Preprint Article Version 1 This version is not peer-reviewed

Synergetic Evaluation of Project Portfolio Configuration Based on Data Envelopment Analysis

Version 1 : Received: 16 September 2017 / Approved: 18 September 2017 / Online: 18 September 2017 (11:25:21 CEST)

How to cite: Bai, L.; Bai, S.; Zhai, T. Synergetic Evaluation of Project Portfolio Configuration Based on Data Envelopment Analysis. Preprints 2017, 2017090078 (doi: 10.20944/preprints201709.0078.v1). Bai, L.; Bai, S.; Zhai, T. Synergetic Evaluation of Project Portfolio Configuration Based on Data Envelopment Analysis. Preprints 2017, 2017090078 (doi: 10.20944/preprints201709.0078.v1).

Abstract

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

Subject Areas

project portfolio configuration; synergetic management; data envelopment analysis; efficiency evaluation

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