Investment monitoring key points identification model of big science research infrastructures -- Fuzzy BWM-entropy-PROMETHEE Ⅱ method

Yunna Wu, Xingkai Yong, Yao Tao, Jianli Zhou, Jiaming He, Wenjun Chen and Yingying Yang

Socio-Economic Planning Sciences, 2023, vol. 86, issue C

Abstract: With the gradual development of science and technology, more and more countries regard big science research infrastructures (BSRIs) as the top priority in national development. However, the problem of out-of-control investment often occurs in the construction process of BSRIs, which leads to the loss of property and government credibility. Therefore, this paper carries out research on investment monitoring of BSRIs. The price of the contract signed in the process of engineering construction is taken as the investment monitoring point. And the investment monitoring key points are selected considering the monitoring cost. A three - stage index system of investment monitoring key points from the perspective of project life cycle is established. The generalized trapezoidal fuzzy number is used to describe the evaluation information. The entropy method and best-worst method are used to calculate the objective and subjective weights of indexes respectively. PROMETHEE Ⅱ is applied to rank alternative monitoring points. Finally, empirical research is carried out to verify the effectiveness and stability of the model. The comprehensive weights of contract amount, contractor performance, and adjacent contract payment unit investment amount are 28.83%, 18.81% and 15.05% respectively, which are the three most important indicators in the implementation stage.

Keywords: Big science research infrastructure; Investment monitoring; Multi-criteria decision-making; Best-worst method; PROMETTHE Ⅱ (search for similar items in EconPapers)
Date: 2023
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:soceps:v:86:y:2023:i:c:s0038012122002622

DOI: 10.1016/j.seps.2022.101461

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