Criteria for Measuring Perceived Usefulness of Mobile Commerce Services
The objective of this study is to identify the important criteria for measuring perceived usefulness of m-commerce services. This study was conducted in UUM as a case study. Descriptive analysis, crobanch’s alpha, pearson correlation and linear regression were used for data analysis. The results sh...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | eng eng |
Published: |
2009
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/1657/1/Wong_Ha_Ding.pdf https://etd.uum.edu.my/1657/2/1.Wong_Ha_Ding.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uum-etd.1657 |
---|---|
record_format |
uketd_dc |
institution |
Universiti Utara Malaysia |
collection |
UUM ETD |
language |
eng eng |
topic |
HF5548.34 Mobile Commerce |
spellingShingle |
HF5548.34 Mobile Commerce Wong, Ha Ding Criteria for Measuring Perceived Usefulness of Mobile Commerce Services |
description |
The objective of this study is to identify the important criteria for measuring perceived usefulness of m-commerce services. This study was conducted in UUM as a case study.
Descriptive analysis, crobanch’s alpha, pearson correlation and linear regression were used for data analysis. The results showed that privacy, efficiency, cost, convenience and trust are significantly correlated to the perceived usefulness of m-commerce services. However, security did not show significant correlation to perceived usefulness. |
format |
Thesis |
qualification_name |
masters |
qualification_level |
Master's degree |
author |
Wong, Ha Ding |
author_facet |
Wong, Ha Ding |
author_sort |
Wong, Ha Ding |
title |
Criteria for Measuring Perceived Usefulness of Mobile Commerce Services |
title_short |
Criteria for Measuring Perceived Usefulness of Mobile Commerce Services |
title_full |
Criteria for Measuring Perceived Usefulness of Mobile Commerce Services |
title_fullStr |
Criteria for Measuring Perceived Usefulness of Mobile Commerce Services |
title_full_unstemmed |
Criteria for Measuring Perceived Usefulness of Mobile Commerce Services |
title_sort |
criteria for measuring perceived usefulness of mobile commerce services |
granting_institution |
Universiti Utara Malaysia |
granting_department |
College of Business (COB) |
publishDate |
2009 |
url |
https://etd.uum.edu.my/1657/1/Wong_Ha_Ding.pdf https://etd.uum.edu.my/1657/2/1.Wong_Ha_Ding.pdf |
_version_ |
1747827184414752768 |
spelling |
my-uum-etd.16572013-07-24T12:12:41Z Criteria for Measuring Perceived Usefulness of Mobile Commerce Services 2009 Wong, Ha Ding College of Business (COB) College of Business HF5548.34 Mobile Commerce The objective of this study is to identify the important criteria for measuring perceived usefulness of m-commerce services. This study was conducted in UUM as a case study. Descriptive analysis, crobanch’s alpha, pearson correlation and linear regression were used for data analysis. The results showed that privacy, efficiency, cost, convenience and trust are significantly correlated to the perceived usefulness of m-commerce services. However, security did not show significant correlation to perceived usefulness. 2009 Thesis https://etd.uum.edu.my/1657/ https://etd.uum.edu.my/1657/1/Wong_Ha_Ding.pdf application/pdf eng validuser https://etd.uum.edu.my/1657/2/1.Wong_Ha_Ding.pdf application/pdf eng public masters masters Universiti Utara Malaysia Amin, H. (2007). An analysis of mobile credit card usage intentions. Information management & computer security, 15(4), 260-260.Cavana, R. Y., Delahaye, B. L., & Sekaran, U. (2001). Applied Business Research:Qualitative and Quantitative Methods. Singapore: John Wiley & Sons.Cooper, D. R., & Schindler, P. S. (2003). Business Researh Method. Singapore:McGraw-Hill.Davis, F. D., Bagozz, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoritical models. Management science, 35(8),982-1003.Goi, C. L. (2008). Review on the implementation of mobile commerce in Malaysia. Journal of Internet Banking and Commerce, 13(12).Hair, J. F., Money, A. H., Samouel, P., & Page, M. (2007). Research methods for business. Great Britain: John Wiley & Sons. Han, S., Harkke, V., Landor, P., & Mio, R. R. d. (2002). A foresight framework for understanding the future of mobile commerce. Journal of System & Information Technology, 6(2). Haque, A., & Raihan, N. (2004). Mobile Commerce: an evaluate customer perception for marketing strategy in Malaysia.Ho, S. Y., & Kwok, S. H. (2003). The attraction of personalized service for users in mobile commerce: an empirical study. ACM SIGecom Exchanges 3(4), 10-18. Khalifa, M., & Shen, K. N. (2008). Explaining the adoption of transactional B2C mobile commerce. Journal of Enterprise Information Management, 21(2), 110-124.Lee, T. M., & Jun, J. K. (2007). Contextual perceived value? Investigating the role of contextual marketing for customer relationship management in a mobile commerce context. Business process management journal, 13(6), 798-814.Liang, T.-P., Huang, C.-W., Yeh, Y.-H., & Lin, B. (2007). Adoption of mobile technology in business: a fit-viability model. Industrial management & data systems, 107(8), 154-169.58 Markova, M., Aula, A., Vainio, T., Wigelius, H., & Kulju, M. (2007). MoBiS-Q- A tool for evaluating the success of mobile business services. Mobile ICT07 Singapore.May, P. (2001). Mobile Commerce: opportunities, applications and technologies of wireless business. USA: Cambridge University Press.McCloskey, D. W. (2006). The importance of ease of use, usefulness and trust to online consumers: an examination of the technology acceptance model with older consumers. Journal of Organizational and End User Computing, 18(3), 47-65.Misra, S., & Kilic, H. (2007). Measurement theory and validation criteria for software complexity measures. ACM SIGSOFT Engineering Notes, 32(2), 1-3.Panayiotou, C., & Samaras, G. (2004). mPERSONA: Personalized portals for the wireless user: an agent approach. Mobile networks and applications, 9, 663-677. Ryan, C., & Gonsalves, A. (2005). The effect of context and application type on mobile usability: an empirical study. the 28th Australasian Computer Science Conference, The University of Newcastle, Australia.Snowden, S., Spafford, J., Michaelides, R., & Hopkins, J. (2006). Technology acceptance and m-commerce in an operational environment. Journal of Enterprise Information Management, 19(5), 525-539.Stafford, T. F., & Gillenson, M. L. (2003). Mobile Commerce: what it is and what it could be. Tibenderana, P. K. G., & Ogao, P. J. (2008). Acceptance and use of electronic library services in Ugandan Universities. JCDL, 323-332.Turban, E., King, D., Lee, J., Warkentin, M., & Chung, H. M. (2002). Electronic commerce 2002: A managerial perspective. New Jersey, USA: Pearson Education. Wei, T. T., Marthandan, G., Chong, A. Y.-L., Ooi, K.-B., & Arumugam, S. (2009). What drives Malaysian m-commerce adoption? an empirical analysis. Industrial management & data systems, 109(3), 370-388.Wong, Y. K., & Hsu, C. J. (2006). A confidence-based framework for business-toconsumer(B2C) mobile commerce adoption. |