Understanding Big Data Analytics Capability and Sustainable Supply Chains

ABSTRACT

This paper presents the knowledge available in the literature regarding big data analytics capability (BDAC) and sustainable supply chain performance (SSCP). A detailed analysis of systematic literature reviews points out the lack of studies bridging these two separate streams of work. The paper puts forward a research agenda for researchers interested in understanding the impact of big data on sustainability.

KEYWORDS:

• Sustainability
• big data
• big data analytics capability
• dynamic capabilities
• supply chain management

Additional information

Notes on contributors

Dilek Cetindamar

Dr Dilek Cetindamar is an Assoc. Prof. in the School of Information, Systems, and Modelling at University Technology Sydney, Australia. She worked at many universities, including Case Western Reserve University (USA), Chalmers University of Technology (Sweden), and Sabanci University (Turkey). She has more than 100 publications, including nine books. She was awarded PICMET Fellowship in 2019, received the best book award from International Association for Management of Technology in 2012, and granted by an “encouragement award” from the Turkish Academy of Sciences in 2003.

Baraah Shdifat

Baraah Shdifat joined the School of Information, Systems and Modelling, UTS as a Ph.D. student in 2018. Her main interest and research topics are big data and sustainable performance. She received her B. S. degree from the computer science Department at Al al-Bayt University (Jordan), her M.A degree in Management Information System at Al Balqa Applied University (Jordan). She worked at City University College of Ajman (UAE), Zarqa Private University (Jordan) as computer lecturer in 2016. She was at the Ministry of Education (Jordan) as computer teacher 2010-2016. She worked as a computer programmer at the Ministry of Education (Jordan).

Eila Erfani

Dr. Eila Erfani is a senior lecturer and Deputy Head of School Teaching & Learning at the Faculty of Engineering and Information Technology, School of Information, Systems and Modelling, University of Technology Sydney. Eila possesses a highly honed set of managerial and research skills. She has a strong proven track record of high-quality publications to her credit. She has taught and coordinated numerous subjects at the undergraduate and postgraduate levels at various academic institutes. Prior to joining academia, she has worked in senior and managerial roles in a number of national and international organizations.