Dr Imran Ali

Profile

Roles

• Lecturer (Assistant Professor) in Supply Chain Management

 

Biography

Dr. Imran Ali is a Lecturer (Assistant Professor) in Supply Chain Management at Queen Mary University of London. He holds a PhD in Supply Chain Management from Aberystwyth University in UK, where he was awarded the highly competitive Glyn Rowlands Doctoral Studentship. He also holds a MEng in Telecommunications from RMIT University in Australia. Prior to joining Queen Mary, Imran worked as a Senior Lecturer in Logistics and Supply Chain Management at the University of Huddersfield and a Lecturer at Cranfield University, UK. He was also the Lead of Supply Chains and digital transformation in the Northern Productivity Hub.

Imran also has more than 5 years of diverse telecom industry consultancy experience in enterprise network solution designing for multinational global accounts at SIEMENS. He is a certified solution consultant by Siemens Germany.

Imran is a Fellow of the Higher Education Academy (FHEA), UK and a chartered member of the Chartered Institute of Logistics and Transport (CILT), UK.

Teaching

Postgraduate

• BUSM222: Introduction to Supply Chain and Operations Analysis
• BUSM226: Analytical Frontiers in Supply Chain Management

Research

Research Interests:

Dr. Imran’s multidisciplinary research interests are in the digitisation of supply chains, innovative operations management practices, management of technology and innovation. Imran’s research findings have been published in leading journals such as Supply Chain Management: An International Journal, International Journal of Production Economics, International Journal of Production Research, Technovation and International Business Review.

Imran is recognised as an expert in his field and actively contributes to the academic community. He holds memberships in various international conferences. In addition to his scholarly contributions, Dr. Imran is committed to sharing his insights with a wider audience. He has authored practitioner articles based on his research for publications such as DHL, Sedex and Future Factory. Through these publications, he effectively disseminates his research and provides thought leadership to diverse policymakers and stakeholders.

Publications

Google Scholar Profile

Journal Articles

• Pei, X. & Ali, S. I. (2025). Machine Learning Applications For Sustainable Agri-Food Supply Chain Performance: A Systematic Literature Review And Future Research Agenda. International Journal of Business Information Systems (In Press)
• Jabbar, A., Dani, S., Ali, S. I. & Mirza, M. (2025). Conceptualising the use of Blockchain technology to enhance trust in supply chain transactions: An IS Perspective. International Journal of Business Information Systems (In Press)
• Zhou, Zhu, Ali, S. I. & Jabbar, Abdul (2025). Artificial Intelligence Techniques Prevalent in Manufacturing Supply Chain for Value Creation, International Journal of Business Information Systems (In Press).
• Jabbar, A., Akhtar, P., & Ali, S. I. (2024). The interplay between blockchain and big data analytics for enhancing supply chain value creation in micro, small, and medium enterprises. Annals of Operations Research. https://doi.org/10.1007/s10479-024-06415-5.
• Liu, T., Ali, S. I., & Jabbar, A. (2024). Omni-channel retail supply chain structures: a review of distribution and logistics. International Journal of Business and Systems Research,18(5), 401-429. https://doi.org/10.1504/IJBSR.2024.140784
• Balci, G., & Ali, S. I. (2024). The relationship between information processing capabilities, Net-Zero capability and supply chain performance, Supply Chain Management, 29 (2), p. 351-370. https://doi.org/10.1108/SCM-06-2023-0320
• Zirar, A., Ali, S. I., & Islam, N (2023). Worker and workplace Artificial Intelligence (AI) coexistence: Emerging themes and research agenda, Technovation, 124, 102747.   https://doi.org/10.1016/j.technovation.2023.102747
• Ali, S. I., Ali, A., AlKilabi, M., & Christie, M. (2021). Optimal supply chain design with product family: a cloud-based framework with real-time data consideration, Computers & Operations Research, 126, 105112. https://doi.org/10.1016/j.cor.2020.105112
• Ali, A., & Ali, S. I. (2020). Antecedents of the propensity to learn management practices and their impacts on firm outcomes in emerging markets: A Bayesian Model Averaging approach. International Business Review, 29 (4), 101706. https://doi.org/10.1016/j.ibusrev.2020.101706
• Mishra, N., Singh, A., Kumari, S., Govindan, K., & Ali, S. I. (2016). Cloud-based multi-agent architecture for effective planning and scheduling of distributed manufacturing. International Journal of Production Research, 54 (23), 7115-7128. https://doi.org/10.1080/00207543.2016.1165359
• Singh, A., Mishra, N., Ali, S. I., Shukla, N., & Shankar, R. (2015). Cloud computing technology: Reducing carbon footprint in beef supply chain. International Journal of Production Economics, 164, p. 462-471. https://doi.org/10.1016/j.ijpe.2014.09.019

Edited Book

• Qudrat-Ullah, H., & Ali, S. I. (Eds.) (2023). Advanced Technologies and the Management of Disruptive Supply Chains: The Post-COVID Era. Springer Nature.

 

Book Chapters

• Lingkon, Hasibul I., Ali, S.I., (2024). Comparative Analysis of Sustainable Urban Last-Mile Delivery Modes: Environmental and Economic Impacts. In Theories and Practices for Sustainable Urban Logistics. Polat, Olcay, Gülhan,  Görkem (eds.). IGI Global Publishing, p. 26-43. https://doi.org/10.4018/979-8-3693-1447-0.ch002
• Jose, J., Ali, S.I., (2024). Transparency Measures in Procurement for Sustainable Social Supply Chain. In Digital Transformation for Improved Industry and Supply Chain Performance. Khan, Naveed R., Jhanjhi, Noor Z. (eds.).  IGI Global Publishing, p. 218-261. https://doi.org/10.4018/979-8-3693-5375-2.ch010
• Wu, M & Ali, I., (2024). Impact Of Digital Technologies On Procurement And Supply Chain Management In The Manufacturing Sector. In Applications of New Technology in Operations and Supply Chain Management. Taghipour, A. (ed.). IGI Global Publishing (In Press). https://doi.org/10.4018/979-8-3693-1578-1.ch010
• Shetty, M., Habib, F., Imran Ali, S., Haq, A., & Khan, M. (2023). Impact of Digitalisation in Developing Procurement and Supply Chain Resilience in the Post Pandemic Era—A Study of the Global Manufacturing Sector. In Advanced Technologies and the Management of Disruptive Supply Chains: The Post-COVID Era. Qudrat-Ullah, H. & Ali, S. I. (eds.). Springer Nature Switzerland, p. 109-151. https://doi.org/10.1007/978-3-031-45229-1_6
• Zheng, X., & Ali, S. I. (2023). Potential of Internet of Things (IoT) and Blockchain Technology in the Collaboration and Integration of the Retail Supply Chain. In Glocal Policy and Strategies for Blockchain: Building Ecosystems and Sustainability. Kurubacak, G., Chander Sharma, R. & Yıldırım, H. (eds.). IGI Global, p. 189-222. https://doi.org/10.4018/978-1-6684-4153-4.ch009
• Shao, W. & Ali, I., (2022). Applying Internet of Things (IoT) and Blockchain Technology to Improve Traceability in Pharmaceutical Supply Chain: A Review of the Benefits and Challenges. In   Multidisciplinary   Perspectives   Towards   Building   a   Digitally   Competent Society. Bansal, S., Ahuja, V., Chaturvedi, V. & Jain, V. (eds.). IGI Global Publishing, p.1-30. https://doi.org/10.4018/978-1-6684-5274-5.ch001
• Dandona, M., Ali, I. & Jabbar, A., (2022). A Review of Omni-Channel and Advanced Technologies for Enhancing Customer Experience in the Retail Sector. In Driving Transformative Change in     E-Business Through Applied Intelligence and Emerging Technologies. Taherdoost, H. (ed.). IGI Global Publishing, p.74-99. https://doi.org/10.4018/978-1-6684-5235-6.ch004
• Bertoli, J., Habib, F. & Ali, I., (2022). Working Capital Minded Supply Chain and Procurement Management in Manufacturing Operations. Emerging Trends in Decision Sciences and Business Operations. Shrivastava, A. K. & Rana, S. (eds.). 1st ed. London and New York: Routledge, Taylor & Francis Group, p. 261-297.
• Sun,  Y.  and  Ali,  S.I.,  (2022). Internet of Things (IoT) and Blockchain Applications in Pharmaceutical Supply Chain Provenance to Achieve Traceability, Transparency, and Authenticity. In Advancing Smarter and More Secure Industrial Applications Using AI, IoT, and Blockchain Technology. IGI Global, p.1-36. https://doi.org/10.4018/978-1-7998-8367-8.ch001
• Ali, S.I., Habib, F., Ali, A., Ali, A., Khan, M.F. and Jamal, A., (2021). Integrating social media and warranty data for fault identification in the cyber ecosystem: A cloud-based collaborative framework. In Strategy, Leadership, and AI in the Cyber Ecosystem (pp. 41-70). Academic Press, p. 41-67. https://doi.org/10.1016/B978-0-12-821442-8.00012-4

Conference Proceedings

• Ali, S.I., Balci, G., Balci, E., (2024). Analysing the mediating role of circular economy to achieve supply chain resilience (published 2024 with co-authors). 28th Annual LRN Conference, Supply Chain Innovation and Value Creation, Technological University Dublin, Ireland, 4 – 6, September 2024.
• Ali, S. I.&  Ali, A.. (2022). A cloud-based framework for Optimal supply chain design with product family. 32nd Annual POMS-Conference, Emerging Domains of POM, USA, April 21-25, 2022.
• Ali, S. I.&  Ali, A. (2019). Integrating Social media and warranty data for fault identification in automobile sector, Production and Operations Management Society International Conference (POMS 2019), Brighton, September 2 – 4, 2019.
• Ali, S. I, Ali, A. & Christie, M.  (2016) Cloud-based Product Life Cycle Management (PLM) Framework for Fault identification in distributed manufacturing. International Conference on Business, Economics, Management and Marketing (ICBEMM 2016), Oxford University, Oxford, August 15 – 17, 2016.
• Ali, S. I & Mishra, N (2015) Design of Multi-Agent Based Cloud Integrated Manufacturing System (CIMS) for New Product Development. International Academic Conference in Paris (IACP 2015), Paris, France, August 10 – 11, 2015

Supervision

Dr. Imran's areas of interest for PhD supervision include:

• Disruptive Sustainability in Supply Chain Management: Exploring the fundamental shifts in business models of production and policies to address environmental, social and economic sustainability challenges.
• Risk Management in Globalised Supply Chain: Investigating the vulnerabilities in the supply chains and devising technological strategic shifts to mitigate the risks.
• Technological Impact on operations and across Supply Chain: Examining the transformative and disruptive role of Industry 5.0 technologies such as AI, ML, Big data analytics, Digital Twin and automation on addressing recent challenges of decarbonisation, Environmental and Social Governance (ESG) and data disclosure across the supply chains.