Cross-national differences in big data analytics adoption in the retail industry

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.     

创业投资政府引导基金政策扩散研究——基于全国31省数据的事件史分析

创业投资政府引导基金是解决初创企业融资难等市场失灵问题的典型政策工具，本文以2005-2015年全国31个省份数据为例，利用事件史方法分析我国省级创业投资政府引导基金政策的扩散机制。研究发现：创业投资引导基金政策的总体扩散过程主要受到纵向府际关系和政府创新易感性的影响；省级创业投资引导基金政策在时间维度上符合阶梯型累积分布曲线规律，其背后逻辑是不同时期政策创新扩散的动力源和阻力源不同，前期扩散的动力源主要是纵向府际关系和政府创新易感性，经济发展水平对政策扩散存在阻滞作用，而后期扩散的动力源主要是纵向府际关系，企业研发经费支出和省长的相关工作经历对政策扩散存在阻滞作用。本文不仅从公共政策视角加深了对中国创业投资引导基金政策的认识，也丰富和拓宽了已有公共政策扩散的相关成果。