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Personal profile
Academic Biography
Muhammad Imran Qureshi is a Ph.D. in Operations Management from Universiti Teknologi Malaysia. He is an enthusiastic academician in operations management and big data analytics. He served as a senior lecturer at Universiti Teknikal Malaysia Melaka from 2019 to 2022. He also served at the Malaysian Institute of Industrial Technology (MITEC), Universiti Kuala Lumpur (UniKL) from 2017 to 2019. He had worked as a lecturer at COMSATS Institute of Information Technology, Pakistan, from 2007 to 2014.
During his teaching tenure, he had been teaching different modules related to the operations management field at the B.S. and M.S. and PhD. level. These courses were included Project Management, Operations Management, Management of Technology, Big data analytics, Market technology Intelligence, Operations Research, Total Quality Management, Statistical Process Control, Environmental Management, Logistic and Supply Chain Management, Production Management and Operations Research. Besides classroom teaching, He has conducted several workshops on Structural Equation Modeling (SEM) using AMOS and SMART PLS, and qualitative data analysis using NVIVO, Systematic Literature Reviews and Meta-Analysis.
On the research side, his research profile consists of more than 160 research publications in renowned journals with a cumulative impact factor above 100. He has written several impact factor publications with world-renowned publishers like ELSEVIER and SPRINGER in operations management, environmental management, sustainability, and organizational behavior.
He is also a consultant in digital business development and is actively involved in developing local and multinational businesses. He provided business consultancy to many organizations. He is the founding director of CONNECTING ASIA research network.
Education/Academic qualification
PhD, Work design practices for sustainable manufacturing performance under socio-technical context, Universiti Teknologi Malaysia
28 Apr 2014 → 18 Sep 2016
Award Date: 18 Sep 2016
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Network
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Digital Manufacturing Ecosystems Framework for Sustainable Performance
Qureshi, M. I. & Khan, M. M.
1/09/22 → 31/08/25
Project: Research
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Mitigating Environmental Emissions at Source: Integrating Human and Technology Capabilities for Sustainable Manufacturing
Qureshi, M. I. & Rasiah, R.
1/09/18 → 31/08/20
Project: Research
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Work practices under Socio-technical systems for sustainable manufacturing among large manufacturers of Malaysia
Qureshi, M. I. & Rasli, A. M.
1/09/15 → 31/08/18
Project: Research
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Artificial Intelligence in Healthcare Business Ecosystem: A Bibliometric Study
Ismail, A. F. M. F., Sam, M. F. M., Bakar, K. A., Ahamat, A., Adam, S. & Qureshi, M. I., 11 Jul 2022, In: International journal of online and biomedical engineering. 18, 9, p. 100-114 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile33 Downloads (Pure) -
Assessing Hospital Management Performance in Intensive Care Units (ICUs) During the COVID-19: A Study from the Pandemic Outbreak Perspective
Mustapha, I., Khan, N., Qureshi, M. I. & Van, N. T., 26 Jul 2022, In: International journal of online and biomedical engineering. 18, 10, p. 154-168 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile11 Downloads (Pure) -
Digital Technologies in Healthcare: A Systematic Review and Bibliometric Analysis
Sikandar, H., Abbas, A. F., Khan, N. & Qureshi, M. I., 28 Jun 2022, In: International journal of online and biomedical engineering. 18, 8, p. 34-48 15 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile58 Downloads (Pure) -
Editorial: Business disruptions and innovations beyond COVID-19
Qureshi, M. I. & Khan, N., 29 Apr 2022, In: Foresight. 24, 3-4, p. 297-300 4 p.Research output: Contribution to journal › Article › peer-review
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Efficacy and pitfalls of digital technologies in healthcare services: A systematic review of two decades
Akhtar, N., Khan, N., Qayyum, S., Qureshi, M. I. & Hishan, S. S., 16 Sep 2022, In: Frontiers in Public Health. 10, 869793.Research output: Contribution to journal › Review article › peer-review
Open AccessFile22 Downloads (Pure)