The Influence of Cultural Factors on the Adoption of E-Learning: A Reference to a Public University in Sri Lanka

Thowfeek, Mohamed Hussain; Jaafar, Azizah

doi:10.4028/www.scientific.net/amm.263-266.3424

Cited by 3 publications

(3 citation statements)

References 31 publications

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“…For example, Zhao and Tan (2012) employed a motivational model by incorporating intrinsic motivator into the TAM and demonstrated the influence of culture on acceptance of the e-learning systems. Thowfeek and Jaafar (2012) built an e-learning adoption model with cultural factors and revealed a significant influence of cultural factors. In this regard, a systematic comparison among the research conducted in different regions and with different samples would be helpful in understanding e-learning adoption.…”

mentioning

confidence: 99%

Do cultural differences affect users’ e‐learning adoption? A meta‐analysis

Zhao¹,

Wang²,

Li³

et al. 2020

Brit J Educational Tech

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The great advantages of e‐learning have been recognized, and efforts have been made to promote e‐learning adoption. Despite valuable research achievements from technology adoption, previous studies built their models from different perspectives. In this study, to offer a comprehensive research model on e‐learning adoption, we integrated these models (ie, TAM, TPB and IDT) and included culture as a moderator. Based on 45 relevant empirical research, this study conducted a meta‐analysis to explore key determinants of users’ attitude and behavioral intention to adopt e‐learning. Combined with traditional technology acceptance theories and innovation diffusion theory, we developed a comprehensive model and explored the moderating role of culture. The results indicate that this integrated technology acceptance model can be applied to better understand e‐learning adoption. The moderator analysis shows that the influence of subjective norms and self‐efficacy on users’ behavior intention is more salient in the collectivistic culture, whereas perceived usefulness is more important for online learners in an individualistic culture.

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confidence: 99%

Do cultural differences affect users’ e‐learning adoption? A meta‐analysis

Zhao¹,

Wang²,

Li³

et al. 2020

Brit J Educational Tech

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“…The necessity to use innovative technology is determined by considering the different traditional, cultural, and social beliefs held by employees [139,140]. In culturally cohesive communities, different cultural and social aspects, and subsequent social capital, serve as determining factors that impact innovation and its use in organizations [141,142]. In this research, the sociocultural environment is significantly negative because the adoption of fog technology aims to enhance the overall performance of the organization's system rather than to change the whole ecosystem.…”

Section: Hypotheses Results Discussionmentioning

confidence: 99%

“…The necessity to use innovative technology becomes clear, given the different types of traditional, cultural, and social beliefs [139,140]. In culturally cohesive communities, different cultural and social aspects serve as the determining factors that impact innovation and its use in organizations [141,142]. Thus, such factors would affect innovation and decision-making that correlate to the implementation of fog technology within the organization.…”

Section: H11 Fog Technology Adoption Intent and Perceived Usefulness ...mentioning

confidence: 99%

An Evaluation of Key Adoption Factors towards Using the Fog Technology

Ali

Shrestha

Jaradat

et al. 2022

BDCC

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Fog technology is one of the recent improvements in cloud technology that is designed to reduce some of its drawbacks. Fog technology architecture is often widely distributed to minimize the time required for data processing and enable Internet of Things (IoT) innovations. The purpose of this paper is to evaluate the main factors that might influence the adoption of fog technology. This paper offers a combined framework that addresses fog technology adoption based on the technology adoption perspective, which has been comprehensively researched in the information systems discipline. The proposed integrated framework combines the technology acceptance model (TAM) and diffusion of innovation (DOI) theory to develop a holistic perspective on the adoption of fog technology. The factors that might affect the adoption of fog technology are analyzed from the results of an online survey in 43 different organizations across a wide range of industries. These factors are observed based on data collected from 216 participants, including professional IT staff and senior business executives. This analysis was conducted by using structural equation modeling (SEM). The research results identified nine factors with a statistically significant impact on the adoption of fog technology, and these factors included relative advantage, compatibility, awareness, cost-effectiveness, security, infrastructure, ease of use, usefulness, and location. The findings from this research offer insight to organizations looking to implement fog technology to enable IoT and tap into the digital transformation opportunities presented by this new digital economy.

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The Influence of Culture in the Adoption and Use of Mobile Applications in the Management of Non-communicable Disease

Jacobs-Basadien

Pather

2023

Communications in Computer and Information Science

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The Influence of Cultural Factors on the Adoption of E-Learning: A Reference to a Public University in Sri Lanka

Cited by 3 publications

References 31 publications

Do cultural differences affect users’ e‐learning adoption? A meta‐analysis

Do cultural differences affect users’ e‐learning adoption? A meta‐analysis

An Evaluation of Key Adoption Factors towards Using the Fog Technology

The Influence of Culture in the Adoption and Use of Mobile Applications in the Management of Non-communicable Disease

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