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Leveraging the industry 4.0 technologies for improving agility of project procurement management processes

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Abstract

Recently, due to continually varying demands and shorter time to market, the existing Project Procurement Management (PPM) processes are incapable of coping up with the pace. There is a need of an agile model to manage procurement projects effectively. This article aims to developing strategies for executing the PPM processes with more agility by leveraging the capabilities and merits of industry 4.0 technologies along with selective Critical Success Factors (CSFs). For improving agility in PPM, this study identifies CSFs from the literature and experts’ review, the CSFs were then prioritized based on their significance, followed by establishing relationships and exploring interactions among CSFs using Total Interpretitive Structureal Modelling (TISM) and Fuzzy Cross-Impact Matrix Multiplication Applied to Classification (MICMAC). Furthermore, an agile project implementation plan was developed based on the findings of TISM and FuzzyMICMAC, which provides a systematic approach for strategically achieving the CSFs. Lastly, strategies were developed to improve agility in key processes of PPM by utilizing the new-age technologies Industry 4.0 like Internet of Things (IOT), Mobility, Business Intelligence, Blockchain, Chatbot, Robotic Process Automation (RPA) and other technologies. The strategies and the agile project implementation plan thus developed as an outcome of this research can be leveraged by industries of various domains for improving agility in any of their business processes.

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Acknowledgements

We are thankful to all the practitioners and experts who helped us for providing valuable inputs for validating and rating the CSFs and also helped in developing the TISM and Fuzzy MICMAC, which is the foundation of this research work. We are also thankful to the anonymous referees for their valuable feedback and constructive comments which helped to improve the structure and quality of this paper. We sincerely thank all the authors who have made sufficient literature available in this domain that helped us and kept us in the right direction. The product of this research paper would not be possible without all of them.

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  1. Department of Mechanical Engineering, Sardar Patel College of Engineering, Bhavan’s Campus, Andheri West, Mumbai, Maharashtra, 400058, India

    Santosh B. Rane & Yahya A. M. Narvel

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  1. Santosh B. Rane
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  2. Yahya A. M. Narvel
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Correspondence to Yahya A. M. Narvel.

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Appendix

Appendix

See Tables 3, 4, 5, 6, 7, 8, 9, 10, 11 and 12, Fig. 6 and Tables 13, 14, 15, 16 and 17

Table 3 Classification of experts based on role play
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Table 4 Classification of experts based on years of experience and professional designation of experts
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Table 5 Classification of experts based on industrial vertical
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Table 6 Experts’ response
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Table 7 Relation of CSF with agility implementation
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Table 8 Structural self-interaction matrix for CSFs
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Table 9 Initial reachability matrix
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Table 10 Final reachability matrix
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Table 11 abc
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Table 12 Level matrix for CSFs
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Fig. 6
figure 6

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Table 13 Possibility of numerical value of reachability
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Table 14 Binary interaction matrix
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Table 15 Binary direct relationship matrix
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Table 16 Fuzzy binary direct relationship matrix
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Table 17 Fuzzy stabilized matrix
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Rane, S.B., Narvel, Y.A.M. Leveraging the industry 4.0 technologies for improving agility of project procurement management processes. Int J Syst Assur Eng Manag 12, 1146–1172 (2021). https://doi.org/10.1007/s13198-021-01331-4

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