Dr. Muhammad Mustafa Kamal is an Associate Professor of Supply Chain Management, Curriculum Lead in Decision Making (Business Analytics) and Risk Management, and Director of the Transnational Research Degree (TNRD) Programme at the School of Strategy and Leadership. Dr Kamal is a Senior Fellow of HEA and a Certified Management and Business Educator (CMBE).  

Prior to joining Coventry University, he was a Senior Lecturer in Operations and Supply Chain Management, Director of UG Programmes and Director of Alumni at the Brunel Business School, Brunel University London. He earned his Doctorate in Information Systems from the School of Information Systems, Computing and Mathematics, Brunel University London. His current research interests include Operations and SCM, Circular Economy, Industry 4.0, Information Systems and Technology Management, Technology and SCM, Social Media, Big Data and Business Analytics, and Supply Chain Integration.  

Currently, he is the Deputy Editor for the Journal of Enterprise Information Management (JEIM), Senior Editor for Information Systems Management and on editorial board for Government Information Quarterly. He has published over 70 papers in refereed academic journals, conference proceedings, book chapters, and magazine article. His research work has appeared in several leading ABS ranked journals, such as International Journal of Production Research, Journal of Business Research, Information and Management, Production, Planning and Control, Expert Systems with Applications, Government Information Quarterly, Supply Chain Management: An International Journal, and Journal of the Operational Research Society, International Journal of Information Management, and Information Systems Management. He has also presented his research papers at globally esteemed conferences such as British Academy of Management Conference (BAM), European Conference on Information Systems (ECIS), Americas Conference on Information Systems (AMCIS), and Hawaii International Conference on System Sciences (HICSS). He has also chaired conferences and tracks at leading conferences including AMCIS, ECIS and HICSS. He has worked on several internal and external research grant (including EU Framework 7, Horizon 2020, Qatar National Research Foundation).   

Dr. Kamal has extensive experience in higher education. He has taught at both UG and PGT (including MBA) levels in areas such as Business Models and Processes, Business Modelling and Simulation in Supply Chains, Contemporary Supply Chain Management,Operations Management, Procurement Fundamentals, Marketing Channels and Logistics, Understanding Business and Management Research Methods, Issues and Controversies in Management Project, and Mobile Web, Social Media, and Cloud Computing. He has also provided professional consultancy on Oracle Applications (Remote Services) to the Ministry of Water and Electricity (MoWE), Kingdom of Saudi Arabia.

He has completed the supervision of 15 PhD and over 150 BSc and MSc students, and currently leads a team of six doctoral researchers in many emerging areas related to supply chain and operations management (two at Coventry University and four from previous institute - Brunel University London). As part of his duty, he is also actively involved in nurturing early career researchers and mentoring colleagues on ASPIRE programme.

Operations and Supply Chain Management, Decision Making and Risk Management, Circular Economy, Industry 4.0, Information Systems and Technology Management, Technology and Supply Chain Management, Social Media, Big Data and Business Analytics, and Supply Chain Integration.

High-calibre PhD candidates are invited to join the dynamic research team at the Sustainable Production and Consumption cluster, to work on the following research topics:

Project 1: Achieving Sustainability in Supply Chain Operations - Role of Circular Economy and Industry 4.0

Several noticeable researchers and practitioners have recognised the significance and applicability of circular economy and industry 4.0 for supply chain operations and production management at large. However, relatively little is known about the role of circular economy and industry 4.0 in achieving sustainable supply chain operations (e.g. on demand planning, production and manufacturing, logistics, procurement, and inventory). Among the extant research studies published, a few shed light on the link between IoT and SCM and the impact of additive manufacturing on supply chain operations, processes and performances. This project aims to research and respond to questions - what is the role of circular economy and industry 4.0 in developing sustainable supply chain operations.

Project 2: Impact and Use of Social Media in Developing Sustainable Logistics and Supply Chain Operations

This project aims to research and respond to a topical question - what is the impact of using social media in developing sustainable logistics and supply chain operations. Within business organisations, social media has transformed the way employees connect, communicate and collaborate in order to exchange information and knowledge across intra- and inter-organisation and across different regions. This social media practice offers new implications for innovating logistics and supply chain operations. The answer to this proposed question will support in redefining how supply chain businesses relate to customers, suppliers and other key stakeholders in not only a single supply chain, but network of supply chains. Research in this area will lead to understanding new collaboration best practices and operational challenges in the supply chain management discipline.

Project 3: Assessing Sustainability of Business Analytics and Supply Chain Analytics - A Systems Dynamic Approach

Businesses and supply chain organisations, using analytical different methods, assess their past performance to gain insights and drive their business planning for a better future. This project aims to investigate the use of systems dynamic approach to understand how business organisations assess and conceptualise their development over time. The purpose is to also explore ways to identify the risks and help predict the potential risks throughout the supply chain.