Task-technology Fit Aware Expectation-confirmation Model towards Understanding of MOOCs Continued Usage Intention

Abstract

Massive Open Online Courses (MOOCs)

Examining continuance intention in business schools with digital classroom methods during COVID-19: a comparative study of India and Italy

“…Similarly, smartphone users have grown considerably from 2.5 billion (33.7% of the worldwide population) in 2016 to more than 3.5 billion (45% of the global population) in 2020 (Statistica 2020a). This growing penetration of smartphones, as well as internet and communication technologies has led to the emergence of e-learning as a new business phenomenon over the years in the twenty-first century (Chow and Shi 2014;Al-Emran, Arpaci, and Salloum 2020;Huang 2019;Lee 2010;Ouyang et al 2017).…”

“…An extension of distance education, e-learning has undergone a lot of changes in line with advances in internet and communication technologies during the twenty-first century. Over the last few years, despite the rapidly growing numbers of e-learning customers (students and working professionals) and providers across all levels of education (primary, secondary, and higher), an increasing number of researchers have looked at the wide variation between initial acceptance and continuance intention among students (Lee 2010;Ouyang et al 2017;Tam, Santos, and Oliveira 2020). Despite a substantial amount of literature on e-learning acceptance and continuance intention, there is a dearth of research that has studied the e-learning phenomenon in a pandemic situation like COVID-19.…”

“…Though many researchers agree that smartphones and information technology have revolutionised the learning process, the impact of a technology-based virtual learning system has been found to be minimal (Chow and Shi 2014;Lee 2010;Ouyang et al 2017;Rai and Selnes 2019). The point of the argument is that, although there is an increasing level of initial acceptance for e-learning courses and specialisations among students, the completion percentage for e-learning courses is meagre.…”

“…The adoption rate of e-learning programs is and will remain a necessary criterion in assessing the role of technology in transforming the education ecosystem. However, the actual success or impact of an e-learning ecosystem depends upon the learner's continuance intention and whether they complete the e-learning course (Al-Emran, Arpaci, and Salloum 2020; Chow and Shi 2014;Ouyang et al 2017). Researchers have claimed that the use of technology in learning increases the likelihood of student distraction and, consequently, disengagement (Heflin, Shewmaker, and Nguyen 2017).…”

Mediating Effect of Idealized Influence Between Relationship Emotional Intelligence and Intention to Perform: Conceptual Study

“…Intention to quit among academic staff in public universities (Khairunneezam, 2011). In addition, another study is based on the usage of technology and culture towards intention to use (Ouyang, Tang, & Rong, 2017). Further studies were conducted such as conflict relationship and job burnout, Shaukat, Yousaf and Sanders (2017); empowerment, Kim and Fernandez (2017); transformational leadership, Ariyabuddhiphongs and Kahn (2017); job and job support, Knapp and Smith (2017) and all these are towards turnover intention.…”