Identification of operational risks impeding the implementation of eLearning in higher education system

Higher education institutions are in a consistent pursuit of technological adoption through digital transformation techniques since the beginning of the technology revolution. The transformation from traditional to eLearning education system faces the challenges of Information and Communication Technologies (ICT) and operational risks. The operational risks in ICT mainly prevent the efficient utilization of eLearning systems. In the higher education system, faculty experience in eLearning, resistance to change, and quality of the Learning Management System (LMS) are the core sources of operational risks. This study endeavors to measure the impact of operational risks in eLearning implementation in higher education institutions. We employed a quantitative research design through a self-administered survey questionnaire and used the Partial Least Square approach of Structural Equation Modeling (PLS-SEM) to analyze the data. The findings indicated that eLearning implementation is positively influenced by faculty experience in eLearning and LMS quality. However, faculty resistance is not only negatively related to eLearning implementation, but it inversely influences the LMS quality as well. The study has important practical and theoretical implications discussed in the end.

[1]  Betty Blackmon Social Work and Online Education with All Deliberate Speed , 2013, Journal of evidence-based social work.

[2]  Gurmak Singh,et al.  Implementing eLearning Programmes for Higher Education: A Review of the Literature , 2004, J. Inf. Technol. Educ..

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

[4]  Rudolf R. Sinkovics,et al.  The Use of Partial Least Squares Path Modeling in International Marketing , 2009 .

[5]  Alaa M. Momani,et al.  The Evolution of Technology Acceptance Theories , 2017 .

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

[7]  James Jaccard,et al.  Predicting and understanding family planning behaviors , 1980 .

[8]  Fatiha Bousbahi,et al.  Investigating IT Faculty Resistance to Learning Management System Adoption Using Latent Variables in an Acceptance Technology Model , 2015, TheScientificWorldJournal.

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

[10]  Barbara Son,et al.  Using Mobile Learning to Enhance Integrated Multimedia Learning at DeVry Online , 2014 .

[11]  Mingxin Li Using the Websites in Interactive-Based English Language Learning , 2014 .

[12]  Alex Koohang,et al.  Open Source: A Metaphor for E-Learning , 2005, Informing Sci. Int. J. an Emerg. Transdiscipl..

[13]  Seiji Isotani,et al.  Educational Data Mining: A review of evaluation process in the e-learning , 2018, Telematics Informatics.

[14]  Sarah Golden Impact of e-learning in further education: survey of scale and breadth , 2006 .

[15]  Jorge Gaytan Comparing Faculty and Student Perceptions Regarding Factors That Affect Student Retention in Online Education , 2015 .

[16]  Florin Ioras,et al.  CYBER SECURITY CONCERNS IN E-LEARNING EDUCATION , 2014 .

[17]  A. K. Mousa,et al.  Comment on “On Soft β-Open Sets and Soft β-Continuous Functions” , 2015, TheScientificWorldJournal.

[18]  Mohd Shahizan Othman,et al.  A model of factors affecting learning performance through the use of social media in Malaysian higher education , 2018, Comput. Educ..

[19]  Yeshika Alversia,et al.  Doing quantitative research in education with SPSS , 2011 .

[20]  Tina Benevides,et al.  E-Learning in the 21st Century: A Framework for Research and Practice , 2011 .

[21]  A. Abouammoh The Regeneration Aspects for Higher Education Research in the Kingdom of Saudi Arabia , 2018 .

[22]  Faisal M. Almutairi,et al.  The Effectiveness of Flipped Learning: A Quasi-Experimental Study of the Perceptions of Kuwaiti Pre-Service Teachers , 2018, International Education Studies.

[23]  H. Coates,et al.  A Critical Examination Of The Effects Of Learning Management Systems On University Teaching And Learning , 2005 .

[24]  The Time-Variation of Risk and Return in the Foreign Exchange and Stock Markets , 1988 .

[25]  Jennifer T. Adams,et al.  Internal loss data collection implementation: evidence from a large UK financial institution , 2011 .

[26]  Susan A. Brown Seeing Web 2.0 in context: A study of academic perceptions , 2012, Internet High. Educ..

[27]  S. Noesgaard,et al.  The effectiveness of e-learning: An explorative and integrative review of the definitions, methodologies and factors that promote e-Learning effectiveness , 2015 .

[28]  原 勝子 Quantitative and Qualitative Research Approaches in Education , 1995 .

[29]  Terry Ryan,et al.  The Role of Social Presence and Moderating Role of Computer Self-Efficacy in Predicting the Continuance Usage of E-Learning Systems , 2004, J. Inf. Syst. Educ..

[30]  Marc Humbert,et al.  ADOPTION OF BLENDED LEARNING BY FACULTY , 2007 .

[31]  Charles D. Barrett Understanding Attitudes and Predicting Social Behavior , 1980 .

[32]  P. Wild,et al.  Education and information technologies , 1997 .

[33]  Marko Sarstedt,et al.  Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research , 2014 .

[34]  R. Omar,et al.  Family firms’ sustainable longevity: the role of family involvement in business and innovation capability , 2020 .

[35]  Jo Smedley,et al.  Modelling the impact of knowledge management using technology , 2010, OR Insight.

[36]  Christopher B. Field,et al.  Managed retreat as a response to natural hazard risk , 2017 .

[37]  Daniel Muijs,et al.  Doing Quantitative Research in Education with SPSS , 2004 .

[38]  Radhika M. Pai,et al.  Rule based adaptive user interface for adaptive E-learning system , 2018, Education and Information Technologies.

[39]  Dag Henrik Bergsjö,et al.  Knowledge reuse in industrial practice: evaluation from implementing engineering checksheets in industry , 2019, Design Science.

[40]  Elizabeth A Farmer,et al.  Faculty development for problem-based learning. , 2004, European journal of dental education : official journal of the Association for Dental Education in Europe.

[41]  Neila Rjaibi,et al.  Cyber Security Measurement in Depth for E-learning Systems , 2012 .

[42]  Russell Boyatt,et al.  Exploring factors that influence adoption of e-learning within higher education , 2015, Br. J. Educ. Technol..

[43]  K. Kallenberg The Role of Risk in Corporate Value: A Case Study of the ABB Asbestos Litigation , 2007 .

[44]  Sathima Patomviriyavong,et al.  eLearning Operational Risk Assessment and Management: A Case Study of the M.Sc. in Management Program , 2006 .

[45]  Najwa Hayaati Mohd Alwi,et al.  E-Learning and Information Security Management , 2010 .

[46]  Ian Sommerville,et al.  The Cloud Adoption Toolkit: supporting cloud adoption decisions in the enterprise , 2010, Softw. Pract. Exp..

[47]  Florin D. Salajan,et al.  The Evolution of U.S. e-Learning Policy , 2016 .

[48]  Philippe Jorion Bank Trading Risk and Systemic Risk , 2005 .

[49]  Toru Ishida,et al.  Open Smart Classroom: Extensible and Scalable Learning System in Smart Space Using Web Service Technology , 2009, IEEE Transactions on Knowledge and Data Engineering.

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

[51]  J. Mezirow Transformative Dimensions of Adult Learning , 1991 .

[52]  Autonomy and Foreign Language Learning in a Virtual Learning Environment , 2016 .

[53]  Sarah Guri-Rosenblit,et al.  ‘Distance education’ and ‘e-learning’: Not the same thing , 2005 .

[54]  Ahmad Almogren,et al.  Increasing the Trustworthiness in the Industrial IoT Networks Through a Reliable Cyberattack Detection Model , 2020, IEEE Transactions on Industrial Informatics.

[55]  Khaled Shaalan,et al.  Factors affecting the E-learning acceptance: A case study from UAE , 2018, Education and Information Technologies.

[56]  A. Al-Asmari,et al.  E-learning in Saudi Arabia: Past, present and future , 2014 .

[57]  Peter Waiganjo,et al.  Using Machine Learning Techniques to Support Group Formation in an Online Collaborative Learning Environment , 2017 .

[58]  D. Ketchen A Primer on Partial Least Squares Structural Equation Modeling , 2013 .

[59]  Christian Wagner Teaching Tip: Teaching Information Systems Management via Action Memos , 2004, J. Inf. Syst. Educ..