TY - JOUR
T1 - Digitalization of supply chains in Industry 4.0 environment of manufacturing organizations
T2 - conceptualization, scale development & validation
AU - Mishra, Ruchi
AU - Kr Singh, Rajesh
AU - Gunasekaran, Angappa
N1 - Publisher Copyright:
© 2023 Informa UK Limited, trading as Taylor & Francis Group.
PY - 2023
Y1 - 2023
N2 - Digitalization of the supply chain represents using several advanced digital technologies to support and synchronize organizational interactions by making services more valuable, accessible, and affordable for customer satisfaction. Given the growing significance of supply chain digitalization, developing a valid and reliable instrument to assess the level of digitalization of supply chain practices is imperative. However, no systematic and scientific study has been carried out to develop such an instrument. This study aims to conceptualize, develop, and validate a multifaceted scale for assessing the digitalization practices in the supply chain. Data for the study are collected from 246 organizations, and measurement scales are evaluated and validated using structural equation modelling. Using competing model strategy, five alternate competing models are developed and tested to identify the best fitting parsimonious model. Following the well-established procedure of instrument development, the study confirms the existence of four dimensions of digitalization practices, namely sourcing digitalization, operations digitalization, distribution network digitalization and digitalized strategic planning with adequate levels of reliability, convergent validity, discriminant validity and nomological validity. The study theoretically conceptualizes and operationalizes digitalization associated with Industry 4.0 as a multi-dimensional construct tapping its four key dimensions. The findings contribute to the existing literature by offering an understanding of the multi-dimensional scale of digitalization practices, which will be highly valuable for future research on the digitalization of the supply chain in the industry 4.0 environment.
AB - Digitalization of the supply chain represents using several advanced digital technologies to support and synchronize organizational interactions by making services more valuable, accessible, and affordable for customer satisfaction. Given the growing significance of supply chain digitalization, developing a valid and reliable instrument to assess the level of digitalization of supply chain practices is imperative. However, no systematic and scientific study has been carried out to develop such an instrument. This study aims to conceptualize, develop, and validate a multifaceted scale for assessing the digitalization practices in the supply chain. Data for the study are collected from 246 organizations, and measurement scales are evaluated and validated using structural equation modelling. Using competing model strategy, five alternate competing models are developed and tested to identify the best fitting parsimonious model. Following the well-established procedure of instrument development, the study confirms the existence of four dimensions of digitalization practices, namely sourcing digitalization, operations digitalization, distribution network digitalization and digitalized strategic planning with adequate levels of reliability, convergent validity, discriminant validity and nomological validity. The study theoretically conceptualizes and operationalizes digitalization associated with Industry 4.0 as a multi-dimensional construct tapping its four key dimensions. The findings contribute to the existing literature by offering an understanding of the multi-dimensional scale of digitalization practices, which will be highly valuable for future research on the digitalization of the supply chain in the industry 4.0 environment.
UR - http://www.scopus.com/inward/record.url?scp=85148375114&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85148375114&partnerID=8YFLogxK
U2 - 10.1080/09537287.2023.2172622
DO - 10.1080/09537287.2023.2172622
M3 - Article
AN - SCOPUS:85148375114
SN - 0953-7287
JO - Production Planning and Control
JF - Production Planning and Control
ER -