Exploring the Determinants of Service Quality of Cloud E-Learning System for Active System Usage

E-Learning through a cloud-based learning management system, with its various added advantageous features, is a widely used pedagogy at educational institutions in general and more particularly during and post Covid-19 period Successful adoption and implementation of cloud ELearning seems difficult without significant service quality Aims: This study aims to identify the determinant of cloud E-Learning service quality Methodology: A theoretical model was proposed to gauge the cloud E-Learning service quality by extensive literature search The most important factors for cloud E-Learning service quality were screened Instruments for each factor were defined properly, and its content validity was checked with the help of Group Decision Makers (GDMs) Empirical testing was used to validate the proposed theoretical model, the self-structured closedended questionnaire was used to conduct an online survey Findings: Internal consistency of the proposed model was checked with reliability and composite reliability and found appropriate α ≥ 0 70 and CR ≥ 0 70 Indicator Reliability was matched with the help of Outer Loading and found deemed fit OL ≥ 0 70 To establish Convergent Validity Average Variance Extracted, Factor Loading and Composite Reliability were used and found deemed suitable with AVE ≥ 0 50 The HTMT and Fornell–Lacker tests were applied to assess discriminant validity and found appropriate (HTMT ≤ 0 85) Finally, the Variance Inflation Factor was used to detect multicollinearity if any and found internal and external VIF < 3 Conclusions: Theoretical model for cloud E-Learning service quality was proposed Information Quality, Reliability, Perceived ease of use and Social Influence were considered as explanatory variables whereas actual system usage was the dependent variable Empirical testing on all parameters stated that the proposed model was deemed fit in evaluating cloud E-Learning service quality © 2021 by the authors Licensee MDPI, Basel, Switzerland

[1]  M. Sarstedt,et al.  A new criterion for assessing discriminant validity in variance-based structural equation modeling , 2015 .

[2]  Kianoush Nazari Ameleh,et al.  Analyzing effects of service encounter quality on customer satisfaction in banking industry , 2012 .

[3]  F. Dařena,et al.  Technological Development and Its Effect on IT Operations Cost and Environmental Impact , 2021 .

[4]  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..

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

[6]  Srđan Jović,et al.  Survey of quality models of e-learning systems , 2018, Physica A: Statistical Mechanics and its Applications.

[7]  Birgul Kutlu,et al.  Perceptions about and attitude toward the usage of e-learning in corporate training , 2017, Comput. Hum. Behav..

[8]  Mohammed A. Al-Sharafi,et al.  Developing an Instrument for Cloud-Based E-Learning Adoption: Higher Education Institutions Perspective , 2020 .

[9]  Sebastian Kot,et al.  The role of social media in management of relational capital in universities , 2016 .

[10]  Richard L. Gorsuch Exploratory Factor Analysis , 1988 .

[11]  Stephen R. Gulliver,et al.  Factors determining e-learning service quality , 2018, Br. J. Educ. Technol..

[12]  Ismi Rajiani,et al.  MANAGING E-LEARNING IN PUBLIC UNIVERSITIES BY INVESTIGATING THE ROLE OF CULTURE , 2019, Polish Journal of Management Studies.

[13]  Stephen R. Gulliver,et al.  A conceptual framework highlighting e-learning implementation barriers , 2018, Inf. Technol. People.

[14]  Katarzyna Szczepańska-Woszczyna,et al.  Competences of Graduates of Higher Education Business Studies in Labor Market I (Results of Pilot Cross-Border Research Project in Poland and Slovakia) , 2019, Sustainability.

[15]  C. Fornell,et al.  Evaluating Structural Equation Models with Unobservable Variables and Measurement Error , 1981 .

[16]  Tiago Oliveira,et al.  E-learning success determinants: Brazilian empirical study , 2018, Comput. Educ..

[17]  Naim Ahmad,et al.  Critical Success Factors (CSFs) for Cloud-based E-Learning , 2019, Int. J. Emerg. Technol. Learn..

[18]  Sabyasachi Pattnaik,et al.  Integration of Web Services with E-Learning for Knowledge Society , 2016 .

[19]  Duncan David Nulty,et al.  The adequacy of response rates to online and paper surveys: what can be done? , 2008 .

[20]  Fahrul Agus,et al.  User Satisfaction Model for e-Learning Using Smartphone , 2017, ICCSCI.

[21]  J. Bravo,et al.  Service quality perceptions in higher education institutions: the case of a colombian university , 2012 .

[22]  Alhuseen Omar Alsayed,et al.  Evaluating and Ranking Cloud-Based E-Learning Critical Success Factors (CSFs) Using Combinatorial Approach , 2019, IEEE Access.

[23]  Jane Sinclair,et al.  Evaluating E-learning systems success: An empirical study , 2020, Comput. Hum. Behav..

[24]  Quadri Noorulhasan Naveed,et al.  E-Learning Services to Achieve Sustainable Learning and Academic Performance: An Empirical Study , 2021 .

[25]  Asadullah Shah,et al.  Evaluating critical success factors in implementing E-learning system using multi-criteria decision-making , 2020, PloS one.

[26]  Ronald T. Cenfetelli,et al.  Interpretation of Formative Measurement in Information Systems Research , 2009, MIS Q..

[27]  Alireza Hassanzadeh,et al.  A model for measuring e-learning systems success in universities , 2012, Expert Syst. Appl..

[28]  Hsin-Yu Lin,et al.  A hybrid approach to develop an analytical model for enhancing the service quality of e-learning , 2012, Comput. Educ..

[29]  Elijah Omwenga,et al.  A Model for Evaluating E-Learning Systems Quality in Higher Education in Developing Countries , 2017 .

[30]  Richard V. McCarthy,et al.  An Empirical Investigation of Knowledge Management Systems' Success , 2008, J. Comput. Inf. Syst..

[31]  Maryam Asoodar,et al.  Framework to improve e-learner satisfaction and further strengthen e-learning implementation , 2016, Comput. Hum. Behav..

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

[33]  Somya Agrawal,et al.  A Survey on Recent Applications of Cloud Computing in Education: COVID-19 Perspective , 2021 .

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

[35]  Gheorghe Grigoraş,et al.  Assessment Criteria of E-learning Environments Quality , 2014 .

[36]  Kallol Kumar Bagchi,et al.  Using SERVQUAL to assess the quality of e-learning experience , 2011, Comput. Hum. Behav..

[37]  Kianoush Nazari Ameleh,et al.  Analyzing e-service quality in service-based website by E-SERVQUAL , 2012 .

[38]  Asadullah Shah,et al.  A Mixed Method Study for Investigating Critical Success Factors (CSFs) of E-Learning in Saudi Arabian Universities , 2017 .

[39]  A. Parasuraman,et al.  SERVQUAL: A multiple-item scale for measuring consumer perceptions of service quality. , 1988 .

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

[41]  Z. A. Shaikh,et al.  Applied Model of E-Learning in the Framework of Education for Sustainable Development , 2020 .

[42]  Mohammad Khasawneh,et al.  Factors Influence e-Learning Utilization in Jordanian Universities - Academic Staff Perspectives☆ , 2015 .