نوع مقاله : مقاله پژوهشی

نویسنده

استادیار بنیاد دانشنامه‌نگاری ایران

چکیده

فنّاوری‌های اطلاعات و ارتباطات، به عنوان فنّاوری غالب در هزاره جدید معرفی شده‌اند. این فنّاوری‌ها با سرعت بخشیدن به فرایند مبادله اطلاعات و کاهش هزینه‌های داد و ستد، به ابزاری برای افزایش بهره‌وری، کارآیی و رشد در تمامی حیطه‌های فعالیت بشری تبدیل شده‌اند. مزایای بالقوه این فنّاوری‌ها زمانی قابل حصول است که در بین تمام بخش‌های جامعه توسعه و گسترش یابند. در مقاله حاضر، نظریه‌های فردی پذیرش فنّاوری‌های اطلاعات و ارتباطات، ازجمله نظریه نشر نوآوری، مدل پذیرش فنّاوری، نظریه رفتار هدایت شده، پارادایم انتظار‌ـ تائید و نظریه یکپارچه پذیرش و استفاده از فنّاوری و نظریه‌های سازمانی شامل مدل تناسب بین وظیفه و فنّاوری، چارچوب فنّاوری‌‌ـ ‌سازمان‌ـ ‌محیط و چارچوب تناسب بین افراد، وظیفه و فنّاوری، شرح داده می‌شوند و در نهایت، متغیرهای تاثیرگذار بر کاربران برای پذیرش فنّاوری‌های اطلاعات و ارتباطات، معرفی می‌شوند. 
 

کلیدواژه‌ها

عنوان مقاله [English]

Common Theories on Acceptance of Information and Communication Technologies (ICTs

نویسنده [English]

  • Masud Rezaee

Assistant prof. of Iran Foundation of Encyclopedia Journalism

چکیده [English]

Information and communication technologies are widely thought as the new millennium’s dominant technologies. Speeding up information exchange and decreasing the cost of trade, these technologies continue to serve as a tool for boosting productivity, efficiency and growth in all fields of human activities. The potential benefits of these technologies are only achievable when they stretch through various domains of society. The present article discusses a range of theories on acceptance of information and communication technologies including, Diffusion of Innovations Theory (DIT), Technology Acceptance Model (TAM), Theory of Planned Behavior (TPB), Expectancy-Confirmation Paradigm, Unified Theory of Acceptance and Use of Technology (UTAUT), and organizational theories including Task-Technology Fit (TTF) model, Technology-Organization-Environment (TOE) framework and Fit between Individuals, Task and Technology (FITT) framework. Finally, variables affecting users’ acceptance of ICTs are introduced.
 
 

کلیدواژه‌ها [English]

  • Motivation
  • Acceptance
  • Information and Communication Technologies (ICTS)
  • Innovation

 

Aggelidis, V.P.& Chatzoglou, P.D. (2009). Using a Modified Technology Acceptance Model in Hospitals. International Journal of Medical Informations, 78, 115-126.
Burton-Jones, A. & Hubona, G.S. (2006). The Mediation of External Variables in the Technology Acceptance Model. Information & Management, 43, 706-717.
Chang, K.M., Cheung, W. (2001). Determinants of the Intention to Use Internet at Work: a Confirmatory Study. Information and Management, 39 (1), 1-14.
Chen, C.D.; Fan, Y.W & Farn, C.K. (2007). Predicting Electronic Toll Collection Service Adoption: An Integration of the Technology Acceptance Model and the Theory of Planned Behavior. Transportation Research, Part C, 15, 300-311.
Dillon, A., Morris, M. G. (1996). User Acceptance of Information Technology: Theories and Models. Annual Review of Information Science and Technology, 31, 3-32.
Dishaw, M.T.; Strong, D.M. & Bandy, D. B. (2002). Extending the Task-Technology Fit Model with Self-Efficacy Constructs. EighthAmericas Conference on Information Systems, Human-Computer Interaction Studies in MIS.
Fang, J.; Shao, P. & Lan, G. (2009). Effects of Innovativeness and Trust on Web Survey Participation. Computers in Human Behavior, 25, 144-152. 
Fishbein, M. & Ajzen, I. (1975). Belief, Attitude, Intention and Behavior: An Introduction Theory and Research. Reading, MA: Addison-Wesley.
Gupta, B.; Dasgupta, S. & Gupta, A. (2008). Adoption of ICT in a Government Organization in a Developing Country: An Empirical Study. Journal of Strategic Information Systems, 17, 140-154.
Hong, S.J.; Thong, J.Y.L. & Tam, K.Y. (2006). Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet, Decision Support Systems, 42, 1819-1834.
Howard, S.G. & Smith, D. R. (1986). Computer Anxiety in Management: Myth or Reality? Communications of the ACM, 29 (7), 611-615.
Im, I.; Kim, Y. & Han, H.J. (2008). The Effects of Perceived Risk and Technology Type on Users’ Acceptance of Technologies. Information & Management, 45, 1-9.
Joiner, R.; Gavin, J.; Duffield, J.; Brosnan, M.; Crook, C.; Durndell, A.; Maras, P.; Miller, J.; Scott, A.J. & Lovatt, P. (2005). Gender, Internet Identification and Internet Anxiety: Correlates of Internet Use. Cyberpsychology & Behavior, 8, 371-378.
Kang, Y.S.; Hong, S. & Lee, H. (2009). Exploring Continued Online Service Usage Behavior: The Roles of Self-Image Congruity and Regret. Computers in Human Behavior, 25,111-122.
Kim, B.; Choi, M. & Han, I. (2008). User Behaviors toward Mobile Data Services: The Role of Perceived Free and Prior Experience. Expert Systems with Applications, V.34. N.4.
Kuo, Y.F. & Yen, S.N. (2009). Towards an Understanding of the Behavioral Intention to Use 3G Mobile Value-added Services. Computers in Human Behavior, 25, 103-110.
Lee, S. & Kim, B.G. (2009). Factors Affecting the Usage of Internet: A Confirmatory Study. Computers in Human Behavior, 25, 191-201.
Liu, S.H.; Liao, H.L. & Peng, C.J. (2005). Applying the Technology Acceptance Model and Flow Theory to Online E-learning Users' Acceptance Behavior. Issues in Information Systems, Vol. VI, No. 2.
Lorin, M. H. & Erick, B. (1997). Information Technology and Internal Firm Organization: An Exploratory Analysis. Journal of Management Information Systems, Vol. 14, No. 9, 81-84.  
Malhotra, Y. & Galletta, D.F. (1999). Extending the Technology Acceptance Model to Account for Social Influence: Theoritical Bases and Empirical Validation. Proceedings of the 32nd Hawaii International Conference on System Sciences, 1-14.
Nigg, C.R.; Lippke, S. & Maddock, J.E. (2009). Factorial Invariance of the Theory of Planned Behavior Applied to Physical Activity across Gender, Age, and Ethnic Groups. Psychology of Sport and Exercise, 10, 219-225.
Pituch, K.A. & Lee, Y.K. (2004). The Influence of System Characteristics on E-Learning Use, Computer and Education. Retrieved from www.sciencedirect.com
Premkumar, G. & Bhattacherjee, A. (2008). Explaining Information Technology Usage:A test of Competing Models. Omega, 36, 64-75.
Saade, R.G. & Kira, D. (2006). The Emotional State of Technology Acceptance. Issues in Informing Science and Information Technology, Vol 3.
Schepers, J. & Wetzels, M. (2007). A Meta-Analysis of the Technology Acceptance Model: Investigating Subjective Norm and Moderation Effects. Information & Management, 44, 90-103.
Sun, H. & Zhang, P. (2006). The Role of Moderating Factors in User Technology Acceptance. Int. J. Human-Computer Studies, 64, 53-78.
Teo, S.H.; Lin, S. & Lai, K.H. (2008). Adopters and Non-Adopters of E-Procurement in Singapore: An Empirical study. Retrieved from Omega, doi: 10.1016/j.omega.
Thong, J.Y.L.; Hong, S.J. & Tam, K.Y. (2006). The Effects of Post Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance. Int. J. Human-Computer Studies, 64, 799-810.
Tisknakis, M. & Kouroubali, A. (2009). Organizational Factors Affecting Successful Adoption of Innovative E-Health Services: A Case Study Employing the FITT Framework. Int. J. Medical Informatics, 78, 39-52.
Tung, F.C.; Chang, S.C. & Chou, C.M. (2008). An Extension of Trust and TAM Model with IDT in the Adoption of the Electronic Logistics Information System in HIS in the Medical Industry. Int. J. Medical Informatics, 77, 324-335.
Tung, F.C. & Chang, S.C. (2008). Nursing Students’ Behavioral Intention to Use Online Courses: A Questionnaire Survey. Int. J. Nursing Studies, 45, 1299-1309.
Venkatesh, V. & Davis, F.D. (2000). A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies. Management Science, 46 (2), 186-204.
Walter, Z. & Lopez, M.S. (2008). Physician Acceptance of Information Technologies: Role of Perceived Threat to Professional Autonomy. Decision Support Systems, 46, 206-215.
Yi, M.Y.; Jackson, J.D.; Park, J.S. & Probst, J.C. (2006). Understanding Information Technology Acceptance by Individual Professionals: Toward an Integrative View. Information & Management, 43, 350-363.