Cross-national differences in big data analytics adoption in the retail industry |
| |
Affiliation: | 1. Department of Information Systems, Faculty of Computer Science & Information Technology, University of Malaya, 50603 Kuala Lumpur, Malaysia;2. Department of Mechanical Engineering, Faculty of Engineering, University of Malaya, 50603 Kuala Lumpur, Malaysia;3. Faculty of Computing, Universiti Teknologi Malaysia, 81310 Skudai, Johor, Malaysia;4. Department of International Business and Asian Studies, Griffith Business School, Gold Coast, Queensland, Australia;5. Young Researchers and Elite Club, Yasooj Branch, Islamic Azad University, Yasooj, Iran |
| |
Abstract: | Big data analytics (BDA) has emerged as a significant area of research for both researchers and practitioners in the retail industry, indicating the importance and influence of solving data-related problems in contemporary business organization. The present study utilised a quantitative-methods approach to investigate factors affecting retailers' adoption of BDA across three countries. A survey questionnaire was used to collect data from managers and decision-makers in the retail industry. Data of 2278 respondents were analysed through structural equation modelling. The findings revealed that security concerns, external support, top management support, and rational decision making culture have a greater effect on BDA adoption in developed countries UK than in UAE and Egypt. However, competition intensity and firm size have a greater effect on BDA adoption in UAE and Egypt than in UK. Finally, human variables (competence of information system's staff and staff's information system knowledge) have a greater effect on BDA adoption in Egypt than UK and UAE. The findings indicate that a “one-size-fits-all” approach is insufficient in capturing the heterogeneity of managers across countries. Implications for practice and theory were demonstrated. |
| |
Keywords: | Big data analytics Technology adoption Diffusion of innovations model Cross-national differences Retail industry |
本文献已被 ScienceDirect 等数据库收录! |
|