Factors Affecting The Behavioral Intention To Use AssetDiplomat Software

The swift advent of technology has affected our lives and the way we are doing things, and education system is not excluded. Previous method of teaching and learning using boards and chalks is now being replaced by various technology-based teaching aids as a medium which can make the process more ef...

Full description

Saved in:
Bibliographic Details
Main Author: Hafizah, Abd. Mutalib
Format: Thesis
Language:eng
eng
Published: 2008
Subjects:
Online Access:https://etd.uum.edu.my/290/1/Hafizah_Abd_Mutalib.pdf
https://etd.uum.edu.my/290/2/Hafizah_Abd_Mutalib.pdf
Tags: Add Tag
No Tags, Be the first to tag this record!
id my-uum-etd.290
record_format uketd_dc
institution Universiti Utara Malaysia
collection UUM ETD
language eng
eng
topic LB Theory and practice of education
spellingShingle LB Theory and practice of education
Hafizah, Abd. Mutalib
Factors Affecting The Behavioral Intention To Use AssetDiplomat Software
description The swift advent of technology has affected our lives and the way we are doing things, and education system is not excluded. Previous method of teaching and learning using boards and chalks is now being replaced by various technology-based teaching aids as a medium which can make the process more effective. In Malaysian Polytechnics, the Curriculum Development Unit is in consideration to implement a new software, AssetDiplomat, to be used as teaching aids in Financial Accounting classes. An investment in technology would be a waste if the technology is not being utilized; therefore, the objective of this study is to investigate the impact of perceived usefulness, perceived ease of use, social factors and facilitating conditions on the behavioral intention to use AssetDiplomat software among the Malaysian Polytechnic lecturers. The research's theoretical foundation is based on the Technology Acceptance Model, and Triandis Model, which have been used in major researches involving technology acceptance and human behavior. A sample of 78 respondents has been selected for the purpose of this study and the results have been analyzed. The regression analysis indicates that there is a significant and positive influence of perceived usefulness, perceived ease of use and social factors on the behavioral intention to use the software. For facilitating conditions, although the influence is significant, indicate a negative relationship to the behavioral intention to use the software. For the management, the findings will help in understanding the factors which will influence the acceptance towards to the software. As for the academia, the findings validate most of the theories explained in the Technology Acceptance Model and the Triandis Model.
format Thesis
qualification_name masters
qualification_level Master's degree
author Hafizah, Abd. Mutalib
author_facet Hafizah, Abd. Mutalib
author_sort Hafizah, Abd. Mutalib
title Factors Affecting The Behavioral Intention To Use AssetDiplomat Software
title_short Factors Affecting The Behavioral Intention To Use AssetDiplomat Software
title_full Factors Affecting The Behavioral Intention To Use AssetDiplomat Software
title_fullStr Factors Affecting The Behavioral Intention To Use AssetDiplomat Software
title_full_unstemmed Factors Affecting The Behavioral Intention To Use AssetDiplomat Software
title_sort factors affecting the behavioral intention to use assetdiplomat software
granting_institution Universiti Utara Malaysia
granting_department College of Business (COB)
publishDate 2008
url https://etd.uum.edu.my/290/1/Hafizah_Abd_Mutalib.pdf
https://etd.uum.edu.my/290/2/Hafizah_Abd_Mutalib.pdf
_version_ 1747826880392724480
spelling my-uum-etd.2902013-07-24T12:06:31Z Factors Affecting The Behavioral Intention To Use AssetDiplomat Software 2008-10-30 Hafizah, Abd. Mutalib College of Business (COB) Graduate School LB Theory and practice of education The swift advent of technology has affected our lives and the way we are doing things, and education system is not excluded. Previous method of teaching and learning using boards and chalks is now being replaced by various technology-based teaching aids as a medium which can make the process more effective. In Malaysian Polytechnics, the Curriculum Development Unit is in consideration to implement a new software, AssetDiplomat, to be used as teaching aids in Financial Accounting classes. An investment in technology would be a waste if the technology is not being utilized; therefore, the objective of this study is to investigate the impact of perceived usefulness, perceived ease of use, social factors and facilitating conditions on the behavioral intention to use AssetDiplomat software among the Malaysian Polytechnic lecturers. The research's theoretical foundation is based on the Technology Acceptance Model, and Triandis Model, which have been used in major researches involving technology acceptance and human behavior. A sample of 78 respondents has been selected for the purpose of this study and the results have been analyzed. The regression analysis indicates that there is a significant and positive influence of perceived usefulness, perceived ease of use and social factors on the behavioral intention to use the software. For facilitating conditions, although the influence is significant, indicate a negative relationship to the behavioral intention to use the software. For the management, the findings will help in understanding the factors which will influence the acceptance towards to the software. As for the academia, the findings validate most of the theories explained in the Technology Acceptance Model and the Triandis Model. 2008-10 Thesis https://etd.uum.edu.my/290/ https://etd.uum.edu.my/290/1/Hafizah_Abd_Mutalib.pdf application/pdf eng validuser https://etd.uum.edu.my/290/2/Hafizah_Abd_Mutalib.pdf application/pdf eng public masters masters Universiti Utara Malaysia How to Conduct Pretesting. (1997). American Statictical Association. Abbitt, J. T., & Klett, M. D. (2007). Identifying Influences on Attitudes and Self- Eficacy Beliefs towards Technology Integration among Pre-service Teachers. Electronic Journal for the Integration of Technology in Education, 6,28-42. Ahadiat, N. (2005). Factors that may Influence or Hinder Use of Instructional Technology among Accounting Faculty. Campus-Wide Information Systems, Emerald Research Register, 22(4), 210-232. Brown, J. W. (2004). Techniques of Multivariate Data Analysis. Bryman, A. and Cramer, D. (2001) Quantitative Data Analysis with SPSS Release 10 for Windows: A guide for social scientists, East Essex: Routledge. CBL - Computer Based Learning (2007). Company Overview. http//www.cbl.net.my CDU (Bahagian Pembangunan dan Perkembangan Kurikulum), JPPKK. (2007). Perisian AssetDiplomat bagi Kursus Sistem Perakaunan Berkomputer di Politeknik dan Kolej Komuniti, KPTM. Retrieved from Government of Malaysia. CDU (Bahagian Pembangunan dan Perkembangan Kurikulum), JPPKK. (2008). Kursus Perisian AssetDiplomat. Retrieved from Government of Malaysia. Chang, P. V. C. (2004). The Validity of an Extended Technology Acceptance Model (TAM) for Predicting Infernet/Portal Usage. University of North Carolina at Chapel Hill. Crescenzi, A. M. C. (2005). User Acceptance of Electronic Meeting Technology in the Semiconductor Research Corporation. University of North Carolina at Chapel Hill. Davis, F. D. (1986). A Technology Acceptance Model for Empirically Testing New End-User Information Systems: Theory and Result. Cambridge. Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319-340. Davis, F. D., Begozzi, R., & Warshaw, P. R. (1989). User Acceptance of Computer Technology: A Comparison of Two Theoretical Models. Management Science, 38(5), 983- 1003. Genuardi, P. (2004). User Adoption of Information Technology: Implications for Application Development Research. Georgetown University, Washington D.C. Hair, J.F., Anderson, R.E., Tatham, R.L. and Black, W.C. (1998) Multivariate Data Analysis, 5th Ed., London: Prentice Hall. Jackson, C. M., Chow, S., & Leitch, R. A. (1997). Toward an Understanding of the Behavioral Intention to Use an Information System. Decision Sciences, 28(2), 357-389. Jung, H.-W., & Goldenson, D. R (2002). The Internal Consistency of Key Process Areas in the Capability Maturity Model Software Kiraz, E., & Ozdemir, D. (2006). The Relationship between Educational Ideologies and Technology Acceptance in Pre-service Teachers. Educational Journal and Society, 9(2), 152- 165. Kistner, E. O., & Muller, K. E. (2004). Exact Distributions of Interclass Correlation and Cronbach's Alpha with Gaussian Data and General Covariance. Psychometrics, 69(3), 459-474. Limayem, M., & Hirt, S. G. (2000). Internet-Based Teaching: How to Encourage University Students to Adopt Advanced Internet-Based Technologies. Paper presented at the International Conference on System Sciences, Hawaii. Luoho, R., Kallioja, M., & Oittinen, P. (2006). Factors Affecting the Use of Hybrid Media Application. Helsinki University of Technology. Moon, J.-W., & Kim, Y.-G. (2001). Extending the TAM for a World-Wide-Web Context. Information and Management, 38,217-230. Perkins, D. (1992). Smart Schools: Better Thinking and Learning for Every Child: www.arnazon.com. Polhemus, N. W. (2005). How To: Deal with Multicollinearity men Fitting a Regression Model Using STATGRAPHICS Centurion. Statpoint, Inc. Saade, R. G. (2003). Web-Based Educational Information System for Enhanced Learning, EISEL: Student Assessment. Journal of Information Technology Education, 2,267-277. Saade, R. G., & Kira, D. (2006). The Emotional State of Technology Acceptance Issues in Informing Science and Information Technology, 3, 529-539. Saade, R. G., Nebebe, F., & Tan, W. (2007). Viability of the Technology Acceptance Model in Multimedia Learning Environments: A Comparative Study. Interdisciplinary Journal of Knowledge and Learning Objects, 3, 175- 184. Sekaran. (2003). Measurement : Scaling, reliability, validity. In Research methods for business : A skill building approach.: John Wiley. Sundaravej, T. (2005). Empirical Validation of Unified Theory of Acceptance and Use of Technology Model: College of Business Administration University of Missouri at Saint Louis. Tabachnick, B.G. and Fidell, L.S. (2001) Using Multivariate Statistics, 4th Ed., London: A Pearson Education Company. Thompson, R. L., Higgins, C. A., & Howell, J. M. (1991). Personal Computing: Toward a Conceptual Model of Utilization. MIS Quarterly, 15(1), 125- 143. Triandis, H. C. (1980). Values, Attitudes and Interpersonal Behavior. University of Nebraska Press. Venkatesh, V., Morris, M. G., Davis, G. B., & Davis, F. D. (2003). User Acceptance of Information Technology: Toward a Unified View. MIS Quarterly, 27(3). Wang, C., Hsu, Y., & Fang, W. (2004). Acceptance of Technology with Network Externalities: An Empirical Study of Internet Messaging Services. Journal of Information Technology Theory and Application, 6(4), 15-28. Yu, J. L., Liu, C., & Yao, J. E. (2003). Technology Acceptance Model for Wireless Internet. Internet Research, 13(3), 206-222. Yushau, B. (2006). Computer Attitude, Use, Experience, Software Familiarity and Perceived Pedagogical Usefulness: The Case of Mathematics Professors. Eurasia Journal of Mathematics 2(3), 1 - 17. Zar, J.H. (1984) Biostatistical Analysis. Prentice Hall International, New Jersey. pp 43-45. Zickrnund, W. G. (2003). Business Research Methods. Thomson South Western, Ohio.