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A study of virtual product consumption from the expectancy disconfirmation and symbolic consumption perspectives

Author

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  • Wei-Tsong Wang

    (National Cheng Kung University)

  • Wen-Hung Chang

    (National Cheng Kung University)

Abstract

Researchers have not specifically considered the determinants of satisfaction and repurchase intention with regard to virtual products. Using the expectancy disconfirmation model and symbolic consumption theory, this study presents and empirically examines a model of customer satisfaction and repurchase intention in this context. Using structural equation modeling to analyze the data collected from 477 consumers of virtual products, this study validates the influence of perceived customization and perceived sociability on customer satisfaction and repurchase intention with regard to virtual products. Additionally, this study statistically confirms the important mediating roles of outcome expectations and perceived quality in the indirect effects of perceived customization and perceived sociability on customer satisfaction. This study also verifies that customer satisfaction is a critical mediator of the indirect influence of the other four constructs in the proposed model on the consumers’ repurchase intention with regard to virtual products.

Suggested Citation

  • Wei-Tsong Wang & Wen-Hung Chang, 2014. "A study of virtual product consumption from the expectancy disconfirmation and symbolic consumption perspectives," Information Systems Frontiers, Springer, vol. 16(5), pages 887-908, November.
    • Handle: RePEc:spr:infosf:v:16:y:2014:i:5:d:10.1007_s10796-012-9389-2
    DOI: 10.1007/s10796-012-9389-2
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    4. Yulei Gavin Zhang & Mandy Yan Dang & Hsinchun Chen, 2020. "An Explorative Study on the Virtual World: Investigating the Avatar Gender and Avatar Age Differences in their Social Interactions for Help-Seeking," Information Systems Frontiers, Springer, vol. 22(4), pages 911-925, August.
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    7. Jongchang Ahn & Kyungran Ma & Ook Lee & Suaini Sura, 2017. "Do big data support TV viewing rate forecasting? A case study of a Korean TV drama," Information Systems Frontiers, Springer, vol. 19(2), pages 411-420, April.
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