Hedonic and Utilitarian Propositions of Mobile Data Services in Sri Lanka: Development of a Consumer Technology Adoption Model

This research article investigates the adoption of mobile data services with utilitarian and hedonic value propositions in Sri Lanka. This study attempts to develop a conceptually model and related hypotheses and its behavior within the Sri Lankan user context. The findings related to the perceived usefulness has reported that a strong relationship between the attitudes and adoption intension even in the context of products with predominantly hedonic values propositions. Further, it was noted that the utilitarian motives of usefulness, ease of use, and comparative advantage were more strongly present than hedonic motives even in mobile ringtone users. The utilitarian motives had strong correlations with the attitude towards attitudes and adoption intension.

[1]  Songpol Kulviwat,et al.  The role of social influence on adoption of high tech innovations: The moderating effect of public/private consumption , 2009 .

[2]  Junic Kim Platform Adoption Factors in the Internet Industry , 2018, Sustainability.

[3]  Chandra Sekhar Patro,et al.  Influence of Web Attributes on Consumer Purchase Intentions , 2017, Int. J. Sociotechnology Knowl. Dev..

[4]  C. E. Guirado,et al.  Beyond Signed T-Shirts: A Socio-Technological Model of Equity Crowdfunding Adoption , 2018 .

[5]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[6]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[7]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[8]  Terry L. Childers,et al.  HEDONIC AND UTILITARIAN MOTIVATIONS FOR ONLINE RETAIL SHOPPING BEHAVIOR , 2001 .

[9]  Paul Jen-Hwa Hu,et al.  Information Technology Acceptance by Individual Professionals: A Model Comparison Approach , 2001, Decis. Sci..

[10]  Ge Zhu,et al.  An empirical study of consumer adoption on 3G value‐added services in China , 2012 .

[11]  Ibrahim E. Sancak Applicability and Readiness of Crowdfunding in Turkey , 2016 .

[12]  William R. Darden,et al.  Work and/or Fun: Measuring Hedonic and Utilitarian Shopping Value , 1994 .

[13]  Raquel Sánchez-Fernández,et al.  The concept of perceived value: a systematic review of the research , 2007 .

[14]  Christer Carlsson,et al.  Nice Mobile Services do not Fly. Observations of Mobile Services and the Finnish Consumers , 2006, Bled eConference.

[15]  Viswanath Venkatesh,et al.  Unified Theory of Acceptance and Use of Technology: A Synthesis and the Road Ahead , 2016, J. Assoc. Inf. Syst..

[16]  Wisdom C. Soreh Awareness and Attitude Towards Crowdfunding in Nigeria , 2017 .

[17]  Armin Schwienbacher,et al.  Crowdfunding of Small Entrepreneurial Ventures , 2010 .

[18]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[19]  Deborah V. Brazeal,et al.  Entrepreneurial Potential and Potential Entrepreneurs , 1994 .

[20]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[21]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[22]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[23]  Irvine Clarke,et al.  Mobile portals: the development of M-commerce gateways , 2003 .

[24]  Gordon C. Bruner,et al.  Toward a unified theory of consumer acceptance technology , 2007 .

[25]  David C. Yen,et al.  The atmospheric factors of online storefront environment design: An empirical experiment in Taiwan , 2008, Inf. Manag..

[26]  HanIngoo,et al.  User behaviors toward mobile data services , 2009 .

[27]  A. Bandura Social Cognitive Theory of Mass Communication , 2001 .

[28]  Tjan Ak,et al.  Finally, a way to put your Internet portfolio in order. , 2001 .

[29]  Ziaul Haque Munim,et al.  Reward crowdfunding contribution as planned behaviour: An extended framework , 2019, Journal of Business Research.

[30]  Ingoo Han,et al.  Behavioral Intention Perceived Usefulness Perceived Ease of Use Behavioral Intention Perceived Enjoyment Perceived Usefulness Perceived Ease of Use Perceived Fee Behavioral Intention Perceived Enjoyment Perceived Usefulness Perceived Ease of Use Prior Experience , 2009 .

[31]  Steve Muylle,et al.  The role of pleasure in web site success , 2006, Inf. Manag..

[32]  Chandra Sekhar Patro,et al.  Influence of Perceived Risks on Consumers' Online Purchase Behaviour: A Study , 2017, Int. J. Sociotechnology Knowl. Dev..

[33]  Yogesh Kumar Dwivedi,et al.  The unified theory of acceptance and use of technology (UTAUT): a literature review , 2015, J. Enterp. Inf. Manag..

[34]  Gordon C. Bruner,et al.  Explaining consumer acceptance of handheld Internet devices , 2005 .

[35]  Kelvin Joseph Bwalya,et al.  Towards a Knowledge-Based Economy - the Case of Botswana A Discussion Article , 2010, Int. J. Sociotechnology Knowl. Dev..

[36]  Chandra Sekhar Patro,et al.  Influence of Perceived Benefits on Consumers' Online Purchase Behaviour: An Empirical Study , 2017, Int. J. Sociotechnology Knowl. Dev..

[37]  Christer Carlsson,et al.  Asynchronous Adoption Patterns of Mobile Services , 2005, Proceedings of the 38th Annual Hawaii International Conference on System Sciences.

[38]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[39]  George M. Giaglis,et al.  Motives and Barriers Affecting the Use of Mobile Data Services , 2007, International Conference on the Management of Mobile Business (ICMB 2007).

[40]  June Lu,et al.  Personal innovativeness, social influences and adoption of wireless Internet services via mobile technology , 2005, J. Strateg. Inf. Syst..

[41]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[42]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[43]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[44]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..

[45]  Cemal Zehir,et al.  A Theoretical Model Proposal: Personal Innovativeness and User Involvement as Antecedents of Unified Theory of Acceptance and Use of Technology☆ , 2015 .