Big Data Analytic Capabilities Playing a Critical Role in Sustainability performance of Supply Chain at Australian Organisations

Publication Type:
Thesis
Issue Date:
2022
Full metadata record
Climate change is undoubtedly one of the key challenges facing sustainability for contemporary business and society. Therefore, sustainable supply chain performance has received rising interest due to climate change. With the accelerated advancement of information technology, especially big data analytics (BDA), academics’ and practitioners' concerns focus on embracing BDA to address sustainability issues and improve sustainability performance. However, there is a limited managerial and academic understanding as to how organisations can harvest the maximum benefit from BDA to respond to supply chain sustainability issues by adopting and reconfiguring appropriate BDA human and non-human capabilities. Additionally, empirical studies of the relationship between BDACs and SSCP have hardly been conducted. The main goal of this study is to provide empirical evidence concerning the influence of BDACs on SSCP and obtain insights regarding its impacts, As a result, we adopted two research strategies. Firstly, to set the foundations for BDACs and SSCP, we carried out a systemic literary review. Secondly, we conducted an online questionnaire-based survey method to collect data from Australian IT decision-makers. our results investigate that, BDACs have positively influenced an organisations’ sustainability performance in the supply chain. However, this impact is direct without a moderated effect, such as supplier integration.
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