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Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry

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  • James, Ajith Tom
  • Kumar, Girish
  • Tayal, Pushpal
  • Chauhan, Ashwin
  • Wadhawa, Chirag
  • Panchal, Jasmin

Abstract

Industry 4.0 is a novel concept in the manufacturing sector that will enhance productivity in the automobile industry. However, there are many challenges to its implementation in the context of the Indian automobile industry. This paper identifies the Human Resource Management (HRM) challenges associated with the implementation of Industry 4.0 in the Indian automobile industry and analyses them using a hybrid methodology. The hybrid model, which is a combination of the Best and Worst Model (BWM) and DEMATEL (Decision Making Trial and Evaluation Laboratory) is implemented in this paper for analysis of the weightages of various challenges followed by its categorization into cause and effect groups. This paper is a unique and novel one that addresses the most contemporary issues related to HRM challenges associated with the implementation of Industry 4.0 practices in the Indian automobile industry. The automobile manufacturers can infer from the results to mitigate the causes of HRM challenges and promote the implementation of Industry4.0 in their plants in a most productive manner.

Suggested Citation

  • James, Ajith Tom & Kumar, Girish & Tayal, Pushpal & Chauhan, Ashwin & Wadhawa, Chirag & Panchal, Jasmin, 2022. "Analysis of human resource management challenges in implementation of industry 4.0 in Indian automobile industry," Technological Forecasting and Social Change, Elsevier, vol. 176(C).
    • Handle: RePEc:eee:tefoso:v:176:y:2022:i:c:s0040162522000154
    DOI: 10.1016/j.techfore.2022.121483
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    1. Maryam Abdirad & Krishna Krishnan & Deepak Gupta, 2021. "A two-stage metaheuristic algorithm for the dynamic vehicle routing problem in Industry 4.0 approach," Journal of Management Analytics, Taylor & Francis Journals, vol. 8(1), pages 69-83, January.
    2. Raj, Alok & Dwivedi, Gourav & Sharma, Ankit & Lopes de Sousa Jabbour, Ana Beatriz & Rajak, Sonu, 2020. "Barriers to the adoption of industry 4.0 technologies in the manufacturing sector: An inter-country comparative perspective," International Journal of Production Economics, Elsevier, vol. 224(C).
    3. Lee, In & Lee, Kyoochun, 2015. "The Internet of Things (IoT): Applications, investments, and challenges for enterprises," Business Horizons, Elsevier, vol. 58(4), pages 431-440.
    4. Li, Ling, 2018. "China's manufacturing locus in 2025: With a comparison of “Made-in-China 2025” and “Industry 4.0”," Technological Forecasting and Social Change, Elsevier, vol. 135(C), pages 66-74.
    5. Okada, Aya, 2004. "Skills Development and Interfirm Learning Linkages under Globalization: Lessons from the Indian Automobile Industry," World Development, Elsevier, vol. 32(7), pages 1265-1288, July.
    6. Sven-Vegard Buer & Jan Ola Strandhagen & Felix T. S. Chan, 2018. "The link between Industry 4.0 and lean manufacturing: mapping current research and establishing a research agenda," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2924-2940, April.
    7. Alexandre Moeuf & Samir Lamouri & Robert Pellerin & Simon Tamayo-Giraldo & Estefania Tobon-Valencia & Romain Eburdy, 2020. "Identification of critical success factors, risks and opportunities of Industry 4.0 in SMEs," International Journal of Production Research, Taylor & Francis Journals, vol. 58(5), pages 1384-1400, March.
    8. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Papadopoulos, Thanos & Luo, Zongwei & Wamba, Samuel Fosso & Roubaud, David, 2019. "Can big data and predictive analytics improve social and environmental sustainability?," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 534-545.
    9. Li Da Xu & Eric L. Xu & Ling Li, 2018. "Industry 4.0: state of the art and future trends," International Journal of Production Research, Taylor & Francis Journals, vol. 56(8), pages 2941-2962, April.
    10. Guy Michaels & Ashwini Natraj & John Van Reenen, 2010. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over 25 Years," CEP Discussion Papers dp0987, Centre for Economic Performance, LSE.
    11. Muhammad Haseeb & Hafezali Iqbal Hussain & Beata Ślusarczyk & Kittisak Jermsittiparsert, 2019. "Industry 4.0: A Solution towards Technology Challenges of Sustainable Business Performance," Social Sciences, MDPI, vol. 8(5), pages 1-24, May.
    12. Shet, Sateesh V. & Pereira, Vijay, 2021. "Proposed managerial competencies for Industry 4.0 – Implications for social sustainability," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    13. Li Da Xu, 2020. "The contribution of systems science to Industry 4.0," Systems Research and Behavioral Science, Wiley Blackwell, vol. 37(4), pages 618-631, July.
    14. Chen, Chung-Jen & Huang, Jing-Wen, 2009. "Strategic human resource practices and innovation performance -- The mediating role of knowledge management capacity," Journal of Business Research, Elsevier, vol. 62(1), pages 104-114, January.
    15. Sisay Adugna Chala & Fazel Ansari & Madjid Fathi & Kea Tijdens, 2018. "Semantic matching of job seeker to vacancy: a bidirectional approach," International Journal of Manpower, Emerald Group Publishing Limited, vol. 39(8), pages 1047-1063, November.
    16. Margherita, Emanuele Gabriel & Braccini, Alessio Maria, 2021. "Managing industry 4.0 automation for fair ethical business development: A single case study," Technological Forecasting and Social Change, Elsevier, vol. 172(C).
    17. Alex Bryson & Erling Barth & Harald Dale-Olsen, 2013. "The Effects of Organizational Change on Worker Well-Being and the Moderating Role of Trade Unions," ILR Review, Cornell University, ILR School, vol. 66(4), pages 989-1011, July.
    18. Guy Michaels & Ashwini Natraj & John Van Reenen, 2014. "Has ICT Polarized Skill Demand? Evidence from Eleven Countries over Twenty-Five Years," The Review of Economics and Statistics, MIT Press, vol. 96(1), pages 60-77, March.
    19. Rezaei, Jafar, 2015. "Best-worst multi-criteria decision-making method," Omega, Elsevier, vol. 53(C), pages 49-57.
    20. Karrar Hameed Abdulkareem & Nureize Arbaiy & A. A. Zaidan & B. B. Zaidan & O. S. Albahri & M. A. Alsalem & Mahmood M. Salih, 2020. "A Novel Multi-Perspective Benchmarking Framework for Selecting Image Dehazing Intelligent Algorithms Based on BWM and Group VIKOR Techniques," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 19(03), pages 909-957, May.
    21. Kiel, Daniel & Arnold, Christian & Voigt, Kai-Ingo, 2017. "The influence of the Industrial Internet of Things on business models of established manufacturing companies – A business level perspective," Technovation, Elsevier, vol. 68(C), pages 4-19.
    22. Michela Piccarozzi & Barbara Aquilani & Corrado Gatti, 2018. "Industry 4.0 in Management Studies: A Systematic Literature Review," Sustainability, MDPI, vol. 10(10), pages 1-24, October.
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