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R&D project evaluation: An integrated DEA and balanced scorecard approach

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  1. Sungmin Park, 2015. "The R&D logic model: Does it really work? An empirical verification using successive binary logistic regression models," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1399-1439, December.
  2. Du, Juan & Liang, Liang & Chen, Yao & Bi, Gong-bing, 2010. "DEA-based production planning," Omega, Elsevier, vol. 38(1-2), pages 105-112, February.
  3. Kao, Chiang, 2008. "A linear formulation of the two-level DEA model," Omega, Elsevier, vol. 36(6), pages 958-962, December.
  4. Felicia Alina Dinu, 2017. "The Architecture of a Decision Support Software System for Sustainable Projects Selection," Global Economic Observer, "Nicolae Titulescu" University of Bucharest, Faculty of Economic Sciences;Institute for World Economy of the Romanian Academy, vol. 5(1), June.
  5. Li, Yan-Lai & Tang, Jia-Fu & Chin, Kwai-Sang & Jiang, Yu-Shi & Han, Yi & Pu, Yun, 2011. "Estimating the final priority ratings of engineering characteristics in mature-period product improvement by MDBA and AHP," International Journal of Production Economics, Elsevier, vol. 131(2), pages 575-586, June.
  6. Ulucan, AydIn & BarIs AtIcI, KazIm, 2010. "Efficiency evaluations with context-dependent and measure-specific data envelopment approaches: An application in a World Bank supported project," Omega, Elsevier, vol. 38(1-2), pages 68-83, February.
  7. Basso, Antonella & Casarin, Francesco & Funari, Stefania, 2018. "How well is the museum performing? A joint use of DEA and BSC to measure the performance of museums," Omega, Elsevier, vol. 81(C), pages 67-84.
  8. Amar Oukil & Srikrishna Madhumohan Govindaluri, 2020. "A hybrid multi‐attribute decision‐making procedure for ranking project proposals: A historical data perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 461-472, April.
  9. Lizarralde, Rafael & Ganzarain, Jaione & Zubizarreta, Mikel, 2022. "Adaptation of the MIVES method for the strategic selection of new technologies at an R&D centre. Focus on the manufacturing sector," Technovation, Elsevier, vol. 115(C).
  10. Ahti Salo & Antti Punkka, 2011. "Ranking Intervals and Dominance Relations for Ratio-Based Efficiency Analysis," Management Science, INFORMS, vol. 57(1), pages 200-214, January.
  11. Kübra Gürbüz & Erkan Erdil, 2021. "Prioritization and R&D Support Mechanisms: Turkish Case," Journal of the Knowledge Economy, Springer;Portland International Center for Management of Engineering and Technology (PICMET), vol. 12(2), pages 962-991, June.
  12. Chun, Dongphil & Hong, Sungjun & Chung, Yanghon & Woo, Chungwon & Seo, Hangyeol, 2016. "Influencing factors on hydrogen energy R&D projects: An ex-post performance evaluation," Renewable and Sustainable Energy Reviews, Elsevier, vol. 53(C), pages 1252-1258.
  13. Lu, Wen-Min & Kweh, Qian Long & Nourani, Mohammad & Huang, Feng-Wen, 2016. "Evaluating the efficiency of dual-use technology development programs from the R&D and socio-economic perspectives," Omega, Elsevier, vol. 62(C), pages 82-92.
  14. Dorota Kuchta, 2023. "Project implementation scenario selection for sustainable project and product lifecycle management. Application of network data envelopment analysis," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 33(4), pages 133-154.
  15. Kiwon Lee & Suchul Lee, 2021. "Knowledge Structure of the Application of High-Performance Computing: A Co-Word Analysis," Sustainability, MDPI, vol. 13(20), pages 1-20, October.
  16. Ekaterina Makarova & Anna Sokolova, 2012. "Foresight Evaluation: Lessons from Project Management," HSE Working papers WP BRP 01/MAN/2012, National Research University Higher School of Economics.
  17. Mathias Scheiblich & Mihaela Maftei & Vanessa Just & Michael Studeny, 2017. "Developing a Project Scorecard to Measure the Performance of Project Management in Relation to EFQM Excellence Model," The AMFITEATRU ECONOMIC journal, Academy of Economic Studies - Bucharest, Romania, vol. 19(S11), pages 966-966.
  18. Sara Fanati Rashidi, 2020. "Studying productivity using a synergy between the balanced scorecard and analytic network process," OPSEARCH, Springer;Operational Research Society of India, vol. 57(4), pages 1404-1421, December.
  19. Madjid Tavana & Kaveh Khalili-Damghani & Rahman Rahmatian, 2015. "A hybrid fuzzy MCDM method for measuring the performance of publicly held pharmaceutical companies," Annals of Operations Research, Springer, vol. 226(1), pages 589-621, March.
  20. Sabahi, Sima & Parast, Mahour Mellat, 2020. "The impact of entrepreneurship orientation on project performance: A machine learning approach," International Journal of Production Economics, Elsevier, vol. 226(C).
  21. Rafael Lizarralde & Jaione Ganzarain & Mikel Zubizarreta, 2020. "Assessment and Selection of Technologies for the Sustainable Development of an R&D Center," Sustainability, MDPI, vol. 12(23), pages 1-23, December.
  22. Madjid Tavana & Kaveh Khalili-Damghani & Amir-Reza Abtahi, 2013. "A fuzzy multidimensional multiple-choice knapsack model for project portfolio selection using an evolutionary algorithm," Annals of Operations Research, Springer, vol. 206(1), pages 449-483, July.
  23. Lin, Sin-Jin & Zeng, Jhih-Hong & Chang, Te-Min & Hsu, Ming-Fu, 2024. "Linguistic complexity consideration for advanced risk decision making and handling," Research in International Business and Finance, Elsevier, vol. 69(C).
  24. Oral, Muhittin, 2010. "E-DEA: Enhanced data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 207(2), pages 916-926, December.
  25. Seunghoon Lee & Young Hoon Lee & Yongho Choi, 2019. "Project Portfolio Selection Considering Total Cost of Ownership in the Automobile Industry," Sustainability, MDPI, vol. 11(17), pages 1-17, August.
  26. Zervopoulos, Panagiotis D. & Brisimi, Theodora S. & Emrouznejad, Ali & Cheng, Gang, 2016. "Performance measurement with multiple interrelated variables and threshold target levels: Evidence from retail firms in the US," European Journal of Operational Research, Elsevier, vol. 250(1), pages 262-272.
  27. Yu, Xinning & Lan, Yanfei & Zhao, Ruiqing, 2021. "Strategic green technology innovation in a two-stage alliance: Vertical collaboration or co-development?," Omega, Elsevier, vol. 98(C).
  28. Samoilenko, Sergey & Osei-Bryson, Kweku-Muata, 2013. "Using Data Envelopment Analysis (DEA) for monitoring efficiency-based performance of productivity-driven organizations: Design and implementation of a decision support system," Omega, Elsevier, vol. 41(1), pages 131-142.
  29. Avkiran, Necmi K. & Morita, Hiroshi, 2010. "Benchmarking firm performance from a multiple-stakeholder perspective with an application to Chinese banking," Omega, Elsevier, vol. 38(6), pages 501-508, December.
  30. Amado, Carla A.F. & Santos, Sérgio P. & Marques, Pedro M., 2012. "Integrating the Data Envelopment Analysis and the Balanced Scorecard approaches for enhanced performance assessment," Omega, Elsevier, vol. 40(3), pages 390-403.
  31. Dorota Kuchta & Dimitris Despotis & Kazimierz Frączkowski & Stanisław Stanek, 2019. "Application of data envelopment analysis to evaluation of IT project success," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(3), pages 17-36.
  32. Ekaterina Makarova & Anna Sokolova, 2012. "The Best Practices of Evaluating S&T Foresight: Basic Elements and Key Criteria," Foresight and STI Governance (Foresight-Russia till No. 3/2015), National Research University Higher School of Economics, vol. 6(3), pages 62-74.
  33. Chia-Hua Cheng & James J. H. Liou & Chui-Yu Chiu, 2017. "A Consistent Fuzzy Preference Relations Based ANP Model for R&D Project Selection," Sustainability, MDPI, vol. 9(8), pages 1-17, August.
  34. Liu, John S. & Lu, Wen-Min, 2010. "DEA and ranking with the network-based approach: a case of R&D performance," Omega, Elsevier, vol. 38(6), pages 453-464, December.
  35. Wang, Jue & Xu, Wei & Ma, Jian & Wang, Shouyang, 2013. "A vague set based decision support approach for evaluating research funding programs," European Journal of Operational Research, Elsevier, vol. 230(3), pages 656-665.
  36. Salimi, Negin & Rezaei, Jafar, 2018. "Evaluating firms’ R&D performance using best worst method," Evaluation and Program Planning, Elsevier, vol. 66(C), pages 147-155.
  37. Dalton Garcia Borges de Souza & Erivelton Antonio dos Santos & Nei Yoshihiro Soma & Carlos Eduardo Sanches da Silva, 2021. "MCDM-Based R&D Project Selection: A Systematic Literature Review," Sustainability, MDPI, vol. 13(21), pages 1-34, October.
  38. Partovi, Fariborz Y., 2011. "Corporate philanthropic selection using data envelopment analysis," Omega, Elsevier, vol. 39(5), pages 522-527, October.
  39. Kao, Chiang & Pao, Hwei-Lan, 2012. "Predicting project approvals: A case of grants from the National Science Council of Taiwan," Omega, Elsevier, vol. 40(1), pages 89-95, January.
  40. Wu, Cheng-Ru & Lin, Chin-Tsai & Tsai, Pei-Hsuan, 2010. "Evaluating business performance of wealth management banks," European Journal of Operational Research, Elsevier, vol. 207(2), pages 971-979, December.
  41. Qing He & Yaqin Liu & Qian Yu & Chao Wei, 2022. "Risk Dominance Analysis of R&D Investment Cooperation in Dynamic Option Game," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
  42. Xu, Yan & Yeh, Chung-Hsing, 2012. "An integrated approach to evaluation and planning of best practices," Omega, Elsevier, vol. 40(1), pages 65-78, January.
  43. Kun Chen & Xian-tong Ren & Guo-liang Yang & Hai-bo Qin, 2022. "The other side of the coin: The declining of Chinese social science," Scientometrics, Springer;Akadémiai Kiadó, vol. 127(1), pages 127-143, January.
  44. Vanhoucke, Mario, 2010. "Using activity sensitivity and network topology information to monitor project time performance," Omega, Elsevier, vol. 38(5), pages 359-370, October.
  45. Hongbo Li & Bowen Yao & Xin Yan, 2021. "Data-Driven Public R&D Project Performance Evaluation: Results from China," Sustainability, MDPI, vol. 13(13), pages 1-14, June.
  46. Seunghoon Lee & Yongju Cho & Minjae Ko, 2020. "Robust Optimization Model for R&D Project Selection under Uncertainty in the Automobile Industry," Sustainability, MDPI, vol. 12(23), pages 1-15, December.
  47. Milford, James & Henrion, Max & Hunter, Chad & Newes, Emily & Hughes, Caroline & Baldwin, Samuel F., 2022. "Energy sector portfolio analysis with uncertainty," Applied Energy, Elsevier, vol. 306(PA).
  48. Guido Capaldo & Vincenza Capone & Jolanta Babiak & Beata Bajcar & Dorota Kuchta, 2021. "Efficacy Beliefs, Empowering Leadership, and Project Success in Public Research Centers: An Italian–Polish Study," IJERPH, MDPI, vol. 18(13), pages 1-19, June.
  49. Xuefeng Zhang, 2019. "User selection for collaboration in product development based on QFD and DEA approach," Journal of Intelligent Manufacturing, Springer, vol. 30(5), pages 2231-2243, June.
  50. Sungjoo Lee & Chanwoo Cho & Jaehong Choi & Byungun Yoon, 2017. "R&D Project Selection Incorporating Customer-Perceived Value and Technology Potential: The Case of the Automobile Industry," Sustainability, MDPI, vol. 9(10), pages 1-18, October.
  51. Youchao Tan & Yang Zhang & Roohollah Khodaverdi, 2017. "Service performance evaluation using data envelopment analysis and balance scorecard approach: an application to automotive industry," Annals of Operations Research, Springer, vol. 248(1), pages 449-470, January.
  52. Dyckhoff, Harald & Souren, Rainer, 2022. "Integrating multiple criteria decision analysis and production theory for performance evaluation: Framework and review," European Journal of Operational Research, Elsevier, vol. 297(3), pages 795-816.
  53. García-Valderrama, Teresa & Mulero-Mendigorri, Eva & Revuelta-Bordoy, Daniel, 2009. "Relating the perspectives of the balanced scorecard for R&D by means of DEA," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1177-1189, August.
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