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A multi-criteria approach for managing inter-enterprise collaborative relationships


  • Verdecho, María-José
  • Alfaro-Saiz, Juan-Jose
  • Rodriguez-Rodriguez, Raul
  • Ortiz-Bas, Angel


Collaboration amongst enterprises is a common strategy used to increase competitiveness. Thus, enterprises that are collaborating need to define and use performance measurement/management frameworks composed of performance elements (objectives, performance indicators, etc.) that facilitate the management of their activity, as well as monitor their strategy and processes. There are many factors, e.g. trust, interoperability of Information Systems, etc. that need to be managed properly in order to support collaborative success. However, such factors and performance are not usually managed together. Furthermore, these factors and performance elements are interrelated but these influences are commonly overlooked. This paper aims to present an approach based on the Analytic Network Process (ANP) to manage collaborative relationships under an integrated approach by considering not only the inter-enterprise performance elements, but also the factors that influence collaboration. The approach is then applied to a collaborative enterprise network belonging to the renewable energy sector. With this innovative approach, enterprises will obtain significant information for the decision-making process, regarding which are the factors and performance elements that have the greatest impact on their competitiveness, and therefore should be prioritized.

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  • Verdecho, María-José & Alfaro-Saiz, Juan-Jose & Rodriguez-Rodriguez, Raul & Ortiz-Bas, Angel, 2012. "A multi-criteria approach for managing inter-enterprise collaborative relationships," Omega, Elsevier, vol. 40(3), pages 249-263.
  • Handle: RePEc:eee:jomega:v:40:y:2012:i:3:p:249-263 DOI: 10.1016/

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    Cited by:

    1. Andriosopoulos, Dimitrios & Gaganis, Chrysovalantis & Pasiouras, Fotios & Zopounidis, Constantin, 2012. "An application of multicriteria decision aid models in the prediction of open market share repurchases," Omega, Elsevier, vol. 40(6), pages 882-890.
    2. Feng, Bo & Lai, Fujun, 2014. "Multi-attribute group decision making with aspirations: A case study," Omega, Elsevier, vol. 44(C), pages 136-147.
    3. Theißen, Sebastian & Spinler, Stefan, 2014. "Strategic analysis of manufacturer-supplier partnerships: An ANP model for collaborative CO2 reduction management," European Journal of Operational Research, Elsevier, vol. 233(2), pages 383-397.
    4. Sun, Bingzhen & Ma, Weimin, 2015. "An approach to consensus measurement of linguistic preference relations in multi-attribute group decision making and application," Omega, Elsevier, vol. 51(C), pages 83-92.
    5. Guertler, Benjamin & Spinler, Stefan, 2015. "Supply risk interrelationships and the derivation of key supply risk indicators," Technological Forecasting and Social Change, Elsevier, vol. 92(C), pages 224-236.
    6. Calvete, Herminia I. & Galé, Carmen & Iranzo, José A., 2014. "Planning of a decentralized distribution network using bilevel optimization," Omega, Elsevier, vol. 49(C), pages 30-41.
    7. Guertler, Benjamin & Spinler, Stefan, 2015. "When does operational risk cause supply chain enterprises to tip? A simulation of intra-organizational dynamics," Omega, Elsevier, vol. 57(PA), pages 54-69.


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