FAHP Sensitivity Analysis for Measurement Nonprofit Organizational Performance
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DOI: 10.1007/s11135-006-9046-2
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Cited by:
- Irina Vinogradova-Zinkevič, 2023. "Comparative Sensitivity Analysis of Some Fuzzy AHP Methods," Mathematics, MDPI, vol. 11(24), pages 1-41, December.
- Chia-Chin Chang & Shiu-Wan Hung & Sin-Yi Huang, 2013. "Evaluating the operational performance of knowledge-based industries: the perspective of intellectual capital," Quality & Quantity: International Journal of Methodology, Springer, vol. 47(3), pages 1367-1383, April.
- Martin Pech, 2010. "Application of fuzzy multicriteria decision making on the factors of corporate culture," Acta Universitatis Bohemiae Meridionales, University of South Bohemia in Ceske Budejovice, vol. 13(2), pages 93-104.
- Che-Wei Chang, 2014. "Develop a ranking algorithm for the green building project," Quality & Quantity: International Journal of Methodology, Springer, vol. 48(2), pages 911-921, March.
- Meng-Chuan Tsai & Chin-Tsai Lin, 2012. "Selecting an Optimal Region by Fuzzy Group Decision Making: Empirical Evidence from Medical Investors," Group Decision and Negotiation, Springer, vol. 21(3), pages 399-416, May.
- Shang, Delei & Yin, Guangzhi & Li, Xiaoshuang & Li, Yaoji & Jiang, Changbao & Kang, Xiangtao & Liu, Chao & Zhang, Chi, 2015. "Analysis for Green Mine (phosphate) performance of China: An evaluation index system," Resources Policy, Elsevier, vol. 46(P2), pages 71-84.
- Renato Civitillo & Paolo Ricci & Biagio Simonetti, 2019. "Management and performance of Non-Profit Institutions: finding new development trajectories—evidence from Italy," Quality & Quantity: International Journal of Methodology, Springer, vol. 53(5), pages 2275-2290, September.
- 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.
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Keywords
organizational performance; nonprofit organizational performance measurement model; FAHP; Sensitivity Analysis; MCDM;All these keywords.
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