IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v15y2023i21p15388-d1269252.html
   My bibliography  Save this article

Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach

Author

Listed:
  • Karishma M. Qureshi

    (Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia 391760, India)

  • Bhavesh G. Mewada

    (Department of Mechanical Engineering, Parul Institute of Technology, Parul University, Waghodia 391760, India)

  • Sumeet Kaur

    (Area the Quantitative Techniques and Operations Management, FORE School of Management, New Delhi 110016, India)

  • Saleh Yahya Alghamdi

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Naif Almakayeel

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Ali Saeed Almuflih

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

  • Mohamed Rafik Noor Mohamed Qureshi

    (Department of Industrial Engineering, College of Engineering, King Khalid University, Abha 61421, Saudi Arabia)

Abstract

The fourth industrial revolution brought a paradigm shift in the present manufacturing system and its supply chain management (SCM). The evolution of Industry 4.0 (I4.0) brought several disruptive technologies like cloud computing (CC), blockchain, the Internet of Things (IoT), cyber-physical systems (CPS), etc. These disruptive technologies have changed the face of the modern manufacturing system and its manufacturing supply chain (SC). Several changes in manufacturing in terms of lead time, cost reduction, agility, flexibility, and response to market sensitivity are seen in almost all types of manufacturing. I4.0’s disruptive technologies influence lean SC, agile SC, leagile SC, and green SC. The current study examines how I4.0 technologies affect society on such supply chains (SCs), which leads to enhanced performance of the manufacturing SC. The effect of process innovation (PI) resulting from I4.0 innovations is also investigated. SEM-PLS-based modeling is constructed based on 195 responses received from manufacturing enterprises implementing various SC practices in managing their manufacturing SCs. The findings demonstrate a favorable correlation between I4.0 technology and the enhancement of various SCs. The result also revealed that there is a positive impact of I4.0 technologies on PI, which leads to manufacturing SC performance improvements.

Suggested Citation

  • Karishma M. Qureshi & Bhavesh G. Mewada & Sumeet Kaur & Saleh Yahya Alghamdi & Naif Almakayeel & Ali Saeed Almuflih & Mohamed Rafik Noor Mohamed Qureshi, 2023. "Sustainable Manufacturing Supply Chain Performance Enhancement through Technology Utilization and Process Innovation in Industry 4.0: A SEM-PLS Approach," Sustainability, MDPI, vol. 15(21), pages 1-20, October.
  • Handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15388-:d:1269252
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/15/21/15388/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/15/21/15388/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Agarwal, Ashish & Shankar, Ravi & Tiwari, M.K., 2006. "Modeling the metrics of lean, agile and leagile supply chain: An ANP-based approach," European Journal of Operational Research, Elsevier, vol. 173(1), pages 211-225, August.
    2. Ashish Agarwal & Ravi Shankar, 2002. "Analyzing alternatives for improvement in supply chain performance," Work Study, Emerald Group Publishing Limited, vol. 51(1), pages 32-37, February.
    3. Katiyar, Rajesh & Meena, Purushottam L. & Barua, Mukesh Kumar & Tibrewala, Rajen & Kumar, Gopal, 2018. "Impact of sustainability and manufacturing practices on supply chain performance: Findings from an emerging economy," International Journal of Production Economics, Elsevier, vol. 197(C), pages 303-316.
    4. Patterson, Kirk A. & Grimm, Curtis M. & Corsi, Thomas M., 2003. "Adopting new technologies for supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 39(2), pages 95-121, March.
    5. Prasanta Kumar Dey & Chrisovalantis Malesios & Debashree De & Soumyadeb Chowdhury & Fouad Ben Abdelaziz, 2019. "Could lean practices and process innovation enhance supply chain sustainability of small and medium‐sized enterprises?," Business Strategy and the Environment, Wiley Blackwell, vol. 28(4), pages 582-598, May.
    6. Rashmi Ranjan Panigrahi & Avinash K. Shrivastava & Karishma M. Qureshi & Bhavesh G. Mewada & Saleh Yahya Alghamdi & Naif Almakayeel & Ali Saeed Almuflih & Mohamed Rafik N. Qureshi, 2023. "AI Chatbot Adoption in SMEs for Sustainable Manufacturing Supply Chain Performance: A Mediational Research in an Emerging Country," Sustainability, MDPI, vol. 15(18), pages 1-18, September.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Brusset, Xavier, 2016. "Does supply chain visibility enhance agility?," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 46-59.
    2. Vikash Sharma & Rakesh D. Raut & Sachin Kumar Mangla & Balkrishna E. Narkhede & Sunil Luthra & Ravindra Gokhale, 2021. "A systematic literature review to integrate lean, agile, resilient, green and sustainable paradigms in the supply chain management," Business Strategy and the Environment, Wiley Blackwell, vol. 30(2), pages 1191-1212, February.
    3. Christian Arnold & Kai-Ingo Voigt, 2019. "Determinants of Industrial Internet of Things Adoption in German Manufacturing Companies," International Journal of Innovation and Technology Management (IJITM), World Scientific Publishing Co. Pte. Ltd., vol. 16(06), pages 1-21, October.
    4. Sujan Piya & Ahm Shamsuzzoha & Mohammad Khadem & Nasr Al-Hinai, 2020. "Identification of Critical Factors and Their Interrelationships to Design Agile Supply Chain: Special Focus to Oil and Gas Industries," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(3), pages 263-281, September.
    5. Ganga, Gilberto Miller Devós & Carpinetti, Luiz Cesar Ribeiro, 2011. "A fuzzy logic approach to supply chain performance management," International Journal of Production Economics, Elsevier, vol. 134(1), pages 177-187, November.
    6. Choudhary, Devendra & Shankar, Ravi, 2012. "An STEEP-fuzzy AHP-TOPSIS framework for evaluation and selection of thermal power plant location: A case study from India," Energy, Elsevier, vol. 42(1), pages 510-521.
    7. F. Tao & Y. Cheng & L. Zhang & A. Y. C. Nee, 2017. "Advanced manufacturing systems: socialization characteristics and trends," Journal of Intelligent Manufacturing, Springer, vol. 28(5), pages 1079-1094, June.
    8. Renko, Sanda & Ficko, Dejan, 2010. "New logistics technologies in improving customer value in retailing service," Journal of Retailing and Consumer Services, Elsevier, vol. 17(3), pages 216-223.
    9. Lyons, Andrew Charles & Um, Juneho & Sharifi, Hossein, 2020. "Product variety, customisation and business process performance: A mixed-methods approach to understanding their relationships," International Journal of Production Economics, Elsevier, vol. 221(C).
    10. Hariyani, Dharmendra & Mishra, Sanjeev & Hariyani, Poonam & Sharma, Milind Kumar, 2023. "Drivers and motives for sustainable manufacturing system," Innovation and Green Development, Elsevier, vol. 2(1).
    11. Akhtar, Pervaiz & Khan, Zaheer & Tarba, Shlomo & Jayawickrama, Uchitha, 2018. "The Internet of Things, dynamic data and information processing capabilities, and operational agility," Technological Forecasting and Social Change, Elsevier, vol. 136(C), pages 307-316.
    12. Naim, Mohamed M. & Gosling, Jonathan, 2011. "On leanness, agility and leagile supply chains," International Journal of Production Economics, Elsevier, vol. 131(1), pages 342-354, May.
    13. Sangita Choudhary & Anil Kumar & Sunil Luthra & Jose Arturo Garza‐Reyes & Simon Peter Nadeem, 2020. "The adoption of environmentally sustainable supply chain management: Measuring the relative effectiveness of hard dimensions," Business Strategy and the Environment, Wiley Blackwell, vol. 29(8), pages 3104-3122, December.
    14. Juan A. Martínez-Román & Isidoro Romero, 2017. "Determinants of innovativeness in SMEs: disentangling core innovation and technology adoption capabilities," Review of Managerial Science, Springer, vol. 11(3), pages 543-569, July.
    15. Fink, Alexander A. & Klöckner, Maximilian & Räder, Tobias & Wagner, Stephan M., 2022. "Supply chain management accelerators: Types, objectives, and key design features," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    16. Hung M. Nguyen & George Onofrei & Dothang Truong & Simon Lockrey, 2020. "Customer green orientation and process innovation alignment: A configuration approach in the global manufacturing industry," Business Strategy and the Environment, Wiley Blackwell, vol. 29(6), pages 2498-2513, September.
    17. Thokozani Patmond Mbhele, 2014. "Antecedents of Quality Information Sharing in the FMCG Industry," Journal of Economics and Behavioral Studies, AMH International, vol. 6(12), pages 986-1003.
    18. Charles H. Cho & Robin Jarvis & Julia Roloff & Amama Shaukat, 2021. "Environmental responsibility and disclosures by SMEs: Issues, challenges, and future directions," Business Strategy and the Environment, Wiley Blackwell, vol. 30(1), pages 739-740, January.
    19. Kauremaa, Jouni & Kärkkäinen, Mikko & Ala-Risku, Timo, 2009. "Customer initiated interorganizational information systems: The operational impacts and obstacles for small and medium sized suppliers," International Journal of Production Economics, Elsevier, vol. 119(2), pages 228-239, June.
    20. Chand, Pushpendu & Thakkar, Jitesh J. & Ghosh, Kunal Kanti, 2020. "Analysis of supply chain sustainability with supply chain complexity, inter-relationship study using delphi and interpretive structural modeling for Indian mining and earthmoving machinery industry," Resources Policy, Elsevier, vol. 68(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jsusta:v:15:y:2023:i:21:p:15388-:d:1269252. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.