 2021. "The Role of Social Media Content Format and Platform in Users' Engagement Behavior," Journal of Interactive Marketing, Elsevier, vol. 53(C), pages 47-65.
    10. Xitong Li, 2018. "Impact of Average Rating on Social Media Endorsement: The Moderating Role of Rating Dispersion and Discount Threshold," Information Systems Research, INFORMS, vol. 29(3), pages 739-754, September.
    11. Fangfang Li & Jorma Larimo & Leonidas C. Leonidou, 2021. "Social media marketing strategy: definition, conceptualization, taxonomy, validation, and future agenda," Journal of the Academy of Marketing Science, Springer, vol. 49(1), pages 51-70, January.
    12. Lauri Valkonen & Jouni Helske & Juha Karvanen, 2023. "Estimating the causal effect of timing on the reach of social media posts," Statistical Methods & Applications, Springer;Società Italiana di Statistica, vol. 32(2), pages 493-507, June.
    13. Yadav, Hitesha & Kumar Kar, Arpan & Kashiramka, Smita & Rana, Nripendra P., 2024. "How does change in CEOs' strategic orientations in their social media communication impact firm performance during crisis? A longitudinal study," Technological Forecasting and Social Change, Elsevier, vol. 208(C).
    14. Syrdal, Holly A. & Myers, Susan & Sen, Sandipan & Woodroof, Parker J. & McDowell, William C., 2023. "Influencer marketing and the growth of affiliates: The effects of language features on engagement behavior," Journal of Business Research, Elsevier, vol. 163(C).
    15. Adrian Waltenrath, 2024. "Consumers’ ambiguous perceptions of advertising disclosures in influencer marketing: Disentangling the effects on current and future social media engagement," Electronic Markets, Springer;IIM University of St. Gallen, vol. 34(1), pages 1-24, December.
    16. 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.
    17. Lijuan Bai & Xiangbin Yan, 2023. "Impact of social media capability on firm performance: new evidence from China," Asian Business & Management, Palgrave Macmillan, vol. 22(1), pages 118-136, February.
    18. Vasu Unnava & Ashwin Aravindakshan, 2021. "How does consumer engagement evolve when brands post across multiple social media?," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 864-881, September.
    19. 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.
    20. Roma, Paolo & Aloini, Davide, 2019. "How does brand-related user-generated content differ across social media? Evidence reloaded," Journal of Business Research, Elsevier, vol. 96(C), pages 322-339.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:eee:joreco:v:84:y:2025:i:c:s0969698924005095. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/journal-of-retailing-and-consumer-services .

    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.