Sri Lankan Consumers’ Acceptance of M- Internet Services
DOI:
https://doi.org/10.61841/zn6ycz42Keywords:
Consumers’ Acceptance, M-Internet, UTAUT, Awareness, Sri LankaAbstract
This study mainly aims to determine the factors that drive the intention of consumers in Sri Lanka to use mobile Internet services. A through literature review was performed on the possible factors that may influence the behavioural intention of consumers including performance expectancy, effort expectancy, awareness, hedonic motivation, and social influence, all of which are presented as the study variables in the proposed conceptual framework. Data collection was carried out by posting the online survey questionnaire on Facebook and WhatsApp groups of numerous Internet users in the country. The proposed model and the developed hypotheses were tested by employing the Structural Equation Modelling using the AMOS software by IBM. The findings indicate that all the theorized factors have a significant effect on the behavioural intention of the consumers in using mobile Internet services. The findings provide valuable practical implications in driving the Sri Lankan consumers to adopt and use mobile Internet services.
Downloads
References
[1] Samsudeen SN, Selvaratnam G. Consumers’ Intention to Use Mobile Internet Services: A Sri Lankan Study. In2019 3rd International Conference on Computing and Communications Technologies (ICCCT) 2019 Feb 21 (pp. 126-132). IEEE.
[2] Shareef MA, Dwivedi YK, Laumer S, Archer N. Citizens’ adoption behavior of mobile government (mGov): a cross-cultural study. Information Systems Management. 2016 Jul 2;33(3):268-83.
[3] Sharma SK, Govindaluri SM, Al-Muharrami S, Tarhini A. A multi-analytical model for mobile banking adoption: A developing country perspective. Review of International Business and Strategy. 2017 Mar 6;27(1):133-48.
[4] Yadav R, Sharma SK, Tarhini A. A multi-analytical approach to understand and predict the mobile commerce adoption. Journal of enterprise information management. 2016 Mar 7;29(2):222-37.
[5] Boateng R, Hinson R, Galadima R, Olumide L. Preliminary insights into the influence of mobile phones in micro-trading activities of market women in Nigeria. Information Development. 2014 Feb;30(1):32-50.
[6] Su H. Mobile internet experience research based on TAM. In E-Product E-Service and E-Entertainment (ICEEE), 2010 international conference on 2010 Nov 7 (pp. 1-4). IEEE.
[7] Ling R, Donner J. Mobile communication. John Wiley & Sons; 2013 May 3.
[8] Internet Usage Statistics in Sri Lanka. Colombo Digital Marketers; 2018. Available from: http://www.digitalmarketer.lk/internet-usage-statistics-in-sri-lanka-2016-updated.html.
[9] Statistics, Telecommunication Regulatory Commission of Sri Lanka; 2018. Available from: http://www.trc.gov.lk/2014-05-13-03-56-46/statistics.html.
[10] Samsudeen SN, Yamin FM. Sri Lankan Consumers’ Behavioural Intention to Use Mobile Banking: A Structural Equation Modelling Approach, Journal of Information Systems and Information Technology. 2018; 2(2), 1-14.
[11] Lu M, Zhu M. Customers’ acceptance behavior on mobile internet services.
[12] Baabdullah AM, Alalwan AA, Rana NP, Dwivedi Y, Weerakkody V. Assessing consumers’ intention to adopt mobile internet services in the Kingdom of Saudi Arabia. 2017. Twenty-third Americas Conference on Information Systems, Boston, 1-10.
[13] Zhou T. Understanding mobile Internet continuance usage from the perspectives of UTAUT and flow. Information Development. 2011 Aug; 27(3):207-18.
[14] Parveen F, Sulaiman A. Technology complexity, personal innovativeness and intention to use wireless internet using mobile devices in Malaysia. International Review of Business Research Papers. 2008 Oct; 4(5):1-0.
[15] Roostika R. Mobile internet acceptance among university students: A value-based adoption model. International Journal of Research in Management & Technology (IJRMT). 2012 Feb 1; 2(1):21-8.
[16] Alwahaishi S, Snášel V. FACTORS INFLUENCING THE CONSUMERS’ADOPTION OF MOBILE
INTERNET. In the third international conference on digital information and communication technology and its applications (DICTAP2013) 2013 (pp. 31-39). The Society of Digital Information and Wireless Communication.
[17] Venkatesh V, Morris MG, Davis GB, Davis FD. User acceptance of information technology: Toward a unified view. MIS quarterly. 2003 Sep 1:425-78.
[18] Davis FD. Perceived usefulness, perceived ease of use, and user acceptance of information technology. MIS quarterly. 1989 Sep 1:319-40.
[19] Ajzen I. From intentions to actions: A theory of planned behavior. In Action control 1985 (pp. 11-39). Springer, Berlin, Heidelberg.
[20] Venkatesh V, Thong JY, Xu X. Consumer acceptance and use of information technology: extending the unified theory of acceptance and use of technology. MIS quarterly. 2012 Mar 1:157-78.
[21] Dwivedi YK, Rana NP, Janssen M, Lal B, Williams MD, Clement M. An empirical validation of a unified model of electronic government adoption (UMEGA). Government Information Quarterly. 2017 Apr 1;34(2):211-30.
[22] Rana NP, Dwivedi YK, Williams MD, Weerakkody V. Adoption of online public grievance redressal system in India: Toward developing a unified view. Computers in Human Behavior. 2016 Jun 1;59:265- 82.
[23] Alalwan AA, Dwivedi YK, Rana NP. Factors influencing adoption of mobile banking by Jordanian bank customers: Extending UTAUT2 with trust. International Journal of Information Management. 2017 Jun 1;37(3):99-110.
[24] Lee YE, Benbasat I. A framework for the study of customer interface design for mobile commerce. International Journal of Electronic Commerce. 2004 Apr 1;8(3):79-102.
[25] Alsheikh L, Bojei J. Determinants affecting customer’s intention to adopt mobile banking in Saudi Arabia. International Arab Journal of e-Technology. 2014;3(4):210-9.
[26] Tai YM, Ku YC. Will stock investors use mobile stock trading? A benefit-risk assessment based on a modified UTAUT model. Journal of Electronic Commerce Research. 2013 Feb 1;14(1):67.
[27] Wang C, Wang Q, Ren K, Lou W. Privacy-preserving public auditing for data storage security in cloud computing. InInfocom, 2010 proceedings IEEE 2010 Mar 14 (pp. 1-9). IEEE.
[28] Rogers EM. Diffusion of Innovations 5th ed. A Division of Macmillan Publishing Co Inc.
[29] Shareef MA, Kumar V, Kumar U, Dwivedi YK. e-Government Adoption Model (GAM): Differing service maturity levels. Government information quarterly. 2011 Jan 1;28(1):17-35.
[30] Kim C, Mirusmonov M, Lee I. An empirical examination of factors influencing the intention to use mobile payment. Computers in Human Behavior. 2010 May 1;26(3):310-22.
[31] Luarn P, Lin HH. Toward an understanding of the behavioral intention to use mobile banking. Computers in human behavior. 2005 Nov 1;21(6):873-91.
[32] Bagozzi RP, Lee KH. Multiple routes for social influence: The role of compliance, internalization, and social identity. Social Psychology Quarterly. 2002 Sep 1:226-47.
[33] Riquelme HE, Rios RE. The moderating effect of gender in the adoption of mobile banking. International Journal of bank marketing. 2010 Jul 27;28(5):328-41.
[34] Yang K. Determinants of US consumer mobile shopping services adoption: implications for designing mobile shopping services. Journal of Consumer Marketing. 2010 May 4;27(3):262-70.
[35] Brown SA, Venkatesh V. Model of adoption of technology in households: A baseline model test and extension incorporating household life cycle. MIS quarterly. 2005 Sep 1:399-426.
[36] Chang HC, Analytics C, Seng-cho TC, Chen FF. Acceptance and Willingness to Pay for Mobile TV apps. 2013.
[37] Fishbein M, Ajzen I. Belief, attitude, intention and behavior: An introduction to theory and research. 1975.
[38] Madan K, Yadav R. Understanding and predicting antecedents of mobile shopping adoption: A developing country perspective. Asia Pacific Journal of Marketing and Logistics. 2018 Jan 8; 30(1):139-62.
[39] Pham TT, Ho JC. What are the core drivers in consumer adoption of NFC-based mobile payments?: A proposed research framework. In Management of engineering & technology (PICMET), 2014 Portland International Conference on 2014 Jul 27 (pp. 3041-3049). IEEE.
[40] Sekaran U, Bougie R. Research methods for business: A skill building approach. John Wiley & Sons; 2016 Jun 27.
[41] Byrne BM. Structural equation modeling with AMOS: Basic concepts, applications, and programming. Routledge; 2016 Jun 10.
[42] Hair JF, Black WC, Babin BJ, Anderson RE. Advanced diagnostics for multiple regression: A supplement to multivariate data analysis. 2010.
[43] Hu LT, Bentler PM. Cutoff criteria for fit indexes in covariance structure analysis: Conventional criteria versus new alternatives. Structural equation modeling: a multidisciplinary journal. 1999 Jan 1;6(1):1-55.
[44] Bryman A, Bell E. Ethics in business research. Business Research Methods. 2011.
[45] Alalwan AA, Dwivedi YK, Rana NP, Lal B, Williams MD. Consumer adoption of Internet banking in Jordan: Examining the role of hedonic motivation, habit, self-efficacy and trust. Journal of Financial Services Marketing. 2015 Jun 1;20(2):145-57.
Downloads
Published
Issue
Section
License
This work is licensed under a Creative Commons Attribution 4.0 International License.
You are free to:
- Share — copy and redistribute the material in any medium or format for any purpose, even commercially.
- Adapt — remix, transform, and build upon the material for any purpose, even commercially.
- The licensor cannot revoke these freedoms as long as you follow the license terms.
Under the following terms:
- Attribution — You must give appropriate credit , provide a link to the license, and indicate if changes were made . You may do so in any reasonable manner, but not in any way that suggests the licensor endorses you or your use.
- No additional restrictions — You may not apply legal terms or technological measures that legally restrict others from doing anything the license permits.
Notices:
You do not have to comply with the license for elements of the material in the public domain or where your use is permitted by an applicable exception or limitation .
No warranties are given. The license may not give you all of the permissions necessary for your intended use. For example, other rights such as publicity, privacy, or moral rights may limit how you use the material.
