Evaluating technology resistance and technology satisfaction on students' performance

Purpose – Using the extended task‐technology fit (TTF) model, this paper aims to examine technology resistance, technology satisfaction and internet usage on students' performance.Design/methodology/approach – The study was conducted at Universiti Teknologi MARA, Johor, Malaysia and questionnaires were distributed to 354 undergraduate students.Findings – The structural equation modelling (SEM) results indicate that technology satisfaction and the internet usage significantly explains the variance on students' performance. Task‐technology fit is not a predictor of technology resistance but it does predict the internet usage. The internet usage has greater impact on technology satisfaction than technology satisfaction on the internet usage. Finally, technology resistance is not a predictor of students' performance.Research limitations/implications – The study focuses only on education in Malaysia and concentrates only on the students' performance and the relationship between technology resistance, technolog...

[1]  Pao-Ta Yu,et al.  An empirical investigation on learners' acceptance of e-learning for public unemployment vocational training , 2006 .

[2]  Gholamreza Torkzadeh,et al.  A path analytic study of determinants of information system usage , 1994 .

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

[4]  John D'Ambra,et al.  Use of the World Wide Web for international travel: Integrating the construct of uncertainty in information seeking and the task-technology fit (TTF) model , 2004, J. Assoc. Inf. Sci. Technol..

[5]  M. Aiken,et al.  College student Internet use , 2003 .

[6]  J. S. Long,et al.  Testing Structural Equation Models , 1993 .

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

[8]  R. Bagozzi,et al.  Representing and testing organizational theories: A holistic construal. , 1982 .

[9]  Kailash Joshi,et al.  A causal path model of the overall user attitudes toward the MIS function: The case of user information satisfaction , 1992, Inf. Manag..

[10]  Rahat H. Bokhari,et al.  The relationship between system usage and user satisfaction: a meta-analysis , 2005, J. Enterp. Inf. Manag..

[11]  Siong Choy Chong,et al.  A Study of Intranet Usage and Resistance in Malaysia's Port Industry , 2008, J. Comput. Inf. Syst..

[12]  Siong Choy Chong,et al.  The effects of students' backgrounds and attitudes on computer skills in Malaysia , 2007 .

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

[14]  Ephraim R. McLean,et al.  Information Systems Success: The Quest for the Dependent Variable , 1992, Inf. Syst. Res..

[15]  Siong Choy Chong,et al.  Perceived resistance, user resistance and managers' performance in the Malaysian port industry , 2008, Aslib Proc..

[16]  Chih-Hsiung Tu,et al.  The Measurement of Social Presence in an Online Learning Environment , 2002 .

[17]  Blake Ives,et al.  Executive Involvement and Participation in the Management of Information Technology , 1991, MIS Q..

[18]  Albert L. Lederer,et al.  A study of personal computer utilization by managers , 1990, Inf. Manag..

[19]  Fiaz Hussain,et al.  Using the Internet as a teaching resource , 1998 .

[20]  M. Browne,et al.  Alternative Ways of Assessing Model Fit , 1992 .

[21]  T. Wong,et al.  Key factors for small and medium enterprises in Taiwan to successfully implement information systems , 2005 .

[22]  D. Leonard-Barton,et al.  Managerial influence in the implementation of new technology , 1988 .

[23]  Dennis F. Galletta,et al.  Extending the technology acceptance model to account for social influence: theoretical bases and empirical validation , 1999, Proceedings of the 32nd Annual Hawaii International Conference on Systems Sciences. 1999. HICSS-32. Abstracts and CD-ROM of Full Papers.

[24]  Graham C. Low,et al.  Exploring Individual User Satisfaction Within User-Led Development , 1993, MIS Q..

[25]  Barbara D. Klein,et al.  User evaluations of IS as surrogates for objective performance , 2000, Inf. Manag..

[26]  Juhani Iivari,et al.  An empirical test of the DeLone-McLean model of information system success , 2005, DATB.

[27]  Rodney McAdam,et al.  Enterprise resource planning and organisational innovation: a management perspective , 2005, Ind. Manag. Data Syst..

[28]  Sheue-Ling Hwang,et al.  An integrated framework for continuous improvement on user satisfaction of information systems , 2006, Ind. Manag. Data Syst..

[29]  U. Sekaran.  Research Methods for Business , 1999 .

[30]  Jose Barbera,et al.  The Intranet: A New Concept for Corporate Information Handling. , 1996 .

[31]  Murali Raman,et al.  Intranet usage and managers' performance in the port industry , 2007, Ind. Manag. Data Syst..

[32]  John Atkinson,et al.  Sessional, weekly and diurnal patterns of computer lab usage by students attending a regional University in Australia , 2007, Comput. Educ..

[33]  Naveed Saleem,et al.  An Empirical Test of the Contingency Approach to User Participation in Information Systems Development , 1996, J. Manag. Inf. Syst..

[34]  Albert H. Segars,et al.  Re-examining perceived ease of use and usefulness , 1993 .

[35]  Peter B. Seddon,et al.  A Partial Test and Development of the DeLone and McLean Model of IS Success , 1994, ICIS.

[36]  Kailash Joshi,et al.  Understanding User Resistance and Acceptance during the Implementation of an Order Management System: A Case Study Using the Equity Implementation Model1 , 2005 .

[37]  Magid Igbaria,et al.  End-user computing effectiveness: A structural equation model , 1990 .

[38]  Dale Goodhue,et al.  Understanding user evaluations of information systems , 1995 .

[39]  J. Nunnally,et al.  Psychometric Theory: NY. , 1978 .

[40]  F. Biocca,et al.  Does home internet use influence the academic performance of low-income children? , 2006 .

[41]  Siong Choy Chong,et al.  Employers' preference and assessment of the qualities of fresh business graduates: empirical evidence from Malaysia , 2007 .

[42]  T. O’Brien,et al.  User survey at Waterford Institute of Technology Libraries: How a traditional approach to surveys can inform library service delivery , 2005 .

[43]  Mohamed Intan Salwani,et al.  Intranet usage, managerial satisfaction and performance impact: an empirical analysis , 2009 .

[44]  William J. Doll,et al.  The Measurement of End-User Computing Satisfaction , 1988, MIS Q..