Factors affecting technology accepnatce based on Davise model in FarsEducation
Subject Areas : Educationزهرا سرچهانی 1 , فخرالسادات نصیری ولیک بنی 2 , محمد رضا اردلان 3 , mojtaba sarchahani 4
1 - مدرس دانشکاه فرهنگیان فارس، پردیس شهید رجایی، گروه علوم تربیتی، شیراز، ایران
2 - دانشیاردانشگاه بوعلی سینا، دانشکده ادبیات و علوم انسانی، گروه علوم تربیتی، همدان، ایران
3 - دانشیاردانشگاه بوعلی سینا، دانشکده ادبیات و علوم انسانی، گروه علوم تربیتی، همدان، ایران
4 - کارشناسی ارشد مدیریت آموزشی، اداره آموزش و پرورش ناحیه 2شیراز، ایران
Keywords: technology acceptance model, personnel, FARS Education Office,
Abstract :
The purpose of this study was analysis of technology. The study involved all the Directorate General of Education Employees in the academic year of 2013-2014. According to Morgan Table. and by using stratified sampling, 165 people were sampled. In order to enhance the statistical power, 188 questionnaires were distributed and collected.. In order to collect data, Technology acceptance questionnaires were used. The validity of questionnaires according to the experts' ideas and its reliability according to the Cronbach's Alpha coefficient were considered and approved(0/896). In order to analyze data, Structural equation modeling techniques were used. The findings indicated that perceived usefulness and perceived usefulness, attitude to affect and attitudes to use and decided to use as mediators can influence the acceptance and use of technology. Based on the data analysis, the proposed conceptual model in this population is appropriate based on the goodness of fit. Consequently it is applicable to the population under study.
- AbdeKhoda, M., Ahmadi, M., Hosseini, A,F., Parikhani, E., Farhadi, A. (2014). Factors affecting the adoption of IT by medical staff in hospitals of Tehran University on Technology Acceptance Model.Tehran University of Medical Sciences Faculty of Paramedical (Health Pyavrd) Volume 7, Number 4, pp,287-298. [in Persian].
- Ajzen, I., Fishbein, M. (1975). "Understanding Attitudes and Predicting, Social Behavior".Englewood Cliffs, NJ: Prentice-Hall
- Ajzen, I. (1985). "from intention to actions: a theory of planned behavior". In J. Kuhl & J. Beckman (Eds.), Action-control: From cognition to behavior. New York, pp. 11-39
- Ajzen, I., Fishbein, M. (1980). "Understanding attitudes and predicting social behavior". Englewood Cliffs, NJ: Prentice-Hall.
- Ajzen, I., Fishbein, M.(1980). Understanding attitudes and predicting social behavior. New Jersey: Prentice-Hall; 1980.
- Akour, I. (2006). Factors influencing faculty computer, literacy and use in Jordan: A multivariate analysis. [Dissertation]. Louisiana Tech University; 2006.
- Bedman, N. (2013). "Service quality in automated teller machines: an empirical investigation". Managing Service Quality, Vol. 23 Iss: 1, pp.62 – 89
- Boufeas.,G. Halaris, I., Kokkinou, A. (2004). Business Plans for the Development of E-Government in Greece: An Appraisal". UNTC Occasional Papers No 5: Athens, Greece,
- Davis, F, D., Bagozzi, R, P., Warshaw , P, R.(1989). User acceptance of computer technology: A comparison of two theoretical models. Manag Sci. 1989; 35(8):982-1003.
- Davis, F, D. (1989). Perceived usefulness, perceived ease of .use, and user acceptance of information technology. MIS, Qua. 1989; 13(3):319–40.
- Elahi, Sh., Abdi, B., Danaeifard, H. (2010). Adoption of e-government in Iran: defining the role of the individual variables, the social organization and the adoption of technology. Public management perspective, Number 1 ,2010, pp. 41-67 [in Persian].
- Esmaeili, M., Toloei, Ashlaghi, A., Poorebrahimh, A., Esmaeili, R. (2013). Determine the acceptability and feasibility of implementing information technology staff at Shahid Beheshti University of Medical Sciences based on Davis. inquiring, Shahid Beheshti University of Medical Sciences Journal. Eighteenth year, No. 1, pages 40 to 45 April 2013: 15[in Persian].
- Fahami, R., Zare, H.(2014). Factors influencing the adoption of new technologies in distance education using technology acceptance model. a new approach to the Journal of Educational Administration, Issue 1, PP,67-80 [in Persian].
- GHorbanizadeh, V., Nangir, S,T,H., roodsaz, H. (2014). Meta-analysis of the factors affecting the adoption of information technology. management research in Iran, Volume 17, Number 2,pp,51-72. [in Persian].
- Hidarieh, S, A., Seyedhosseini, S,M., Shahabi, A. (2014). Simulation model of technology adoption in the banking system dynamics approach. Journal of Management Development, Vol. 1, No. 1, pp. 98-67 [in Persian].
- Hinnant, C. (2002). "Managerial Perceptions of E-Government Adoption by State Agencies". Ph.D. Thesis, Dept. of Public Administration and Policy. Athens. The University of Georgia.
- Hong, K.S. (2002). Relationships between student’ and instructional variables with satisfaction and learning from a web-based course. The Internet and Higher Education, 5, 267–281.
- Horst, M., Kuttschreuter, M., and Gutteling, M. (2007). "Perceived Usefulness, Personal Experiences, Risk Perception and Trust as Determinants of Adoption of E-Government Services in The Netherlands". Computers in Human Behavior, (23), 1838-1852.
- Kang, H. (2011). Critical Success Factors in Implementing Process-Oriented Knowledge Management Systems (PKMS) in the Public sector in Korea. Master Thesis, Iowa State University.
- Karahanna, E., Ahuja, M., Srite, M., Galvin, J. (2002).Individual Differences and Relative Advantage: The Case of GSS". Decision Support Systems, 32, 327-341.
- Khodad hosseni, S, M., Noori, A., Zabihi, M,R. (2014). The adoption of e-learning in higher education: application of the theory. technology acceptance model and service quality of e-journal of Research and Planning in Higher Education.No. 67, pp.111- 136 [in Persian].
- KHorasani. A., Abdolmalaki, H., Zahedi, J. (2011). Factors affecting the adoption of e-learning in students of Tehran University of Medical Sciences. Iranian Journal of Medical Education on Technology Acceptance Model / December 2011, pp. 664-673 [in Persian].
- Marche S., McNiven, J. D. (2003). "E-Government and E-Governance: The Future isn't what it used to be". Canadian Journal of Administrative Sciences, 2003, 74-86.
- Ndubisi, N. (2007)."Customers Perceptions and Intention to adopt Internet banking: The moderation effect of computer self-efficacy". AI & Soc, 21, pp. 315-327.
- Park, N., Roman, R., Lee, S., Chung, J. (2009)."User Acceptance of a Digital Library System in De veloping Countries: An Application of the Technology Acceptance Model". International Journal of Information Management, 29,196–209.
- Sahi G, K., Gupta, S. (2013)."Predicting customers' behavioral intentions toward ATM services".Journal of Indian Business Research, Vol. 5 Iss: 4, pp.251 – 270.
- Sobhanifard Y., Akhavan, Kharazian, M. (2012). Factor analysis, structural equation modeling and multilevel. Printing Tehran, Imam Sadegh University Press.
- Srite, M., Thatcher, J,B., Galy, E. (2008). Does within-culture variation matter? An empirical study of computer usage. J Global Info Manag. 2008; 16(1):1-25.
- Stewart, W., S, Coulson., R, Wilson. (2009). Information Technology: When is it Worth the Investment?. Communications of the IIMA, VoL 7, Iss 3, PP119-122.
- Titah, R., Bark, H. (2005). "E-Government Adoption and Acceptance: a Literature Review". HEC Montreal.
- Venkatesh, V. (2000). "Determinants of Perceived Ease of use Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model". Information Systems Research, 11, 342-365.
- Venkatesh, V., M, G., Morris, G, B., Davis, F. D. (2003). User acceptance of information technology: Towards a unified view. MIS Quarterly 27 (3): 425–478.
- Warkentin, M., Gefen, D., Pavlou, P, A., Rose, G.M. (2002). "Encouraging Citizen Adoption of e-Government by Building Trust". Electronic Markets, (123), pp. 157-162.
- Yaghobi, N,R., Shakeri,R. (2008). The analysis of the technology acceptance model, with emphasis on the adoption of Internet banking. Journal of Management Science, Vol. III, No. 11, pp 21-44[in Persian].
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