Garg, P., Gupta, B., Sar, A. et al. (2 more authors) (2024) Development and Validation of an Instrument to Measure the Perceived Benefits of Digitalization in Manufacturing. IEEE Transactions on Engineering Management, 71. 8288 -8306. ISSN 0018-9391
Abstract
Digitalization in manufacturing can help the firm to improve output and reduce costs. This work reports on the development, testing, and validation of an instrument to measure the perceived benefits of digitalization in manufacturing. The item was developed based on a comprehensive literature review and qualitative investigation from practitioners who are actively engaged in taking decisions/implementing digitalization in Indian manufacturing. Exploratory factor analysis of data from 234 practitioners yielded 5 factors of perceived benefits of digitalization in manufacturing: real-time monitoring; data governance; eco-positivity; resiliency and agility; and embedded/automated control. The results of confirmatory factor analysis on a different sample of 235 practitioners supported the stability of this 5-factor structure. The empirical results confirm the high reliability and construct validity of the newly developed instrument by achieving discriminant, convergent, nomological and predictive validity. Furthermore, this research provides a self-diagnostic tool for manufacturing firms to assess the existing capability and prioritize digitalization efforts for maximum benefits over time.
Metadata
Item Type: | Article |
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Authors/Creators: |
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Copyright, Publisher and Additional Information: | © 2024 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. |
Keywords: | Confirmatory factor analysis, Digitalization, Instrument development, Manufacturing sector, Perceived benefits |
Dates: |
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Institution: | The University of Leeds |
Academic Units: | The University of Leeds > Faculty of Business (Leeds) > Management Division (LUBS) (Leeds) > Logistics, Info, Ops and Networks (LION) (LUBS) |
Depositing User: | Symplectic Publications |
Date Deposited: | 22 Apr 2024 13:42 |
Last Modified: | 07 Aug 2024 14:08 |
Status: | Published |
Publisher: | IEEE |
Identification Number: | 10.1109/TEM.2024.3390434 |
Open Archives Initiative ID (OAI ID): | oai:eprints.whiterose.ac.uk:211656 |