Antecedences to continued intentions of adopting e-learning system in blended learning instruction: A contingency framework based on models of information system success and task-technology fit

The objective of this study is to propose a research framework that investigates the relation between perceived fit and system factors that can motivate learners in continuing utilizing an e-learning system in blended learning instruction. As learners have the face-to-face learning opportunity in interacting with lecturers, the study aims at investigating the critical features the e-learning system can provide in assisting learning. Both quantitative (survey) and qualitative (focus group interview) methods are applied in this paper. Results reveal that the information quality and task-technology fit influence the confirmation of system acceptance. Perceived usefulness and system satisfaction have major impacts on continuance intentions. Notions from contingency theory are used to interpret these findings.

[1]  Jane E. Klobas,et al.  A task-technology fit view of learning management system impact , 2009, Comput. Educ..

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

[3]  Izak Benbasat,et al.  The Effects of Personalizaion and Familiarity on Trust and Adoption of Recommendation Agents , 2006, MIS Q..

[4]  Doo Hun Lim,et al.  Learner and Instructional Factors Influencing Learning Outcomes within a Blended Learning Environment , 2009, J. Educ. Technol. Soc..

[5]  Waleed A. Muhanna,et al.  IT capabilities and firm performance: A contingency analysis of the role of industry and IT capability type , 2009, Inf. Manag..

[6]  Ephraim R. McLean,et al.  A meta-analytic assessment of the DeLone and McLean IS success model: An examination of IS success at the individual level , 2009, Inf. Manag..

[7]  Wynne W. Chin,et al.  A Partial Least Squares Latent Variable Modeling Approach for Measuring Interaction Effects: Results from a Monte Carlo Simulation Study and an Electronic - Mail Emotion/Adoption Study , 2003, Inf. Syst. Res..

[8]  Yan Li,et al.  Students' participation intention in an online discussion forum: Why is computer-mediated interaction attractive? , 2007, Inf. Manag..

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

[10]  Lih-Juan ChanLin Formats and prior knowledge on learning in a computer-based lesson , 2001, J. Comput. Assist. Learn..

[11]  Ilze Zigurs,et al.  A Theory of Task/Technology Fit and Group Support Systems Effectiveness , 1998, MIS Q..

[12]  Tanya J. McGill,et al.  How students and instructors using a virtual learning environment perceive the fit between technology and task , 2007, J. Comput. Assist. Learn..

[13]  Danny Miller,et al.  Strategy, Environment and Performance in Two Technological Contexts: Contingency Theory in Korea , 1996 .

[14]  C. Fornell,et al.  The American Customer Satisfaction Index: Nature, Purpose, and Findings , 1996 .

[15]  B. Clegg,et al.  An investigation into the acceptance of online banking in Saudi Arabia , 2009 .

[16]  Anol Bhattacherjee,et al.  Information Technology Continuance: A Theoretic Extension and Empirical Test , 2008, J. Comput. Inf. Syst..

[17]  Gwo-Dong Chen,et al.  Users' attitudes toward Web-based collaborative learning systems for knowledge management , 2008, Comput. Educ..

[18]  T. C. Edwin Cheng,et al.  The role of perceived user-interface design in continued usage intention of self-paced e-learning tools , 2009, Comput. Educ..

[19]  Eric T. G. Wang,et al.  Understanding Web-based learning continuance intention: The role of subjective task value , 2008, Inf. Manag..

[20]  Frederick L. Oswald,et al.  Perceived fit with an academic environment: Attitudinal and behavioral outcomes , 2008 .

[21]  Curtis J. Bonk,et al.  The Handbook of Blended Learning: Global Perspectives, Local Designs , 2005 .

[22]  Magid Igbaria,et al.  Information systems continuance intention of web-based applications customers: The case of online banking , 2008, Inf. Manag..

[23]  Arnold Kamis,et al.  Parametric search engines: What makes them effective when shopping online for differentiated products? , 2006, Inf. Manag..

[24]  Kan-Min Lin,et al.  e-Learning continuance intention: Moderating effects of user e-learning experience , 2011, Comput. Educ..

[25]  James Kariuki Njenga,et al.  The myths about e-learning in higher education , 2010, Br. J. Educ. Technol..

[26]  D. Wood,et al.  Help seeking, learning and contingent tutoring , 1999, Comput. Educ..

[27]  J. Hair Multivariate data analysis , 1972 .

[28]  Curtis J. Bonk,et al.  Examining the Roles of Blended Learning Approaches in Computer-Supported Collaborative Learning (CSCL) Environments: A Delphi Study , 2010, J. Educ. Technol. Soc..

[29]  Jen-Her Wu,et al.  An organizational memory information systems success model: an extension of DeLone and McLean's I/S success model , 1998, Proceedings of the Thirty-First Hawaii International Conference on System Sciences.

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

[31]  Huaping Chen,et al.  Credibility of Electronic Word-of-Mouth: Informational and Normative Determinants of On-line Consumer Recommendations , 2009, Int. J. Electron. Commer..

[32]  Buket Akkoyunlu,et al.  A Study of Student's Perceptions in a Blended Learning Environment Based on Different Learning Styles , 2008, J. Educ. Technol. Soc..

[33]  Hsin Hsin Chang,et al.  Task-technology fit and user acceptance of online auction , 2010, Int. J. Hum. Comput. Stud..

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

[35]  Raquel Benbunan-Fich,et al.  Separating the effects of knowledge construction and group collaboration in learning outcomes of web-based courses , 2006, Inf. Manag..

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

[37]  Jieun Lee Design of blended training for transfer into the workplace , 2010, Br. J. Educ. Technol..

[38]  Raafat George Saadé,et al.  The impact of cognitive absorption on perceived usefulness and perceived ease of use in on-line learning: an extension of the technology acceptance model , 2005, Inf. Manag..

[39]  Kent D. Miller,et al.  Different Truths in Different Worlds , 2010, Organ. Sci..

[40]  Moshe Zviran,et al.  A contingency model for estimating success of strategic information systems planning , 2010, Inf. Manag..

[41]  Ann L. Brown,et al.  How people learn: Brain, mind, experience, and school. , 1999 .