Adoption of Short Messaging Service (SMS) in Malaysia

Short Messaging Service SMS being an almost instantaneous communication medium that connects people is now a phenomenon that has grown and spread around the globe at an amazing speed. Given the current trend of SMS usage and its potential growth, this paper provides an insight into SMS adoption. The study attempts to delineate the demographics and usage profile of SMS users in Malaysia, as well as explaining the factors influencing SMS adoption in Malaysia by using a modified version of the Technology Acceptance Model TAM, which was originally introduced by Davis 1989. The study presents the demographic and usage profile in terms of gender, age, occupation, monthly personal income, extent of SMS usage and so forth of 489 SMS users from four institutions of education in the Klang Valley and Selangor. The present research uses and validates the scales for variables developed by earlier studies, namely perceived usefulness, perceived ease of use, perceived enjoyment, and perceived fees, which are hypothesized to be fundamental determinants of behavioural intention. The scale items for the said variables were tested for reliability, correlation and regression. The application of correlation analysis reveals a significant relationship among the independent variables, namely, perceived usefulness, perceived enjoyment, and perceived ease of use with the dependent variable that is behavioural intention. With regards to the level of importance derived from regression analysis, usefulness ranks the highest, followed by ease of use and enjoyment in explaining SMS adoption in Malaysia. Perceived fees do not seem to have a significant relationship with behavioural intention. Some implications, limitations and recommendations for future research are also discussed.

[1]  Sushil K. Sharma.  E-Adoption and Socio-Economic Impacts: Emerging Infrastructural Effects , 2011 .

[2]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[3]  Bente Evjemo,et al.  Use of SMS in Office Environments , 2006, Proceedings of the 39th Annual Hawaii International Conference on System Sciences (HICSS'06).

[4]  J. J. Cronin,et al.  Performance-only measurement of service quality: a replication and extension , 2002 .

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

[6]  Per E. Pedersen,et al.  Mobilizing the Brand , 2005 .

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

[8]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

[9]  Sushil K. Sharma.  Adoption of Virtual Technologies for Business, Educational, and Governmental Advancements , 2012 .

[10]  David F Forte.  A sure thing. , 2021, British dental journal.

[11]  Chih-Chien Wang,et al.  Acceptance of Technology with Network Externalities: An Empirical Study of Internet Instant Messaging Services , 2005 .

[12]  Chang Liu,et al.  Technology acceptance model for wireless Internet , 2003, Internet Res..

[13]  Sushil K. Sharma,et al.  An Improved Dynavote E-Voting Protocol Implementation , 2011, Int. J. E Adopt..

[14]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[15]  Tung Lai Lai,et al.  Service Quality and Perceived Value's Impact on Satisfaction, Intention and Usage of Short Message Service (SMS) , 2004 .

[16]  Catherine Chen,et al.  The Validity and Reliability Study of a Revised Motivated Strategy for Learning Questionnaire (MSLQ) for Assessing Computer Software Learning Strategies , 2012, Int. J. E Adopt..

[17]  Jinwoo Kim,et al.  A Cross-Cultural Study on the Value Structure of Mobile Internet Usage: Comparison Between Korea and Japan , 2002, J. Electron. Commer. Res..

[18]  S. Doyle.  Software review: Using short message services as a marketing tool , 2001 .

[19]  Nicholas C. Maynard,et al.  The Challenges of the National ICT Policy Implementation Process: A Comparative Study of Malaysia and Thailand , 2010 .

[20]  Said S. Al-Gahtani,et al.  The Applicability of TAM Outside North America: An Empirical Test in the United Kingdom , 2001, Inf. Resour. Manag. J..

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

[22]  David Gefen,et al.  TAM or Just Plain Habit: A Look at Experienced Online Shoppers , 2003, J. Organ. End User Comput..

[23]  S. Kamel.  E-Strategies for Technological Diffusion and Adoption: National ICT Approaches for Socioeconomic Development , 2010 .

[24]  K. B. Monroe,et al.  The Effects of Price - Comparison Advertising on Buyers'''' Perceptions of Acquisition Value, Transa , 1998 .

[25]  Siu-cheung Chan,et al.  Understanding Internet Banking Adoption and Use Behavior: A Hong Kong Perspective , 2004, J. Glob. Inf. Manag..

[26]  Yi-Shun Wang,et al.  DETERMINANTS OF USER ACCEPTANCE OF INTERNET BANKING: AN EMPIRICAL STUDY , 2003 .

[27]  Hanudin Amin,et al.  An analysis of mobile credit card usage intentions , 2007, Inf. Manag. Comput. Secur..

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

[29]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[30]  S. Barnes,et al.  Driving consumer acceptance of mobile marketing: a theoretical framework and empirical study , 2005 .

[31]  R. Rettie,et al.  Adoption and usage of M-commerce: a cross-cultural comparison of Hong Kong and the United Kingdom , 2005 .

[32]  Nathalie Iseli-Chan,et al.  Impact of E-Adoption on Teaching and Learning in the Context of Teaching French , 2010, Int. J. E Adopt..

[33]  Efraim Turban,et al.  Electronic commerce 2006: a managerial perspective , 2006 .

[34]  Aodheen O'Donnell,et al.  Exploring the Potential of e-CRM in SME Marketing Practice , 2011 .

[35]  Burcu Adigüzel Mercangöz,et al.  Measuring Lecturers' Perception of Transition to E-Learning Systems and Digital Divide: A Case Study in School of Business Administration of Istanbul University , 2011, Int. J. E Adopt..

[36]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .