A study on framework for effective R&amp;D performance analysis of Korea using the Bayesian network and pairwise comparison of AHP

Cho, Jaehyuk; Lee, Kil-Woo; Son, Hong-Min; Kim, Hyun-Sik

doi:10.1007/s11227-013-0876-0

Cited by 5 publications

(3 citation statements)

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“…Afterwards, Cho et al (2013) suggested a method for analyzing the R&D performance by combining analytical hierarchy process (AHP) and Bayesian network approach. The method, which uses input and output performance factors for performing quantitative analysis for projects, can be used as a performance analysis indicator.…”

Section: Theoretical Backgroundmentioning

confidence: 99%

A GIS-based DANP-VIKOR approach to evaluate R&D performance of Turkish cities

Özkan

Özceylan²,

Korkmaz

et al. 2019

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Purpose The purpose of this study is to measure the R&D performance of 81 cities in Turkey by using a scientific approach. Design/methodology/approach A four-step solution approach is developed for this problem. In the first step, a hierarchical structure of 14 indicators (including number of patents, publications, R&D expense, etc.) in three dimensions is constructed. In the second step, explicitly and implicitly spatial indicators such as university location and R&D manpower are mapped by using geographic information system (GIS). In the third step, a hybrid multi-criteria decision making model, namely, DANP that combines decision-making trial and evaluation laboratory (DEMATEL) and analytic hierarchy process (ANP) techniques is applied to assign different level of importance to the indicators. In the last step, Višekriterijumska Optimizacijai kompromisno Rešenje (VIKOR) method is used to rank the performance of 81 cities. Obtained results are visualized using GIS to show the pros and cons of each city in terms of R&D performance. Findings Results of the paper show that Istanbul, Ankara and Konya are ordered as contenders of best R&D performances and on the contrary, Igdir, Sirnak and Tunceli are ordered as the worst R&D performances among 81 cities. Research limitations/implications One limitation of the study can be the considered criteria. However, all the criteria are obtained from literature and experts; thus, the paper covers as much criteria as possible. Practical implications The proposed study may allow Ministry of Science, Industry and Technology of Turkey to formulate more effective strategies to improve cities’ R&D performance. In addition, any country can apply the same methodology for measuring the R&D performance of their cities by using their related data. As the worst R&D city performances belong to the eastern part of Turkey, it can be deducted that the socio-cultural structure of the eastern part of the country needs improvement. Originality/value To the best of the author’s knowledge, this is the first study which applies a GIS-based MCDM approach for R&D performance measurement. Thus, the value of this paper belongs to both literature and real life.

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Section: Theoretical Backgroundmentioning

confidence: 99%

A GIS-based DANP-VIKOR approach to evaluate R&D performance of Turkish cities

Özkan

Özceylan²,

Korkmaz

et al. 2019

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“…When the evaluation value of both A and B is bigger than 0.8 the two items have a synergy effect, while the opposite indicates that the two have a cancellation effect. Thus, Fuzzy measures is known as a measurement that can reflect the problem better compared to the general addition measurement in the decision making process [2].…”

Section: Ahp and Utilization Of Fuzzy Measurementmentioning

confidence: 99%

A Study of Methodology on Effective Feasibility Analysis Using Fuzzy & the Bayesian Network

Cho¹

2016

Advanced Science and Technology Letters

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This dissertation suggests the effective methodology for the feasibility analysis of R&D program by computing priority through an AHP (Analytical Hierarchy Process) expert survey and by applying a Fuzzy Measure whereby, through which, giving objectivity and eliminating the duplicated factors. And then, utilizing of the Bayesian Network can allow inference analyses. We can quantitatively define the satisfactory/unsatisfactory level of each program/project factor and each analysis factor by assigning probability values. It is possible to analyze the relationship between program/project evaluation results (qualitative result) and feasibility analysis factor (quantitative analysis). This feasibility analysis framework can infer posteriori probability using the prior probability and the likelihood function of each feasibility factor.

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“…Cho et al propose a framework for R&D performance evaluation. Their framework combines an Analytical Hierarchy Process (AHP) and Bayesian Network [16]. Liu and Hu use a tree-structured growing self-organizing maps (TGSOM) network and spatial data mining to measure the R&D performance [17].…”

Section: Introductionmentioning

confidence: 99%

Data-Driven Public R&D Project Performance Evaluation: Results from China

Yao

Yan

2021

Sustainability

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In public R&D projects, to improve the decision-making process and ensure the sustainability of public investment, it is indispensable to effectively evaluate the project performance. Currently, public R&D project management departments and various academic databases have accumulated a large number of project-related data. In view of this, we propose a data-driven performance evaluation framework for public R&D projects. In our framework, we collect structured and unstructured data related to completed projects from multiple websites. Then, these data are cleaned and fused to form a unified dataset. We train a project performance evaluation model by extracting the project performance information implicit in the dataset based on multi-classification supervised learning algorithms. When facing a new project that needs to be evaluated, its performance can be automatically predicted by inputting the characteristic information of the project into our performance evaluation model. Our framework is validated based on the project data of the National Natural Science Foundation of China (NSFC) in terms of four performance measures (i.e., Accuracy, Recall, Precision, F1 score). In addition, we provide a case study that applies our framework to evaluate the project performance in the logistics and supply chain area of NSFC. In conclusion, this paper contributes to the body of knowledge in sustainability by developing a data-driven method that equips the decision-maker with an automated project performance evaluation tool to make sustainable project decisions.

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A study on framework for effective R&D performance analysis of Korea using the Bayesian network and pairwise comparison of AHP

Cited by 5 publications

References 1 publication

A GIS-based DANP-VIKOR approach to evaluate R&D performance of Turkish cities

A GIS-based DANP-VIKOR approach to evaluate R&D performance of Turkish cities

A Study of Methodology on Effective Feasibility Analysis Using Fuzzy & the Bayesian Network

Data-Driven Public R&D Project Performance Evaluation: Results from China

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