Usability, expectation, confirmation, and continuance intentions to use electronic textbooks

A trend in education is the use of electronic textbooks (e-textbook, [Stone, R. W., and L. Baker-Eveleth. 2013. “Students’ Expectation, Confirmation, and Continuance Intention to Use Electronic Textbooks.” Computers in Human Behavior 29 (3): 984–990.]). A variety of research has examined the motivations for e-textbook adoption as well as continuance intentions of e-textbooks after an initial adoption. This research extends the continuance intentions literature using the expectation–confirmation model ([Bhattacherjee, A. 2001. “Understanding Information Systems Continuance: An Expectation–Confirmation Model.” MIS Quarterly 25 (3): 351–370.]) and including the constructs of e-textbook usability and its dimensions. The data were responses to an online questionnaire by students at a medium-sized (USA) university. A total of 1434 responses were received for a 12.52% response rate. These responses were partitioned to include only complete responses from students who had previously used an e-textbook. This produced a sample of 639 questionnaire responses for empirical analysis. The analysis was performed using structural equation modelling (i.e. Procedure Calis in PC SAS version 9.2). The results showed that students' continuance intentions of e-textbooks are driven by students' satisfaction with e-textbooks and perceived usefulness. Additionally, students' expectation–confirmation and e-textbook usability positively influence both students' satisfaction and perceived usefulness and hence the intentions for continued e-textbook adoptions. Finally, the usability dimensions of efficiency and effectiveness significantly influence e-textbook usability.

[1]  Detmar W. Straub,et al.  Specifying Formative Constructs in Information Systems Research , 2007, MIS Q..

[2]  Cliff Lampe,et al.  The Benefits of Facebook "Friends: " Social Capital and College Students' Use of Online Social Network Sites , 2007, J. Comput. Mediat. Commun..

[3]  J. Guilford Psychometric methods, 2nd ed. , 1954 .

[4]  Matthew K. O. Lee,et al.  The Continuance of Online Social Networks: How to Keep People Using Facebook? , 2010, 2010 43rd Hawaii International Conference on System Sciences.

[5]  Rex Perez Bringula,et al.  Influence of faculty- and web portal design-related factors on web portal usability: A hierarchical regression analysis , 2013, Comput. Educ..

[6]  Tom R. Eikebrokk,et al.  Explaining IS continuance in environments where usage is mandatory , 2008, Comput. Hum. Behav..

[7]  Jack Suess,et al.  Identity Management and Trust Services: Foundations for Cloud Computing. , 2009 .

[8]  Irene Y. L. Chen,et al.  The factors influencing members' continuance intentions in professional virtual communities — a longitudinal study , 2007, J. Inf. Sci..

[9]  S. M. Zabed Ahmed A comparison of usability techniques for evaluating information retrieval system interfaces , 2008 .

[10]  RaiArun,et al.  Assessing the Validity of IS Success Models , 2002 .

[11]  J. Michael Pearson,et al.  Development of a Web Site Usability Instrument Based on ISO 9241-11 , 2006, J. Comput. Inf. Syst..

[12]  Lori Baker-Eveleth,et al.  Content Analysis of a Computer-Based Faculty Activity Repository. , 2013 .

[13]  R. Kelly Rainer,et al.  Toward Development of the End User Computing Construct in a University Setting , 1993 .

[14]  John J. Siegfried,et al.  The Structure of the Introductory Economics Course in United States Colleges , 1983 .

[15]  Venkateshviswanath,et al.  A Theoretical Extension of the Technology Acceptance Model , 2000 .

[16]  BennettDavid,et al.  Electronic versus traditional print textbooks , 2013 .

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

[18]  Amanda J. Rockinson-Szapkiw,et al.  Electronic versus traditional print textbooks: A comparison study on the influence of university students' learning , 2013, Comput. Educ..

[19]  Robert W. Stone,et al.  The roles of computer self-efficacy, outcome expectancy, and attribution theory in impacting computer system use , 2001 .

[20]  Sumit Sircar,et al.  An Empirical Model of Software Size and Work-Effort Estimation for Business Application Software , 2006, J. Comput. Inf. Syst..

[21]  James T. C. Teng,et al.  Extended conceptualisation of perceived usefulness: empirical test in the context of information system use continuance , 2012, Behav. Inf. Technol..

[22]  Arun Rai,et al.  Assessing the Validity of IS Success Models: An Empirical Test and Theoretical Analysis , 2002, Inf. Syst. Res..

[23]  Jakob Nielsen,et al.  Designing Web Usability: The Practice of Simplicity , 1999 .

[24]  Charlie C. Chen,et al.  An Integrative Model to Predict the Continuance Use of Electronic Learning Systems: Hints for Teaching , 2006 .

[25]  Viswanath Venkatesh,et al.  Assessing a Firm's Web Presence: A Heuristic Evaluation Procedure for the Measurement of Usability , 2002, Inf. Syst. Res..

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

[27]  Michael R. Mullen,et al.  Structural equation modelling: guidelines for determining model fit , 2008 .

[28]  R. Eric Landrum,et al.  Comparing Student Perceptions of Textbooks: Does Liking Influence Learning? , 2012 .

[29]  Deborah Compeau,et al.  Computer Self-Efficacy: Development of a Measure and Initial Test , 1995, MIS Q..

[30]  Samer Khasawneh,et al.  Self-efficacy and college students' perceptions and use of online learning systems , 2007, Comput. Hum. Behav..

[31]  Muris Cicic,et al.  Antecedents of information systems user behaviour – extended expectation-confirmation model , 2013, Behav. Inf. Technol..

[32]  Ohbyung Kwon,et al.  Intimacy, familiarity and continuance intention: An extended expectation-confirmation model in web-based services , 2011, Electron. Commer. Res. Appl..

[33]  Lukas Furst,et al.  Multivariate Data Analysis With Readings , 2016 .

[34]  Udo Konradt,et al.  Usability in online shops: scale construction, validation and the influence on the buyers’ intention and decision , 2003, Behav. Inf. Technol..

[35]  Lori Baker-Eveleth,et al.  Students' expectation, confirmation, and continuance intention to use electronic textbooks , 2013, Comput. Hum. Behav..

[36]  Natthapat Insoun การวิเคราะหวรรณกรรมสําหรับเด็กไทยวัย 6-12ป ที่มีเนื้อหาดานคุณธรรมและจริยธรรม (Content Analysis of Moral and Ethics in Thai Children Literature for 6-12 Years) , 2015 .

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

[38]  Magid Igbaria,et al.  Determinants of MIS employees' turnover intentions: a structural equation model , 1992, CACM.

[39]  Jean Vanderdonckt,et al.  The influence of a knowledge-based system on designers' cognitive activities: a study involving professional web designers , 2009, Behav. Inf. Technol..

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

[41]  Phyllis T. H. Grummon Trends in Higher Education , 2010 .

[42]  Matthew K. O. Lee,et al.  Predicting continuance in online communities: model development and empirical test , 2010, Behav. Inf. Technol..

[43]  Ming-Chi Lee,et al.  Explaining and predicting users' continuance intention toward e-learning: An extension of the expectation-confirmation model , 2010, Comput. Educ..

[44]  John Michael Pearson,et al.  Integrating website usability with the electronic commerce acceptance model , 2011, Behav. Inf. Technol..

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

[46]  Eden Dahlstrom,et al.  ECAR Study of Undergraduate Students and Information Technology, 2014. , 2014 .

[47]  Erin Cassidy,et al.  Higher education and emerging technologies: Shifting trends in student usage. , 2014 .

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

[49]  David C. Yen,et al.  Factors influencing the continuance intention to the usage of Web 2.0: An empirical study , 2012, Comput. Hum. Behav..

[50]  Stefka Toleva-Stoimenova,et al.  Informing via Websites: Comparative Assessment of University Websites , 2013 .

[51]  Fred D. Davis,et al.  A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies , 2000, Management Science.

[52]  M. Appelbaum,et al.  Psychometric methods. , 1989, Annual review of psychology.

[53]  Andreas Sonderegger,et al.  The influence of product aesthetics and usability over the course of time: a longitudinal field experiment , 2012, Ergonomics.

[54]  Himalaya Patel,et al.  An Improved Usability Measure Based on Novice and Expert Performance , 2011, Int. J. Hum. Comput. Interact..