确定合作伙伴选择因素对不同联盟或网络绩效的影响

C. Lehene
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引用次数: 0

摘要

本文研究了各合作伙伴选择因素与联盟绩效之间的关系。通过对在罗马尼亚运营的46家表现最佳的大中型公司提供的答案进行统计分析的平均数,我们发现两类合作伙伴选择因素(非公司和公司相关)都与卓越的联盟绩效相关。我们观察到公司相关因素对联盟绩效的影响略强。具体来说,我们发现,由于组织的战略联盟组合,对国家和地区问题的考虑仅与收入增长和新产品开发相关。相反,考虑行业问题的公司和组织报告了联盟绩效的所有六项指标(收入增长、竞争地位、客户满意度、运营改进、产品改进、新产品开发)的优异结果。此外,考虑合作伙伴属性也与联盟绩效的所有衡量指标相关,但有一个例外:客户满意度。然而,对联盟绩效影响最大的是公司和组织对合作伙伴选择过程的重视。这意味着在合作伙伴选择过程中投入的资源和注意力越多,所报告的联盟绩效越好。6个回归模型(针对宏观经济/非公司因素)和6个回归模型(针对公司相关因素)显著解释了公司间联盟绩效差异。本文对联盟文献中关于战略联盟或战略网络/集群设计与发展中联盟伙伴选择的研究做出了贡献。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
DETERMINING WHAT PARTNER SELECTION FACTORS MATTER FOR THE DIFFERENT ALLIANCE OR NETWORK PERFORMANCES
In this paper we investigate the relationship between various partner selection factors and the alliance performances. Through the mean of a statistical analysis of the answers provided by 46 best performers medium and large companies operating in Romania we found that both categories of partner selection factors (noncompany and company related) were associated with the superior alliance performances. We observed a slightly stronger effect for the company related factors on the alliance performances. Specifically, we found that the consideration of country and regional issues was associated only with revenues growth and new product development due to organization’s portfolio of strategic alliances. Instead, the companies and organizations considering industry issues reported superior results for all six measures of alliance performances (revenues growth, competitive position, customer satisfaction, operations improvement, product improvement, new product development). Moreover, the consideration of partner attributes was also associated with all measures of alliance performances with one exception: customer satisfaction. The strongest effect on alliance performances however, had the importance devoted by companies and organizations to the partner selection process. It means, more resources and attention devoted to the partner selection process better the alliance performances reported. Three regression models from six (for the macroeconomic/noncompany factors) and five regression models from six (for the company related factors) significantly explained the differences between the companies depending on their alliance performances. The paper contributes to the research conducted in the alliances’ literature regarding the alliance partner selection for the design and the development of strategic alliances or strategic networks/clusters.
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