How to cite this paper
Tarnanidis, T., Papathanasiou, J., Mareschal, B & Vlachopoulou, M. (2025). MCDM Review in marketing and managerial decisions: Practical implications and Future research.Management Science Letters , 15(1), 45-54.
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Abu Hasan, S., Annuar Farish, N. A., Teoh, Y. K., Mohd Nasir, D. S., & Ariffin, A. F. (2023). A Fuzzy Analytic Hierarchy Process (FAHP) application for multi-criteria purchase decisions regarding various brands of motorcycles. Journal of Computing Research and Innovation (JCRINN), 8(2), 226-234.
Adunlin, G., Diaby, V., & Xiao, H. (2015). Application of multicriteria decision analysis in health care: a systematic re-view and bibliometric analysis. Health Expect, 18(6), 1894-1905.
Afshari, A., & Khorsand, M. (2020). APPLICATION OF MULTI CRITERIA DECISION MAKING IN HEALTH CARE.
Akdeniz, M. B., Gonzalez-Padron, T., & Calantone, R. J. (2010). An integrated marketing capability benchmarking ap-proach to dealer performance through parametric and nonparametric analyses. Industrial marketing management, 39(1), 150-160.
Al-Dawalibi, A., Al-Dali, I. H., & Alkhayyal, B. A. (2020). Best marketing strategy selection using fractional factorial de-sign with analytic hierarchy process. MethodsX, 7, 100927.
Alias, M. A., Hashim, S. Z. M., & Samsudin, S. (2008). Multi criteria decision making and its applications: a literature re-view. Jurnal Teknologi Maklumat, 20(2), 129-152.
Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8, 19-32.
Arroyo-Cañada, F.-J., & Gil-Lafuente, J. (2019). A fuzzy asymmetric TOPSIS model for optimizing investment in online advertising campaigns. Operational Research, 19(3), 701-716.
Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information, 14(5), 285.
Ayhan, M. B. (2013). A fuzzy AHP approach for supplier selection problem: A case study in a Gear motor company. arXiv preprint arXiv:1311.2886.
Ayyildiz, E., Murat, M., Imamoglu, G., & Kose, Y. (2022). A novel hybrid MCDM approach to evaluate universities based on student perspective. Scientometrics.
Bączkiewicz, A., & Wątróbski, J. (2022). A Multi-Criteria Approach to Sustainable Energy Management Evaluation Fo-cusing on Renewable Energy Sources. Procedia Computer Science, 207, 4640-4650.
Baldi, M. S., & Cavallaro, F. (2022). A multicriteria approach to the market of electric/hybrid vehicles using TOPSIS method. In Artificial Intelligence and Economics: the Key to the Future (pp. 137-155): Springer.
Baourakis, G., Doumpos, M., Kalogeras, N., & Zopounidis, C. (2002). Multicriteria analysis and assessment of financial viability of agribusinesses: The case of marketing co‐operatives and juice‐producing companies. Agribusiness: An In-ternational Journal, 18(4), 543-558.
Belton, V., & Stewart, T. (2002). Multiple Criteria Decision Analysis: An Integrated Approach.
Bhanutej, J., & Rao, V. K. (2023). PRIORITIZATION OF FACTORS FOR IMPROVEMENT OF HEALTHCARE QUALI-TY. Journal of Research Administration, 5(2), 5542-5565.
Bhattacharyya, A., & Chakraborty, S. (2014). A DEA-TOPSIS-based approach for performance evaluation of Indian tech-nical institutes. Decision Science Letters, 3, 397-410.
Brans, J.-P., & De Smet, Y. (2016). PROMETHEE Methods. In S. Greco, M. Ehrgott, & J. R. Figueira (Eds.), Multiple Criteria Decision Analysis: State of the Art Surveys (pp. 187-219). New York, NY: Springer New York.
Brans, J. P. (1982). L’ingénièrie de la décision; Elaboration d’instruments d’aide à la décision. La méthode PROME-THEE. In R. Nadeau & M. Landry (Eds.), L’aide à la décision: Nature, Instruments et Perspectives d’Avenir (pp. 183-213). Canada, Québec: Presses de l’Université Laval.
Brans, J. P., & Mareschal, B. (1992). PROMETHEE V: MCDM problems with segmentation constraints. INFOR: Infor-mation Systems and Operational Research, 30(2), 85-96.
Brans, J. P., & Mareschal, B. (2005). Promethee Methods. In Multiple Criteria Decision Analysis: State of the Art Surveys (pp. 163-186). New York, NY: Springer New York.
Brans, J. P., & Vincke, P. (1985). A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making). Management Science, 31(6), 647-656.
Brauers, W. K., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition econ-omy. Control and cybernetics, 35(2), 445-469.
Brauers, W. K., & Zavadskas, E. K. (2009). Robustness of the Multi-Objective MOORA Method with a Test for the Facili-ties Sector. Technological and Economic Development of Economy, 15(2), 352-375.
Brown, S. M., & Wright, P. K. (1998). A progress report on the manufacturing analysis service, an internet-based refer-ence tool. Journal of Manufacturing Systems, 17(5), 389-398.
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
Cavallo, A., Ghezzi, A., & Balocco, R. (2019). Entrepreneurial ecosystem research: Present debates and future directions. International Entrepreneurship and Management Journal, 15(4), 1291-1321.
Chandrakar, R., & Limje, S. (2018). A hybrid of QFD and AHP-TOPSIS for Durg dumping waste projects.
Coban, A., Ertis, I. F., & Cavdaroglu, N. A. (2018). Municipal solid waste management via multi-criteria decision making methods: A case study in Istanbul, Turkey. Journal of Cleaner Production, 180, 159-167.
Dash, R., Samal, S., Dash, R., & Rautray, R. (2019). An integrated TOPSIS crow search based classifier ensemble: In ap-plication to stock index price movement prediction. Applied Soft Computing, 85, 105784.
Deng, J., Zhan, J., & Wu, W.-Z. (2022). A ranking method with a preference relation based on the PROMETHEE method in incomplete multi-scale information systems. Information Sciences, 608, 1261-1282.
Devi, D. K., & Wardhana, A. (2018). Analysis and design of the best suppliers selection case study: Department Store Ko-petri with the AHP and TOPSIS methods. International Journal of Computer Science and Mobile Computing, 7(6), 109-120.
Dhurkari, R. K. (2023). Strategic pricing decision using the analytic hierarchy process. Journal of Revenue and Pricing Management, 22(1), 85-100.
Dovlatova, K. J. (2022). Analyzing the Digital Marketing Strategies Role in Post Pandemic Recovery Period. Paper pre-sented at the International Conference on Theory and Applications of Fuzzy Systems and Soft Computing.
Emamat, M. S. M. M., Mota, C. M. d. M., Mehregan, M. R., Sadeghi Moghadam, M. R., & Nemery, P. (2022). Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context. Financial Innovation, 8(1), 1-35.
Fattoruso, G. (2022). Multi-Criteria Decision Making in Production Fields: A Structured Content Analysis and Implica-tions for Practice. Journal of Risk and Financial Management, 15(10), 431.
Frazão, T. D. C., Camilo, D. G. G., Cabral, E. L. S., & Souza, R. P. (2018). Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, 18(1), 90.
Garcia-Garcia, G. (2022). Using Multi-Criteria Decision-Making to optimise solid waste management. Current Opinion in Green and Sustainable Chemistry, 37, 100650.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets and Systems, 115(1), 45-65.
Ghaleb, A. M., Kaid, H., Alsamhan, A., Mian, S. H., & Hidri, L. (2020). Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process. Advances in Materials Science and Engineering, 2020, NA.
Goyal, A., Gupta, S., & Chauhan, A. K. (2022). Prioritizing the factors determining the quality in higher educational insti-tutions—An application of fuzzy analytic hierarchy process. Journal of Public Affairs, 22(4), e2647.
Hadipour, A., Rajaee, T., Hadipour, V., & seidirad, s. (2015). Multi-criteria decision-making model for wastewater reuse application: a case study from Iran. Desalination and water treatment.
Hang, L., Liu, D., & Xie, F. (2023). A Hybrid Model Using PCA and BP Neural Network for Time Series Prediction in Chinese Stock Market with TOPSIS Analysis. Scientific Programming, 2023.
Hessel, V., Escribà-Gelonch, M., Schmidt, S., Tran, N. N., Davey, K., Al-Ani, L. A., . . . Woo, M. W. (2023). Nanofood process technology: insights on how sustainability informs process design. ACS Sustainable Chemistry & Engineering, 11(31), 11437-11458.
Hsu, P.-F., & Tseng, Y.-J. (2016). Appling AHP and GRA for Selecting the Optimal Marketing Research Company. Jour-nal of Grey System, 19(4), 189-197.
Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: ten years of ap-plications and trends. Sci Total Environ, 409(19), 3578-3594.
Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & Op-erations Research, 20(8), 889-899.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Heidelberg: Springer.
Imanova, G. E. (2022). Difference Between Digital Marketing and Traditional Marketing Models. Paper presented at the International Conference on Theory and Applications of Fuzzy Systems and Soft Computing.
Ishizaka, A., & Siraj, S. (2018). Are multi-criteria decision-making tools useful? An experimental comparative study of three methods. European Journal of Operational Research, 264(2), 462-471.
Izadikhah, M., & Mirzaei, S. H. (2019). A new DEA-based voting method for ranking and evaluating the influence of e-marketing on bank performance. nternational Journal of Business Excellence, 199(4), 574-594.
Jacobides, M., MacDuffie, J., & Tae, C. (2015). Agency, Structure, and the Dominance of OEMs: Change and Stability in the Automotive Sector. Strategic Management Journal, 37.
Kahraman, C., Onar, S. C., ÖZTAYşI, B., ŞEKER, Ş., & KARAşAN, A. (2020). Integration of fuzzy AHP with other fuzzy multicriteria methods: a state of the art survey. Journal of Multiple-Valued Logic & Soft Computing, 35.
Karagiannis, R., & Karagiannis, G. (2023). Nonparametric estimates of price efficiency for the Greek infant milk market: Curing the curse of dimensionality with shannon entropy. Economic Modelling, 121, 106202.
Kayaa, N. S., Dengiz, O., & Dedeoğlu, M. (2022). Remote estimation of the relationship between erosion risk classes us-ing the Neutrosophic Fuzzy-AHP and RE-OSAVI for Sinop Province, Turkey.
Komari, A., Indrasari, L., Tripariyanto, A., & Rahayuningsih, S. (2020). Analysis of SWOT marketing strategies and 7P in-fluence on purchasing decision. Paper presented at the Journal of Physics: Conference Series.
Kowalski, A. F., Hawley, S. L., Hilton, E. J., Becker, A. C., West, A. A., Bochanski, J. J., & Sesar, B. (2009). M Dwarfs in Sloan Digital Sky Survey Stripe 82: Photometric Light Curves and Flare Rate Analysis. The Astronomical Journal, 138, 633-648.
Kuncova, M., & Seknickova, J. (2022). Two-stage weighted PROMETHEE II with results’ visualization. Central Europe-an journal of operations research, 30(2), 547-571.
Le Téno, J., & Mareschal, B. (1998). An interval version of PROMETHEE for the comparison of building products' design with ill-defined data on environmental quality. European Journal of Operational Research, 109(2), 522-529.
Lee, S.-H. (2010). Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance con-tribution in a university. Expert Systems with Applications, 37(7), 4941-4947.
Lenz, H.-J., & Ablovatski, A. (2006). MCDA—Multi-Criteria Decision Making in e-Commerce. In Decision Theory and Multi-Agent Planning (pp. 31-47): Springer.
Levac, D., Colquhoun, H., & O'Brien, K. K. (2010). Scoping studies: advancing the methodology. Implementation Science, 5(1), 69.
Lévay, P. Z., Drossinos, Y., & Thiel, C. (2017). The effect of fiscal incentives on market penetration of electric vehicles: A pairwise comparison of total cost of ownership. Energy Policy, 105, 524-533.
Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors influencing consumer intentions to adopt battery elec-tric vehicles. Renewable and Sustainable Energy Reviews, 78, 318-328.
Lin, C.-T., & Wu, C.-S. (2008). Selecting a marketing strategy for private hotels in Taiwan using the analytic hierarchy process. The Service Industries Journal, 28(8), 1077-1091.
Madden, S., Alles, K., & Demirel, Y. (2021). Measuring sustainability of renewable diesel production using a multi‐criteria decision matrix. Biofuels, Bioproducts and Biorefining, 15(6), 1621-1637.
Maity, M., Mondal, J., Das, S., & Das, S. (2023). ANP–MOORA-Based Approach for Selection of FDM 3D Printer Fila-ment. In Advances in Additive Manufacturing and Metal Joining: Proceedings of AIMTDR 2021 (pp. 29-42): Springer.
Majumder, P., Majumder, M., Saha, A. K., Sarkar, K., & Nath, S. (2019). Real time reliability monitoring of hydro‐power plant by combined cognitive decision‐making technique. International Journal of Energy Research, 43(9), 4912-4939.
Mak, S., & Thomas, A. (2022). An Introduction to Scoping Reviews. Journal of Graduate Medical Education, 14(5), 561-564.
Malik, D. A. A., Yusof, Y., & Khalif, K. M. N. i. K. (2021). A view of MCDM application in education. Journal of Phys-ics: Conference Series, 1988(1), 012063.
Mareschal, B., Brans, J. P., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria anal-ysis. Retrieved from
Mareschal, B., & Mertens, D. (1992). BANKS a multicriteria, PROMETHEE-based, decision support system for the eval-uation of the international banking sector. Journal of decision systems, 1(2-3), 175-189.
Mareschal, B., & Tsaples, G. (2021). The History and Future of PROMETHEE. In J. Papathanasiou, P. Zaraté, & J. Freire de Sousa (Eds.), EURO Working Group on DSS: A Tour of the DSS Developments Over the Last 30 Years (pp. 259-272). Cham: Springer International Publishing.
Mitra, S., Goswami, S. S., & Parvej, M. (2019). Selection of the best laptop model by the application of fuzzy-ahp meth-odology. i-Manager's Journal on Management, 14(1), 33.
Montes, R., Sánchez, A. M., Villar, P., & Herrera, F. (2015). A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Applied Soft Computing, 35, 949-957.
Mumani, A. A., Magableh, G. M., & Mistarihi, M. Z. (2022). Decision making process in lean assessment and implemen-tation: a review. Management Review Quarterly, 72(4), 1089-1128.
Munn, Z., Peters, M. D., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping re-view? Guidance for authors when choosing between a systematic or scoping review approach. BMC medical research methodology, 18, 1-7.
Nguyen, T. A. V., Tucek, D., & Pham, N. T. (2023). Indicators for TQM 4.0 model: Delphi method and analytic hierarchy process (AHP) analysis. Total Quality Management & Business Excellence, 34(1-2), 220-234.
Oblena, D. J. S., & Anapi, G. R. (2023). Willingness to Adopt E-Commerce by Farmers in Naic, Cavite, as a Means for Sales during the COVID-19 Pandemic. Paper presented at the Biology and Life Sciences Forum.
Papathanasiou, J., & Ploskas, N. (2018). Multiple Criteria Decision Aid: Methods, Examples and Python Implementations. Cham: Springer International Publishing.
Pawar, S. S., & Verma, D. S. (2013). Digital camera evaluation base on AHP and TOPSIS. International Journal of Engi-neering Research, 2(2), 51-53.
Purwani, F. (2023). An Analytic Network Process Method Approach to Design Models of Lecturers Performance Evalua-tion. International Journal of Artificial Intelligence Research, 6(1.2).
Qin, Q. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. In (pp. 93-107).
Roy, B., & Vincke, P. (1981). Multicriteria analysis: survey and new directions. European Journal of Operational Re-search, 8(3), 207-218.
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281.
Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Saaty, T. L. (2005). Analytic Hierarchy Process. In Encyclopedia of Biostatistics.
Saaty, T. L. (2008). Decision Making with the Analytic Hierarchy Process. International Journal of Services Sciences, 1(1), 83-96.
Saaty, T. L. (2009). Applications of analytic network process in entertainment.
Sadeghian, R., & Sadeghian, M. R. (2016). A decision support system based on artificial neural network and fuzzy analyt-ic network process for selection of machine tools in a flexible manufacturing system. The International Journal of Ad-vanced Manufacturing Technology, 82, 1795-1803.
Samantraj, S., Dash, S., & Patnaik, P. K. (2020). Mobile device transmission security policy decision making using prome-thee. Paper presented at the Machine Learning and Information Processing: Proceedings of ICMLIP 2019.
Sandström, R. (1985). An approach to systematic materials selection. Materials & Design, 6(6), 328-338.
Santawy, M. F. E. (2015). A CV-COPRAS approach for solving multi-criteria decision making problems. Computing and Information Systems, 19, 15+.
Šaparauskas, J., Kazimieras Zavadskas, E., & Turskis, Z. (2011). Selection of Facade's Alternatives of Commercial and Public Buildings Based on Multiple Criteria. International Journal of Strategic Property Management, 15(2), 189-203.
Sheykhan, A., Zakeri, S., Abbasi, H., & Mousavi, M. H. (2014). A Proposed Framework for Selection and Prioritization of the Best Strategies: A Hybrid SWOT Analysis, Fuzzy PROMETHEE II and Porter's Generic Strategies. Research Jour-nal of Environmental and Earth Sciences, 6(6), 313-320.
Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy, 68, 183-194.
Štilić, A., & Puška, A. (2023). Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices. Eng, 4(2), 1536-1549.
Stolle, C. D., & Ljungdahl, P. W. (1974). Lower of cost or market decision matrix. The Accounting Review, 49(4), 841-843.
Stoycheva, S., Marchese, D., Paul, C., Padoan, S., Juhmani, A.-s., & Linkov, I. (2018). Multi-criteria decision analysis framework for sustainable manufacturing in automotive industry. Journal of Cleaner Production, 187, 257-272.
Taherdoost, H., & Madanchian, M. (2023). Multi-Criteria Decision Making (MCDM) Methods and Concepts. Encyclope-dia, 3(1), 77-87.
Tarnanidis, T. K., Papathanasiou, J., Vlachopoulou, M., & Mareschal, B. (2023). Review and the Use of PROMETHEE Methods in Marketing (Problems). In Influences of Social Media on Consumer Decision-Making Processes in the Food and Grocery Industry (pp. 196-212): IGI Global.
Ulutaş, A. (2017). Sewing machine selection for a textile workshop by using EDAS method. Journal of Business Research Turk, 9(2), 169-183.
Ustinovičius, L., & Jakučionis, S. (2000). Application of multicriteria decision methods in restoration of buildings in the Old Town. Statyba, 6(4), 227-236.
Vaillancourt, K., & Waaub, J.-P. (2004). Equity in international greenhouse gases abatement scenarios: A multicriteria approach. European Journal of Operational Research, 153(2), 489-505.
Wei, G.-W. (2010). GRA method for multiple attribute decision making with incomplete weight information in intuition-istic fuzzy setting. Knowledge-Based Systems, 23(3), 243-247.
Wind, Y., & Saaty, T. L. (1980). Marketing applications of the analytic hierarchy process. Management Science, 26(7), 641-658.
Yahya, K., Boussabaine, H., & Alzaed, A. N. (2016). Using life cycle assessment for estimating environmental impacts and eco-costs from the metal waste in the construction industry. Management of Environmental Quality: An Interna-tional Journal, 27(2), 227-244.
Yao, Z., Wu, X., Wu, Y., & Wen, X. (2023). Enhancing Industrial Design Competitiveness: Research and Application of a Machine Tool Industrial Design Decision-Making Method Based on Product Family Architecture and Systematic Evaluation. Applied Sciences, 13(21), 11831.
Yıldız, H., & Aybar, A. S. (2019). ReseaRches in economics, econometRics & Finance: IJOPEC PUBLICATION.
Yoon, K. P., & Kim, W. K. (2017). The behavioral TOPSIS. Expert Systems with Applications, 89, 266-272.
Youssef, M. I., & Webster, B. (2022). A multi-criteria decision making approach to the new product development process in industry. Reports in Mechanical Engineering, 3(1), 83-93.
Yu, Y., Hui, C.-L., & Choi, T.-M. (2012). An empirical study of intelligent expert systems on forecasting of fashion color trend. Expert Systems with Applications, 39(4), 4383-4389.
Yuksel, S., Dinçer, H., & Emir, S. (2018). Analysis of service innovation performance in Turkish banking sector using a combining method of fuzzy MCDM and text mining. MANAS Sosyal Araştırmalar Dergisi, 7(3).
Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Economic Development of Economy, 17(2), 397-427.
Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Tech-nological and Economic Development of Economy, 20(1), 165-179.
Zavadskas, E. K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of construction project managers by apply-ing COPRAS-G method. Computer Modelling and New Technologies, 12(3), 22-28.
Zeynali, M., Aghdaie, M., Rezaeiniya, N., & Sarfaraz, H. (2012). A hybrid fuzzy multiple criteria decision making (MCDM) approach to combination of materials selection. African Journal of Business Management, 6, 11171-11178.
Zhou, Y., Wang, M., Hao, H., Johnson, L., Wang, H., & Hao, H. (2015). Plug-in electric vehicle market penetration and incentives: a global review. Mitigation and Adaptation Strategies for Global Change, 20, 777-795.
Zhu, X., Meng, X., & Zhang, M. (2021). Application of multiple criteria decision making methods in construction: A sys-tematic literature review. Journal of Civil Engineering and Management, 27, 372+.
Zopounidis, C., Galariotis, E., Doumpos, M., Sarri, S., & Andriosopoulos, K. (2015). Multiple criteria decision aiding for finance: An updated bibliographic survey. European Journal of Operational Research, 247(2), 339-348.
Adunlin, G., Diaby, V., & Xiao, H. (2015). Application of multicriteria decision analysis in health care: a systematic re-view and bibliometric analysis. Health Expect, 18(6), 1894-1905.
Afshari, A., & Khorsand, M. (2020). APPLICATION OF MULTI CRITERIA DECISION MAKING IN HEALTH CARE.
Akdeniz, M. B., Gonzalez-Padron, T., & Calantone, R. J. (2010). An integrated marketing capability benchmarking ap-proach to dealer performance through parametric and nonparametric analyses. Industrial marketing management, 39(1), 150-160.
Al-Dawalibi, A., Al-Dali, I. H., & Alkhayyal, B. A. (2020). Best marketing strategy selection using fractional factorial de-sign with analytic hierarchy process. MethodsX, 7, 100927.
Alias, M. A., Hashim, S. Z. M., & Samsudin, S. (2008). Multi criteria decision making and its applications: a literature re-view. Jurnal Teknologi Maklumat, 20(2), 129-152.
Arksey, H., & O'Malley, L. (2005). Scoping studies: towards a methodological framework. International Journal of Social Research Methodology, 8, 19-32.
Arroyo-Cañada, F.-J., & Gil-Lafuente, J. (2019). A fuzzy asymmetric TOPSIS model for optimizing investment in online advertising campaigns. Operational Research, 19(3), 701-716.
Ayan, B., Abacıoğlu, S., & Basilio, M. P. (2023). A Comprehensive Review of the Novel Weighting Methods for Multi-Criteria Decision-Making. Information, 14(5), 285.
Ayhan, M. B. (2013). A fuzzy AHP approach for supplier selection problem: A case study in a Gear motor company. arXiv preprint arXiv:1311.2886.
Ayyildiz, E., Murat, M., Imamoglu, G., & Kose, Y. (2022). A novel hybrid MCDM approach to evaluate universities based on student perspective. Scientometrics.
Bączkiewicz, A., & Wątróbski, J. (2022). A Multi-Criteria Approach to Sustainable Energy Management Evaluation Fo-cusing on Renewable Energy Sources. Procedia Computer Science, 207, 4640-4650.
Baldi, M. S., & Cavallaro, F. (2022). A multicriteria approach to the market of electric/hybrid vehicles using TOPSIS method. In Artificial Intelligence and Economics: the Key to the Future (pp. 137-155): Springer.
Baourakis, G., Doumpos, M., Kalogeras, N., & Zopounidis, C. (2002). Multicriteria analysis and assessment of financial viability of agribusinesses: The case of marketing co‐operatives and juice‐producing companies. Agribusiness: An In-ternational Journal, 18(4), 543-558.
Belton, V., & Stewart, T. (2002). Multiple Criteria Decision Analysis: An Integrated Approach.
Bhanutej, J., & Rao, V. K. (2023). PRIORITIZATION OF FACTORS FOR IMPROVEMENT OF HEALTHCARE QUALI-TY. Journal of Research Administration, 5(2), 5542-5565.
Bhattacharyya, A., & Chakraborty, S. (2014). A DEA-TOPSIS-based approach for performance evaluation of Indian tech-nical institutes. Decision Science Letters, 3, 397-410.
Brans, J.-P., & De Smet, Y. (2016). PROMETHEE Methods. In S. Greco, M. Ehrgott, & J. R. Figueira (Eds.), Multiple Criteria Decision Analysis: State of the Art Surveys (pp. 187-219). New York, NY: Springer New York.
Brans, J. P. (1982). L’ingénièrie de la décision; Elaboration d’instruments d’aide à la décision. La méthode PROME-THEE. In R. Nadeau & M. Landry (Eds.), L’aide à la décision: Nature, Instruments et Perspectives d’Avenir (pp. 183-213). Canada, Québec: Presses de l’Université Laval.
Brans, J. P., & Mareschal, B. (1992). PROMETHEE V: MCDM problems with segmentation constraints. INFOR: Infor-mation Systems and Operational Research, 30(2), 85-96.
Brans, J. P., & Mareschal, B. (2005). Promethee Methods. In Multiple Criteria Decision Analysis: State of the Art Surveys (pp. 163-186). New York, NY: Springer New York.
Brans, J. P., & Vincke, P. (1985). A Preference Ranking Organisation Method: (The PROMETHEE Method for Multiple Criteria Decision-Making). Management Science, 31(6), 647-656.
Brauers, W. K., & Zavadskas, E. K. (2006). The MOORA method and its application to privatization in a transition econ-omy. Control and cybernetics, 35(2), 445-469.
Brauers, W. K., & Zavadskas, E. K. (2009). Robustness of the Multi-Objective MOORA Method with a Test for the Facili-ties Sector. Technological and Economic Development of Economy, 15(2), 352-375.
Brown, S. M., & Wright, P. K. (1998). A progress report on the manufacturing analysis service, an internet-based refer-ence tool. Journal of Manufacturing Systems, 17(5), 389-398.
Buckley, J. J. (1985). Fuzzy hierarchical analysis. Fuzzy Sets and Systems, 17(3), 233-247.
Cavallo, A., Ghezzi, A., & Balocco, R. (2019). Entrepreneurial ecosystem research: Present debates and future directions. International Entrepreneurship and Management Journal, 15(4), 1291-1321.
Chandrakar, R., & Limje, S. (2018). A hybrid of QFD and AHP-TOPSIS for Durg dumping waste projects.
Coban, A., Ertis, I. F., & Cavdaroglu, N. A. (2018). Municipal solid waste management via multi-criteria decision making methods: A case study in Istanbul, Turkey. Journal of Cleaner Production, 180, 159-167.
Dash, R., Samal, S., Dash, R., & Rautray, R. (2019). An integrated TOPSIS crow search based classifier ensemble: In ap-plication to stock index price movement prediction. Applied Soft Computing, 85, 105784.
Deng, J., Zhan, J., & Wu, W.-Z. (2022). A ranking method with a preference relation based on the PROMETHEE method in incomplete multi-scale information systems. Information Sciences, 608, 1261-1282.
Devi, D. K., & Wardhana, A. (2018). Analysis and design of the best suppliers selection case study: Department Store Ko-petri with the AHP and TOPSIS methods. International Journal of Computer Science and Mobile Computing, 7(6), 109-120.
Dhurkari, R. K. (2023). Strategic pricing decision using the analytic hierarchy process. Journal of Revenue and Pricing Management, 22(1), 85-100.
Dovlatova, K. J. (2022). Analyzing the Digital Marketing Strategies Role in Post Pandemic Recovery Period. Paper pre-sented at the International Conference on Theory and Applications of Fuzzy Systems and Soft Computing.
Emamat, M. S. M. M., Mota, C. M. d. M., Mehregan, M. R., Sadeghi Moghadam, M. R., & Nemery, P. (2022). Using ELECTRE-TRI and FlowSort methods in a stock portfolio selection context. Financial Innovation, 8(1), 1-35.
Fattoruso, G. (2022). Multi-Criteria Decision Making in Production Fields: A Structured Content Analysis and Implica-tions for Practice. Journal of Risk and Financial Management, 15(10), 431.
Frazão, T. D. C., Camilo, D. G. G., Cabral, E. L. S., & Souza, R. P. (2018). Multicriteria decision analysis (MCDA) in health care: a systematic review of the main characteristics and methodological steps. BMC Medical Informatics and Decision Making, 18(1), 90.
Garcia-Garcia, G. (2022). Using Multi-Criteria Decision-Making to optimise solid waste management. Current Opinion in Green and Sustainable Chemistry, 37, 100650.
Geldermann, J., Spengler, T., & Rentz, O. (2000). Fuzzy outranking for environmental assessment. Case study: iron and steel making industry. Fuzzy Sets and Systems, 115(1), 45-65.
Ghaleb, A. M., Kaid, H., Alsamhan, A., Mian, S. H., & Hidri, L. (2020). Assessment and Comparison of Various MCDM Approaches in the Selection of Manufacturing Process. Advances in Materials Science and Engineering, 2020, NA.
Goyal, A., Gupta, S., & Chauhan, A. K. (2022). Prioritizing the factors determining the quality in higher educational insti-tutions—An application of fuzzy analytic hierarchy process. Journal of Public Affairs, 22(4), e2647.
Hadipour, A., Rajaee, T., Hadipour, V., & seidirad, s. (2015). Multi-criteria decision-making model for wastewater reuse application: a case study from Iran. Desalination and water treatment.
Hang, L., Liu, D., & Xie, F. (2023). A Hybrid Model Using PCA and BP Neural Network for Time Series Prediction in Chinese Stock Market with TOPSIS Analysis. Scientific Programming, 2023.
Hessel, V., Escribà-Gelonch, M., Schmidt, S., Tran, N. N., Davey, K., Al-Ani, L. A., . . . Woo, M. W. (2023). Nanofood process technology: insights on how sustainability informs process design. ACS Sustainable Chemistry & Engineering, 11(31), 11437-11458.
Hsu, P.-F., & Tseng, Y.-J. (2016). Appling AHP and GRA for Selecting the Optimal Marketing Research Company. Jour-nal of Grey System, 19(4), 189-197.
Huang, I. B., Keisler, J., & Linkov, I. (2011). Multi-criteria decision analysis in environmental sciences: ten years of ap-plications and trends. Sci Total Environ, 409(19), 3578-3594.
Hwang, C.-L., Lai, Y.-J., & Liu, T.-Y. (1993). A new approach for multiple objective decision making. Computers & Op-erations Research, 20(8), 889-899.
Hwang, C. L., & Yoon, K. (1981). Multiple attribute decision making: Methods and applications. Heidelberg: Springer.
Imanova, G. E. (2022). Difference Between Digital Marketing and Traditional Marketing Models. Paper presented at the International Conference on Theory and Applications of Fuzzy Systems and Soft Computing.
Ishizaka, A., & Siraj, S. (2018). Are multi-criteria decision-making tools useful? An experimental comparative study of three methods. European Journal of Operational Research, 264(2), 462-471.
Izadikhah, M., & Mirzaei, S. H. (2019). A new DEA-based voting method for ranking and evaluating the influence of e-marketing on bank performance. nternational Journal of Business Excellence, 199(4), 574-594.
Jacobides, M., MacDuffie, J., & Tae, C. (2015). Agency, Structure, and the Dominance of OEMs: Change and Stability in the Automotive Sector. Strategic Management Journal, 37.
Kahraman, C., Onar, S. C., ÖZTAYşI, B., ŞEKER, Ş., & KARAşAN, A. (2020). Integration of fuzzy AHP with other fuzzy multicriteria methods: a state of the art survey. Journal of Multiple-Valued Logic & Soft Computing, 35.
Karagiannis, R., & Karagiannis, G. (2023). Nonparametric estimates of price efficiency for the Greek infant milk market: Curing the curse of dimensionality with shannon entropy. Economic Modelling, 121, 106202.
Kayaa, N. S., Dengiz, O., & Dedeoğlu, M. (2022). Remote estimation of the relationship between erosion risk classes us-ing the Neutrosophic Fuzzy-AHP and RE-OSAVI for Sinop Province, Turkey.
Komari, A., Indrasari, L., Tripariyanto, A., & Rahayuningsih, S. (2020). Analysis of SWOT marketing strategies and 7P in-fluence on purchasing decision. Paper presented at the Journal of Physics: Conference Series.
Kowalski, A. F., Hawley, S. L., Hilton, E. J., Becker, A. C., West, A. A., Bochanski, J. J., & Sesar, B. (2009). M Dwarfs in Sloan Digital Sky Survey Stripe 82: Photometric Light Curves and Flare Rate Analysis. The Astronomical Journal, 138, 633-648.
Kuncova, M., & Seknickova, J. (2022). Two-stage weighted PROMETHEE II with results’ visualization. Central Europe-an journal of operations research, 30(2), 547-571.
Le Téno, J., & Mareschal, B. (1998). An interval version of PROMETHEE for the comparison of building products' design with ill-defined data on environmental quality. European Journal of Operational Research, 109(2), 522-529.
Lee, S.-H. (2010). Using fuzzy AHP to develop intellectual capital evaluation model for assessing their performance con-tribution in a university. Expert Systems with Applications, 37(7), 4941-4947.
Lenz, H.-J., & Ablovatski, A. (2006). MCDA—Multi-Criteria Decision Making in e-Commerce. In Decision Theory and Multi-Agent Planning (pp. 31-47): Springer.
Levac, D., Colquhoun, H., & O'Brien, K. K. (2010). Scoping studies: advancing the methodology. Implementation Science, 5(1), 69.
Lévay, P. Z., Drossinos, Y., & Thiel, C. (2017). The effect of fiscal incentives on market penetration of electric vehicles: A pairwise comparison of total cost of ownership. Energy Policy, 105, 524-533.
Li, W., Long, R., Chen, H., & Geng, J. (2017). A review of factors influencing consumer intentions to adopt battery elec-tric vehicles. Renewable and Sustainable Energy Reviews, 78, 318-328.
Lin, C.-T., & Wu, C.-S. (2008). Selecting a marketing strategy for private hotels in Taiwan using the analytic hierarchy process. The Service Industries Journal, 28(8), 1077-1091.
Madden, S., Alles, K., & Demirel, Y. (2021). Measuring sustainability of renewable diesel production using a multi‐criteria decision matrix. Biofuels, Bioproducts and Biorefining, 15(6), 1621-1637.
Maity, M., Mondal, J., Das, S., & Das, S. (2023). ANP–MOORA-Based Approach for Selection of FDM 3D Printer Fila-ment. In Advances in Additive Manufacturing and Metal Joining: Proceedings of AIMTDR 2021 (pp. 29-42): Springer.
Majumder, P., Majumder, M., Saha, A. K., Sarkar, K., & Nath, S. (2019). Real time reliability monitoring of hydro‐power plant by combined cognitive decision‐making technique. International Journal of Energy Research, 43(9), 4912-4939.
Mak, S., & Thomas, A. (2022). An Introduction to Scoping Reviews. Journal of Graduate Medical Education, 14(5), 561-564.
Malik, D. A. A., Yusof, Y., & Khalif, K. M. N. i. K. (2021). A view of MCDM application in education. Journal of Phys-ics: Conference Series, 1988(1), 012063.
Mareschal, B., Brans, J. P., & Vincke, P. (1984). PROMETHEE: A new family of outranking methods in multicriteria anal-ysis. Retrieved from
Mareschal, B., & Mertens, D. (1992). BANKS a multicriteria, PROMETHEE-based, decision support system for the eval-uation of the international banking sector. Journal of decision systems, 1(2-3), 175-189.
Mareschal, B., & Tsaples, G. (2021). The History and Future of PROMETHEE. In J. Papathanasiou, P. Zaraté, & J. Freire de Sousa (Eds.), EURO Working Group on DSS: A Tour of the DSS Developments Over the Last 30 Years (pp. 259-272). Cham: Springer International Publishing.
Mitra, S., Goswami, S. S., & Parvej, M. (2019). Selection of the best laptop model by the application of fuzzy-ahp meth-odology. i-Manager's Journal on Management, 14(1), 33.
Montes, R., Sánchez, A. M., Villar, P., & Herrera, F. (2015). A web tool to support decision making in the housing market using hesitant fuzzy linguistic term sets. Applied Soft Computing, 35, 949-957.
Mumani, A. A., Magableh, G. M., & Mistarihi, M. Z. (2022). Decision making process in lean assessment and implemen-tation: a review. Management Review Quarterly, 72(4), 1089-1128.
Munn, Z., Peters, M. D., Stern, C., Tufanaru, C., McArthur, A., & Aromataris, E. (2018). Systematic review or scoping re-view? Guidance for authors when choosing between a systematic or scoping review approach. BMC medical research methodology, 18, 1-7.
Nguyen, T. A. V., Tucek, D., & Pham, N. T. (2023). Indicators for TQM 4.0 model: Delphi method and analytic hierarchy process (AHP) analysis. Total Quality Management & Business Excellence, 34(1-2), 220-234.
Oblena, D. J. S., & Anapi, G. R. (2023). Willingness to Adopt E-Commerce by Farmers in Naic, Cavite, as a Means for Sales during the COVID-19 Pandemic. Paper presented at the Biology and Life Sciences Forum.
Papathanasiou, J., & Ploskas, N. (2018). Multiple Criteria Decision Aid: Methods, Examples and Python Implementations. Cham: Springer International Publishing.
Pawar, S. S., & Verma, D. S. (2013). Digital camera evaluation base on AHP and TOPSIS. International Journal of Engi-neering Research, 2(2), 51-53.
Purwani, F. (2023). An Analytic Network Process Method Approach to Design Models of Lecturers Performance Evalua-tion. International Journal of Artificial Intelligence Research, 6(1.2).
Qin, Q. (2017). A TODIM-based multi-criteria group decision making with triangular intuitionistic fuzzy numbers. In (pp. 93-107).
Roy, B., & Vincke, P. (1981). Multicriteria analysis: survey and new directions. European Journal of Operational Re-search, 8(3), 207-218.
Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of Mathematical Psychology, 15(3), 234-281.
Saaty, T. L. (1980). The Analytic Hierarchy Process. New York: McGraw-Hill.
Saaty, T. L. (2005). Analytic Hierarchy Process. In Encyclopedia of Biostatistics.
Saaty, T. L. (2008). Decision Making with the Analytic Hierarchy Process. International Journal of Services Sciences, 1(1), 83-96.
Saaty, T. L. (2009). Applications of analytic network process in entertainment.
Sadeghian, R., & Sadeghian, M. R. (2016). A decision support system based on artificial neural network and fuzzy analyt-ic network process for selection of machine tools in a flexible manufacturing system. The International Journal of Ad-vanced Manufacturing Technology, 82, 1795-1803.
Samantraj, S., Dash, S., & Patnaik, P. K. (2020). Mobile device transmission security policy decision making using prome-thee. Paper presented at the Machine Learning and Information Processing: Proceedings of ICMLIP 2019.
Sandström, R. (1985). An approach to systematic materials selection. Materials & Design, 6(6), 328-338.
Santawy, M. F. E. (2015). A CV-COPRAS approach for solving multi-criteria decision making problems. Computing and Information Systems, 19, 15+.
Šaparauskas, J., Kazimieras Zavadskas, E., & Turskis, Z. (2011). Selection of Facade's Alternatives of Commercial and Public Buildings Based on Multiple Criteria. International Journal of Strategic Property Management, 15(2), 189-203.
Sheykhan, A., Zakeri, S., Abbasi, H., & Mousavi, M. H. (2014). A Proposed Framework for Selection and Prioritization of the Best Strategies: A Hybrid SWOT Analysis, Fuzzy PROMETHEE II and Porter's Generic Strategies. Research Jour-nal of Environmental and Earth Sciences, 6(6), 313-320.
Sierzchula, W., Bakker, S., Maat, K., & Van Wee, B. (2014). The influence of financial incentives and other socio-economic factors on electric vehicle adoption. Energy Policy, 68, 183-194.
Štilić, A., & Puška, A. (2023). Integrating Multi-Criteria Decision-Making Methods with Sustainable Engineering: A Comprehensive Review of Current Practices. Eng, 4(2), 1536-1549.
Stolle, C. D., & Ljungdahl, P. W. (1974). Lower of cost or market decision matrix. The Accounting Review, 49(4), 841-843.
Stoycheva, S., Marchese, D., Paul, C., Padoan, S., Juhmani, A.-s., & Linkov, I. (2018). Multi-criteria decision analysis framework for sustainable manufacturing in automotive industry. Journal of Cleaner Production, 187, 257-272.
Taherdoost, H., & Madanchian, M. (2023). Multi-Criteria Decision Making (MCDM) Methods and Concepts. Encyclope-dia, 3(1), 77-87.
Tarnanidis, T. K., Papathanasiou, J., Vlachopoulou, M., & Mareschal, B. (2023). Review and the Use of PROMETHEE Methods in Marketing (Problems). In Influences of Social Media on Consumer Decision-Making Processes in the Food and Grocery Industry (pp. 196-212): IGI Global.
Ulutaş, A. (2017). Sewing machine selection for a textile workshop by using EDAS method. Journal of Business Research Turk, 9(2), 169-183.
Ustinovičius, L., & Jakučionis, S. (2000). Application of multicriteria decision methods in restoration of buildings in the Old Town. Statyba, 6(4), 227-236.
Vaillancourt, K., & Waaub, J.-P. (2004). Equity in international greenhouse gases abatement scenarios: A multicriteria approach. European Journal of Operational Research, 153(2), 489-505.
Wei, G.-W. (2010). GRA method for multiple attribute decision making with incomplete weight information in intuition-istic fuzzy setting. Knowledge-Based Systems, 23(3), 243-247.
Wind, Y., & Saaty, T. L. (1980). Marketing applications of the analytic hierarchy process. Management Science, 26(7), 641-658.
Yahya, K., Boussabaine, H., & Alzaed, A. N. (2016). Using life cycle assessment for estimating environmental impacts and eco-costs from the metal waste in the construction industry. Management of Environmental Quality: An Interna-tional Journal, 27(2), 227-244.
Yao, Z., Wu, X., Wu, Y., & Wen, X. (2023). Enhancing Industrial Design Competitiveness: Research and Application of a Machine Tool Industrial Design Decision-Making Method Based on Product Family Architecture and Systematic Evaluation. Applied Sciences, 13(21), 11831.
Yıldız, H., & Aybar, A. S. (2019). ReseaRches in economics, econometRics & Finance: IJOPEC PUBLICATION.
Yoon, K. P., & Kim, W. K. (2017). The behavioral TOPSIS. Expert Systems with Applications, 89, 266-272.
Youssef, M. I., & Webster, B. (2022). A multi-criteria decision making approach to the new product development process in industry. Reports in Mechanical Engineering, 3(1), 83-93.
Yu, Y., Hui, C.-L., & Choi, T.-M. (2012). An empirical study of intelligent expert systems on forecasting of fashion color trend. Expert Systems with Applications, 39(4), 4383-4389.
Yuksel, S., Dinçer, H., & Emir, S. (2018). Analysis of service innovation performance in Turkish banking sector using a combining method of fuzzy MCDM and text mining. MANAS Sosyal Araştırmalar Dergisi, 7(3).
Zavadskas, E. K., & Turskis, Z. (2010). A new additive ratio assessment (ARAS) method in multicriteria decision‐making. Technological and Economic Development of Economy, 16(2), 159-172.
Zavadskas, E. K., & Turskis, Z. (2011). Multiple criteria decision making (MCDM) methods in economics: an overview. Technological and Economic Development of Economy, 17(2), 397-427.
Zavadskas, E. K., Turskis, Z., & Kildienė, S. (2014). State of art surveys of overviews on MCDM/MADM methods. Tech-nological and Economic Development of Economy, 20(1), 165-179.
Zavadskas, E. K., Turskis, Z., Tamosaitiene, J., & Marina, V. (2008). Selection of construction project managers by apply-ing COPRAS-G method. Computer Modelling and New Technologies, 12(3), 22-28.
Zeynali, M., Aghdaie, M., Rezaeiniya, N., & Sarfaraz, H. (2012). A hybrid fuzzy multiple criteria decision making (MCDM) approach to combination of materials selection. African Journal of Business Management, 6, 11171-11178.
Zhou, Y., Wang, M., Hao, H., Johnson, L., Wang, H., & Hao, H. (2015). Plug-in electric vehicle market penetration and incentives: a global review. Mitigation and Adaptation Strategies for Global Change, 20, 777-795.
Zhu, X., Meng, X., & Zhang, M. (2021). Application of multiple criteria decision making methods in construction: A sys-tematic literature review. Journal of Civil Engineering and Management, 27, 372+.
Zopounidis, C., Galariotis, E., Doumpos, M., Sarri, S., & Andriosopoulos, K. (2015). Multiple criteria decision aiding for finance: An updated bibliographic survey. European Journal of Operational Research, 247(2), 339-348.