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Analysis of user characteristics regarding social network services in South Korea using the multivariate probit model

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  • Koo, Yoonmo
  • Lim, Sesil
  • Kim, Kayoung
  • Cho, Youngsang

Abstract

Understanding user choices and patterns regarding social network services (SNSs) is crucial for companies wanting to communicate with potential customers through this medium. This study suggests an empirical model that analyzes the effects of user characteristics, such as the main objectives, SNS and internet usage patterns, and socioeconomic background, on the choice of SNSs and their usage. We consider that a user may use multiple SNSs and estimate the consumer utility function with the multivariate probit model among four representative SNSs: Cyworld, Twitter, Facebook, and Me2day. The empirical analysis shows that user characteristics differ in terms of SNS and internet access times, devices generally used to access the SNS(s), main objectives of using the SNS(s), installation of SNS application(s) on smartphones, most frequently used portal site, and socioeconomic factors. We conclude that companies can utilize different SNSs as their communication channel with potential consumers, depending on their underlying purpose. For instance, companies that want to conduct target marketing may use Facebook, while those wanting to disseminate product-related information quickly are better off using Twitter. In addition, we find differences in the synergetic effect between portal services and SNSs for companies providing both services simultaneously.

Suggested Citation

  • Koo, Yoonmo & Lim, Sesil & Kim, Kayoung & Cho, Youngsang, 2014. "Analysis of user characteristics regarding social network services in South Korea using the multivariate probit model," Technological Forecasting and Social Change, Elsevier, vol. 88(C), pages 232-240.
    • Handle: RePEc:eee:tefoso:v:88:y:2014:i:c:p:232-240
    DOI: 10.1016/j.techfore.2014.07.001
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    References listed on IDEAS

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    1. Puneet Manchanda & Asim Ansari & Sunil Gupta, 1999. "The “Shopping Basket”: A Model for Multicategory Purchase Incidence Decisions," Marketing Science, INFORMS, vol. 18(2), pages 95-114.
    2. Baltas, George, 2004. "A model for multiple brand choice," European Journal of Operational Research, Elsevier, vol. 154(1), pages 144-149, April.
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    1. Karikari, Serwaa & Osei-Frimpong, Kofi & Owusu-Frimpong, Nana, 2017. "Evaluating individual level antecedents and consequences of social media use in Ghana," Technological Forecasting and Social Change, Elsevier, vol. 123(C), pages 68-79.
    2. Russell Triplett & Chiradip Chatterjee & Christopher K. Johnson & Parvez Ahmed, 2019. "Perceptions of Quality and Household Water Usage: A Representative Study in Jacksonville, FL," International Advances in Economic Research, Springer;International Atlantic Economic Society, vol. 25(2), pages 195-208, May.
    3. Wang, Xiaokun Cara & Kim, Woojung & Zhang, Dapeng, 2023. "What to do in response to toll increases: A behavioral analysis of freight carriers in New York State," Transportation Research Part A: Policy and Practice, Elsevier, vol. 173(C).

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