Direct or indirect effects from “perceived characteristic of innovation” to “intention to pay”: mediation of continuance intention to use e-learning

[1]  C. Karytsas,et al.  Factors affecting willingness to adopt and willingness to pay for a residential hybrid system that provides heating/cooling and domestic hot water , 2019, Renewable Energy.

[2]  Silas Formunyuy Verkijika,et al.  Understanding the Acceptance and Use of M-Learning Apps by Entrepreneurs: An Application of the Social-Cognitive and Motivational Theories , 2019, Inf. Resour. Manag. J..

[3]  Birgul Kutlu,et al.  Examination of students' acceptance of and intention to use learning management systems using extended TAM , 2019, Br. J. Educ. Technol..

[4]  E. Marandu,et al.  Predicting Students’ Intention and Actual Use of E-Learning Using the Technology Acceptance Model: A Case from Zimbabwe , 2019, International Journal of Learning, Teaching and Educational Research.

[5]  Timothy Teo,et al.  Unpacking teachers’ intentions to integrate technology: A meta-analysis , 2019, Educational Research Review.

[6]  Noraffandy Yahaya,et al.  Integrating Technology Acceptance Model With Innovation Diffusion Theory: An Empirical Investigation on Students’ Intention to Use E-Learning Systems , 2019, IEEE Access.

[7]  Nikolaos K. Tselios,et al.  Extension of technology acceptance model by using system usability scale to assess behavioral intention to use e-learning , 2017, Education and Information Technologies.

[8]  Ronny Scherer,et al.  The technology acceptance model (TAM): A meta-analytic structural equation modeling approach to explaining teachers' adoption of digital technology in education , 2019, Comput. Educ..

[9]  Rajesh Sannegadu,et al.  Investigating the Factors Influencing Students' Intention to Adopt E-Learning in a Small Island Developing State (SIDS) Economy: Evidence from Mauritius , 2018, Studies in Business and Economics.

[10]  H. Chang,et al.  Willingness to adopt or reuse an e-learning system: The perspectives of self-determination and perceived characteristics of innovation , 2017 .

[11]  Flavia Cavazotte,et al.  Explaining university students' effective use of e-learning platforms , 2017, Br. J. Educ. Technol..

[12]  A. Hayes.  Introduction to Mediation, Moderation, and Conditional Process Analysis: A Regression-Based Approach , 2013 .

[13]  Chiao-Chen Chang,et al.  Exploring the determinants of e‐learning systems continuance intention in academic libraries , 2013 .

[14]  Rasmus Kleis Nielsen,et al.  The Story So Far: what we know about the business of digital journalism , 2013 .

[15]  Zetian Fu,et al.  An empirical study on behavioural intention to reuse e-learning systems in rural China , 2012, Br. J. Educ. Technol..

[16]  Cher Ping Lim,et al.  Learning Sciences Research in Asia Pacific Countries from 1997 to 2010: A Content Analysis of Publications in Selected Journals , 2012 .

[17]  Yi-Chuan Hsieh,et al.  Adding Innovation Diffusion Theory to the Technology Acceptance Model: Supporting Employees' Intentions to use E-Learning Systems , 2011, J. Educ. Technol. Soc..

[18]  Hei-Chia Wang,et al.  Assessing e-learning 2.0 system success , 2011, Comput. Educ..

[19]  Bill Grueskin,et al.  The Story So Far: What We Know About the Business of Digital Journalism , 2011 .

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

[21]  Marko Sarstedt,et al.  PLS-SEM: Indeed a Silver Bullet , 2011 .

[22]  Hsiu-Ju Chen,et al.  Linking employees' e-learning system use to their overall job outcomes: An empirical study based on the IS success model , 2010, Comput. Educ..

[23]  Hsi-Peng Lu,et al.  The influence of extro/introversion on the intention to pay for social networking sites , 2010, Inf. Manag..

[24]  Wynne W. Chin,et al.  Handbook of Partial Least Squares , 2010 .

[25]  Ching-Fu Chen,et al.  Experience quality, perceived value, satisfaction and behavioral intentions for heritage tourists , 2010 .

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

[27]  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..

[28]  Thurasamy Ramayah,et al.  The role of quality factors in intention to continue using an e-learning system in Malaysia , 2010 .

[29]  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..

[30]  Sung Youl Park,et al.  An Analysis of the Technology Acceptance Model in Understanding University Students' Behavioral Intention to Use e-Learning , 2009, J. Educ. Technol. Soc..

[31]  Wei-Jaw Deng,et al.  The relationships among service quality, perceived value, customer satisfaction, and post-purchase intention in mobile value-added services , 2009, Comput. Hum. Behav..

[32]  Hsi-Peng Lu,et al.  The role of experience and innovation characteristics in the adoption and continued use of e-learning websites , 2008, Comput. Educ..

[33]  Lianxi Zhou,et al.  Exploring the influence of product conspicuousness and social compliance on purchasing motives of young Chinese consumers for foreign brands , 2008 .

[34]  Gregory J. Brush,et al.  Comparing the Perceived Value of Information and Entertainment Mobile Services , 2008 .

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

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

[37]  Su-Chao Chang,et al.  An empirical investigation of students' behavioural intentions to use the online learning course websites , 2007, Br. J. Educ. Technol..

[38]  Susan Greener,et al.  Business Research Methods , 2008 .

[39]  Hung-Pin Shih,et al.  Using a cognition-motivation-control view to assess the adoption intention for Web-based learning , 2008, Comput. Educ..

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

[41]  Yi-Shun Wang,et al.  Measuring e-learning systems success in an organizational context: Scale development and validation , 2007, Comput. Hum. Behav..

[42]  Sumeet Gupta,et al.  Value-based Adoption of Mobile Internet: An empirical investigation , 2007, Decis. Support Syst..

[43]  Nick Bontis,et al.  User acceptance of wireless short messaging services: Deconstructing perceived value , 2007, Inf. Manag..

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

[45]  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..

[46]  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.

[47]  Ying-Tien Wu,et al.  University Students' Internet Attitudes and Internet Self-Efficacy: AStudy at Three Universities in Taiwan , 2006, Cyberpsychology Behav. Soc. Netw..

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

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

[50]  A. Herrmann,et al.  The Evolution of Loyalty Intentions , 2006 .

[51]  Chin-Chung Tsai,et al.  University students' self‐efficacy and their attitudes toward the Internet: the role of students' perceptions of the Internet , 2006 .

[52]  Ming-Chang Lee,et al.  RELATIONSHIPS AMONG SERVICE QUALITY, CUSTOMER SATISFACTION AND PROFITABILITY IN THE TAIWANESE BANKING INDUSTRY , 2005 .

[53]  Albert Bandura,et al.  The Primacy of Self-Regulation in Health Promotion , 2005 .

[54]  Yongqiang Qiu,et al.  Multimodal communication and articulation in e-learning , 2005, The 3rd ACS/IEEE International Conference onComputer Systems and Applications, 2005..

[55]  France Bélanger,et al.  Factors influencing the adoption of web-based shopping: the impact of trust , 2004, DATB.

[56]  Abhijit Chaudhury,et al.  An empirical investigation of decision-making satisfaction in web-based decision support systems , 2004, Decis. Support Syst..

[57]  Keith Smyth,et al.  Expected and Actual Student Use of an Online Learning Environment: A Critical Analysis. , 2004 .

[58]  Rodney Carr,et al.  Customer repurchase intention: A general structural equation model , 2003 .

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

[60]  Jillian Dawes Farquhar,et al.  Contact management and customer loyalty , 2003 .

[61]  Judy K. Frels,et al.  Consumer switching costs: A typology, antecedents, and consequences , 2003 .

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

[63]  J. Arbaugh,et al.  Technological and Structural Characteristics, Student Learning and Satisfaction with Web-Based Courses , 2002 .

[64]  A. Hamid.  e-Learning: Is it the "e" or the learning that matters? , 2001, Internet High. Educ..

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

[66]  G. Soutar,et al.  Retail service quality and perceived value: A comparison of two models , 1997 .

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

[68]  William B. Dodds,et al.  Effects of Price, Brand, and Store Information on Buyers’ Product Evaluations , 1991 .

[69]  V. Zeithaml.  Consumer Perceptions of Price, Quality, and Value: A Means-End Model and Synthesis of Evidence , 1988 .

[70]  Robert F. Testa,et al.  Educational Research: Competencies for Analysis and Application , 1979 .

[71]  A. Tversky.  Utility theory and additivity analysis of risky choices. , 1967, Journal of experimental psychology.

[72]  Creating a Hybrid College Course : Instructional Design Notes and Recommendations for Beginners , 2022 .