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Investigating online social media users’ behaviors for social commerce recommendations

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  • Liao, Shu-Hsien
  • Widowati, Retno
  • Hsieh, Yu-Chieh

Abstract

Online social media create virtual communities and network platforms that people use to create, share, and exchange opinions, views and experiences. With social networks, social commerce not only relies on commerce, but online social media can also promote the sale of goods or services online. Many online operators have begun to use recommendation systems to analyze customer purchase history and identify individual products that customers may purchase. This enables the company to send product information to consumers to attract their attention. In addition, consumers have a higher purchase rate for recommended products based on consumer data. Based on a survey in Taiwan society, this study uses the questionnaire survey method to collect data on a relational database. This study investigates Taiwan online social media users’ behaviors using data mining methods, including clustering analysis and association rules. Clustering analysis is to investigate possible profiles of users and association rules are to find knowledge patterns and rules of user profiles, online social media usage motivation/preferences and social commerce behavior in order to generate social commerce recommendations in terms of social technology development in the modern society.

Suggested Citation

  • Liao, Shu-Hsien & Widowati, Retno & Hsieh, Yu-Chieh, 2021. "Investigating online social media users’ behaviors for social commerce recommendations," Technology in Society, Elsevier, vol. 66(C).
  • Handle: RePEc:eee:teinso:v:66:y:2021:i:c:s0160791x21001305
    DOI: 10.1016/j.techsoc.2021.101655
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    References listed on IDEAS

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    1. Yin, Xicheng & Wang, Hongwei & Wang, Wei & Zhu, Kevin, 2020. "Task recommendation in crowdsourcing systems: A bibliometric analysis," Technology in Society, Elsevier, vol. 63(C).
    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. Mashal, Ibrahim & Alsaryrah, Osama & Chung, Tein-Yaw & Yuan, Fong-Ching, 2020. "A multi-criteria analysis for an internet of things application recommendation system," Technology in Society, Elsevier, vol. 60(C).
    4. Yang, Xue, 2021. "Determinants of consumers’ continuance intention to use social recommender systems: A self-regulation perspective," Technology in Society, Elsevier, vol. 64(C).
    5. Nadeem, Waqar & Khani, Amir H. & Schultz, Carsten D. & Adam, Nawal Abdalla & Attar, Razaz Waheeb & Hajli, Nick, 2020. "How social presence drives commitment and loyalty with online brand communities? the role of social commerce trust," Journal of Retailing and Consumer Services, Elsevier, vol. 55(C).
    6. Liao, Shu-Hsien & Yang, Ling-Ling, 2020. "Mobile payment and online to offline retail business models," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    7. Marchand, André & Marx, Paul, 2020. "Automated Product Recommendations with Preference-Based Explanations," Journal of Retailing, Elsevier, vol. 96(3), pages 328-343.
    8. Ali Abumalloh, Rabab & Ibrahim, Othman & Nilashi, Mehrbakhsh, 2020. "Loyalty of young female Arabic customers towards recommendation agents: A new model for B2C E-commerce," Technology in Society, Elsevier, vol. 61(C).
    9. Siyam, Nur & Alqaryouti, Omar & Abdallah, Sherief, 2020. "Mining government tweets to identify and predict citizens engagement," Technology in Society, Elsevier, vol. 60(C).
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