Adoption attitude towards the usage of pusher box technology in the rubber industry
DOI:
https://doi.org/10.14738/assrj.44.2731Abstract
This study has investigated the relationship between the adoption attitude towards usage of automatic pusher box system in rubber plant industry. The study was conducted in a rubber factory under Felda Global Venture (FGV) which is located in Negeri Sembilan, Malaysia. This company strive to be the global leader in natural rubber processing offering high quality products and services through good manufacturing and eco-friendly practice. Therefore, automatic pusher box system is one of the new technologies that is used in the company. Furthermore, this automatic pusher box it is suitable for saving manual labor hours and labor costs by replacing the current semi-automated system.
References
Abu, F., Jabar, J., & Yunus, A. R. (2015). Modified of UTAUT Theory in Adoption of Technology for Malaysia Small Medium Enterprises (SMEs) in Food Industry. Australian Journal of Basic and Applied Sciences, 9(4), 104–109.
Abu, F., Yunus, A. R., Majid, I. A., Jabar, J., Aris, A., Sakidin, H., & Ahmad, A. (2014). Technology Acceptance Model (TAM): Empowering Smart Customer To Participate in Electricity Supply System. Journal of Technology Management and Technopreneurship, 2 (1), 85–94.
Ajzen, I., & Fishbein, M. (1980). Understanding Attitudes and Predicting Social Behavior. Englewood Cliffs, NJ: Prentice-Hall Inc.
Ajzen, I. (1991).The Theory of Planned Behavior. Organizational Behavior and Human Decision Processes, 50,179-211.
Al-Gahtani, S. (2001). The applicability of TAM outside North America: An empirical test in the United Kingdom. Information Resources Management Journal, 14(3), 37-46.
Bagozzi, R, P. (2007). The legacy of the technology acceptance model and proposal for a paradigm shift. Journal of the Association for information systems, 8(4), 244-254.
Chuttur M.Y. (2009). "Overview of The Technology Acceptance Model: Origins, Developments and Future Directions," Indiana University, USA .Sprouts: Working Paperson Information Systems, 9(37).
C. M. Gomes and I. Kruglianskas. Management of External Sources of Technology Information and Innovation Performance. International Journal of Innovation and Technology Management, (vol.6) (no.1-4). Chau, P.Y.K., and P.J. Hu (2002) “Examining a Model of Information Technology Acceptance by Individual Professionals: An Exploratory Study” Journal of Management Information Systems 18(4), pp. 191-229.
Chau, P.Y.K., and P.J. Hu (2002) “Investigating Healthcare Professionals’ Decisions to Accept Telemedicine Technology: An Empirical Test of Competing Theories” Information and Management 39, pp. 297-311.
Davis F.( 1989): Perceived Usefulness, Perceived Ease Of Use, And User Acceptance Of Information Technology. MIS Quarterly, Vol. 13 318-341
Davis, F. D. (1989). Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology. MIS Quarterly, 13(3), 319–339.
David, A. K. (1998). Multiple Factor Models. Retrieved May 14, 2015 from http://davidakenny.net/cm/mfactor.htm
Davis Fred, D (1993). User Acceptance Of Information Technology: System Characteristics, User Perceptions And
Behavioral Impacts Int. J. Man-Machine Studies (1993) 38, 475-487
Eiker, J.K., and Sindi, A.A., (1997). User Acceptance of Expert Systems: A Test of the Theory of Reasoned Action. Journal of Engineering and Technology Management, 142 (2) 147-173
Fishbein, M., & Ajzen, I. (1975). Belief, Attitude, Intention and Behaviour: An Introduction to Theory and Research. Reading, MA: Addison-Wesley.
Gefen, D. & Straub, D. (2000). The Relative Importance of Perceived Ease of Use in IS Adoption. Journal of the Association for Information Systems Vol. 1(8)
Hair, J., R. Anderson, Tatham, R. and Black, W., 1998. Multivariate Data Analysis. Prentice Hall, New Jersey.
Jabar, J. (2012). Strategic technology alliances, technology transfer and the performance of Malaysian manufacturer. Journal of Engineering and Technology, 69-98.
Jagdeep, S., &Harwinder, S. (2012). Continuous Improvement Approach: State-of-Art-Review and Future Implications, 3(2), 89.
Lee, Y ounghwa; Kozar, Kenneth A.; and Larsen, Kai R .T. (2003)."The Technology Acceptance Model: Past, Present, and Future, "Communications of the Association for Information Systems: Vol. 12, Article 50. Retrieved April 25, 2015 from http://aisel.aisnet.org/cais/vol12/iss1/50
Lewin, G.W. (Ed.) (1948). Resolving Social Conflicts. New York, NY: Harper & Row. (Collection of articles by Kurt Lewin)
Siti Hajar, M., Norfaridatul Akmaliah, O., Juhaini, J., & Izaidin, A. M. (2014). Customer relationship management practices: the impact on organizational performance in SMEs of food manufacturing industry. European Journal of Business and Management, 35-48.
Moore, G. C. & Benbasat, I. 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research. Vol. 2(3), pp. 192-222.
Moore, G.C. and Benbasat, I., 1991. Development of an instrument to measure the perceptions of adopting an information technology innovation. Information Systems Research, 2,192-222.
Morris, M. G., & Venkatesh, V. (2000). Age differences in technology adoption decisions:Implications for a changing work force. Personnel Psychology, 53(2), 375-403.
Mathieson,K., E. Peacock, and W.W. Chin (2001) “Extending the Technology Acceptance Model: The Influence of Perceived User Resources” Data Base 32(3), pp. 86-112.
Rogers, (2003). Rogers, E.M., 1995. Diffusion of Innovations, 4th Edition. The Free Press, New York.
Shroff, R. H., Deneen, C. D. & Ng, E. M. W. (2011). Analysis of the Technology Acceptance Model in Examining Students’ Behavioural Intention to Use an E-Portfolio System. Australasian Journal of Educational Technology, 27(4), 600-618. Retrieved May 10, 2015 from http://www.ascilite.org.au/ajet/ajet27/shroff.html
Soosay, C., Nunes, B., Bennett, D. J., Sohal, A. S., Jabar, J., & Winroth, M. (2016). Strategies for sustaining manufacturing competitiveness Comparative case studies in Australia and Sweden. Journal of Manufacturing Technology Management, 27(1), 6–37. https://doi.org/10.1108/JMTM-04-2014-0043
Tan, M. & Teo, T. S. H. 2000. Factors influencing the adoption of Internet banking. Journal of the Association for Information Systems. Vol. 1 (5), pp. 1-42.
Teo, T. (2009). Modelling technology acceptance in education: A study of pre-service teachers.Computers & Education, 52(2), 302-312. http://dx.doi.org/10.1016/j.compedu.2008.08.006
Teo, T. & van Schalk, P. (2009). Understanding technology acceptance in pre-service teachers: A structuralequation modeling approach. The Asia-Pacific Education Researcher, 18(1), 47-66.
Venkatesh, V., Davis, F. (2000). A theoretical extension of the technology acceptance model: four longitudinal field studies. Management Science,46(2), 186-20
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