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

Peter Ractham, Charlie C. Chen and Siriporn Srisawas
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Peter Ractham: Thammasat Business School, Thailand
Charlie C. Chen: Appalachian State University, US
Siriporn Srisawas: Thammasat Business School, Thailand

International Journal of Management, Knowledge and Learning, 2012, vol. 1, issue 2, 173-188

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.

Keywords: social network; social technology; e-learning (search for similar items in EconPapers)
Date: 2012
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