Review of relationships among variables in TAM

The technology acceptance model (TAM) is an important tool in information technology research. Many scholars have applied the classical TAM to various research domains. However, the relationships between variables in these TAM models are not strongly desired. Thirty-four articles selected from international journals were analyzed to show that most of the relationships in the classical TAM are significant, but the stabilities of these relationships differ. The significant positive relationships between perceived ease of use and its independent variables are more stable than the others. Various factors can strengthen or weaken these relationships.

[1]  Hans van der Heijden,et al.  User Acceptance of Hedonic Information Systems , 2004, MIS Q..

[2]  Fred D. Davis,et al.  A Model of the Antecedents of Perceived Ease of Use: Development and Test† , 1996 .

[3]  Sammy W. Pearson,et al.  Development of a Tool for Measuring and Analyzing Computer User Satisfaction , 1983 .

[4]  Claire Massey,et al.  The technology acceptance model and use of technology in New Zealand dairy farming , 2004 .

[5]  S.-S. Liaw,et al.  Understanding user perceptions of World-wide web environments , 2002, J. Comput. Assist. Learn..

[6]  A. F. Salam,et al.  An extension of the technology acceptance model in an ERP implementation environment , 2004, Inf. Manag..

[7]  Chin-Lung Hsu,et al.  Why do people play on-line games? An extended TAM with social influences and flow experience , 2004, Inf. Manag..

[8]  Bernadette Szajna,et al.  Empirical evaluation of the revised technology acceptance model , 1996 .

[9]  Jason Bennett Thatcher,et al.  Moving Beyond Intentions and Toward the Theory of Trying: Effects of Work Environment and Gender on Post-Adoption Information Technology Use , 2005, MIS Q..

[10]  Diane M. Strong,et al.  Extending the technology acceptance model with task-technology fit constructs , 1999, Inf. Manag..

[11]  Detmar W. Straub,et al.  Gender Differences in the Perception and Use of E-Mail: An Extension to the Technology Acceptance Model , 1997, MIS Q..

[12]  Jaejeung Rho,et al.  Extending the TAM for a t-commerce , 2005, Inf. Manag..

[13]  Viswanath Venkatesh,et al.  Why Don't Men Ever Stop to Ask for Directions? Gender, Social Influence, and Their Role in Technology Acceptance and Usage Behavior , 2000, MIS Q..

[14]  Peter Roberts,et al.  Information technology acceptance in a sample of government employees: a test of the technology acceptance model , 2000, Interact. Comput..

[15]  Hung-Pin Shih,et al.  An empirical study on predicting user acceptance of e-shopping on the Web , 2004, Inf. Manag..

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

[17]  Paul Jen-Hwa Hu,et al.  Examining technology acceptance by school teachers: a longitudinal study , 2003, Inf. Manag..

[18]  Kenneth C. C. Yang,et al.  Exploring factors affecting the adoption of mobile commerce in Singapore , 2005, Telematics Informatics.

[19]  Subhasish Dasgupta,et al.  User Acceptance of E-Collaboration Technology: An Extension of the Technology Acceptance Model , 2002 .

[20]  Judy Drennan,et al.  Factors Affecting Student Attitudes Toward Flexible Online Learning in Management Education , 2005 .

[21]  Kar Yan Tam,et al.  What leads to user acceptance of digital libraries? , 2004, CACM.

[22]  Said S. Al-Gahtani,et al.  Attitudes, satisfaction and usage: Factors contributing to each in the acceptance of information technology , 1999, Behav. Inf. Technol..

[23]  Viswanath Venkatesh,et al.  Creation of Favorable User Perceptions: Exploring the Role of Intrinsic Motivation , 1999, MIS Q..

[24]  I-Chiu Chang,et al.  An empirical study on the impact of quality antecedents on tax payers' acceptance of Internet tax-filing systems , 2005, Government Information Quarterly.

[25]  Youngjin Yoo,et al.  It's all about attitude: revisiting the technology acceptance model , 2004, Decis. Support Syst..

[26]  Paul Jen-Hwa Hu,et al.  Investigating healthcare professionals' decisions to accept telemedicine technology: an empirical test of competing theories , 2002, Inf. Manag..

[27]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[28]  Honglei Li,et al.  Technology acceptance model for internet banking: an invariance analysis , 2005, Inf. Manag..

[29]  Shin-Yuan Hung,et al.  User acceptance of WAP services: test of competing theories , 2005, Comput. Stand. Interfaces.

[30]  Ing-Long Wu,et al.  An extension of Trust and TAM model with TPB in the initial adoption of on-line tax: An empirical study , 2005, Int. J. Hum. Comput. Stud..

[31]  Beomsoo Kim,et al.  Adoption of broadband Internet in Korea: the role of experience in building attitudes , 2003, J. Inf. Technol..

[32]  G. Kersten,et al.  National Cultural Differences in the Use and Perception of Internet-based NSS: Does High or Low Context Matter? , 2004 .

[33]  Chorng-Shyong Ong,et al.  Gender differences in perceptions and relationships among dominants of e-learning acceptance , 2006, Comput. Hum. Behav..

[34]  Peter A. Todd,et al.  Assessing IT usage: the role of prior experience , 1995 .

[35]  Yi-Shun Wang,et al.  The adoption of electronic tax filing systems: an empirical study , 2003, Gov. Inf. Q..

[36]  Peter A. Todd,et al.  Understanding Information Technology Usage: A Test of Competing Models , 1995, Inf. Syst. Res..

[37]  I. Ajzen,et al.  Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research , 1977 .