Untangling the cumulative impact of big data analytics, green lean six sigma and sustainable supply chain management on the economic performance of manufacturing organisations
研究了大数据分析、绿色精益六西格玛和可持续供应链管理如何共同影响制造企业的经济绩效，基于巴基斯坦中小企业的443份问卷数据，发现前两者部分中介了大数据分析对经济绩效的作用。
Big data analytics provides up-to-date information to facilitate organisational decision-making and boost economic performance. However, an organisation’s big data analytical capability must be investigated to determine its importance in driving economic performance through continuous improvement and sustainability-related tools such as green lean six sigma and sustainable supply chain management. We conducted an empirical study and obtained 443 effective responses from managerial staff working in small and medium-sized organisations in Pakistan. Using structural equation modelling and artificial neural networks, we investigate the effects of big data analytics, green lean six sigma and sustainable supply chain management on economic performance. Our result shows that green lean six sigma and sustainable supply chain management partially mediate the relationship between big data analytics and economic performance. Although the implementation of sustainable supply chain management is identified, it is supported by technological but not cultural compatibility in the current operating environments of the organisations. As a theoretical contribution, this study enriches the literature on digitisation by relating it to the dynamic capability theory. As per practical contribution, this study reveals that the amalgamation of big data analytics, green lean six sigma, and sustainable supply chain management strengthen the organisation’s economic performance.