Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries

With the emergence of industry 4.0, several elements of the supply chain are transforming through the adoption of smart technologies such as blockchain, the internet of things and cyber-physical systems. Logistics is considered one of the important elements of supply chain management and its digital...

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Main Authors: Shahbaz Khan, Rubee Singh, José Carlos Sá, Gilberto Santos, Luís Pinto Ferreira
Format: Article
Language:English
Published: MDPI AG 2022-12-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/10/12/1242
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author Shahbaz Khan
Rubee Singh
José Carlos Sá
Gilberto Santos
Luís Pinto Ferreira
author_facet Shahbaz Khan
Rubee Singh
José Carlos Sá
Gilberto Santos
Luís Pinto Ferreira
author_sort Shahbaz Khan
collection DOAJ
description With the emergence of industry 4.0, several elements of the supply chain are transforming through the adoption of smart technologies such as blockchain, the internet of things and cyber-physical systems. Logistics is considered one of the important elements of supply chain management and its digital transformation is crucial to the success of industry 4.0. In this circumstance, the existing logistics system needs to be upgraded with industry 4.0 technologies and emerge as logistics 4.0. However, the adoption/transformation of logistics 4.0 is dependent on several determinants that need to be explored. Therefore, this study has the prime objective of investigating the determinants of logistics 4.0 adoption in the context of a developing country, specifically, India. Initially, ten determinants of logistics 4.0 are established after a survey of the relevant literature and the input of industry experts. Further, a four-level structural model is developed among these determinants using the Interpretive Structural Modelling (ISM) approach. In addition, a fuzzy Matrix of Cross-Impact Multiplications Applied to Classification (MICMAC) analysis is also conducted for the categorization of these determinants as per their driving and dependence power. The findings show that top management supports, information technology infrastructure and financial investment are the most significant determinants towards logistics 4.0 adoption. This study facilitates the supply chain partners to focus on these high-level determinants for the effective adoption of logistics 4.0. Moreover, the findings lead to a more in-depth insight into the determinants that influence logistics 4.0 and their significance in logistics 4.0 adoption in emerging economies.
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spelling doaj.art-199032afe7984265b7d1fb1c2803f84a2023-11-24T16:18:03ZengMDPI AGMachines2075-17022022-12-011012124210.3390/machines10121242Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing CountriesShahbaz Khan0Rubee Singh1José Carlos Sá2Gilberto Santos3Luís Pinto Ferreira4Institute of Business Management, GLA University, Mathura 281406, IndiaInstitute of Business Management, GLA University, Mathura 281406, IndiaSchool of Engineering, Polytechnic of Porto (ISEP), 4200-072 Porto, PortugalDesign School, Polytechnic Institute Cavado and Ave, 4750-810 Barcelos, PortugalSchool of Engineering, Polytechnic of Porto (ISEP), 4200-072 Porto, PortugalWith the emergence of industry 4.0, several elements of the supply chain are transforming through the adoption of smart technologies such as blockchain, the internet of things and cyber-physical systems. Logistics is considered one of the important elements of supply chain management and its digital transformation is crucial to the success of industry 4.0. In this circumstance, the existing logistics system needs to be upgraded with industry 4.0 technologies and emerge as logistics 4.0. However, the adoption/transformation of logistics 4.0 is dependent on several determinants that need to be explored. Therefore, this study has the prime objective of investigating the determinants of logistics 4.0 adoption in the context of a developing country, specifically, India. Initially, ten determinants of logistics 4.0 are established after a survey of the relevant literature and the input of industry experts. Further, a four-level structural model is developed among these determinants using the Interpretive Structural Modelling (ISM) approach. In addition, a fuzzy Matrix of Cross-Impact Multiplications Applied to Classification (MICMAC) analysis is also conducted for the categorization of these determinants as per their driving and dependence power. The findings show that top management supports, information technology infrastructure and financial investment are the most significant determinants towards logistics 4.0 adoption. This study facilitates the supply chain partners to focus on these high-level determinants for the effective adoption of logistics 4.0. Moreover, the findings lead to a more in-depth insight into the determinants that influence logistics 4.0 and their significance in logistics 4.0 adoption in emerging economies.https://www.mdpi.com/2075-1702/10/12/1242determinantsindustry 4.0logistics 4.0ISMfuzzy MICMAC
spellingShingle Shahbaz Khan
Rubee Singh
José Carlos Sá
Gilberto Santos
Luís Pinto Ferreira
Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries
Machines
determinants
industry 4.0
logistics 4.0
ISM
fuzzy MICMAC
title Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries
title_full Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries
title_fullStr Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries
title_full_unstemmed Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries
title_short Modelling of Determinants of Logistics 4.0 Adoption: Insights from Developing Countries
title_sort modelling of determinants of logistics 4 0 adoption insights from developing countries
topic determinants
industry 4.0
logistics 4.0
ISM
fuzzy MICMAC
url https://www.mdpi.com/2075-1702/10/12/1242
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