Multi-criteria assessment of partnership components

作者：Piltan Mehdi; Sowlati Taraneh^*

来源：Expert Systems with Applications, 2016, 64: 605-617.

DOI：10.1016/j.eswa.2016.08.006

• Partnership
• Multi-criteria decision making
• Analytic network process

Partnership with other organizations could improve companies' performance. However, partnerships have a high failure rate according to the literature. Therefore, monitoring the performance of a partnership and evaluating the components that affect its performance are essential. Joint decision-making, information sharing, risk/reward sharing, relationship-specific assets, trust and commitment are identified as the major components that affect the performance of an ongoing partnership. However, no previous study evaluated the components of an ongoing partnership over time. In this study, a multi-criteria decision support model is proposed to assess the components that influence the performance of an ongoing partnership. Multiple indicators are used to assess each component. The interdependency and importance of the components and their indicators are incorporated into the model using the Warshall's Algorithm and Analytic Network Process (ANP), respectively. The importance of each component and indicator, and a single number for the overall level of partnership components in each period, named as Partnership Component Index (PCI) here, are the outputs of the proposed model. PCI is a quantitative multi-dimensional index. A partnership between a forest company and a sawmill in British Columbia, Canada is used as a case study to test the model. The components of the partnership is assessed in three different periods using PCI. The results are validated by the managers and sensitivity analysis is also performed.

• 出版日期2016-12-1