IDEAS home Printed from https://ideas.repec.org/p/net/wpaper/2306.html
   My bibliography  Save this paper

Social Media Publicity and New Product Entry via Entrepreneurs

Author

Listed:
  • Tong Guo

    (Fuqua School of Business, Duke University, 100 Fuqua Drive, Durham, NC 27708)

  • Boya Xu

    (Fuqua School of Business, Duke University, 100 Fuqua Drive, Durham, NC 27708)

  • Daniel Yi Xu

    (Department of Economics, Duke University, 213 Social Science Building, 419 Chapel Drive, Durham, NC 27708)

Abstract

We study the early-stage adoption of impossible meat products by local businesses, overcoming the common challenges in understanding new product entries via local intermediaries: 1) empirically tracking intermediary decisions at scale in a timely manner is difficult if not at all impossible; 2) marketing communications for the innovation is largely endogenous to unobserved demand shocks, making it hard to causally identify the driving factors behind the innovation adoption. Focusing on the key producers in their US market debut between 2015-2019, we construct a novel location-specific adoption metric that accurately measures the decisions of local intermediaries, and link it to comprehensive marketing communication extracted from social media corpus using Natural Language Processing. Using an identification strategy interacting the global shocks in news content with pre-determined local shares of topic-specific news consumption, we find that local news mentioning the innovation increases the regional adoption of impossible meat products by intermediaries. Interestingly, news content about producer financials appears to be as important as content about sustainability in driving local adoption of impossible meat products. We conjecture that financial news plays a role in boosting the perceived market potential of the innovation both by signaling the trustworthiness of the technology (thus lower uncertainty) and by reinforcing the trendiness of the technology (thus providing free marketing to small businesses who adopted the innovation). We further explore news topic heterogeneities by socio-economic conditions and timing.

Suggested Citation

  • Tong Guo & Boya Xu & Daniel Yi Xu, 2023. "Social Media Publicity and New Product Entry via Entrepreneurs," Working Papers 23-06, NET Institute.
  • Handle: RePEc:net:wpaper:2306
    as

    Download full text from publisher

    File URL: http://www.netinst.org/Guo_23-06.pdf
    Download Restriction: no
    ---><---

    More about this item

    Keywords

    innovation; new product entry; entrepreneurship; social media marketing; news; sustainability; health; natural language processing; topic modeling;
    All these keywords.

    JEL classification:

    • C14 - Mathematical and Quantitative Methods - - Econometric and Statistical Methods and Methodology: General - - - Semiparametric and Nonparametric Methods: General
    • C81 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs - - - Methodology for Collecting, Estimating, and Organizing Microeconomic Data; Data Access
    • D40 - Microeconomics - - Market Structure, Pricing, and Design - - - General
    • L10 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - General
    • L11 - Industrial Organization - - Market Structure, Firm Strategy, and Market Performance - - - Production, Pricing, and Market Structure; Size Distribution of Firms
    • M31 - Business Administration and Business Economics; Marketing; Accounting; Personnel Economics - - Marketing and Advertising - - - Marketing
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    NEP fields

    This paper has been announced in the following NEP Reports:

    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:net:wpaper:2306. 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.

    We have no bibliographic references for this item. You can help adding them by using 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: Nicholas Economides (email available below). General contact details of provider: http://www.NETinst.org/ .

    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.