Analysis of adopting an integrated DEMATEL on TAM and TTF model

This study aims to explore critical factors influencing technological diffusion while organization adopts innovative information technologies. Enterprise A constructing a computer reservation system (CRS) is employed as an empirical study for analyzing the factors impacting utilization of innovative information technological system based on technology acceptance model (TAM) as well as task-technology fit model (TTF). Moreover, decision making trial and evaluation laboratory (DEMATEL) is used to examine the causality along with interdependent level between items selected in integrated TAM-TTF model, and to assist in identifying critical variables of integrated model from CRS operator's perspective. The developed model helps managers understand key items for popularizing innovative technological information systems and formulate improvement strategies. This study contributes towards tackling the complex issues of CRS implication.

[1]  Chi-Jen Lin,et al.  A causal analytical method for group decision-making under fuzzy environment , 2008, Expert Syst. Appl..

[2]  Dale Goodhue,et al.  Task-Technology Fit and Individual Performance , 1995, MIS Q..

[3]  Kieran Mathieson,et al.  Beyond the interface: Ease of use and task/technology fit , 1998, Inf. Manag..

[4]  Toshiaki Tabuchi,et al.  A New Method of Paired Comparison by Improved Dematel Method : Application to the Integrated Evaluation of a Medical Information Which Has Multiple Factors , 2002 .

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

[6]  Wei-Wen Wu,et al.  Developing global managers' competencies using the fuzzy DEMATEL method , 2007, Expert Syst. Appl..

[7]  Fred D. Davis,et al.  A critical assessment of potential measurement biases in the technology acceptance model: three experiments , 1996, Int. J. Hum. Comput. Stud..

[8]  Martin Wetzels,et al.  A meta-analysis of the technology acceptance model: Investigating subjective norm and moderation effects , 2007, Inf. Manag..

[9]  Margaret Tan,et al.  The consequences of information technology acceptance on subsequent individual performance , 1997, Inf. Manag..

[10]  Ken-ichi Ishida,et al.  An Innovative Product Development Process for Resolving Fundamental Conflicts , 2005 .

[11]  Cynthia K. Riemenschneider,et al.  Understanding it adoption decisions in small business: integrating current theories , 2003, Inf. Manag..

[12]  Dale L. Goodhue,et al.  The model underlying the measurement of the impacts of the IIC on the end‐users , 1997 .

[13]  Yong-hun Kim.  Study on impact mechanism for beef cattle farming and importance of evaluating agricultural information in Korea using DEMATEL, PCA and AHP , 2006 .

[14]  Dale L. Goodhue,et al.  Development and Measurement Validity of a Task-Technology Fit Instrument for User Evaluations of Inf , 1998 .

[15]  吉弘 成田,et al.  融雪機の機能と故障解析に関する研究(機械要素,潤滑,工作,生産管理など) , 2002 .

[16]  Fred D. Davis.  User Acceptance of Information Technology: System Characteristics, User Perceptions and Behavioral Impacts , 1993, Int. J. Man Mach. Stud..

[17]  Chih-Hung Tsai,et al.  Kano`s Model and Decision Making Trial and Evaluation Laboratory Applied to Order Winners and Qualifiers Improvement: A Study of the Computer Industry , 2008 .

[18]  Magid Igbaria,et al.  Personal Computing Acceptance Factors in Small Firms: A Structural Equation Model , 1997, MIS Q..

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

[20]  A. Gabus,et al.  Perceptions of the world problematique: communication procedure, communicating with those bearing collective responsibility , 1973 .

[21]  Chih-Hung Tsai,et al.  Using Importance-Performance Analysis and Decision Making Trial and Evaluation Laboratory to Enhance Order-Winner Criteria ~ A Study of Computer Industry , 2008 .