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Exploring user acceptance of streaming media devices: an extended perspective of flow theory

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  • Heetae Yang

    (Samsung Economic Research Institute)

  • Hwansoo Lee

    (Dankook University)

Abstract

Streaming media devices have recently become one of the innovative IT devices used to replace traditional smart TV sets. In order to examine user acceptance of streaming media device, this study proposes an extended research model based upon flow theory and investigates the relationship among flow, perceived usefulness, product-related characteristics (i.e., content quality, functionality, ease of use, portability), and a manufacturer-related characteristic (i.e., trust). Partial least square methodology was employed to test the proposed model and corresponding hypotheses on data collected from 305 survey samples. The results showed that flow and perceived usefulness, two mediating variables, has a significant influence on usage intention. Among the four antecedents reflecting product-related attributes, content quality has the strongest effect on flow. Interestingly, functionality and ease of use affected only perceived usefulness in an indirect way through flow. Thus, flow mediates the effect of functionality and ease of use on perceived usefulness. This study discusses a number of implications and offers insights useful for both researchers and practitioners.

Suggested Citation

  • Heetae Yang & Hwansoo Lee, 0. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 0, pages 1-27.
    • Handle: RePEc:spr:infsem:v::y::i::d:10.1007_s10257-017-0339-x
    DOI: 10.1007/s10257-017-0339-x
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    1. Ajzen, Icek, 1991. "The theory of planned behavior," Organizational Behavior and Human Decision Processes, Elsevier, vol. 50(2), pages 179-211, December.
    2. Teo, Thompson S.H. & Liu, Jing, 2007. "Consumer trust in e-commerce in the United States, Singapore and China," Omega, Elsevier, vol. 35(1), pages 22-38, February.
    3. Hausman, Angela V. & Siekpe, Jeffrey Sam, 2009. "The effect of web interface features on consumer online purchase intentions," Journal of Business Research, Elsevier, vol. 62(1), pages 5-13, January.
    4. Marios Koufaris, 2002. "Applying the Technology Acceptance Model and Flow Theory to Online Consumer Behavior," Information Systems Research, INFORMS, vol. 13(2), pages 205-223, June.
    5. Unknown, 2013. "Program Agenda," 2013: Employment, Immigration and Trade, December 15-17, 2013, Clearwater Beach, Florida 182473, International Agricultural Trade Research Consortium.
    6. Jungwoo Shin & Yuri Park & Daeho Lee, 2015. "Google TV or Apple TV?—The Reasons for Smart TV Failure and a User-Centered Strategy for the Success of Smart TV," Sustainability, MDPI, vol. 7(12), pages 1-12, December.
    7. Se-Joon Hong & Kar Yan Tam, 2006. "Understanding the Adoption of Multipurpose Information Appliances: The Case of Mobile Data Services," Information Systems Research, INFORMS, vol. 17(2), pages 162-179, June.
    8. Teo, Thompson S. H. & Lim, Vivien K. G. & Lai, Raye Y. C., 1999. "Intrinsic and extrinsic motivation in Internet usage," Omega, Elsevier, vol. 27(1), pages 25-37, February.
    9. Thomas P. Novak & Donna L. Hoffman & Yiu-Fai Yung, 2000. "Measuring the Customer Experience in Online Environments: A Structural Modeling Approach," Marketing Science, INFORMS, vol. 19(1), pages 22-42, May.
    10. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    11. Wynne W. Chin & Barbara L. Marcolin & Peter R. Newsted, 2003. "A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic-Mail Emotion/Adoption Study," Information Systems Research, INFORMS, vol. 14(2), pages 189-217, June.
    12. Viswanath Venkatesh & Fred D. Davis, 2000. "A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies," Management Science, INFORMS, vol. 46(2), pages 186-204, February.
    13. Piyush Kumar & Mayukh Dass & Omer Topaloglu, 2011. "Exploring satisfaction in business-to-business services: a path-analytic approach," Service Business, Springer;Pan-Pacific Business Association, vol. 5(1), pages 13-27, March.
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    Cited by:

    1. Younghoon Chang & Siew Fan Wong & Christian Fernando Libaque-Saenz & Hwansoo Lee, 2019. "e-Commerce Sustainability: The Case of Pinduoduo in China," Sustainability, MDPI, vol. 11(15), pages 1-23, July.
    2. Heetae Yang & Hwansoo Lee, 2019. "Understanding user behavior of virtual personal assistant devices," Information Systems and e-Business Management, Springer, vol. 17(1), pages 65-87, March.

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