Multi-criteria assessment of partnership components
Multi-criteria assessment of partnership components
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DOI：
10.1016/j.eswa.2016.08.006
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发表时间：
2016-12
期刊：
影响因子：
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通讯作者：
M. Piltan;T. Sowlati
中科院分区：
文献类型：
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作者：
M. Piltan;T. Sowlati
与其他组织的伙伴关系可以改善公司的业绩。然而，根据文献，合作伙伴关系的失败率很高。因此，监测伙伴关系的绩效并评估影响其绩效的组成部分至关重要。共同决策、信息共享、风险/回报共享、特定关系资产、信托和承诺被确定为影响持续伙伴关系绩效的主要组成部分。然而，之前没有一项研究评估了随着时间的推移，持续伙伴关系的组成部分。在这项研究中，提出了一个多准则决策支持模型来评估影响持续伙伴关系绩效的因素。每个组成部分都使用多个指标进行评估。各组成部分及其指标的相互依存性和重要性分别使用沃希尔算法和分析网络过程(ANP)纳入模型。每一构成部分和指标的重要性，以及每一时期伙伴关系构成部分总水平的单一数字，在此称为伙伴关系构成部分指数，是拟议模型的产出。PCI值是一个量化的多维指标。加拿大不列颠哥伦比亚省一家森林公司和一家锯木厂之间的合作伙伴关系被用作测试该模型的案例研究。在三个不同的时期使用项目管理方案对伙伴关系的组成部分进行了评估。结果得到了管理者的验证，并进行了敏感性分析。
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.