Author

  • Dileep Kumar M.

    • Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia
    • Malaysia
  • Harvi S.

    • Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia
    • Malaysia
  • Normala S. Govindarajo

    • Othman Yeop Abdullah Graduate School of Business, Universiti Utara Malaysia
    • Malaysia

Abstract

Rapid expansion of technology application, especially in the field of information technology, with the support of fine tune infrastructure, further correlated with severely with the ecommerce activities. This scenario is not much different in developed as well as developing countries. It is a placid trend nowadays that the customers are moving from traditional direct shopping practices to online shopping. In this scenario it is observed that the generations Y is more contented with online purchasing and adoption of e-commerce practices compare to generation X. It is hypothesized in this research that higher the computer literacy people have with higher the attitude in favor for technology adoption and ecommerce activities. Contextualizing this assumption to Malaysian scenario, fewer studies have been conducted so far and seldom any information that has shared across to the research world. Hence, a study was conducted to analyze the effect of computer literacy on internet usages and ecommerce activities among generation Y in the Malaysian context. This study provides interesting insights into the technology adoption aptitude of generation Y.

Keywords

References

  • American Express. (2012). American Express Business Insight. New York: American Express.
  • Ayupp, K., Ling, L. N. & Tudin, A. (2013). An Analysis of Luxury Products Purchasing Behavior of Malaysian University Students. Asian Journal of Social Sciences and Humanities, 2(4), 219-227.
  • Bartlett, J. E., Kotrlik, J. W. & Higgins, C. C. (2001). Organizational Research: Determining Appropriate sample Size in Survey Research. Information Technology, Learning, and Performance Journal , 19(1), 43-50 (Spring).
  • Chiu, Y. B. (2005). Gender differs: assessing a model of online purchase intentions in e-tail service. International Journal of Service Industry Management, 16(5), 416-435.
  • Crisp, C. B., Jarvenpaa, S. L. & Todd, P. A. (2007). Individual Differences and Internet Shopping Attitude and Intentions. http://www.informationr.net/ir/12-2/Crisp.html.(Retrieved on 21st January 2014)
  • Delcour, M. A. & Kinzie, M. B. (1993). Computer technologies in teacher education: The measurement of attitudes and self-efficacy. Journal Research and Development in Education, 27, 35-41.
  • Diillllon, T. W. & Reif, H. L. (2004). Factors Influencing Consumers’ E-Commerce Commodity Purchases. Information Technology, Learning, and Performance Journal, 22(2).
  • Gibbs, S. (2008). Internet use equals computer literacy? Proceedings ascilite. Melbourne.
  • Hair, J., Money, A., Samouel, P. & Page, M. (2007). Research Method for Business. John Willey & Sons, Ltd.
  • Hoffman, M. & Blake, J. (2003). Computer Literacy Today and Tomorrow. Journal of Computing Sciences in Colleges, 18(5), 221-233.
  • Johnshon, D. C., Anderson, R. E. & Hansen, T. P. (1980). Computer Literacy - What is it? The Mathematics Teacher.
  • Jusoh, Z. M. & Ling, G. H. (2012). Factor Influencing Consumers' Attitude Towards E-commerce. International Journal of Humanities and Social, 2(4), 223-230.
  • Karsten, R. & Roch. (1998). The relationship of computer experience and computer self-efficacy to performance in introductory computer literacy courses. Journal of Research on Technology Education, 31(1) 14-24
  • Keating, L. (2000). The in crowd: retail rushes to keep pace with generation y. Shopping Center World .
  • Kottler, A. (2004). Principles of Marketing. New Jersey: Prentice Hall.
  • Kubiatko, M. (2013). The Comparison of Different Age Groups on the Attitudes. Educational Sciences: Theory & Practice, 13(2), 1623.
  • Liao, Z. & Cheung, M. T. (2000). Internet-based e-shopping and consumer attitudes: an empirical study. Information & Management, 38(5), 299-306.
  • Lohse, G., Bellman, S. & Johnson, E. (2000). Consumer Buying Behavior on the Internet. Journal of Interactive Marketing, 14(1), 15-29.
  • Malaysia Crunch. (2010). Malaysia's E-Commerce Statistics. URL: http://www.malaysiacrunch. com/2012/03/malaysias-e-commer ce-statistics-updated.html. (Retrieved on 24th February 2014)
  • Mansoori, S., Liat, C. B. & Shan, L. H. (2012). A Study Of E-Shopping Intention In Malaysia: The Influence Of Generation X & Y. Australian Journal of Basic and Applied Sciences, 6(8), 28.
  • Monsuwe, T. P., Dellaert, B. G. & Ruyter, K. D. (2004). What drives consumers to shop online? A literature review. International Journal of Service Industry Management, 15(1), 102-121.
  • Morris, M. & Venkatesh, V. (2005). Gender and age differences in employee decisions about new technology: an extension to the theory of planned behavior. Engineering Management, 52(1), 69-84.
  • National Research Council. (1990). Being Fluent with Information Technology. Washington, D.C.: National Academy Press.
  • Nielsen Global. (2010). Trends in online shopping. New York.
  • Oreku, G. S. & Mtenzi, F. J. (2013). A Viewpoint of Tanzania E-Commerce and Implementation Barriers. ComSIS .
  • Pew Research Center. (2012). Internet & American Life Project. Washington, DC.
  • Ratchford, B., Talukdar, D. & Lee, M. S. (2001). A model of consumer choice of the internet as information source. International Journal of Electronic Commerce, 5(3), 7-21.
  • Roscoe, J. (1975). F undamaental Research Statistics for The Behavioral Science. New York: Rinehart and Winston.
  • Sekaran, U. (2003). Research Methods for Business: A Skill Building Approach. John Wiley & Sons, Incorporated.
  • Smith, B., Caputi, P., Crittenden, N., Jayasuriya, R. & Rawstorne, P. (1999). A Review of The Construct of Computer Experience. Computers in Human Behaviour, 15(2), 227-242.
  • US Congress of Technology Assessment. (1984). Computerized Manufacturing Automation: Employment, Education and the Workplace. Washington.
  • Yalcinalp, S. (2005). A Study of Students' Self-Efficacy, Performance and Attitudes Towards Computers and Internet in a Computer Literacy Course at Freshman. European Conference on Educational Research.
  • Yanik, C. (2010). The Relationship Between Prospective Teacher's Computer Literacy And Their Attitude Toward Internet. Journal of Education, 39(1), 371-382.
  • Yvonne R., Hazlewood, W. R., Paul, M. P., Nick, D. & Susanna, H. (2010). Ambient influence: can twinkly lights lure and abstract representations trigger behavioral change? In: Proceedings of the 12th ACM international conference on Ubiquitous computing, (UbiComp’10) 26-29 Sep 2010, New York, NY, USA, 261-270.
  • Zubrow, D. (1987). How Computing Attitudes Change During The Freshman Year. Computing and Change on Campus , 3, 195-211.
  • Dillon, T. W. & Reif, H. L. (2004). Factors Influencing Consumers' E-Commerce Commodity Purchases Information Technology. Learning and Performance Journal, 22(2), 1-12.
  • Bartlett, J. E., Kotrlik, J. W. & Higgins, C. C. (2001). Organizational Research: Determining Appropriate sample Size in Survey Research. Information Technology, Learning, and Performance Journal , 19(1), 43-50 (Spring).
  • Schiffman, L. G. & Kanuk, L. L. (2007). Consumer Behavior (9th ed.). Upper Saddle River, N.J.: Pearson Prentice Hall.
  • R ogers, M. (2009). Boomers and technology: An extended conversation. Retrieved from http://assets.aarp.org/www. aarp.org_/articles/computers/2009_boomers_and_technology_final_report.pdf
  • Paynter, J. & Lim, J. (2001, December). Drivers and impediments to e-commerce in Malaysia. Malaysian Journal of Library & Information Science, 6(1), pp. 1-19.
  • Armour, S. (2005). Generation Y. They arrive in the workplace with a new attitude. Retrieved March 2014, 25, from USA Today: http://usatoday30.usatoday.com/educate/college /careers/Hot/11-7-05b.htm
  • Musings, M. (2007). Digital natives, digital imrnigrants...what about digital Pilgrims? URL: http://blogs.computerworld.com/digital_natives_digital_immigrants_what_about_digital_pilgrims. (Retrieved on 20th January 2014) from Computerworld Blogs.
  • eMarketer. (2013). How Digital Behavior Differs Among Millennials, Gen Xers and Boomers. URL: http://www.emarketer.com/Article/How-Digital-Behavior-Differs-Among-Millennials-GenXers-Boomers/1009748. (Retrieved on 1st March 2014)
  • eMarketer. (2013). For Digital Shopping, Baby Boomers Favor Desktop Over Mobile. Retrieved March 25, 2014, from eMarketer: www.emarketer.com/Article/Digital-Shopping-Baby-Boomers-FavorDesktop-Over-Mobile/1010130.Retrieved on 1st February 2014)
  • Kane, S. (2014). Generation X. URL: http://legalcareers.about.com/od/practicetips/a /GenerationX.htm.(Retrieved on 21st January 2014), from Legal Careers The Star (Sept 28th 2014). Malaysias Consumer Statistics (Updated). News paper report.

Downloads

No downloads have been recorded for this article yet. Figures appear here once readers begin downloading the full text.

How to Cite

M., D. K., S., H., & Govindarajo, N. S. (2015). Malaysian Consumer Research: Does Computer Literacy Affirmative towards E-commerce Activities? Journal of Economics and Behavioral Studies, 7(1(J), 50-63. https://doi.org/10.22610/jebs.v7i1(J).562

Share this article

Section

Research Paper

Published

2015-02-28

Submissions

Have research to publish? Journal of Economics and Behavioral Studies welcomes submissions.

Make a Submission