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Comparing information completeness in brand-related user-generated content media

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  • Park, Sanghyun
  • Lee, Sungjoo

Abstract

Due to the contemporary globalized environment, business demands have become more dynamic and complex. Companies need to capture such demands to sustain and grow further in the market, for which various sources of information have been exploited. One of these is brand-related media. UGC from the media platform includes rich information on customer opinions and feedback for products and services. Recognizing the value of UGC, previous studies have proposed an approach to extract customer needs from media platforms. However, most of these studies have focused only on a single UGC platform, whereas diverse brand-related media exist and provide heterogeneous information. To address this issue, we develop a framework to evaluate the characteristics of brand-related UGC information and compare four different UGC media, including Amazon, ProQuest, Reddit, and YouTube, in terms of how rich they are in providing semantic, sentimental, and trend information based on a quantitative approach. The research results indicate that brand-related UGC media can have their own distinguishing features in the information they provide and thus need to be carefully adopted for market research. These findings offer meaningful implications for the use of brand-related UGC to identify innovation opportunities based on market needs.

Suggested Citation

  • Park, Sanghyun & Lee, Sungjoo, 2025. "Comparing information completeness in brand-related user-generated content media," Technological Forecasting and Social Change, Elsevier, vol. 214(C).
  • Handle: RePEc:eee:tefoso:v:214:y:2025:i:c:s0040162525000794
    DOI: 10.1016/j.techfore.2025.124048
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    References listed on IDEAS

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    1. Chang, Yung-Chun & Ku, Chih-Hao & Chen, Chun-Hung, 2019. "Social media analytics: Extracting and visualizing Hilton hotel ratings and reviews from TripAdvisor," International Journal of Information Management, Elsevier, vol. 48(C), pages 263-279.
    2. Kaplan, Andreas M. & Haenlein, Michael, 2010. "Users of the world, unite! The challenges and opportunities of Social Media," Business Horizons, Elsevier, vol. 53(1), pages 59-68, January.
    3. Xu, Xun & Wang, Xuequn & Li, Yibai & Haghighi, Mohammad, 2017. "Business intelligence in online customer textual reviews: Understanding consumer perceptions and influential factors," International Journal of Information Management, Elsevier, vol. 37(6), pages 673-683.
    4. Mariani, Marcello M. & Nambisan, Satish, 2021. "Innovation Analytics and Digital Innovation Experimentation: The Rise of Research-driven Online Review Platforms," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    5. Lee, In, 2018. "Social media analytics for enterprises: Typology, methods, and processes," Business Horizons, Elsevier, vol. 61(2), pages 199-210.
    6. Kietzmann, Jan H. & Hermkens, Kristopher & McCarthy, Ian P. & Silvestre, Bruno S., 2011. "Social media? Get serious! Understanding the functional building blocks of social media," Business Horizons, Elsevier, vol. 54(3), pages 241-251, May.
    7. Bhimani, Hardik & Mention, Anne-Laure & Barlatier, Pierre-Jean, 2019. "Social media and innovation: A systematic literature review and future research directions," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 251-269.
    8. Zhan, Yuanzhu & Han, Runyue & Tse, Mike & Ali, Mohd Helmi & Hu, Jiayao, 2021. "A social media analytic framework for improving operations and service management: A study of the retail pharmacy industry," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    9. 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.
    10. Jeong, Byeongki & Yoon, Janghyeok & Lee, Jae-Min, 2019. "Social media mining for product planning: A product opportunity mining approach based on topic modeling and sentiment analysis," International Journal of Information Management, Elsevier, vol. 48(C), pages 280-290.
    11. Zhu, Yu-Qian & Chen, Houn-Gee, 2015. "Social media and human need satisfaction: Implications for social media marketing," Business Horizons, Elsevier, vol. 58(3), pages 335-345.
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