Md. Nahin Hossain, Md. Yahin Hossain, Yukun Bao, Nilesh Kumar and Md. Rakibul Hoque
The purpose of this study is to understand the mediating role of psychological need and immersive experience on graduates' skill gaps on massive open online courses (MOOCs…
Abstract
Purpose
The purpose of this study is to understand the mediating role of psychological need and immersive experience on graduates' skill gaps on massive open online courses (MOOCs) adoption intention.
Design/methodology/approach
The proposed research model is developed by combining two popular theoretical models, namely, the self-determination theory, network externalities theory along technology adoption theory. Data are collected from 318 respondents to test the model. Structural equation modeling (SEM) is applied to analyze the data.
Findings
The study reveals that the sense of psychological needs and immersive experience mediates the influence of skill gap and social interaction on MOOC adaption willingness. However, immersive experience alone cannot influence adoption intention. Similarly, psychological needs cannot have a significant impact on adoption intention without the graduate skill gap.
Originality/value
This study specifically focuses on investigating the mechanism of how psychological needs satisfaction mediates the relationship between graduates' skill gap and MOOC adoption intention. The findings suggest us to develop a course that will increase learners employability skill. This study also contributes by incorporating the idea of immersive experience to facilitate improved virtual social interaction.
Details
Keywords
Abul Khayer, Nusrat Jahan, Md. Nahin Hossain and Md. Yahin Hossain
The purpose of this paper is to examine the determinants of cloud computing adoption in small and medium enterprises (SMEs), further, to measure the effect of cloud computing…
Abstract
Purpose
The purpose of this paper is to examine the determinants of cloud computing adoption in small and medium enterprises (SMEs), further, to measure the effect of cloud computing adoption on cloud-supported firm performance through enhancing organisational agility.
Design/methodology/approach
The research model is developed by combining two popular theoretical models, namely, the unified theory of acceptance and use of technology (UTAUT) and the technology–organisation–environment (TOE) framework. Data are collected from 372 SMEs to test the model. The strengths of widely used structural equation modelling (SEM) are applied to analyse the data.
Findings
This study reveals that the significant predictors of cloud computing adoption are performance expectancy; effort expectancy; absorptive capacity; data security and privacy; and perceived trust. Also, cloud computing adoption positively influences firm performance directly and through organisational agility. The results of importance–performance map analysis indicate that effort expectancy falls in the critical zone, which needs to be improved.
Originality/value
This research is one of few that blends the strengths of UTAUT and TOE framework. The research outcomes yield noteworthy suggestions to cloud providers, managers and government policymakers on ways of motivating the spread of cloud computing in developing countries.