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AI Structuring Work Practices and Fuelling Employee Outcomes-Manufacturing Industry

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  • Pooja J

    (VIT University, Business School, Chennai, Tamil Nadu, India)

  • LRK Krishnan

    (Professor, VIT University, Business School, Chennai, Tamil Nadu, India)

Abstract

This research explores the influence of disruptive technologies on evolving work practices and their impact on employee experience and outcomes within the manufacturing industry. An extensive literature review was conducted to analyze existing academic research on the impact of AI on manufacturing work practices. A quantitative survey was conducted on 55 employees to assess their perspectives on the evolution of work practices driven by AI adoption. The survey analysed the key trends, patterns, and themes related to the intersection of AI, work practices, and employee experience. The findings reveal that AI-enabled automation enhances man-machine collaboration on the shop floor while allowing employees to focus on higher-level, intellectually stimulating tasks, thereby increasing job satisfaction. Moreover, proactive workforce upskilling and fostering a culture of continuous learning emerge as critical factors for maintaining employee motivation and engagement amidst the AI-driven transformation. The research findings provide valuable recommendations to assist managers in seamlessly integrating AI to transform work practices, these recommendations will aim to enhance employee experience, foster collaborative human-machine dynamics, and cultivate an engaged workforce aligned with Industry 4.0

Suggested Citation

  • Pooja J & LRK Krishnan, 2024. "AI Structuring Work Practices and Fuelling Employee Outcomes-Manufacturing Industry," International Journal of Research and Innovation in Social Science, International Journal of Research and Innovation in Social Science (IJRISS), vol. 8(7), pages 2927-2938, July.
    • Handle: RePEc:bcp:journl:v:8:y:2024:i:7:p:2927-2938
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    References listed on IDEAS

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    1. Frey, Carl Benedikt & Osborne, Michael A., 2017. "The future of employment: How susceptible are jobs to computerisation?," Technological Forecasting and Social Change, Elsevier, vol. 114(C), pages 254-280.
    2. David H. Autor, 2015. "Why Are There Still So Many Jobs? The History and Future of Workplace Automation," Journal of Economic Perspectives, American Economic Association, vol. 29(3), pages 3-30, Summer.
    3. Min Xu & Jeanne M. David & Suk Hi Kim, 2018. "The Fourth Industrial Revolution: Opportunities and Challenges," International Journal of Financial Research, International Journal of Financial Research, Sciedu Press, vol. 9(2), pages 90-95, April.
    4. Shen Kian Tan & Sivan Rajah, 2019. "Evoking Work Motivation in Industry 4.0," SAGE Open, , vol. 9(4), pages 21582440198, October.
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