The role of task-technology fit as users' motivation to continue information system use

In this study, we extend and combine the post-acceptance model (PAM), proposed by Bhattacherjee [Bhattacherjee, A. (2001). Understanding information systems continuance: An expectation-confirmation model. MIS Quarterly, 25(3), 351-370], with aspects of Goodhue and Thomson's theory of task-technology fit (TTF). The original PAM emphasizes cognitive beliefs and user feelings as factors that may influence a person's intention to continue to use an information system (IS). The variables added from TTF are task-technology fit and utilization. The sample consists of data that measure use and use-related aspects of an e-learning tool among university college teachers. Using structural equation modeling, results indicate that variables from TTF as well as variables from PAM explain users' IS continuance intention. As a result of these findings, we propose the existence of two different and autonomous paths from the independent variables to the dependent variable of IS continuance intention. These two paths are: a work system-centric path through utilization of the information system, and an IT-centric path through user satisfaction.

[1]  Moez Limayem,et al.  The Role of Habit in Information Systems Continuance: Examining the Evolving Relationship Between Intention and Usage , 2005, ICIS.

[2]  Naresh K. Malhotra,et al.  A Longitudinal Model of Continued IS Use: An Integrative View of Four Mechanisms Underlying Postadoption Phenomena , 2005, Manag. Sci..

[3]  Richard P. Bagozzi,et al.  A comparison of leading theories for the prediction of goal‐directed behaviours , 1995 .

[4]  R. Rust,et al.  Indirect Financial Benefits from Service Quality , 1996 .

[5]  Chao-Min Chiu,et al.  Determinants of continued use of the WWW: an integration of two theoretical models , 2004, Ind. Manag. Data Syst..

[6]  M. Conner,et al.  Extending the Theory of Planned Behavior: A Review and Avenues for Further Research , 1998 .

[7]  Szu-Yuan Sun,et al.  Usability, quality, value and e-learning continuance decisions , 2005, Comput. Educ..

[8]  Patrick Y. K. Chau,et al.  An Empirical Assessment of a Modified Technology Acceptance Model , 1996, J. Manag. Inf. Syst..

[9]  Enid Mumford,et al.  Computer systems in work design--the ETHICS method : effective technical and human implementation of computer systems , 1979 .

[10]  Kar Yan Tam,et al.  The Effects of Post-Adoption Beliefs on the Expectation-Confirmation Model for Information Technology Continuance , 2006, Int. J. Hum. Comput. Stud..

[11]  Paul Norman,et al.  The theory of planned behaviour and exercise: an investigation into the role of prior behaviour, behavioural intentions and attitude variability , 1995 .

[12]  Steven L. Alter.  Are the Fundamental Concepts of Information Systems Mostly About Work Systems? , 2001, Commun. Assoc. Inf. Syst..

[13]  Carol V. Brown,et al.  Nibco's "Big Bang" , 2000, Commun. Assoc. Inf. Syst..

[14]  Detmar W. Straub,et al.  A Practical Guide To Factorial Validity Using PLS-Graph: Tutorial And Annotated Example , 2005, Commun. Assoc. Inf. Syst..

[15]  Ravi Sen,et al.  A Qualitative Analysis Of The Role of Users, Vendors, and Governments in the Standards Development Process , 2006, Commun. Assoc. Inf. Syst..

[16]  Moez Limayem,et al.  How Habit Limits the Predictive Power of Intention: The Case of Information Systems Continuance , 2007, MIS Q..

[17]  David C. Yen,et al.  Theory of planning behavior (TPB) and customer satisfaction in the continued use of e-service: An integrated model , 2007, Comput. Hum. Behav..

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

[19]  Glenn J. Browne,et al.  Counterfactual Thoughts: A Theoretical Explanation of the Cognitive Mechanism Underlying the Formation of User Satisfaction and IS Continuance Intention , 2005, AMCIS.

[20]  Jonathan P. Allen.  Information systems use in continuously innovative organizations , 1998 .

[21]  Chao-Min Chiu,et al.  Predicting electronic service continuance with a decomposed theory of planned behaviour , 2004, Behav. Inf. Technol..

[22]  Chao-Min Chiu,et al.  Understanding e-learning continuance intention: An extension of the Technology Acceptance Model , 2006, Int. J. Hum. Comput. Stud..

[23]  J. Nunnally.  Psychometric Theory (2nd ed), New York: McGraw-Hill. , 1978 .

[24]  Enid Mumford,et al.  Socio-technical Design: An Unfulfilled Promise or a Future Opportunity , 2000, Organizational and Social Perspectives on IT.

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

[26]  Moez Limayem,et al.  Understanding information systems continuance: The case of Internet-based learning technologies , 2008, Inf. Manag..

[27]  Sirkka L. Jarvenpaa,et al.  The effect of task demands and graphical format on information processing strategies , 1989 .

[28]  Steven L. Alter.  18 Reasons Why IT-Reliant Work Systems Should Replace "The IT Artifact" as the Core Subject Matter of the IS Field , 2003, Commun. Assoc. Inf. Syst..

[29]  Maarten Gelderman,et al.  The relation between user satisfaction, usage of information systems and performance , 1998, Inf. Manag..

[30]  Fred D. Davis,et al.  Toward preprototype user acceptance testing of new information systems: implications for software project management , 2004, IEEE Transactions on Engineering Management.

[31]  Cheryl Burke Jarvis,et al.  A Critical Review of Construct Indicators and Measurement Model Misspecification in Marketing and Consumer Research , 2003 .

[32]  Viswanath Venkatesh,et al.  Technology Acceptance Model 3 and a Research Agenda on Interventions , 2008, Decis. Sci..

[33]  Ephraim R. McLean,et al.  The DeLone and McLean Model of Information Systems Success: A Ten-Year Update , 2003, J. Manag. Inf. Syst..

[34]  Tor J. Larsen,et al.  Information systems innovation and diffusion: issues and directions , 1998 .

[35]  R. Oliver.  A Cognitive Model of the Antecedents and Consequences of Satisfaction Decisions , 1980 .

[36]  Anol Bhattacherjee,et al.  Understanding Information Systems Continuance: An Expectation-Confirmation Model , 2001, MIS Q..

[37]  R. Lennox,et al.  Conventional wisdom on measurement: A structural equation perspective. , 1991 .

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

[39]  John Hulland,et al.  Use of partial least squares (PLS) in strategic management research: a review of four recent studies , 1999 .

[40]  Steven L. Alter.  Architecture of Sysperanto: A Model-Based Ontology of the IS Field , 2005, Commun. Assoc. Inf. Syst..

[41]  Anol Bhattacherjee,et al.  Explaining information technology usage: A test of competing models☆ , 2008 .

[42]  Steven L. Alter.  Which Life Cycle - Work System, Information System, or Software? , 2001, Commun. Assoc. Inf. Syst..

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

[44]  Susan A. Brown,et al.  Do I really have to? User acceptance of mandated technology , 2002, Eur. J. Inf. Syst..

[45]  T W Ferratt,et al.  An investigation of task-technology fit for managers in Greece and the US , 1998 .

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

[47]  Katherine N. Lemon,et al.  A Dynamic Model of Customers’ Usage of Services: Usage as an Antecedent and Consequence of Satisfaction , 1999 .

[48]  Iris Vessey,et al.  Cognitive Fit: A Theory‐Based Analysis of the Graphs Versus Tables Literature* , 1991 .

[49]  Pamela E. Carter,et al.  A Comprehensive Conceputalization of the Post-Adoptive Behaviors Associated with IT-Enabled Work Systems , 2005 .

[50]  Sheng Wu,et al.  Integrating perceived playfulness into expectation-confirmation model for web portal context , 2005, Inf. Manag..

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

[52]  Terry Ryan,et al.  The Role of Social Presence and Moderating Role of Computer Self-Efficacy in Predicting the Continuance Usage of E-Learning Systems , 2004, J. Inf. Syst. Educ..

[53]  Szu-Yuan Sun,et al.  An empirical analysis of the antecedents of web-based learning continuance , 2007, Comput. Educ..

[54]  C. Fornell,et al.  Evaluating structural equation models with unobservable variables and measurement error. , 1981 .