Beyond Adoption: Barriers to an Online Assignment Submission System Continued Use

Understanding the factors that affect continued use or discontinuance of an information system beyond initial adoption is one of the most challenging issues in information systems research. This paper combines information economics, the technology acceptance model (TAM), and diffusion of innovation theory, and analyzes barriers with respect to the continued use of information systems. The suggested model examines data collected from 284 former users enrolled in a blended distance learning university, who apparently abandoned an online assignment submission system. The findings indicate that behavioral intention to use the system was mainly influenced by its perceived ease of use, perceived usefulness, its real value, and general attitude towards new technologies. Social and institutional influence was quite low, but the major barrier to continuance was incompatibility with the assignment preparation process performed by the students, as well as the assignment checking process performed by the tutors, which discouraged continued use.

[1]  Detmar W. Straub,et al.  Structural Equation Modeling and Regression: Guidelines for Research Practice , 2000, Commun. Assoc. Inf. Syst..

[2]  Anand Jeyaraj,et al.  A review of the predictors, linkages, and biases in IT innovation adoption research , 2006, J. Inf. Technol..

[3]  Paul A. Pavlou,et al.  Building Effective Online Marketplaces with Institution-Based Trust , 2004, Inf. Syst. Res..

[4]  Terry S. Overton,et al.  Estimating Nonresponse Bias in Mail Surveys , 1977 .

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

[6]  J. Scott Armstrong,et al.  Estimating nonresponse bias in mail surveys. , 1977 .

[7]  Niv Ahituv,et al.  Assessing the value of information , 1989, ICIS '89.

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

[9]  Stuart J. Barnes,et al.  Rising sun: iMode and the wireless Internet , 2003, CACM.

[10]  Alex Koohang,et al.  Expanding the Concept of Usability , 2004 .

[11]  Nitza Geri,et al.  Vive la Différence: The Cross-Culture Differences Within Us , 2007, Int. J. e Collab..

[12]  Yair Levy The Top 10 Most Valuable Online Learning Activities for Graduate MIS Students , 2006, Int. J. Inf. Commun. Technol. Educ..

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

[14]  David Gefen,et al.  TAM or Just Plain Habit: A Look at Experienced Online Shoppers , 2003, J. Organ. End User Comput..

[15]  I. Ajzen,et al.  Understanding Attitudes and Predicting Social Behavior , 1980 .

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

[17]  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..

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

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

[20]  Anol Bhattacherjee,et al.  Understanding Changes in Belief and Attitude Toward Information Technology Usage: A Theoretical Model and Longitudinal Test , 2004, MIS Q..

[21]  Bob Travica,et al.  Of Disobedience, Divinations, Monsters and Fumbling: Adopting a Self-Service System , 2007 .

[22]  Ritu Agarwal,et al.  The Role of Innovation Characteristics and Perceived Voluntariness in the Acceptance of Information Technologies , 1997 .

[23]  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..

[24]  Detmar W. Straub,et al.  Information Technology Adoption Across Time: A Cross-Sectional Comparison of Pre-Adoption and Post-Adoption Beliefs , 1999, MIS Q..

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

[26]  Ashley A. Bush,et al.  Designing sticky knowledge networks , 2005, CACM.

[27]  Izak Benbasat,et al.  Development of an Instrument to Measure the Perceptions of Adopting an Information Technology Innovation , 1991, Inf. Syst. Res..

[28]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[29]  Detmar W. Straub,et al.  Trust and TAM in Online Shopping: An Integrated Model , 2003, MIS Q..

[30]  Niv Ahituv,et al.  A Systematic Approach Toward Assessing the Value of an Information System , 1980, MIS Q..

[31]  Yoram Eshet-Alkalai,et al.  Does the medium affect the message? The influence of text representation format on critical thinking , 2007 .

[32]  Daphne R. Raban,et al.  User-Centered Evaluation of Information: A Research Challenge , 2007, Internet Res..

[33]  Wynne W. Chin Issues and Opinion on Structural Equation Modeling by , 2009 .

[34]  May Sok Ching Chan,et al.  Factors Affecting Student Participation in the Online Learning Environment at the Open University of Hong Kong. , 2007 .

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

[36]  Carrie Spencer,et al.  Research on Learners' Preferences for Reading from a Printed Text or from a Computer Screen. , 2006 .