Handbook of Research on Promoting Logistics and Supply Chain Resilience Through Digital Transformation
Masudin, Ilyas (EDT); Almunawar, Mohammad Nabil (EDT); Restuputri, Dian Palupi (EDT); Sud-on, Ploy (EDT)
Language: English
Published by Igi Global Scientific Publishing, 2022
- Hardcover
- New
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- Title
- Handbook of Research on Promoting Logistics and Supply Chain Resilience Through Digital Transformation
- Author
- Masudin, Ilyas (EDT); Almunawar, Mohammad Nabil (EDT); Restuputri, Dian Palupi (EDT); Sud-on, Ploy (EDT)
- Publisher
- Igi Global Scientific Publishing
- Publication year
- 2022
- Condition
- New
- Binding
- Hardcover
- Language
- English
- ISBN 10
- 1668458829
- ISBN 13
- 9781668458822
The Handbook of Research on Promoting Logistics and Supply Chain Resilience Through Digital Transformation discusses the ways in which global logistics and supply chains have been severely disrupted by digital technology transformation. The book helps policymakers in designing a resilient framework that can absorb external shocks like the COVID-19 pandemic and also enhances the performance and operational capability of the logistics and supply chain network. Covering topics such as oil and gas maintenance support, stakeholder management, and business optimization strategy, this major reference work is essential for logistics professionals, business leaders and executives, IT managers, government officials, manufacturers, students and faculty of higher education, librarians, researchers, and academicians.
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About the Author
Dr. Mohammad Nabil Almunawar is currently an associate professor at the School of Business and Economics, Universiti of Brunei Darussalam (UBDSBE), Brunei Darussalam. Hwe wasthe former dean of UBDSBE. He received his bachelor’s degree in 1983 from Bogor Agricultural University, Indonesia, master’s degree (MSc) from the Department of Computer Science, University of Western Ontario, London, Canada in 1991, and Ph.D in Computer Science/Information Systems from the University of New South Wales in 1998. Dr. Almunawar has published more than 100 papers in refereed journals, books, book chapters, encyclopedias, and international conference proceedings. He has more than 30 years of teaching experience in the area of information systems. His overall research interests include applications of IT in management, e-business/commerce, digital marketplace/platform, digital business ecosystem, health informatics, information security, and cloud computing. Currently, he focuses his research on digital transformation, digital marketplace, digital platform, and digital business ecosystem.
Dian Palupi Restuputri is a lecturer and researcher in the Industrial Engineering department at the University of Muhammadiyah Malang. Her research interests are in the area of ergonomics and human factor engineering. She received his bachelor's degree in Industrial Engineering from Diponegoro University (2007). She holds a master’s degree in Industrial Engineering from Institute of Technology Bandung (2012)
Dr. Ploy Sud-On received her Ph.D. in Supply Chain and Logistics Management from School of Business Information Technology and Logistics, Royal Melbourne Institute of Technology University, Melbourne, Australia. She obtained her MSc in International Business and Logistics Management, both degrees from the University of Sydney, Sydney, Australia. Currently, she is an MUIC full-time lecturer in charge of Global Supply Chain and Logistics Management, and International Business Management. Her past experiences also include working as a logistics coordinator at BIT Logistics Company, Sydney, Australia, and as an export-import coordinator at Fujitrans Shipping Line Co, Ltd., Bangkok, Thailand. With regard to the academic research, her research interest involves around production and operations management, studying the impact of agile practices (e.g., manufacturing flexibility, virtual enterprise and concurrent engineering) on firm’s operational and financial performance. Her main analysis method includes structural equation modeling (both exploratory and confirmatory factor analysis) consumer to perform the research modelling
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