Extending the expectation-confirmation model with quality and flow to explore nurses’ continued blended e-learning intention

Purpose – The purpose of this paper is to propose a hybrid model based on the expectation-confirmation model (ECM), flow theory, and updated DeLone and McLean information system (IS) success model to examine whether quality factors as the antecedents to nurse beliefs affected nurses’ intention to continue using the blended electronic learning (e-learning) system. Design/methodology/approach – Sample data for this study were collected from nurses at five hospitals in Taiwan. A total of 500 questionnaires were distributed, 396 (79.2 percent) questionnaires were returned. Consequently, 378 usable questionnaires were analyzed in this study, with a usable response rate of 75.6 percent. Collected data were analyzed using structural equation modeling. Findings – Information quality, system quality, support service quality, and instructor quality contribute significantly to perceived usefulness (PU), confirmation, and flow, which together explain nurses’ satisfaction with the usage of the blended e-learning syste...

[1]  James C. Anderson,et al.  STRUCTURAL EQUATION MODELING IN PRACTICE: A REVIEW AND RECOMMENDED TWO-STEP APPROACH , 1988 .

[2]  Chin-Chung Tsai,et al.  The relationships among nurses' job characteristics and attitudes toward web-based continuing learning. , 2013, Nurse education today.

[3]  Boštjan Žvanut,et al.  The effect of voluntariness on the acceptance of e-learning by nursing students. , 2011, Nurse education today.

[4]  Chin-Chung Tsai,et al.  A pilot study on conducting mobile learning activities for clinical nursing courses based on the repertory grid approach. , 2011, Nurse education today.

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

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

[7]  Ing-Long Wu,et al.  International Journal of Information Management , 2022 .

[8]  Wen-Shan Lin,et al.  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 , 2012, Comput. Educ..

[9]  Harvey Mellar,et al.  Quality enhancement for e-learning courses: The role of student feedback , 2010, Comput. Educ..

[10]  Ya-Ching Lee,et al.  An empirical investigation into factors influencing the adoption of an e-learning system , 2006, Online Inf. Rev..

[11]  Chin-Chung Tsai,et al.  The roles of social factor and internet self-efficacy in nurses' web-based continuing learning. , 2014, Nurse education today.

[12]  Jyh‐Chong Liang,et al.  Nurses’ motivations for Web‐based learning and the role of Internet self‐efficacy , 2010 .

[13]  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..

[14]  Jae Hyoung Lee,et al.  An empirical examination of the acceptance behaviour of hotel front office systems: An extended technology acceptance model , 2008 .

[15]  P. M. Podsakoff,et al.  Self-Reports in Organizational Research: Problems and Prospects , 1986 .

[16]  Liang Zhou,et al.  Enhancing e-learning experience with online social networks , 2011, IET Commun..

[17]  Matthew K. O. Lee,et al.  Acceptance of Internet-based learning medium: the role of extrinsic and intrinsic motivation , 2005, Inf. Manag..

[18]  Elena Karahanna,et al.  Time Flies When You're Having Fun: Cognitive Absorption and Beliefs About Information Technology Usage , 2000, MIS Q..

[19]  Shu Yu,et al.  Applying the technology acceptance model to explore public health nurses' intentions towards web-based learning: a cross-sectional questionnaire survey. , 2008, International journal of nursing studies.

[20]  Keenan A. Pituch,et al.  The influence of system characteristics on e-learning use , 2006, Comput. Educ..

[21]  Eric W. T. Ngai,et al.  Empirical examination of the adoption of WebCT using TAM , 2007, Comput. Educ..

[22]  Glenda Cook,et al.  Distance learning in post-qualifying nurse education. , 2004, Nurse education today.

[23]  Traci Sitzmann,et al.  The Influence of Goal Orientation Dimensions on Time to Train in a Self-Paced Training Environment , 2009 .

[24]  P. Jokinen,et al.  Teachers' experiences of teaching in a blended learning environment. , 2013, Nurse education in practice.

[25]  Yulin Fang,et al.  Promoting the Intention of Students to Continue Their Participation in E-learning Systems: The Role of the Communication Environment , 2012, Inf. Technol. People.

[26]  Soung Hie Kim,et al.  ERP training with a web-based electronic learning system: The flow theory perspective , 2007, Int. J. Hum. Comput. Stud..

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

[28]  Echo Huang,et al.  Online Experiences and Virtual Goods Purchase Intention , 2012, Internet Res..

[29]  Roisin Donnelly,et al.  Harmonizing technology with interaction in blended problem-based learning , 2010, Comput. Educ..

[30]  In Lee,et al.  Learners' acceptance of e-learning in South Korea: Theories and results , 2009, Comput. Educ..

[31]  L. Cronbach.  Coefficient alpha and the internal structure of tests , 1951 .

[32]  Meng Chang Chen,et al.  Extending the TAM model to explore the factors that affect Intention to Use an Online Learning Community , 2010, Comput. Educ..

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

[34]  Juan I. Sanchez,et al.  Corporate support in the aftermath of a natural disaster: Effects on employee strains , 1995 .

[35]  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..

[36]  Gilbert A. Churchill.  A Paradigm for Developing Better Measures of Marketing Constructs , 1979 .

[37]  Manuel J. Sánchez-Franco,et al.  WebCT - The quasimoderating effect of perceived affective quality on an extending Technology Acceptance Model , 2010, Comput. Educ..

[38]  Jennifer Dempsey,et al.  The design and implementation of an Interactive Computerised Decision Support Framework (ICDSF) as a strategy to improve nursing students' clinical reasoning skills. , 2011, Nurse education today.

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

[40]  Hsiu-Li Liao,et al.  Impact of media richness and flow on e-learning technology acceptance , 2009, Comput. Educ..

[41]  Hsiu-Fen Lin,et al.  The role of online and offline features in sustaining virtual communities: an empirical study , 2007, Internet Res..

[42]  Anol Bhattacherjee,et al.  An empirical analysis of the antecedents of electronic commerce service continuance , 2001, Decis. Support Syst..

[43]  Ming-Chien Hung,et al.  Assessing the Quality of a Web-based Learning System for Nurses , 2009, Journal of Medical Systems.

[44]  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..

[45]  Ruey-Hsia Wang,et al.  Evaluation of self-regulatory online learning in a blended course for post-registration nursing students in Taiwan. , 2009, Nurse education today.

[46]  Dowming Yeh,et al.  What drives a successful e-Learning? An empirical investigation of the critical factors influencing learner satisfaction , 2008, Comput. Educ..

[47]  M. Csíkszentmihályi.  Flow. The Psychology of Optimal Experience. New York (HarperPerennial) 1990. , 1990 .

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

[49]  Arnon Hershkovitz,et al.  Online persistence in higher education web-supported courses , 2011, Internet High. Educ..

[50]  Sang-Gun Lee,et al.  Validating E-learning factors affecting training effectiveness , 2007, Int. J. Inf. Manag..

[51]  Heba El-Deghaidy,et al.  Effectiveness of a blended e-learning cooperative approach in an Egyptian teacher education programme , 2008, Comput. Educ..

[52]  Ahmad Baylari,et al.  Design a personalized e-learning system based on item response theory and artificial neural network approach , 2009, Expert Syst. Appl..

[53]  Sevgi Özkan,et al.  Multi-dimensional students' evaluation of e-learning systems in the higher education context: An empirical investigation , 2009, Comput. Educ..

[54]  Su-Chao Chang,et al.  Nursing students' behavioral intention to use online courses: a questionnaire survey. , 2008, International journal of nursing studies.

[55]  Heeseok Lee,et al.  Exploring continued online service usage behavior: The roles of self-image congruity and regret , 2009, Comput. Hum. Behav..

[56]  Fred D. Davis,et al.  Extrinsic and Intrinsic Motivation to Use Computers in the Workplace1 , 1992 .

[57]  Tonči Mikac,et al.  Establishing an Institutional Framework for an E-learning Implementation--Experiences from the University of Rijeka, Croatia. , 2011 .

[58]  Tzyh-Lih Hsia,et al.  A study of student satisfaction in a blended e-learning system environment , 2010, Comput. Educ..

[59]  Hsiu-Ping Yueh,et al.  Designing a learning management system to support instruction , 2008, CACM.

[60]  Peter A. Todd,et al.  Perceived Usefulness, Ease of Use, and Usage of Information Technology: A Replication , 1992, MIS Q..

[61]  Scott B. MacKenzie,et al.  Common method biases in behavioral research: a critical review of the literature and recommended remedies. , 2003, The Journal of applied psychology.

[62]  Dong-Hee Shin,et al.  3DTV as a social platform for communication and interaction , 2012, Inf. Technol. People.

[63]  R. Sitgreaves.  Psychometric theory (2nd ed.). , 1979 .

[64]  Denise Jonas,et al.  The transition to blended e-learning. Changing the focus of educational delivery in children's pain management. , 2010, Nurse education in practice.

[65]  Jyh-Chong Liang,et al.  Nurses' Internet self-efficacy and attitudes toward web-based continuing learning. , 2011, Nurse education today.

[66]  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..

[67]  Dennis L. Hoffman,et al.  Marketing in Hypermedia Computer-Mediated Environments : Conceptual Foundations 1 ) , 1998 .

[68]  Johan Ismail,et al.  The design of an e-learning system: Beyond the hype , 2001, Internet High. Educ..

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

[70]  Øystein Sørebø,et al.  The role of self-determination theory in explaining teachers' motivation to continue to use e-learning technology , 2009, Comput. Educ..

[71]  Dympna Casey,et al.  Students' experiences of blended learning across a range of postgraduate programmes. , 2012, Nurse education today.

[72]  Tor J. Larsen,et al.  The role of task-technology fit as users' motivation to continue information system use , 2009, Comput. Hum. Behav..

[73]  R. Bagozzi,et al.  On the evaluation of structural equation models , 1988 .

[74]  Lan-Ying Huang,et al.  Predicting online game loyalty based on need gratification and experiential motives , 2011, Internet Res..

[75]  Naresh K. Malhotra,et al.  Common Method Variance in IS Research: A Comparison of Alternative Approaches and a Reanalysis of Past Research , 2006, Manag. Sci..

[76]  Thierry Volery,et al.  Critical success factors in online education , 2000 .

[77]  Kar Yan Tam,et al.  Understanding Continued Information Technology Usage Behavior: A Comparison of Three Models in the Context of Mobile Internet , 2006, Decis. Support Syst..

[78]  Ingoo Han,et al.  The impact of Web quality and playfulness on user acceptance of online retailing , 2007, Inf. Manag..

[79]  Jung Wan Lee.  Online support service quality, online learning acceptance, and student satisfaction , 2010, Internet High. Educ..

[80]  J. Webster,et al.  Teaching Effectiveness in Technology-Mediated Distance Learning , 1997 .