Editorial

Date29 April 2021
DOIhttps://doi.org/10.1108/IJLM-05-2021-487
Pages305-319
Published date29 April 2021
Subject MatterManagement science & operations,Logistics
AuthorVijay Pereira,Gopalakrishnan Narayanamurthy,Alessio Ishizaka,Noura Yassine
Editorial
Investigating decision-making in logistics management in the era of disruptive
technologies: editorial contribution
Introduction
During the past century, logistics as an industry and academic discipline has been
experiencing revolutionary growth and development (Liao-Troth et al., 2012). The literature
in the domain of decision-making in logisti cs management has been focussing on
understanding the role logistics and logistics managers play in creating value for the
customer and other associated stakeholders (Walters, 1999). To achieve the desired
objectives, logistics managers are often seen to undertake mainly three strategic decisions at
the firm level (Wanke and Zinn, 2004). The first stream of decision-making involves resolving
the dilemma between make to order vs make to stock decisions. Process technology,
obsolescence, lead-time ratio, delivery time and perishability are some of the key variables
affecting this decision-making (Soman et al., 2004;Van Donk, 2001). The second stream of
decision-making is whether the manager would deploy push or pull inventory logic as a
strategic decision. The push decision is based on the basic of demand planning and
forecasting, whereas the pull decision is based on the demand itself (Davis et al., 2014).
Different studies have tried to explain the factors behind the logic and its possible
implications to strategic decision-making in logistics management (Abad, 2003). The third
strategic decision is whether to adopt a centralised inventory system or a decentralised one.
Freight considerations, transportations costs, location node issues and inventory turnover
are some of the relevant variables that may affect inventory decentralisation decisions
(Abdul-Jalbar et al., 2003;Zinn et al., 1989). Based on these strategic decisions, logistics system
across the supply chain gets configured. This configuration of logistics systems makes a
critical contribution towards managing disruptions such as COVID-19 and recovery of
supply chains post such disruptions (Singh et al., 2020;Choi, 2020).
Scholars have stressed the importance of investigating and understanding the evolution
of logistics with digital revolution that is being currently experienced due to the emergence of
disruptive technologies (Daduna, 2019;Liu et al., 2020). Christensen (1997) first termed
disruptive technology and explained it as a type of technology to replace the existing
mainstream technology in unexpected ways (Liu et al., 2020). These disruptive technologies
have often been simpler and usually easier to use and handle (Dhillon et al., 2001), making
them economically and operationally appealing to managers. Big data (Nagendra et al., 2020a,
b), artificial intelligence (Rodriguez-Espindola et al., 2020), blockchain (Wamba et al., 2020),
3D printing (Mohr and Khan, 2015), Internet of Things (IoTs) and smart robots for
automation (Goldsby and Zinn, 2016) are different examples of the disruptive technologies.
Editorial
305
This paper forms part of a special section Decision Making in Logistics Management in the Era of
Disruptive Technologies, guest edited by Vijay Pereira, Gopalakrishnan Narayanamurthy, Alessio
Ishizaka and Noura Yassine.
The authors thank all the reviewers who spent their invaluable time to review the articles on time,
which enabled us to complete this special issue successfully. Authors would also like to thank Dr. Tuhin
Sengupta and Ms. Elena Koumi for sharing feedback on the initial call for papers and offering support on
the literature review, respectively. Finally, the authors thank the editor-in-chief of International Journal
of Logistics Management, Prof. Britta Gammelgaard and journals senior associate editors and associate
editors for accepting our special issue proposal and offering clear guidance in the review and publication
process.
The International Journal of
Logistics Management
Vol. 32 No. 2, 2021
pp. 305-319
© Emerald Publishing Limited
0957-4093
DOI 10.1108/IJLM-05-2021-487

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