|
1. Anderson, S. R., Kadirkamanathan, V., Chipperfield, A., Sharifi, V., &Swithenbank, J. (2005). Multi-objective optimization of operational variables in a waste incineration plant. Computers and Chemical Engineering, 29(5), 1121–1130. https://doi.org/10.1016/j.compchemeng.2004.12.001. 2. Alyamani, R., & Long, S. (2020). The application of fuzzy Analytic Hierarchy Process in sustainable project selection. Sustainability, 12(20), 8314. 3. Assi, M., & Haraty, R. A. (2018, November). A survey of the knapsack problem. In 2018 International Arab Conference on Information Technology (ACIT) (pp. 1-6). IEEE. 4. Arbolino, R., Boffardi, R., De Simone, L., & Ioppolo, G. (2021). Multi-objective optimization technique: A novel approach in tourism sustainability planning. Journal of Environmental Management, 285, 112016. 5. Awasthi, A., & Omrani, H. (2019). A goal-oriented approach based on fuzzy axiomatic design for sustainable mobility project selection. International Journal of Systems Science: Operations & Logistics, 6(1), 86-98. 6. Bakirli, B. B., Gencer, C., & Aydoğan, E. K. (2014). A combined approach for fuzzy multi-objective multiple knapsack problems for defence project selection. Journal of the Operational Research Society, 65(7), 1001-1016. 7. Baqeri, K., Mohammadi, E., & Gilani, M. (2019). Multi objective project portfolio selection. Journal of Project Management, 4(4), 249-256. 8. Beaujon, G. J., Marin, S. P., &McDonald, G. C. (2001). Balancing and optimizing a portfolio of R&D projects. Naval Research Logistics, 48(1), 18–40. https://doi.org/10.1002/1520-6750(200102)48:1<18::AID-NAV2>3.0.CO;2-7. 9. Bibliography Baysan, C., Burke, M., González, F., Hsiang, S., & Miguel, E. (2019). Non-economic factors in violence: Evidence from organized crime, suicides and climate in Mexico. Journal of Economic Behavior & Organization, 168, 434-452. 10. Calbert, G., Weir, T., Garanovich, I. L., & N Kuhn, C. C. (2022). A Temporal Knapsack Approach to Defence Portfolio Selection. In Evolutionary and Memetic Computing for Project Portfolio Selection and Scheduling (pp. 159-191). Springer, Cham. 11. Chang, P. T., & Lee, J. H. (2012). A fuzzy DEA and knapsack formulation integrated model for project selection. Computers & Operations Research, 39(1), 112-125. 12. Chen, H., Li, X. Y., Lu, X. R., Sheng, N., Zhou, W., Geng, H. P., & Yu, S. (2021). A multi-objective optimization approach for the selection of overseas oil projects. Computers & Industrial Engineering, 151, 106977. 13. Christian, B., &Cremaschi, S. (2018). A branch and bound algorithm to solve large-scale multistage stochastic programs with endogenous uncertainty. AIChE Journal, 64(4), 1262–1271. https://doi.org/10.1002/aic.16019. 14. Çoban, V. (2020). Solar energy plant project selection with AHP decision-making method based on hesitant fuzzy linguistic evaluation. Complex & Intelligent Systems, 6(3), 507-529. 15. Cummings, B. (2022). Can TCFD Solve the Tragedy of the Commons?. Journal of Financial Planning, 35(1), 22-22. 16. David, B., & Giordano-Spring, S. (2021). Climate Reporting Related to the TCFD Framework: An Exploration of the Air Transport Sector. Social and Environmental Accountability Journal, 1-20. 17. Dey, P. K. (2006). Integrated project evaluation and selection using multiple-attribute decision-making technique. International Journal of Production Economics, 103(1), 90-103. 18. Eccles, R. G., &Krzus, M. P. (2018). Why companies should report financial risks from climate change. MIT Sloan Management Review, 59(3). 19. Eccles, R. G., & Krzus, M. P. (2019). Implementing the task force on climate-related financial disclosures recommendations: An assessment of corporate readiness. Schmalenbach Business Review, 71(2), 287-293. 20. Farbotko, C. (2019). Global financial stability, rapid transition to a low-carbon economy and social justice: can climate-related financial risk disclosure do it all?. Australian Geographer, 50(3), 273-278. 21. Fréville, A. (2004). The multidimensional 0–1 knapsack problem: An overview. European Journal of Operational Research, 155(1), 1-21. 22. Gabriel, S. A., Ordóñez, J. F., & Faria, J. A. (e). No Title. Journal of Infrastructure Systems, 12(2), 112–120. (2006). 23. Galar, D., Darbari, J. D., Agarwal, V., Yadavalli, V. S., & Jha, P. C. (2017). A multi-objective fuzzy mathematical approach for sustainable reverse supply chain configuration. Journal of Transport and Supply Chain Management, 11(1), 1-12. 24. Ghorbani, S., & Rabbani, M. (2009). A new multi-objective algorithm for a project selection problem. Advances in Engineering Software, 40(1), 9-14. 25. Han, B., Zhang, X. X., & Yi, Y. (2019, June). Multi-criteria project selection using fuzzy preference relations based AHP and TOPSIS. In 2019 Chinese Control and Decision Conference (CCDC) (pp. 3809-3816). IEEE. 26. Ilhan, E., Krueger, P., Sautner, Z., & Starks, L. T. (2019). Institutional Investors' Views and Preferences on Climate Risk Disclosure (No. 19-66). Swiss Finance Institute. 27. Janssen, R., Van Herwijnen, M., Stewart, T. J., & Aerts, J. C. (2008). Multiobjective decision support for land-use planning. Environment and planning B: Planning and design, 35(4), 740-756. 28. Jian, J., Guo, Y., Jiang, L., An, Y., & Su, J. (2019). A multi-objective optimization model for green supply chain considering environmental benefits. Sustainability, 11(21), 5911. 29. Kalashnikov, V., Benita, F., López-Ramos, F., & Hernández-Luna, A. (2017). Bi-objective project portfolio selection in Lean Six Sigma. International Journal of Production Economics, 186, 81-88. 30. Khalili-Damghani, K., & Sadi-Nezhad, S. (2013). A decision support system for fuzzy multi-objective multi-period sustainable project selection. Computers & Industrial Engineering, 64(4), 1045-1060. 31. Khalili-Damghani, K., & Sadi-Nezhad, S. (2013). A hybrid fuzzy multiple criteria group decision making approach for sustainable project selection. Applied Soft Computing, 13(1), 339-352. 32. Khalilzadeh, M., & Salehi, K. (2017). A multi-objective fuzzy project selection problem considering social responsibility and risk. Procedia computer science, 121, 646-655. 33. Kudratova, S., Huang, X., & Zhou, X. (2018). Sustainable project selection: Optimal project selection considering sustainability under reinvestment strategy. Journal of Cleaner Production, 203, 469-481. 34. Kudratova, S., Huang, X., Kudratov, K., & Qudratov, S. (2020). Corporate sustainability and stakeholder value trade‐offs in project selection through optimization modeling: Application of investment banking. Corporate Social Responsibility and Environmental Management, 27(2), 815-824. 35. Lee, H. (2019). Project selection problems for production-inventory-distribution scheduling in manufacturing plants. Optimization Methods for Manufacturing, CRC Press, 3–1. 36. Li, A., Michaelides, M., Rose, M., & Garg, M. (2019). Climate‐related Risk and Financial Statements: Implications for Regulators, Preparers, Auditors and Users. Australian Accounting Review, 29(3), 599-605. 37. Liu, F., Chen, Y. W., Yang, J. B., Xu, D. L., & Liu, W. (2019). Solving multiple-criteria R&D project selection problems with a data-driven evidential reasoning rule. International Journal of Project Management, 37(1), 87-97. 38. Ma, J., Harstvedt, J. D., Jaradat, R., & Smith, B. (2020). Sustainability driven multi-criteria project portfolio selection under uncertain decision-making environment. Computers & Industrial Engineering, 140, 106236. 39. Maji, S. G., & Kalita, N. (2022). Climate change financial disclosure and firm performance: empirical evidence from Indian energy sector based on TCFD recommendations. Society and Business Review. 40. Mansouri, S. A., Lee, H., & Aluko, O. (2015). Multi-objective decision support to enhance environmental sustainability in maritime shipping: A review and future directions. Transportation Research Part E: Logistics and Transportation Review, 78, 3-18. 41. Mahmoudi, A., Deng, X., Javed, S. A., & Yuan, J. (2021). Large-scale multiple criteria decision-making with missing values: project selection through TOPSIS-OPA. Journal of Ambient Intelligence and Humanized Computing, 12(10), 9341-9362. 42. McMillan Jr, C., & Plane, D. R. (1973). EDUCATION: RESOURCE ALLOCATION DECISIONS VIA 0, 1 PROGRAMMING. Decision Sciences, 4(1), 119-132. 43. Meng, K., Lou, P., Peng, X., &Prybutok, V. (2017). Multi-objective optimization decision-making of quality dependent product recovery for sustainability. International Journal of Production Economics, 188(October 2016), 72–85. https://doi.org/10.1016/j.ijpe.2017.03.017 44. Nordhaus, W. D., & Moffat, A. (2017). A survey of global impacts of climate change: replication, survey methods, and a statistical analysis. 45. Pape, T., Kavadias, S., &Sommer, S. C. (2019). Decision Bias in Project Selection: Experimental Evidence from the Knapsack Problem. Ssrn. https://doi.org/10.2139/ssrn.3448676 46. Peihani, M. (2017). Disclosure of Climate-related Financial Information: Time for Canada to Act. 119, 12. 47. Petersen, C. C. (1967). Computational Experience with Variants of the Balas Algorithm Applied to the Selection of R&D Projects. Management Science, 13(9), 736–750. https://doi.org/10.1287/mnsc.13.9.736 48. Siew, R. (2020). Briefing: task force for climate financial disclosures (TCFD) for the property and construction industry. Sustainable Buildings, 5, 3. 49. Siew, R. Y. (2021). Task Force for Climate Financial Disclosures (TCFD): The Malaysian Case Study. Perceptions of Energy Resources Efficiency for Sustainable Development in the Developing Context of Nigeria: Implications for Enterprise Development in the Energy Sector, 69. 50. Singh, M., Rathi, R., Antony, J., & Garza-Reyes, J. A. (2021). Lean six sigma project selection in a manufacturing environment using hybrid methodology based on intuitionistic fuzzy MADM approach. IEEE Transactions on Engineering Management. 51. Shokrian, M., &High, K. A. (2014). An efficient multi criteria process optimization framework: Sustainable improvement of the Dimethyl Ether Process. Computers and Chemical Engineering, 60, 213–230. https://doi.org/10.1016/j.compchemeng.2013.09.011 52. Sueyoshi, T., & Goto, M. (2019). The intermediate approach to sustainability enhancement and scale-related measures in environmental assessment. European Journal of Operational Research, 276(2), 744-756. 53. Tan, Y. T., Shen, L. Y., Langston, C., & Liu, Y. (2010). Construction project selection using fuzzy TOPSIS approach. Journal of modelling in management. 54. Tankov, P., &Tantet, A. (2019). Climate Data for Physical Risk Assessment in Finance. SSRN Electronic Journal, 1–25. https://doi.org/10.2139/ssrn.3480156. 55. Tung, C. P., Tsao, J. H., Tien, Y. C., Lin, C. Y., &Jhong, B. C. (2019). Development of a novel climate adaptation algorithm for climate risk assessment. Water (Switzerland), 11(3), 1–17. https://doi.org/10.3390/w11030497. 56. Uuganbayar, G., Yautsiukhin, A., Martinelli, F., & Massacci, F. (2021). Optimisation of cyber insurance coverage with selection of cost effective security controls. Computers & Security, 101, 102121. 57. Wang, W., Chen, J., Liu, Q., & Guo, Z. (2018). Green project planning with realistic multi-objective consideration in developing sustainable port. Sustainability, 10(7), 2385. 58. Weingartner, H. M. (1967). Mathematical programming and the analysis of capital budgeting problemse. Markham Publishing Company. 59. Xu, C., Kohler, T. A., Lenton, T. M., Svenning, J. C., &Scheffer, M. (2020). Future of the human climate niche. Proceedings of the National Academy of Sciences of the United States of America, 117(21). https://doi.org/10.1073/pnas.1910114117. 60. Zarte, M., Pechmann, A., & Nunes, I. L. (2019). Decision support systems for sustainable manufacturing surrounding the product and production life cycle–A literature review. Journal of Cleaner Production, 219, 336-349. 61. Zenghelis, D., & Stern, N. (2016). The importance of looking forward to manage risks: submission to the Task Force on Climate-Related Financial Disclosures. 62. Zhou, C. C., Yin, G. F., & Hu, X. B. (2009). Multi-objective optimization of material selection for sustainable products: artificial neural networks and genetic algorithm approach. Materials & Design, 30(4), 1209-1215. 63. 氣候相關財務揭露建議發布日 氣候相關財務揭露建議繁體中文版發布日 2017 年 6 月 2019 年 10 月. 64. 鄭志強, 蔡麗敏, 徐作聖& 曾國雄. (2004). 模糊啟發式演算法則應用於低放射性廢棄物運送路線選擇之研究, 中華管理學報(5(1)), 41–56. 10.30053/CHJM.200403.0003.
|