Development and Validation of an Instrument to Measure the Perceived Benefits of Digitalization in Manufacturing

被引：0
|
作者：
Garg, Poonam [1 ]
Gupta, Bhumika [2 ]
Sar, Archana [3 ]
Graham, Gary [4 ]
Shore, Adam P. [5 ]
机构：
[1] Inst Management Technol Ghaziabad, Ghaziabad 201001, India
[2] Inst Mines Telecom Business Sch Evry, F-91000 Ile De France, France
[3] GL Bajaj Inst Technol & Management Greater Noida, Greater Noida 201306, India
[4] Univ Leeds, Business Sch Leeds, Leeds LS2 9JT, England
[5] Liverpool John Moores Univ, Liverpool Business Sch, Merseyside, England
来源：
IEEE TRANSACTIONS ON ENGINEERING MANAGEMENT | 2024年 / 71卷
关键词：
Manufacturing; Fourth Industrial Revolution; Production; Business; Organizations; Automation; Instruments; Confirmatory factor analysis; digitalization; instrument development; manufacturing sector; perceived benefits; SUPPLY CHAIN MANAGEMENT; INDUSTRY; 4.0; PROCESS SAFETY; BIG DATA; FUTURE; TRANSFORMATION; IMPACT; INNOVATION; SERVITIZATION; DIGITIZATION;
D O I：
10.1109/TEM.2024.3390434
中图分类号：
F [经济];
学科分类号：
02 ;
摘要：
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.
引用
收藏
页码：8288 / 8306
页数：19
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