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Affective and Social Factors Influencing the Continuance Intention of Using Social Technology for the Case-based Learning

Author

Listed:
  • Peter Ractham

    (Thammasat Business School, Thailand)

  • Charlie C. Chen

    (Appalachian State University, US)

  • Siriporn Srisawas

    (Thammasat Business School, Thailand)

Abstract

The proliferation of social technology poses both a threat and an opportunity for the delivery of traditional case method learning in business schools. This paper extends the expectation confirmation model (ECM) to examine the possibility of delivering the case method learning via social technology. Our regression analysis shows that, in addition to affective factors, the social factor of information and knowledge sharing can help improve the accuracy of predicting a student’s continuance intention of using social technology in case method learning. The analysis result leads to theoretical and empirical findings for business schools to consider adopting social technology as the next-generation tool for case method teaching.

Suggested Citation

  • Peter Ractham & Charlie C. Chen & Siriporn Srisawas, 2012. "Affective and Social Factors Influencing the Continuance Intention of Using Social Technology for the Case-based Learning," International Journal of Management, Knowledge and Learning, International School for Social and Business Studies, Celje, Slovenia, vol. 1(2), pages 173-188.
  • Handle: RePEc:isv:jouijm:v:1:y:2012:i:2:p:173-188
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    References listed on IDEAS

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    1. 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.
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    Keywords

    social network; social technology; e-learning;

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