Teknologi Pengurusan Pengetahuan (TPP): Pengaruh Sikap, Norma Subjektif dan Persepsi Kawalan Gelagat

Authors

  • Hafizi Muhamad Ali Fakulti Kewangan dan Perbankan Universiti Utara Malaysia, Malaysia
  • Zawiyah Mohammad Yusof Fakulti Teknologi dan Sains Komputer Universiti Kebangsaan Malaysia, Malaysia

DOI:

https://doi.org/10.32890/ijms2006.13.1.7

Keywords:

Teknologi pengurusan pengetahuan, pengurusan pengetahuan, teori perancangan gelagat, teori difusi inovasi

Abstract

Kajian ini menggunakan Teori Perancangan Gelagat Ajzen dan Teori Difusi Inovasi Rogers untuk mengenal pasti sikap, norma subjektif dan persepsi kawalan gelagat yang mempengaruhi penerimaan teknologi pengurusan pengetahuan (TPP) di kalangan pekerja berpengetahuan di Malaysia. Fokus kajian adalah kepada teknologi pengurusan pengetahuan (TPP) kerana teknologi tersebut merupakan teknologi terkini bagi organisasi. Tinjauan menggunakan soal selidik sebagai alat pengumpulan data melibatkan seramai 162 responden. Hasil kajian mendapati sikap dan persepsi faktor kawalan gelagat adalah signifikan terhadap penerimaan teknologi pengurusan pengetahuan (TPP) berbanding pengaruh sosial. Secara khususnya, persepsi kelebihan relatif, kesesuaian, kebolehujian dan risiko mempengaruhi penerimaan teknologi pengurusan pengetahuan (TPP). Keyakinan terhadap teknologi pengurusan pengetahuan (TPP) dan sokongan kerajaan kepada pelaksanaan k-ekonomi merupakan faktor yang signifikan terhadap penerimaan teknologi pengurusan pengetahuan (TPP).

 

Downloads

Download data is not yet available.

References

Ackerman, M. S. (2000). The intellectual challenge of CSCW: The gap between social requirements and technical feasibility. Human-Computer Interaction, 15,179-203.

Ajzen, I. (1985). From intentions to actions: A theory of Planned 184 IJMS 14 (1), 163-187 (2006) Behavior. In J. Kuhl, & J. Beckmann (Eds.), Action Control: From Cognition to Behavior. New York: Springer-Verlag. www.ijms.uum.edu.my

Babbie, E. (1990). Survey Research Methods. Belmont, CA: Wadsworth Publishing Company.

Bandura, A. (1977). Self-efficacy: toward a unifying theory of Behavioral Change. Psychological Review, 84, 191-215.

Bandura, A. (1982). Self-efficacy mechanism in human agency. American Psychologist, 37(2),122-147. BNM (Bank Negara Malaysia). (2002). Laporan Tahunan 2002. Kuala Lumpur: Printelligence (M) Sdn Bhd. __________________. (2003). Laporan Tahunan 2003. Kuala Lumpur: Printelligence (M) Sdn Bhd.

Bauer, R. A. (1960). Consumer behavior as risk taking. In R.S. Hancock (Ed.), Dynamic Marketing in a Changing World, 389-398. Chicago: American Marketing Association.

Bhimani, A. (1996). Securing the commercial internet. Communications of the ACM, 39(6), 29-35.

Burkhardt, M. E & Brass, D. J. (1980). Changing patterns or patterns of change: The effects of a change in technology on social network structure and power. Administartive Science Quaterly, March, 140-

Chua, E. K. (1980). Consumer Intention to Deposit at Banks: An Empirical Investigation of its Relationship with Attitude, Normative Belief and Confidence. Academic Exercise, Faculty of Business Administration, National University of Singapore.

Cockburn, C. & Wilson, T. D. (1996). Business use of the world wide web. International Journal of Information Management, 16 (2), 83-102.

Compeau, D. R. & Higgins, C. A. (1995). Computer Self Efficacy: Development of a Measure and initial test. MIS Quarterly, 19 (2), 189-211.

Cooper, R. B. & Zmud, R. W. (1990). Information technology implementation research: A technological diffusion approach. Management Science, 36 (2), 123-139.

Dickerson, M. D. & Gentry, J. W. (1983). Characteristics of Adopters and Non-Adopters of Home Computers. Journal of Consumer Research, 10(September), 225-234.

Firestone, J.M. (1998). Basic Concept of Knowledge Management. (Online) http://www.dkms.com/KMBASIC.html (22 Mei 2004).

Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.

Foulger, D. A. (1991). Medium as process: The structure, use and practice of computer conferencing on IBM’s IBMPC computer IJMS 14 (1), 163-187 (2006) 185 conferencing facility. Ph.D thesis, Department of Communications. Temple University: Philadelphia, PA. www.ijms.uum.edu.my

Goh, H. P. (1995). The Diffusion of Internet in Singapore. Academic Exercise, Faculty of Business Administration, National University of Singapore.

Gujarati, D. N. (1995). Basic Econometrics. New York: McGraw-Hill.

Hair, J. F., Anderson, R. E., Tatham, R. L. & Black, W. C. (1992). Multivariate Data Analysis with Readings. New York: Macmillan.

Hartwick, J. & Barki, H. (1994). Explaining the role of user participation in information system use. Management Science, 40 (4), 440-465.

Hill, T., Smith, N. D. & Mann, M. F. (1986). Communicating innovations: convincing computer phobics to adopt innovative technologies. Advances in Consumer Research, 13, 419-422.

Hirschman, E. C. (1980). Innovativeness, novelty seeking and consumer creativity. Journal of Consumer Research, 7(December), 283-295. ISIS (Institute of Strategic and International Studies). (2002). Knowledge Based Economy Master Plan. Kuala Lumpur: Percetakan ISIS.

Ko, K. H. (1990). Promotion of IT applications in Singapore: policy issues and strategic thrusts. In C. Y. Kuo, C. M. Loh, & K. S. Raman (Eds.), Information Technology and Singapore Society: Trends, Policies and Applications. Singapore: Singapore University Press.

Kleinbaum, D.G., Kupper, L. L. & Muller, K. E. (1988). Applied Regression Analysis and Other Multivariate Methods. Boston: PWS.

KPMG. (1999). IKON Conference Report. (Online) confer_IKON.html” http://kpmg.interact.nl/new/ confer_IKON.html (25 Mei 2004).

Lai, Y. C. (1995). Technological Acceptance of the Internet in Singapore. Academic Exercise, Faculty of Business Administration, National University of Singapore.

Leong, Y. L. (1997). ECH programme hits its stride. ComputerWorld, 3(13).

Mann, M. M., Rudman, R. L., Jenckes, T. A. & McNurlin, B. C. (1997). EPRINET: Leveraging knowledge in the electric utility industry. In L. Prusak (Eds.), Knowledge in Organization. Woburn, MA: Butterworth-Heinemann.

Moore, G. C. (1987). End user computing and office automation: A diffusion of innovations perspective. INFOR, 25(3), 214-235.

Moore, G. C. & Benbasat, I. (1991). Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2(3), 192-222.

Nonaka, I. (1991). The knowledge creating company. Harvard Business Review, 69 (November-December), 96-104.

Nonaka, T. (1995). The Knowledge Creating Company. Oxford, UK: Oxford University Press. 186 IJMS 14 (1), 163-187 (2006)

Nonaka, I. & Takeuchi, H. (1994). A dynamic theory of organizational knowledge creation. Organizational Science, 5(1), 14-37. www.ijms.uum.edu.my

Novak, T. P. & Hoffman, D. (1997). Modelling the Structure of Flow Experience Among WebUsers. (Online) 1998 Modeling. the. Structure.of.the.Flow.Experience.html”http://www2000. ogsm. vanderbilt. edu/papers/flow. abstract. mit.1998Modeling. the.Structure.of.the.Flow.Experience. html (20 Mei 2004).

Nunally, J. C. (1967). Psychometric Theory. New York: McGraw-Hill.

Ostlund, L. E. (1974). Perceived innovation attributes as predictors of innovativeness. Journal of Consumer Research, 1(September), 23-29.

Polanyi, M. (1996). The Tacit Demension. London: Routledge & Kegan Paul. ____________.(1997). The Tacit imension. In L. Prusak (Ed.), Knowledge in Organization. Woburn, MA: Butterworth-Heinemann.

Rhee, H. S. & Riggins, F. (1997). GVU’s WWW User Surveys: High Level Summary of Internet Banking Survey. (Online) http://www.gvu.gatech.edu/user_surveys/survey-1997-04/graphs/ banking/report.html (23 Mei 2004).

Rogers, E. M. (1983). Diffusion of Innovations. New York: Free Press.

Ruggles, R. (1998). The state of the notion:Knowledge management in practice. California Management Review, 40 (3),80-89.

Sekaran, U. (2003). Research Methods for Business – A Skill Building Approach. New York: John Wiley and Sons.

SRI Consulting. (1997). Boomers with Young Children are Best Prospects for Home Banking and Investing. Menlo Park, CA: SRI Consulting.

Taylor, S. & Todd, P. A. (1995a). Assessing IT usage: The role of prior experiences. MIS Quarterly, 19 (3), 561-570. ___________________. (1995b). Understanding Information technology usage: A test of competing models. Information Systems Research, 6 (2), 144-176.

Tornatzky, L. G. & Klein, K. J. (1982). Innovation characteristics and innovation adoption-implementation: A meta-analysis of findings. IEEE Transactions on Engineering Management, 29 (1), 28-45.

Triandis, H. C. (1979). Values, Attitudes and Interpersonal Behavior. Lincoln, NE: University of Nebraska Press.

Webster, F. E. (1969). New product adoption in industrial markets: A framework for analysis. Journal of Marketing, 33 (3), 35-39. IJMS 14 (1), 163-187 (2006) 187

Downloads

Published

01-06-2006

Research impact

Harvested 2026-09-08
0 citations recorded so far

Counts differ between services because each indexes a different body of literature. None of them is the whole picture.

Identifiers DOI 10.32890/ijms2006.13.1.7 OpenAlex W1948307409 Semantic Scholar CorpusID 291817362

Most read articles by the same author(s)