IDEAS home Printed from https://ideas.repec.org/a/spr/infsem/v16y2018i1d10.1007_s10257-017-0339-x.html
   My bibliography  Save this article

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

Author

Listed:
  • 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, 2018. "Exploring user acceptance of streaming media devices: an extended perspective of flow theory," Information Systems and e-Business Management, Springer, vol. 16(1), pages 1-27, February.
  • Handle: RePEc:spr:infsem:v:16:y:2018:i:1:d:10.1007_s10257-017-0339-x
    DOI: 10.1007/s10257-017-0339-x
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s10257-017-0339-x
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.

    File URL: https://libkey.io/10.1007/s10257-017-0339-x?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    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. 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.
    6. 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.
    7. 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.
    8. 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.
    9. Margherita Pagani, 2004. "Determinants of adoption of third generation mobile multimedia services," Post-Print hal-02313098, HAL.
    10. Kim, Hongsoo & Kwon, Soonman & Yoon, Nan-He & Hyun, Kyung-Rae, 2013. "Utilization of long-term care services under the public long-term care insurance program in Korea: Implications of a subsidy policy," Health Policy, Elsevier, vol. 111(2), pages 166-174.
    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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Soren, Anup Anurag & Chakraborty, Shibashish, 2023. "The formation of habit and word-of-mouth intention of over-the-top platforms," Journal of Retailing and Consumer Services, Elsevier, vol. 75(C).
    2. Qin Yang & Young-Chan Lee, 2022. "What Drives the Digital Customer Experience and Customer Loyalty in Mobile Short-Form Video Shopping? Evidence from Douyin (TikTok)," Sustainability, MDPI, vol. 14(17), pages 1-19, August.
    3. Mengfan Li & Ting Wang & Wei Lu & Mengke Wang, 2022. "Optimizing the Systematic Characteristics of Online Learning Systems to Enhance the Continuance Intention of Chinese College Students," Sustainability, MDPI, vol. 14(18), pages 1-17, September.
    4. Hernan Talledo & Lucero Melissa Patino Sierra & Jimena Durand Mejia, 2023. "Plataformas de Streaming de musica: Influencia de variables sobre la intencion de compra(Music Streaming Platforms: Influence of variables on purchase intention)," Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), Revista Internacional de Gestión del Conocimiento y la Tecnología (GECONTEC), vol. 11(1), pages 17-34, January.
    5. Zheng, Shiyong & Chen, Jiada & Liao, Junyun & Hu, Hsin-Li, 2023. "What motivates users' viewing and purchasing behavior motivations in live streaming: A stream-streamer-viewer perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 72(C).
    6. 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.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. 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.
    2. Kim, Myung Ja & Lee, Choong-Ki & Bonn, Mark, 2017. "Obtaining a better understanding about travel-related purchase intentions among senior users of mobile social network sites," International Journal of Information Management, Elsevier, vol. 37(5), pages 484-496.
    3. Morgan-Thomas, Anna & Veloutsou, Cleopatra, 2013. "Beyond technology acceptance: Brand relationships and online brand experience," Journal of Business Research, Elsevier, vol. 66(1), pages 21-27.
    4. Wu, Ing-Long & Chen, Kuei-Wan & Chiu, Mai-Lun, 2016. "Defining key drivers of online impulse purchasing: A perspective of both impulse shoppers and system users," International Journal of Information Management, Elsevier, vol. 36(3), pages 284-296.
    5. Gao, Tao (Tony) & Rohm, Andrew J. & Sultan, Fareena & Pagani, Margherita, 2013. "Consumers un-tethered: A three-market empirical study of consumers' mobile marketing acceptance," Journal of Business Research, Elsevier, vol. 66(12), pages 2536-2544.
    6. Jumaan, Ibrahim A. & Hashim, Noor Hazarina & Al-Ghazali, Basheer M., 2020. "The role of cognitive absorption in predicting mobile internet users’ continuance intention: An extension of the expectation-confirmation model," Technology in Society, Elsevier, vol. 63(C).
    7. Pantano, Eleonora & Rese, Alexandra & Baier, Daniel, 2017. "Enhancing the online decision-making process by using augmented reality: A two country comparison of youth markets," Journal of Retailing and Consumer Services, Elsevier, vol. 38(C), pages 81-95.
    8. Nedra, Bahri-Ammari & Hadhri, Walid & Mezrani, Mariem, 2019. "Determinants of customers' intentions to use hedonic networks: The case of Instagram," Journal of Retailing and Consumer Services, Elsevier, vol. 46(C), pages 21-32.
    9. Riffat Ara Zannat Tama & Md Mahmudul Hoque & Ying Liu & Mohammad Jahangir Alam & Mark Yu, 2023. "An Application of Partial Least Squares Structural Equation Modeling (PLS-SEM) to Examining Farmers’ Behavioral Attitude and Intention towards Conservation Agriculture in Bangladesh," Agriculture, MDPI, vol. 13(2), pages 1-22, February.
    10. Yu-Jin Choi & Jin-Woo Park, 2020. "Investigating Factors Influencing the Behavioral Intention of Online Duty-Free Shop Users," Sustainability, MDPI, vol. 12(17), pages 1-20, August.
    11. Andrei OGREZEANU, 2015. "Models Of Technology Adoption: An Integrative Approach," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 5, pages 55-67, June.
    12. Verhagen. T. & Feldberg, F. & Hooff, B. van den, 2008. "Explaining user adoption of virtual worlds: towards a multipurpose Explaining user adoption of virtual worlds: towards a multipurpose motivational model," Serie Research Memoranda 0006, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.
    13. Barta, Sergio & Flavián, Carlos & Gurrea, Raquel, 2021. "Managing consumer experience and online flow: Differences in handheld devices vs PCs," Technology in Society, Elsevier, vol. 64(C).
    14. Weiyin Hong & Frank K. Y. Chan & James Y. L. Thong & Lewis C. Chasalow & Gurpreet Dhillon, 2014. "A Framework and Guidelines for Context-Specific Theorizing in Information Systems Research," Information Systems Research, INFORMS, vol. 25(1), pages 111-136, March.
    15. Nicole Koenig-Lewis & Morgan Marquet & Adrian Palmer & Anita Lifen Zhao, 2015. "Enjoyment and social influence: predicting mobile payment adoption," The Service Industries Journal, Taylor & Francis Journals, vol. 35(10), pages 537-554, July.
    16. Wen-Lung Shiau & Yogesh K. Dwivedi, 2013. "Citation and co-citation analysis to identify core and emerging knowledge in electronic commerce research," Scientometrics, Springer;Akadémiai Kiadó, vol. 94(3), pages 1317-1337, March.
    17. Harry Bouwman & Mark de Reuver & Alex Visser, 2010. "Understanding Adoption of Mobile Service Bundles," Chapters, in: Morten Falch & Jan Markendahl (ed.), Promoting New Telecom Infrastructures, chapter 13, Edward Elgar Publishing.
    18. Youn Kang & Won Lee, 2015. "Self-customization of online service environments by users and its effect on their continuance intention," Service Business, Springer;Pan-Pacific Business Association, vol. 9(2), pages 321-342, June.
    19. Sarv Devaraj & Ming Fan & Rajiv Kohli, 2002. "Antecedents of B2C Channel Satisfaction and Preference: Validating e-Commerce Metrics," Information Systems Research, INFORMS, vol. 13(3), pages 316-333, September.
    20. Mollen, Anne & Wilson, Hugh, 2010. "Engagement, telepresence and interactivity in online consumer experience: Reconciling scholastic and managerial perspectives," Journal of Business Research, Elsevier, vol. 63(9-10), pages 919-925, September.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:infsem:v:16:y:2018:i:1:d:10.1007_s10257-017-0339-x. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.