IDEAS home Printed from https://ideas.repec.org/a/sae/metjou/v23y2024i2p142-157.html

Predicting THE Determinants of Mobile TV Adoption in an Emerging Market: Moderating Effect of Gender and Age

Author

Listed:
  • Khushbu Madan
  • Rajan Yadav
  • Dimpy Sachar

Abstract

This article focuses on the impact of consumer-centric factors on the adoption of mobile TV in an emerging market, considering the widespread use of mobile technologies worldwide. It aims to explore the motivations behind users’ utilization of mobile TV and over-the-top platforms in the era of digitalization. The study identifies eight independent factors affecting mobile TV adoption intention, grouped using a three-dimensional THE (technology, human, and environment) framework. Data was collected from 324 smartphone users to test the hypothesized relationships using covariance based structural equation modeling (CB-SEM) analysis. Further, moderating effect of gender and age was studied on the proposed relationships. The findings revealed that factors such as cost, content, perceived enjoyment, individual viewing experience, social influence, and convenience play a significant role in the successful adoption of mobile TV. On the other hand, app switching and technology readiness were found to be statistically insignificant. The results offer valuable insights to industry players regarding consumers’ adoption behaviour of mobile TV, helping them minimize business risks and focus their efforts, resources, and investments on profitable innovations. The study is first of its kind in India and adds two relatively new factors, that is individual viewing experience and app-switching, to the existing literature on technology adoption theories.

Suggested Citation

  • Khushbu Madan & Rajan Yadav & Dimpy Sachar, 2024. "Predicting THE Determinants of Mobile TV Adoption in an Emerging Market: Moderating Effect of Gender and Age," Metamorphosis: A Journal of Management Research, , vol. 23(2), pages 142-157, December.
  • Handle: RePEc:sae:metjou:v:23:y:2024:i:2:p:142-157
    DOI: 10.1177/09726225241282729
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/09726225241282729
    Download Restriction: no

    File URL: https://libkey.io/10.1177/09726225241282729?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
    ---><---

    References listed on IDEAS

    as
    1. Lian, Jiunn-Woei & Yen, David C. & Wang, Yen-Ting, 2014. "An exploratory study to understand the critical factors affecting the decision to adopt cloud computing in Taiwan hospital," International Journal of Information Management, Elsevier, vol. 34(1), pages 28-36.
    2. Anurag Tiruwa & Rajan Yadav & Pradeep Kumar Suri, 2018. "Moderating effects of age, income and internet usage on Online Brand Community (OBC)-induced purchase intention," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 15(3), pages 367-392, March.
    3. Choi, Yung Kyun & Totten, Jeff W., 2012. "Self-construal's role in mobile TV acceptance: Extension of TAM across cultures," Journal of Business Research, Elsevier, vol. 65(11), pages 1525-1533.
    4. Viswanath Venkatesh, 2000. "Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model," Information Systems Research, INFORMS, vol. 11(4), pages 342-365, December.
    5. Tao Zhou, 2013. "The effect of flow experience on user adoption of mobile TV," Behaviour and Information Technology, Taylor & Francis Journals, vol. 32(3), pages 263-272.
    6. Robert W. Zmud, 1979. "Individual Differences and MIS Success: A Review of the Empirical Literature," Management Science, INFORMS, vol. 25(10), pages 966-979, October.
    7. Anurag Tiruwa & Rajan Yadav & Pradeep Kumar Suri, 2018. "Moderating effects of age, income and internet usage on Online Brand Community (OBC)-induced purchase intention," Journal of Advances in Management Research, Emerald Group Publishing Limited, vol. 15(3), pages 367-392, March.
    8. Natarajan, Thamaraiselvan & Balasubramanian, Senthil Arasu & Kasilingam, Dharun Lingam, 2017. "Understanding the intention to use mobile shopping applications and its influence on price sensitivity," Journal of Retailing and Consumer Services, Elsevier, vol. 37(C), pages 8-22.
    9. Yee-Loong Chong, Alain & Liu, Martin J. & Luo, Jun & Keng-Boon, Ooi, 2015. "Predicting RFID adoption in healthcare supply chain from the perspectives of users," International Journal of Production Economics, Elsevier, vol. 159(C), pages 66-75.
    10. Margherita Pagani, 2011. "When usefulness does not matter : affective versus cognitive components in the adoption of mobile TV services," Post-Print hal-02313109, HAL.
    11. Huiying Du & Ge Zhu & Limin Zhao & Tingjie Lv, 2012. "An empirical study of consumer adoption on 3G value‐added services in China," Nankai Business Review International, Emerald Group Publishing Limited, vol. 3(3), pages 257-283, August.
    12. Debashis Saha, 2017. "Categorisation of Telecom Circles in India: Do We Need to Have a Relook from the Mobile Diffusion Perspective?," International Journal of Technology Diffusion (IJTD), IGI Global Scientific Publishing, vol. 8(1), pages 33-51, January.
    13. Margherita Pagani & Alessandra Mirabello, 2011. "The influence of personal and social interactive engagement in social TV websites," Post-Print hal-02313091, HAL.
    Full references (including those not matched with items on IDEAS)

    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. Rodríguez-López, María Eugenia & Higueras-Castillo, Elena & Rojas-Lamorena, Álvaro J. & Alcántara-Pilar, Juan Miguel, 2024. "The future of TV-shopping: predicting user purchase intention through an extended technology acceptance model," Technological Forecasting and Social Change, Elsevier, vol. 198(C).
    2. Zhang, Wenqing & Liu, Liangliang, 2022. "Exploring non-users' intention to adopt ride-sharing services: Taking into account increased risks due to the COVID-19 pandemic among other factors," Transportation Research Part A: Policy and Practice, Elsevier, vol. 158(C), pages 180-195.
    3. Liébana-Cabanillas, Francisco & Marinkovic, Veljko & Ramos de Luna, Iviane & Kalinic, Zoran, 2018. "Predicting the determinants of mobile payment acceptance: A hybrid SEM-neural network approach," Technological Forecasting and Social Change, Elsevier, vol. 129(C), pages 117-130.
    4. Pillai, Rajasshrie & Sivathanu, Brijesh & Dwivedi, Yogesh K., 2020. "Shopping intention at AI-powered automated retail stores (AIPARS)," Journal of Retailing and Consumer Services, Elsevier, vol. 57(C).
    5. Fosso Wamba, Samuel & Bhattacharya, Mithu & Trinchera, Laura & Ngai, Eric W.T., 2017. "Role of intrinsic and extrinsic factors in user social media acceptance within workspace: Assessing unobserved heterogeneity," International Journal of Information Management, Elsevier, vol. 37(2), pages 1-13.
    6. Purvi Mathur & Vidhu K Mathur, 2023. "Consumer Purchase Intention and Behavior Toward Cloud Kitchen (Pandemic Opportunity) with Reference to India: An Empirical Examination," Jindal Journal of Business Research, , vol. 12(2), pages 194-208, December.
    7. van Bruggen, G.H. & Wierenga, B., 2005. "When are CRM Systems Successful? The Perspective of the User and of the Organization," ERIM Report Series Research in Management ERS-2005-048-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Habes, Mohammed & Elareshi, Mokhtar & Almansoori, Ahmed & Ziani, Abdulkrim & Alsridi, Hatem, 2022. "Smart interaction and social TV used by Jordanian University students," Technology in Society, Elsevier, vol. 71(C).
    9. Julian M. Müller, 2019. "Comparing Technology Acceptance for Autonomous Vehicles, Battery Electric Vehicles, and Car Sharing—A Study across Europe, China, and North America," Sustainability, MDPI, vol. 11(16), pages 1-17, August.
    10. Li Hua & Shanyong Wang, 2019. "Antecedents of Consumers’ Intention to Purchase Energy-Efficient Appliances: An Empirical Study Based on the Technology Acceptance Model and Theory of Planned Behavior," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    11. Rajak, Manindra & Shaw, Krishnendu, 2021. "An extension of technology acceptance model for mHealth user adoption," Technology in Society, Elsevier, vol. 67(C).
    12. Martínez-Torres, M.R. & Díaz-Fernández, M.C. & Toral, S.L. & Barrero, F., 2015. "The moderating role of prior experience in technological acceptance models for ubiquitous computing services in urban environments," Technological Forecasting and Social Change, Elsevier, vol. 91(C), pages 146-160.
    13. Amita Venkatesh & P. Aruna, 2025. "Decoding millennial’s online apparel shopping: the role of e-commerce experience as a mediator and income as a moderator," DECISION: Official Journal of the Indian Institute of Management Calcutta, Springer;Indian Institute of Management Calcutta, vol. 52(1), pages 55-81, March.
    14. Wenqing Zhang & Liangliang Liu, 2022. "How consumers’ adopting intentions towards eco-friendly smart home services are shaped? An extended technology acceptance model," The Annals of Regional Science, Springer;Western Regional Science Association, vol. 68(2), pages 307-330, April.
    15. 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.
    16. 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.
    17. Vibhava Srivastava & Amit Kumar Gupta, 2023. "Price sensitivity, government green interventions, and green product availability triggers intention toward buying green products," Business Strategy and the Environment, Wiley Blackwell, vol. 32(1), pages 802-819, January.
    18. James Agyei & Shaorong Sun & Eugene Abrokwah & Emmanuel Kofi Penney & Richmond Ofori-Boafo, 2020. "Mobile Banking Adoption: Examining the Role of Personality Traits," SAGE Open, , vol. 10(2), pages 21582440209, June.
    19. Twinkle Verma & Baldeep Singh, 2026. "Effect of Incentives on Green Car Adoption: A Three-tier Approach of Review," Metamorphosis: A Journal of Management Research, , vol. 25(1), pages 33-51, April.
    20. repec:dau:papers:123456789/8266 is not listed on IDEAS
    21. Liu, Xiaohui & He, Xiaoyu & Wang, Mengmeng & Shen, Huizhang, 2022. "What influences patients' continuance intention to use AI-powered service robots at hospitals? The role of individual characteristics," Technology in Society, Elsevier, vol. 70(C).

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    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:sae:metjou:v:23:y:2024:i:2:p:142-157. 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: SAGE Publications (email available below). General contact details of provider: .

    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.