1 Synergetic Evaluation of Project Portfolio Configuration Based 2 on Data Envelopment Analysis 3

نویسندگان

  • Libiao Bai
  • Sijun Bai
  • Tiantian Zhai
چکیده

Project portfolio configuration (PPC) is an important approach to maintain the sustainable 12 development of enterprises and achieve organizations’ strategy. However, the synergetic efficacy 13 of PPC which determines the degree of the project's strategic objectives achieved is a fuzzy problem 14 and hard to be measured. To solve this problem, this paper takes the data envelopment analysis 15 (DEA) as the tool to measure the efficacy of PPC under deterministic conditions. First, a portfolio 16 evaluation index system which takes financial indicators and non-financial indicators into 17 consideration is developed based on the review of the literature; Second, an evaluation model based 18 on DEA is built to reduce the number of decision making-unit with the perspective of synergetic 19 theory; Then, a computational experiment is studied to verify the feasibility of this proposed model. 20 The results of this computational experiment show that this model can effectively narrow scope of 21 decision-making, improve the decision-making level and provide a reference to decide the DEA 22 effective project portfolio decision-making unit. To our knowledge, this study is the first time to 23 apply the notion of synergetic efficacy and DEA to the PPC domain. It is hoped that this paper may 24 shed lights on any further study about PPC and enterprise competitiveness of sustainable 25 development. 26

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تاریخ انتشار 2017