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Topic Modeling Analysis of Social Enterprises: Twitter Evidence

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  • Shr-Wei Kao

    (Department of Business Administration, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan)

  • Pin Luarn

    (Department of Business Administration, National Taiwan University of Science and Technology, Taipei City 10607, Taiwan)

Abstract

Social media is a major channel used for communication by professional and social groups. The text posted on social media contains extremely rich information. To capture the development of social enterprises (SEs), this paper examines the tweets posted on Twitter and searches the hashtags on the Twitter Application Programming Interface (API) that SEs deem to be the most important. The results suggest that these tweets can be divided into three content groups (strategy, impact and business). This paper expands this into four dimensions (strategy, impact, business and people) and six indicators (social, opportunity, change, enterprise, network and team) and establishes a conceptual framework of SEs. This paper aims to enhance the understanding of the pertinent issues recently affecting SEs and extract findings that can act as a reference for follow-up studies.

Suggested Citation

  • Shr-Wei Kao & Pin Luarn, 2020. "Topic Modeling Analysis of Social Enterprises: Twitter Evidence," Sustainability, MDPI, vol. 12(8), pages 1-20, April.
    • Handle: RePEc:gam:jsusta:v:12:y:2020:i:8:p:3419-:d:349068
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    2. Retno Kusumastuti & Mesnan Silalahi & Anugerah Yuka Asmara & Ria Hardiyati & Vishnu Juwono, 2022. "Finding the context indigenous innovation in village enterprise knowledge structure: a topic modeling," Journal of Innovation and Entrepreneurship, Springer, vol. 11(1), pages 1-15, December.
    3. Junjie Lv & Zichen Wang & Yuqing Huang & Tong Wang & Yuanzhuo Wang, 2020. "How Can E-Commerce Businesses Implement Discount Strategies through Social Media?," Sustainability, MDPI, vol. 12(18), pages 1-19, September.

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