A Review of Technology Acceptance and Adoption Models and Theories

Abstract Recognition the needs and acceptance of individuals is the beginning stage of any businesses and this understanding would be helpful to find the way of future development, thus academicians are interested to realize the factors that drive users’ acceptance or rejection of technologies. A number of models and frameworks have been developed to explain user adoption of new technologies and these models introduce factors that can affect the user acceptance. In this paper, an overview of theories and models regarding user acceptance of technology has been provided. The existing review will emphasize literature that tries to show how developers and researchers presage the level of admission any information technology will attain.

[1]  Michael Tunstall Smart Card Security , 2017, Smart Cards, Tokens, Security and Applications, 2nd Ed..

[2]  Elena Karahanna,et al.  Reconceptualizing Compatability Beliefs in Technology Acceptance Research , 2006, MIS Q..

[3]  Fred D. Davis Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology , 1989, MIS Q..

[4]  Magid Igbaria,et al.  The respective roles of perceived usefulness and perceived fun in the acceptance of microcomputer technology , 1994, Behav. Inf. Technol..

[5]  Kieran Mathieson,et al.  Predicting User Intentions: Comparing the Technology Acceptance Model with the Theory of Planned Behavior , 1991, Inf. Syst. Res..

[6]  Viswanath Venkatesh,et al.  Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model , 2000, Inf. Syst. Res..

[7]  Wynne W. Chin,et al.  Factors motivating software piracy: a longitudinal study , 2004, IEEE Transactions on Engineering Management.

[8]  Fred D. Davis,et al.  User Acceptance of Computer Technology: A Comparison of Two Theoretical Models , 1989 .

[9]  Katherine M White,et al.  Using a theory of planned behaviour framework to explore hand hygiene beliefs at the ‘5 critical moments’ among Australian hospital-based nurses , 2015, BMC Health Services Research.

[10]  Waiman Cheung,et al.  Determinants of the intention to use Internet/WWW at work: a confirmatory study , 2001, Inf. Manag..

[11]  L Sjöberg,et al.  Worry and Risk Perception , 1998, Risk analysis : an official publication of the Society for Risk Analysis.

[12]  Claude Sicotte,et al.  Modeling factors explaining the acceptance, actual use and satisfaction of nurses using an Electronic Patient Record in acute care settings: An extension of the UTAUT , 2015, Int. J. Medical Informatics.

[13]  Christopher K. Hsee,et al.  Risk as Feelings , 2001, Psychological bulletin.

[14]  Icek Ajzen,et al.  From Intentions to Actions: A Theory of Planned Behavior , 1985 .

[15]  Ismail Sila,et al.  The state of empirical research on the adoption and diffusion of business-to-business e-commerce , 2015, Int. J. Electron. Bus..

[16]  Yogesh Kumar Dwivedi,et al.  Citizen's adoption of an e-government system: Validating extended social cognitive theory (SCT) , 2015, Gov. Inf. Q..

[17]  Judith Gulikers,et al.  Teacher interpersonal behaviour and student motivation in competence-based vocational education: Evidence from Indonesia , 2015 .

[18]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[19]  A. Bandura Self-efficacy mechanism in human agency. , 1982 .

[20]  I. Ajzen The theory of planned behavior , 1991 .

[21]  B. Kuo,et al.  Psychological Help-Seeking among Latin American Immigrants in Canada: Testing a Culturally-Expanded Model of the Theory of Reasoned Action Using Path Analysis , 2015 .

[22]  Christina Chung,et al.  Applying the technology acceptance model in a two-country study of SMS advertising , 2015 .

[23]  D. MacGregor Worry Over Technological Activities and Life Concerns , 1991 .

[24]  S. Counsell,et al.  A conceptual model for the process of IT innovation adoption in organizations , 2012 .

[25]  Marie-Pierre Gagnon,et al.  From recommendation to action: psychosocial factors influencing physician intention to use Health Technology Assessment (HTA) recommendations , 2006, Implementation science : IS.

[26]  France Bélanger,et al.  The utilization of e‐government services: citizen trust, innovation and acceptance factors * , 2005, Inf. Syst. J..

[27]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[28]  Shuenn-Ren Cheng,et al.  Exploration of usage behavioral model construction for university library electronic resources , 2015, Electron. Libr..

[29]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[30]  Jane M. Howell,et al.  Personal Computing: Toward a Conceptual Model of Utilization , 1991, MIS Q..

[31]  Deron Liang,et al.  Assessing citizen adoption of e-Government initiatives in Gambia: A validation of the technology acceptance model in information systems success , 2011, Gov. Inf. Q..

[32]  A. Bandura Self-efficacy: toward a unifying theory of behavioral change. , 1977, Psychological review.

[33]  B. Fischhoff,et al.  How safe is safe enough? A psychometric study of attitudes towards technological risks and benefits , 1978 .