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Negative e-WOM Resulting from Political Posts on Social Media: A Case Study of a Small Retailer’s Struggle over Time

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  • Jennifer Johnson Jorgensen

    (Department of Textiles, Merchandising & Fashion Design, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

  • Katelyn Sorensen

    (Department of Textiles, Merchandising & Fashion Design, University of Nebraska-Lincoln, Lincoln, NE 68588, USA)

Abstract

Consumers have been advocating for a variety of causes, and in turn, retailers are expressing their political opinions through social-media posts in hopes of aligning with their customers’ views. This study looks at a single case in which customers reacted to a retailer’s political opinion posted on a social media account. Data was collected at the time of the retailer’s political post and up to three years afterward. Content analysis was employed to identify themes from the customer reviews posted, and four themes were identified. Of significance, this study found that customers of a retail store typically merge feelings on the retailer’s product and political post or the retailer’s service and the political post within their social media responses. Thus, a majority of customers in this case were not exclusively focused on battling the political post on social media. Also, a shift in customers’ opinions of the retailer shifted positively over time.

Suggested Citation

  • Jennifer Johnson Jorgensen & Katelyn Sorensen, 2021. "Negative e-WOM Resulting from Political Posts on Social Media: A Case Study of a Small Retailer’s Struggle over Time," Social Sciences, MDPI, vol. 10(9), pages 1-11, August.
  • Handle: RePEc:gam:jscscx:v:10:y:2021:i:9:p:318-:d:620352
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    References listed on IDEAS

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    1. Bernard J. Jansen & Mimi Zhang & Kate Sobel & Abdur Chowdury, 2009. "Twitter power: Tweets as electronic word of mouth," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 60(11), pages 2169-2188, November.
    2. 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.
    3. Ana Isabel Canhoto & Dirk vom Lehn & Finola Kerrigan & Cagri Yalkin & Marc Braun & Nicola Steinmetz, 2015. "Fall and redemption: Monitoring and engaging in social media conversations during a crisis," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1084978-108, December.
    4. Paniagua, Jordi & Sapena, Juan, 2014. "Business performance and social media: Love or hate?," Business Horizons, Elsevier, vol. 57(6), pages 719-728.
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    Cited by:

    1. Rafael Villa & Marta Serrano & Tomás García & Gema González, 2023. "To Green or Not to Green: The E-Commerce-Delivery Question," Sustainability, MDPI, vol. 15(16), pages 1-21, August.

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