 Study and Analysis of Barriers for Implementation of Industry 4.0 Technologies Using Spherical Fuzzy TOPSIS MethodAkshay Kumar and Chimata Murli Krishna SAGE Open, 2025, vol. 15, issue 1, 21582440241271094 Abstract: The objective of this research work is to study and analyze the most influential barriers, and minimize their effect for successful implementation of industry 4.0 technologies in the manufacturing industry. The identified barriers are classified into (i) operational, (ii) technical, and (iii) social barriers. Drivers are proposed to minimize the effect of barriers, and a relationship between barriers and drivers has been established using data collected from a questionnaire survey for the manufacturing industry in India. A multicriteria decision-making (MCDM) model is formulated and is solved by using a proposed methodology involving interval-valued spherical fuzzy sets (IVSF) based TOPSIS method. The results indicate that high investment, communication between operational and information technologies, and the resistance of employees to change prove to be potential barriers for the manufacturing industry in developing countries. Drivers such as government initiatives, establishment of fast internet connectivity, job security, etc., are recommended in this research work for minimizing the effect of barriers. Keywords: industry 4.0; IVSF TOPSIS; barriers; drivers; MCDM; manufacturing industry (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:sae:sagope:v:15:y:2025:i:1:p:21582440241271094 DOI: 10.1177/21582440241271094 Access Statistics for this article More articles in SAGE Open |
Is your work missing from RePEc? Here is how to contribute.
Questions or problems? Check the EconPapers FAQ or send mail to .
EconPapers is hosted by the
School of Business at Örebro University.