IDEAS home Printed from https://ideas.repec.org/a/eee/proeco/v147y2014ipbp498-513.html
   My bibliography  Save this article

A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains

Author

Listed:
  • Yusuf, Yahaya Y.
  • Musa, Ahmed
  • Dauda, Mohammed
  • El-Berishy, Nagham
  • Kovvuri, Dharma
  • Abubakar, Tijjani

Abstract

In the oil and gas industry, pressures persist on organisations to master and profit from the energy and allied environmental challenges facing the world. This can be achieved through enhanced operational efficiency, responsiveness, resilience and reliability characteristic of an agile organisation. These issues as well as the role of clusters as a strategy for economic exploitation of oil and gas resources are explored in this paper. Further, the paper looks at the diffusion of agility in the oil and gas industry and examines, empirically, the agility advantage, competitiveness gain and performance benefits of cluster members over non-members. Our results suggest that clusters enhance and enable higher levels of agile practices. However, whilst prior studies seem to suggest that clusters have positive impacts on competitiveness and performance, our findings indicate that there is no strong empirical basis to make a direct link between clusters and competitiveness, at least in the oil and gas industry. It follows from this that the universality of the attribution of competitiveness to clusters as espoused by the proponents of cluster theory is questionable and empirical evidence certainly does not support their position in the context of the oil and gas clusters.

Suggested Citation

  • Yusuf, Yahaya Y. & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham & Kovvuri, Dharma & Abubakar, Tijjani, 2014. "A study of the diffusion of agility and cluster competitiveness in the oil and gas supply chains," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 498-513.
  • Handle: RePEc:eee:proeco:v:147:y:2014:i:pb:p:498-513
    DOI: 10.1016/j.ijpe.2013.04.010
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0925527313001746
    Download Restriction: Full text for ScienceDirect subscribers only

    File URL: https://libkey.io/10.1016/j.ijpe.2013.04.010?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. van der Vaart, Taco & van Donk, Dirk Pieter, 2008. "A critical review of survey-based research in supply chain integration," International Journal of Production Economics, Elsevier, vol. 111(1), pages 42-55, January.
    2. Christian H.M. Ketels & Olga Memedovic, 2008. "From clusters to cluster-based economic development," International Journal of Technological Learning, Innovation and Development, Inderscience Enterprises Ltd, vol. 1(3), pages 375-392.
    3. Pearson, Michael & Masson, Ron & Swain, Anthony, 2010. "Process control in an agile supply chain network," International Journal of Production Economics, Elsevier, vol. 128(1), pages 22-30, November.
    4. Barlow, James, 2000. "Innovation and learning in complex offshore construction projects," Research Policy, Elsevier, vol. 29(7-8), pages 973-989, August.
    5. Carbonara, Nunzia & Giannoccaro, Ilaria & Pontrandolfo, Pierpaolo, 2002. "Supply chains within industrial districts: A theoretical framework," International Journal of Production Economics, Elsevier, vol. 76(2), pages 159-176, March.
    6. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2006. "Innovation in industrial districts: An agent-based simulation model," International Journal of Production Economics, Elsevier, vol. 104(1), pages 30-45, November.
    7. 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.
    8. Kisperska-Moron, Danuta & de Haan, Job, 2011. "Improving supply chain performance to satisfy final customers: "Leagile" experiences of a polish distributor," International Journal of Production Economics, Elsevier, vol. 133(1), pages 127-134, September.
    9. Frank Moulaert & Farid Sekia, 2003. "Territorial Innovation Models: A Critical Survey," Regional Studies, Taylor & Francis Journals, vol. 37(3), pages 289-302.
    10. Yusuf, Y. Y. & Gunasekaran, A. & Adeleye, E. O. & Sivayoganathan, K., 2004. "Agile supply chain capabilities: Determinants of competitive objectives," European Journal of Operational Research, Elsevier, vol. 159(2), pages 379-392, December.
    11. Costantino, Nicola & Dotoli, Mariagrazia & Falagario, Marco & Fanti, Maria Pia & Mangini, Agostino Marcello, 2012. "A model for supply management of agile manufacturing supply chains," International Journal of Production Economics, Elsevier, vol. 135(1), pages 451-457.
    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. Albino, Vito & Carbonara, Nunzia & Giannoccaro, Ilaria, 2007. "Supply chain cooperation in industrial districts: A simulation analysis," European Journal of Operational Research, Elsevier, vol. 177(1), pages 261-280, February.
    14. Muscio, Alessandro & Quaglione, Davide & Scarpinato, Michele, 2012. "The effects of universities' proximity to industrial districts on university–industry collaboration," China Economic Review, Elsevier, vol. 23(3), pages 639-650.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. 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.
    2. Annarelli, Alessandro & Nonino, Fabio, 2016. "Strategic and operational management of organizational resilience: Current state of research and future directions," Omega, Elsevier, vol. 62(C), pages 1-18.
    3. Sasan Torabzadeh Khorasani, 2018. "A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 239-253, September.
    4. Rivera, Liliana & Sheffi, Yossi & Knoppen, Desirée, 2016. "Logistics clusters: The impact of further agglomeration, training and firm size on collaboration and value added services," International Journal of Production Economics, Elsevier, vol. 179(C), pages 285-294.
    5. Pan, Lingying & Liu, Pei & Li, Zheng, 2017. "A system dynamic analysis of China’s oil supply chain: Over-capacity and energy security issues," Applied Energy, Elsevier, vol. 188(C), pages 508-520.

    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. Yusuf, Yahaya Y. & Gunasekaran, Angappa & Musa, Ahmed & Dauda, Mohammed & El-Berishy, Nagham M. & Cang, Shuang, 2014. "A relational study of supply chain agility, competitiveness and business performance in the oil and gas industry," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 531-543.
    2. Tortorella, Guilherme Luz & Miorando, Rogério & Marodin, Giuliano, 2017. "Lean supply chain management: Empirical research on practices, contexts and performance," International Journal of Production Economics, Elsevier, vol. 193(C), pages 98-112.
    3. Assadej Vanichchinchai, 2019. "The Effect of Lean Manufacturing on a Supply Chain Relationship and Performance," Sustainability, MDPI, vol. 11(20), pages 1-15, 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. 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.
    6. A. Noorul Haq & Varma Boddu, 2017. "Analysis of enablers for the implementation of leagile supply chain management using an integrated fuzzy QFD approach," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 1-12, January.
    7. Giulio Cainelli & Sandro Montresor & Giuseppe Vittucci Marzetti, 2013. "Production and financial linkages in inter-firm networks: structural variety, risk-sharing and resilience," Economic Complexity and Evolution, in: Andreas Pyka & Esben Sloth Andersen (ed.), Long Term Economic Development, edition 127, pages 113-136, Springer.
    8. Santosh B. Rane & Yahya A. M. Narvel, 2021. "Leveraging the industry 4.0 technologies for improving agility of project procurement management processes," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 12(6), pages 1146-1172, December.
    9. Qi, Yinan & Huo, Baofeng & Wang, Zhiqiang & Yeung, Hoi Yan Jeff, 2017. "The impact of operations and supply chain strategies on integration and performance," International Journal of Production Economics, Elsevier, vol. 185(C), pages 162-174.
    10. Dawei Lu & Yi Ding & Sobhan Asian & Sanjoy Kumar Paul, 2018. "From Supply Chain Integration to Operational Performance: The Moderating Effect of Market Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 3-20, March.
    11. Purvis, Laura & Gosling, Jonathan & Naim, Mohamed M., 2014. "The development of a lean, agile and leagile supply network taxonomy based on differing types of flexibility," International Journal of Production Economics, Elsevier, vol. 151(C), pages 100-111.
    12. Ponta, Linda & Puliga, Gloria & Lazzarotti, Valentina & Manzini, Raffaella & Cincotti, Silvano, 2023. "To copatent or not to copatent: An agent-based model for firms facing this dilemma," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1349-1363.
    13. Giannoccaro, Ilaria, 2015. "Adaptive supply chains in industrial districts: A complexity science approach focused on learning," International Journal of Production Economics, Elsevier, vol. 170(PB), pages 576-589.
    14. Ivanov, Dmitry & Sokolov, Boris & Kaeschel, Joachim, 2010. "A multi-structural framework for adaptive supply chain planning and operations control with structure dynamics considerations," European Journal of Operational Research, Elsevier, vol. 200(2), pages 409-420, January.
    15. Brusset, Xavier, 2016. "Does supply chain visibility enhance agility?," International Journal of Production Economics, Elsevier, vol. 171(P1), pages 46-59.
    16. Carmelina Bevilacqua & Ilaria Giada Anversa & Gianmarco Cantafio & Pasquale Pizzimenti, 2019. "Local Clusters as “Building Blocks” for Smart Specialization Strategies: A Dynamic SWOT Analysis Application in the Case of San Diego (US)," Sustainability, MDPI, vol. 11(19), pages 1-25, October.
    17. Federico Pablo-Marti & Juan Luis Santos & Antonio Gacía-Tabuenca & María Teresa Gallo & Tomás Mancha, 2012. "Forecasting and simulation of the impact of public policies on industrial districts using an agent-based model," ERSA conference papers ersa12p553, European Regional Science Association.
    18. Luca Fraccascia & Ilaria Giannoccaro & Vito Albino, 2017. "Efficacy of Landfill Tax and Subsidy Policies for the Emergence of Industrial Symbiosis Networks: An Agent-Based Simulation Study," Sustainability, MDPI, vol. 9(4), pages 1-18, March.
    19. Lu, Wenrong & McFarlane, Duncan & Giannikas, Vaggelis & Zhang, Quan, 2016. "An algorithm for dynamic order-picking in warehouse operations," European Journal of Operational Research, Elsevier, vol. 248(1), pages 107-122.
    20. Sasan Torabzadeh Khorasani, 2018. "A Robust Optimization Model for Supply Chain in Agile and Flexible Mode Based on Variables of Uncertainty," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(3), pages 239-253, September.

    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:eee:proeco:v:147:y:2014:i:pb:p:498-513. 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: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/ijpe .

    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.