Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries

Al-Azawei, Ahmed; Alowayr, Ali

doi:10.1016/j.techsoc.2020.101325

Cited by 95 publications

(54 citation statements)

References 25 publications

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“…The Unified Theory of Acceptance and Use of Technology 2 (UTAUT2) was the theoretical framework used for the questionnaire. The indicators (questions) were developed based on previous studies (See Appendix A ) [ 9 , 11 , 12 , 20 , 23 , 24 ]. The 7-point Likert Scale was structured as follows: 1—Strongly Disagree, 2—Disagree, 3—Somewhat Disagree, 4—Neither Agree nor Disagree, 5—Somewhat Agree, 6—Agree, and 7—Strongly Agree UTAUT2.…”

Section: Methodsmentioning

confidence: 99%

Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

et al. 2021

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eLearning has been the medium of delivery of medical educational institutions to address the scarcity of medical professionals during the COVID-19 pandemic. In this study, the Unified Theory of Acceptance and Use of Technology (UTAUT2) was extended to determine the factors affecting the acceptance of eLearning platforms to medical education in the Philippines during the COVID-19 pandemic. A total of 360 medical students voluntary participated and answered an online questionnaire that consisted of 40 questions. Structural Equation Modeling (SEM) indicated that performance expectancy was found to have the highest effect on behavioral intention, which was followed by learning value and instructor characteristics. A high behavioral intention was found to affect the actual use of eLearning platforms. Interestingly, social influence and habit were found not to be significant to behavioral intentions. This study is the first study that has explored the acceptance of eLearning platforms among medical students in the Philippines during the COVID-19 pandemic. The findings can be a theoretical guideline of the Commission on Higher Education of the Philippines for eLearning platforms. Finally, the framework would be very valuable for enhancing the open innovation in eLearning platforms in medical fields worldwide.

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Section: Methodsmentioning

confidence: 99%

Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

et al. 2021

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“…Only a few investigations have examined self-efficacy [ 103 ], perceived competences [ 27 , 104 ], and e-learning contexts [ 105 ] as predictors of continuance intention to use online learning or self-efficacy as a predictor of exhaustion [ 106 ]. In addition, the literature on the behavioral intention to use virtual technologies focuses mainly on perceived satisfaction [ 13 , 107 , 108 ], motivation [ 109 ], the effectiveness of e-learning, engagement and learning outcomes [ 110 ], while ignoring negative emotions (e.g., exhaustion, technostress).…”

Section: Theoretical Framework and Hypothesismentioning

confidence: 99%

Motivation and Continuance Intention towards Online Instruction among Teachers during the COVID-19 Pandemic: The Mediating Effect of Burnout and Technostress

Pânişoară

Lazar

Pânişoară

et al. 2020

IJERPH

165

131

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In-service teachers have various emotional and motivational experiences that can influence their continuance intention towards online-only instruction during the COVID-19 pandemic, as a significant stress factor for their workplace. Derived from the Self-Determination Theory (SDT), Job Demands–Resources Model (JD–R), and Technology Acceptance Model (TAM), the present research model includes technological pedagogical knowledge (TPK) self-efficacy (SE), intrinsic (IM) and extrinsic (EM) work motivation, and occupational stress (OS) (i.e., burnout and technostress which have been examined in tandem) as key dimensions to explain the better continuance intention among in-service teachers to use online-only instruction (CI). Data for the research model were collected from 980 in-service teachers during the COVID-19 outbreak between April and May 2020. Overall, the structural model explained 70% of the variance in teachers’ CI. Motivational practices were directly and indirectly linked through OS with CI. The findings showed that IM has the most directly significant effect on teachers’ CI, followed by TPK-SE, and OS as significant, but lower predictors. IM was positively associated with TPK-SE and negatively associated with EM. The results offered valuable insights into how motivation constructs were related to OS and to a better understanding online instruction in an unstable work context, in order to support teachers in coping during working remotely.

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“…Effort expectancy is the degree of ease associated with the use of such a system [41]. It is suggested as a direct predictor of attitudes toward use [4]. According to Samsudeen and Mohamed [7], effort expectancy was the most influential determinant of behavioral intention to use e-learning system.…”

Section: Utaut2mentioning

confidence: 99%

“…Many people are aware that information and communications technology (ICT) plays an important role in the higher education context [1][2][3][4][5][6][7][8][9][10][11][12][13]. Those who were not, had a chance to convince themselves in 2020.…”

Section: Introductionmentioning

confidence: 99%

Adopting xRM in Higher Education: E-Services Outside the Classroom

Malešević¹,

Barać

Soleša

et al. 2021

Sustainability

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This paper explores the role of extended relationship management (xRM) in the higher education ecosystem. With the ultimate goal of the institution’s future sustainable development, the university has developed and implemented a customized model of integrated e-services to foster a relationship with its leading stakeholder group—students. Furthermore, our study introduces a comprehensive model of xRM e-services. The main objective of this paper was to assess students’ behavioral intentions, acceptance, and long-term usage of the xRM e-services. A theoretical model was developed based on the UTAUT2 framework. The evaluation of the acceptance and usage of the xRM e-services was assessed by using a partial least squares structural equation modelling (PLS-SEM) methodology. The results indicate that factors such as habit and effort expectancy have a significant relationship with students’ behavioral intentions, while there is a strong positive influence of their intentions on actual use of the xRM e-services. The emergence of habit as the strongest predictor of behavioral intention indicates that the digitization of traditional touch-points has become an important part of students’ everyday lives at university.

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Predicting the intention to use and hedonic motivation for mobile learning: A comparative study in two Middle Eastern countries

Cited by 95 publications

References 25 publications

Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

Determining Factors Affecting the Acceptance of Medical Education eLearning Platforms during the COVID-19 Pandemic in the Philippines: UTAUT2 Approach

Motivation and Continuance Intention towards Online Instruction among Teachers during the COVID-19 Pandemic: The Mediating Effect of Burnout and Technostress

Adopting xRM in Higher Education: E-Services Outside the Classroom

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