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

  • Yusuf, Yahaya Y.
  • Musa, Ahmed
  • Dauda, Mohammed
  • El-Berishy, Nagham
  • Kovvuri, Dharma
  • Abubakar, Tijjani
Registered author(s):

    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.

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    File URL: http://www.sciencedirect.com/science/article/pii/S0925527313001746
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    Article provided by Elsevier in its journal International Journal of Production Economics.

    Volume (Year): 147 (2014)
    Issue (Month): PB ()
    Pages: 498-513

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    Handle: RePEc:eee:proeco:v:147:y:2014:i:pb:p:498-513
    Contact details of provider: Web page: http://www.elsevier.com/locate/ijpe

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    1. 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.
    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. 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.
    4. 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.
    5. 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.
    6. 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.
    7. Frank Moulaert & Farid Sekia, 2003. "Territorial Innovation Models: A Critical Survey," Regional Studies, Taylor & Francis Journals, vol. 37(3), pages 289-302.
    8. 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.
    9. 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.
    10. 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.
    11. 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.
    12. 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.
    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. Barlow, James, 2000. "Innovation and learning in complex offshore construction projects," Research Policy, Elsevier, vol. 29(7-8), pages 973-989, August.
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