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...

Full description

Saved in:
Bibliographic Details
Main Author: Wong, Ha Ding
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.