Workforce Transformation and Value Creation in the Era of Industry 4.0, 5.0 and 6.0: Challenges and Enablers

Industry 4.0, Industry 5.0, and Industry 6.0 have been empowered by the acceptance of several advanced technologies, including the Internet of Things (IoT), artificial intelligence, robotics, and human-centric innovation in releasing industries. Comprehensive studies that can include barriers as well as enablers are difficult to conduct. This study employs a mixed-methods research approach, integrating of AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to evaluate key challenges and enablers in workforce transformation. The Findings indicate that leadership vision, digital investment, and employee upskilling play a crucial role in transformation navigation. Additionally, automation and AI adoption present both opportunities and challenges for workforce adaptability. The study provides strategic insights for organizations to enhance their workforce resilience, competitiveness in the evolving industrial landscape. The study offers actionable advice for businesses, policymakers, and educators, and successfully adaptation the paradigm and sustainable development in the modern era.

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Publication Details

Journal
International Journal of Basic and Applied Sciences
Published
2025-05-14
DOI
https://doi.org/10.14419/r61ag136
Citations
2
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
2.48
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article

Workforce Transformation and Value Creation in the Era of Industry 4.0, 5.0 and 6.0: Challenges and Enablers

Kamal Upreti, Rituraj Jain, V. Radhakrishnan, Vishakha Kuwar et al.
2 citations
International Journal of Basic and Applied Sciences
Digital Transformation in Industry
2.48
article

Workforce Transformation and Value Creation in the Era of Industry 4.0, 5.0 and 6.0: Challenges and Enablers

Kamal Upreti, Rituraj Jain, V. Radhakrishnan, Vishakha Kuwar, Komal Gupta, Uma Shankar, Amit Yadav, Vandana Sonawaney
article en
2 citations

Abstract

Industry 4.0, Industry 5.0, and Industry 6.0 have been empowered by the acceptance of several advanced technologies, including the Internet of Things (IoT), artificial intelligence, robotics, and human-centric innovation in releasing industries. Comprehensive studies that can include barriers as well as enablers are difficult to conduct. This study employs a mixed-methods research approach, integrating of AHP (Analytic Hierarchy Process) and TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) to evaluate key challenges and enablers in workforce transformation. The Findings indicate that leadership vision, digital investment, and employee upskilling play a crucial role in transformation navigation. Additionally, automation and AI adoption present both opportunities and challenges for workforce adaptability. The study provides strategic insights for organizations to enhance their workforce resilience, competitiveness in the evolving industrial landscape. The study offers actionable advice for businesses, policymakers, and educators, and successfully adaptation the paradigm and sustainable development in the modern era.

International Journal of Basic and Applied SciencesVol. 14(1)
Accenture (Switzerland) (CH), Symbiosis International University (IN), Kurdistan Regional Government (IQ), Marwadi University (IN), Industrial Research Institute of Ishikawa (JP), Christ University (IN), University of Sulaimani (IQ), KIIT University (IN)
Openalex Percentile: Top 11%
Digital Transformation in Industry
2.48
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