Multi-criteria Decision Analysis in Quantitative Research

Dźwigoł, Henryk

doi:10.29119/1641-3466.2023.184.6

Ten serwis zostanie wyłączony 2025-02-11.

Nowa wersja platformy, zawierająca wyłącznie zasoby pełnotekstowe, jest już dostępna.
Przejdź na https://bibliotekanauki.pl

Artykuł - szczegóły

Czasopismo

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

2023 | z. 184 Współczesne zarządzanie = Contemporary Management | 95-114

Tytuł artykułu

Multi-criteria Decision Analysis in Quantitative Research

Autorzy

Henryk Dźwigoł

Warianty tytułu

Języki publikacji

Abstrakty

Purpose: Paper provides an overview of the methodology and diverse applications of Multi-Criteria Decision Analysis MCDA. Also shows criteria and analytical activities in the process of quantitative scientific research. An approach to selecting the company's operating strategy and its strategic position in relation to the environment in which it operates is presented. A model approach to consumer behavior was assessed. Design/methodology/approach: It provides insights into weighting criteria, aggregating preferences, and sensitivity analysis. During the analysis of criteria and analytical activities, a broad literature review was used, comparing the most popular and most effective methods of operation. Findings: Verification problems of multi-criteria selection problems are the problem of practical identification of which elements of actual market behavior are equivalent to theoretical categories. It is also necessary to verify the regularities occurring in these behaviors by confronting them with the actual behavior of consumers and determining compliance with the regularities occurring in this course. Practical implications: Decision analysis can be used directly in solving problems with various decision-making contexts and in analytical work related to organizing objects or building a multi-criteria ranking. As MCDA continues to evolve in the quantitative research landscape, it remains central to facilitating informed decisions, accommodating trade-offs between criteria, and strengthening the rigour of quantitative analysis. Originality/value: The article defines the most important methods of consumer behavior and activities in enterprises, which behaviors and activities are conditioned by the external environment and market rules; highlights applications of MCDA in real-world problem solving. (original abstract)

Słowa kluczowe

Wielokryterialne podejmowanie decyzji Analiza wielokryterialna Metodologia badań Metody badawcze

Multiple-criteria decision making Multicriteria analysis Research methodology Research methods

Czasopismo

Zeszyty Naukowe. Organizacja i Zarządzanie / Politechnika Śląska

Rocznik

2023

Numer

z. 184 Współczesne zarządzanie = Contemporary Management

Strony

95-114

Opis fizyczny

Twórcy

autor

Henryk Dźwigoł

Silesian University of Technology

Bibliografia

1. Aguinis, H., Solarino, A.M. (2019). Transparency and replicability in qualitative research: The case of interviews with elite informants. Strategic Management Journal, 40(8), 1291-1315.
2. Ares, G., Varela, P. (Eds.). (2018). Methods in Consumer Research, Volume 1: New Approaches to Classic Methods. Amsterdam: Elsevier.
3. Ares, G., Varela, P. (Eds.) (2018). Methods in Consumer Research, Volume 2: Alternative Approaches and Special Applications. Amsterdam: Elsevier.
4. Aubert, A.H., Lienert, J., von Helversen, B. (2023). Gamified environmental multi-criteria decision analysis: information on objectives and range insensitivity bias. International Transactions in Operational Research, 30(6), 3738-3770.
5. Barnes, J.H. (1984). Cognitive biases and their impact on strategic planning. Strategic Management Journal, 5(2), 129-137.
6. Beach, D., Pedersen, R.B. (2016). Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing. Ann Arbor, Michigan: University of Michigan Press.
7. Becker, R.W., Jachstet, L.A., Dallegrave, A., Ruiz-Padillo, A., Zanella, R., Sirtori, C. (2021). Multi-criteria decision-making techniques associated with (Q)SAR risk assessment for ranking surface water microcontaminants identified using LC-QTOF MS. Science of The Total Environment, 797, Article 149002. https://doi.org/10.1016/j.scitotenv. 2021.149002.
8. Bettman, J.R. (1979). An Information Processing Theory of Consumer Choice. MA: Addison-Wesley, Reading.
9. Churchman, C.W., Ackoff, R.L. (1954). An approximate measure of value. Journal of the Operations Research Society of America, 2(2), pp. 172-187.
10. De Keyser, W., Peeters, P. (1996). A note on the use of PROMETHEE multicriteria methods. European Journal of Operational Research, 89(3), 457-461.
11. Drążek, Z., Niemczynowicz, B. (2003). Zarządzanie strategiczne przedsiębiorstwem. Warsaw: PWE.
12. Dul, J., Hak, T. (2008). Case Study Methodology in Business Research. London, UK: Butterworth-Heinemann.
13. Dyer, J., Nobeoka, K. (2000). Creating and Managing a High Performance Knowledge-Sharing Network: The Toyota Case. Strategic Management Journal, 21, 345-367.
14. Dźwigoł, H. (2001). Oddziałowy Rachunek Kosztów oraz model budżetowania kosztów w górnictwie węgla kamiennego. Konferencja naukowa. Reforma polskiego górnictwa węgla kamiennego. Zarządzanie innowacjami Politechnika Śląska, PAN, Państwowa Agencja Restrukturyzacji Górnictwa, pp. 11-21.
15. Dźwigoł, H. (2003). Studium zarządzania zmianami w zgrupowaniu kopalń węgla kamiennego. Zeszyty Naukowe. Organizacja i Zarządzanie/Politechnika Śląska, 14, 245-255.
16. Dźwigoł, H. (2009). Model restrukturyzacji organizacyjnej przedsiębiorstwa górniczego. Kwartalnik Naukowy Organizacja i Zarządzanie, 2(6), 25-43.
17. Dźwigoł, H. (2018). Współczesne procesy badawcze w naukach o zarządzaniu. Uwarunkowania metodyczne i metodologiczne. Warsaw: PWN.
18. Dźwigoł, H. (2019a). Research Methods and Techniques in New Management Trends: Research Results. Virtual Economics, 2(1), 31-48. https://doi.org/10.34021/ ve.2019.02.01(2).
19. Dźwigoł, H. (2019b). The Concept of the System Approach of the Enterprise Restructuring Process. Virtual Economics, 2(4), 46-70. https://doi.org/10.34021/ve.2019.02.04(3).
20. Dźwigoł, H. (2020). Methodological and Empirical Platform of Triangulation in Strategic Management. Academy of Strategic Management Journal, 19(4), 1-8.
21. Dźwigoł, H. (2021a). The Uncertainty Factor in the Market Economic System: The Microeconomic Aspect of Sustainable Development. Virtual Economics, 4(1), 98-117. https://doi.org/10.34021/ve.2021.04.01(5).
22. Dźwigoł, H. (2021b). Methodological Approach in Management and Quality Sciences. E3S Web of Conferences, 307, 01002. https://doi.org/10.1051/e3sconf/202130701002
23. Dźwigoł, H. (2022a). Research Methodology in Management Science: Triangulation. Virtual Economics, 5(1), 78-93. https://doi.org/10.34021/ve.2022.05.01(5).
24. Dźwigoł, H. (2022b). Comparing Idiographic and Nomothetic Approaches in Management Sciences Research. Virtual Economics, 5(4), 27-49. https://doi.org/10.34021/ ve.2022.05.04(2).
25. Dźwigoł, H. (2023). The Quality Determinants of the Research Process in Management Sciences. Virtual Economics, 6(2), 35-55. https://doi.org/10.34021/ve.2023.06.02(3).
26. Dźwigoł, H., Wolniak, R. (2018). Controlling in the Management Process of a Chemical Industry Production Company. Przemysl Chemiczny, 97(7), 1114-1116.
27. Dźwigoł, H., Aleinikova, O., Umanska, Y., Shmygol, N., Pushak, Y. (2019a). An Entrepreneurship Model for Assessing the Investment Attractiveness of Regions. Journal of Entrepreneurship Education, 22, 1-7.
28. Dźwigoł, H., Shcherbak, S., Semikina, M., Vinichenko, O., Vasiuta, V. (2019b). Formation of Strategic Change Management System at an Enterprise. Academy of Strategic Management Journal, 18(Special Iss.1), 1-8.
29. Dźwigol, H., Dźwigoł-Barosz, M., Zhyvko, Z., Miśkiewicz, R., Pushak, H. (2019c). Evaluation of the Energy Security as a Component of National Security of the Country. Journal of Security and Sustainability Issues, 8(3), 307--317.
30. Dźwigoł, H., Dźwigoł-Barosz, M., Kwilinski, A. (2020a). Formation of Global Competitive Enterprise Environment Based on Industry 4.0 Concept. International Journal of Entrepreneurship, 24(1), 1-5.
31. Dźwigoł, H., Dźwigoł-Barosz, M., Miskiewicz, R., Kwilinski, A. (2020b). Manager Competency Assessment Model in the Conditions of Industry 4.0. Entrepreneurship and Sustainability Issues, 7(4), 2630-2644.
32. Dźwigoł, H., Dźwigoł-Barosz, M. (2020). Sustainable Development of the Company on the Basis of Expert Assessment of the Investment Strategy. Academy of Strategic Management Journal, 19(5), 1-7.
33. Dźwigoł, H., Trushkina, N., Kwilinski, A. (2021). The Organizational and Economic Mechanism of Implementing the Concept of Green Logistics. Virtual Economics, 4(2), 41-75. https://doi.org/10.34021/ve.2021.04.02(3).
34. Dźwigoł, H., Trzeciak, M. (2023). Pragmatic Methodology in Management Science. Forum Scientiae Oeconomia, 11(1), 67-90. https://doi.org/10.23762/FSO_VOL11_NO1_4
35. Dźwigoł, H., Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023a). The Role of Environmental Regulations, Renewable Energy, and Energy Efficiency in Finding the Path to Green Economic Growth. Energies, 16(7), 3090. https://doi.org/10.3390/en16073090.
36. Dźwigoł, H., Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023b). Renewable Energy, Knowledge Spillover and Innovation: Capacity of Environmental Regulation. Energies, 16(3), 1117. https://doi.org/10.3390/en16031117.
37. Dźwigoł-Barosz, M., Dźwigoł, H. (2021). Managing Family Businesses in Light of Methodological Assumptions for Higher Education. E3S Web of Conferences, 307, 06003. https://doi.org/10.1051/e3sconf/202130706003.
38. Ehrenberg, A.S.C. (1991). New Brands and the Existing Market. Journal of the Market Research Society, 4(33), 285-299.
39. Edwards, W., Barron, F.H. (1994). SMART and SMARTER: Improved simple methods for multiattribute utility measurement. Organizational Behavior and Human Decision Processes, 60(3), 306-325.
40. Evans, M., Foxall, G., Jamal, A. (2009). Consumer Behaviour. New York: Wiley.
41. Figuera, J., Greco, S., Ehrott, M. (Eds.) (2005). Multiple Criteria Decision Analysis: State of the Art. Boston-Dordrecht-London: Springer-Verlag.
42. Gigerenzer, G., Todd, P.M. (1999). Simple heuristics that make us smart. Oxford: Oxford University Press.
43. Gephart, R.P. Jr (2004). From the editors. Qualitative Research and the Academy of Management Journal. Academy of Management Journal, 47(4), 454-462.
44. Gilovich, T., Griffin, D., Kahneman, D. (2002). Heuristic and biases: The psychology of intuitive judgment. Cambridge: Cambridge University Press.
45. Goodwin, P., Wright, G. (2011). Analiza decyzji. Warsaw: Wolters Kulwer Polska.
46. Gorecka, D. (2011). On the choice of method in multi-criteria decision aiding process concerning European project. Multiple Criteria Decision Making, 6, 81-103.
47. Graebner, M.E., Martin, J.A., Roundy, P.T. (2012). Qualitative data: cooking without a recipe. Strategic Organization, 10(3), 276-284.
48. Hammond, J.S., Keeney, R.L., Raiffa, H. (2002). Smart choices: A practical guide to making better decisions. New York: Broadway Books.
49. Harris, E.K. (2010). Customer Service. A Practical Approach. International Edition. London, UK: Pearson Higher Education.
50. Hawkins, D.I., Best, C.R. (2004). Consumer Behavior: Building Marketing Strategy. Boston: McGraw-Hill.
51. Heesterman, A.R. (1975). Modele prognostyczne w planowaniu gospodarki narodowej. Warsaw: PWN.
52. Hryhorak, M., Dźwigoł, H., Kwilinski, A., Trushkina, N., Ovdiienko, O. (2021). On the application of the concept of circular economy to ensure balanced sustainable development of the national logistics system in Ukraine. Intellectualization of Logistics and Supply Chain Management, 7-8, 6-25.
53. Islam, M.A., Widen, G. (2023). Bibliometric analysis of the VINE Journal of Information and Knowledge Management Systems: 2000-2020. VINE Journal of Information and Knowledge Management Systems, 53(3), 467-490. https://doi.org/10.1108/VJIKMS-07-2020-0126.
54. Kahnenman, D., Tversky, A. (2000). Choices, Values, and Frames. Cambridge: Cambridge University Press.
55. Keeney, R.L., Raiffa, H. (1976). Decision with multiple objectives: preferences and value trade-off. New York: Wiley.
56. Kiezel, E. (Ed.). (2010). The consumer and his behaviour on the European market. Warsaw: PWE.
57. Kharazishvili, Y., Kwilinski, A., Grishnova, O., Dźwigoł, H. (2020). Social Safety of Society for Developing Countries to Meet Sustainable Development Standards: Indicators, Level, Strategic Benchmarks (with Calculations Based on the Case Study of Ukraine). Sustainability (Switzerland), 12(21), 8953. https://doi.org/10.3390/su12218953.
58. Kogetsidis, H. (2023). Dealing with complexity - the contribution of problem structuring methods to management science. International Journal of Organizational Analysis. https://doi.org/10.1108/IJOA-01-2023-3562.
59. Krupski, R., Niemczyk, J., Stańczak-Hugiet, E. (2009). Koncepcje strategii organizacji. Warsaw: PWE.
60. Krzyżanowski, L.J. (1999). O podstawach kierowania organizacjami inaczej: paradygmaty - modele - metafory. Warsaw: PWN.
61. Kwilinski, A. (2023). E-Commerce and Sustainable Development in the European Union: A Comprehensive Analysis of SDG2, SDG12, and SDG13. Forum Scientiae Oeconomia, 11(3), 87-107. https://doi.org/10.23762/FSO_VOL11_NO3_5.
62. Kwilinski, A., Vyshnevskyi, O., Dźwigoł, H. (2020). Digitalization of the EU Economies and People at Risk of Poverty or Social Exclusion. Journal of Risk and Financial Management, 13(7), 142. https://doi.org/10.3390/jrfm13070142.
63. Kwilinski, A., Lyulyov, O., Pimonenko, T., Dźwigoł, H., Abazov, R., Pudryk, D. (2022a). International Migration Drivers: Economic, Environmental, Social, and Political Effects. Sustainability, 14(11), 6413. https://doi.org/10.3390/su14116413.
64. Kwilinski, A., Lyulyov, O., Dźwigoł, H., Vakulenko, I., Pimonenko, T. (2022b). Integrative Smart Grids' Assessment System. Energies, 15(2), 545. https://doi.org/10.3390/ en15020545.
65. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023a). Unlocking Sustainable Value through Digital Transformation: An Examination of ESG Performance. Information, 14(8), 444. https://doi.org/10.3390/info14080444.
66. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023b). Inclusive Economic Growth: Relationship between Energy and Governance Efficiency. Energies, 16(6), 2511. https://doi.org/10.3390/en16062511.
67. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023c). Greenfield Investment as a Catalyst of Green Economic Growth. Energies, 16(5), 2372. https://doi.org/10.3390/en16052372.
68. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023d). Environmental Sustainability within Attaining Sustainable Development Goals: The Role of Digitalization and the Transport Sector. Sustainability, 15(14), 11282. https://doi.org/10.3390/su151411282.
69. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023e). The Effects of Urbanisation on Green Growth within Sustainable Development Goals. Land, 12(2), 511. https://doi.org/10.3390/land12020511.
70. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023f). The Impact of Digital Business on Energy Efficiency in EU Countries. Information, 14(9), 480. https://doi.org/10.3390/ info14090480.
71. Kwilinski, A., Lyulyov, O., Pimonenko, T. (2023g). Spillover Effects of Green Finance on Attaining Sustainable Development: Spatial Durbin Model. Computation, 11(10), 199. https://doi.org/10.3390/computation11100199.
72. Lange, O. (1952). Teoria statystyki. Warsaw: PWN.
73. Lange, O. (1978). Ekonomia polityczna. Warsaw: PWN.
74. Lambkin, M., Foxall, G., van Raaij, F., Heilbrunn, B. (2001). European Perspective on Customer Behaviour. London, UK: Prentice Hall Europe.
75. Lisiński, M. (2004). Metody planowania strategicznego. Warsaw: PWE.
76. Meißner, M., Oll, J. (2019). The Promise of Eye-Tracking Methodology in Organizational Research: A Taxonomy, Review, and Future Avenues. Organizational Research Methods, 22(2), 590-617. https://doi.org/10.1177/1094428117744882.
77. Moskalenko, B., Lyulyov, O., Pimonenko, T., Kwilinski, A., Dźwigoł, H. (2022). Investment Attractiveness of the Country: Social, Ecological, Economic Dimension. International Journal of Environment and Pollution, 69(1-2), 80-98. https://dx.doi.org/10.1504/IJEP.2021.10050183.
78. Moszkowicz, M. (2000). Strategia przedsiębiorstwa okresu przemian. Warsaw: PWE.
79. Moszkowicz, M. (Ed.) (2005). Zarządzanie strategiczne. Systemowa koncepcja biznesu. Warsaw: PWE.
80. Mynarski, S. (1982). Modelowanie rynku w ujęciu systemowym. Warsaw: PWN.
81. Nowak, S. (1970). Metodologia badań socjologicznych. Warsaw: PWN.
82. Patil, S. (2016). Aditya: Research Methodology in Social Sciences. Nipa: New India Publishing Agency.
83. Peffers, K., Tuunanen, T., Rothenberger, M.A., Chatterjee, S. (2007). A Design Science Research Methodology for Information Systems Research. Journal of Management Information Systems, 24(3), 45-77, https://doi.org/10.2753/MIS0742-1222240302.
84. Phipps, R., Simmons, C. (2009). Understanding Consumers. Oxford: Butterworth Heinemann.
85. Raich, S., Birkinshaw, J., Probst, G., Tushman, M. (2009). Organizational Ambidexterity: Balancing Exploitation and Exploration for Sustained Performance. Organization Science, 20(4), 685-695.
86. Rajesh, R. (2023). An introduction to grey causal modelling (GCM): applications to manufacturing, supply chains, resilience, and sustainability. Artificial Intelligence Review, 56, 6267-6293. https://doi.org/10.1007/s10462-022-10314-1.
87. Raymond, M. (2003). Tomorrow People: Future Consumers and How to Read Them. New York: Financial Times Press.
88. Rezaei, J. (2016). Best-worst multi-criteria decision-making method: Some properties and a linear model. Omega (United Kingdom), 64, 126-130.
89. Rowe, H., Mason, R., Dickel, K. (1982). Strategic management and business policy. A Methodological Approach. Massachusetts: MIT.
90. Roy, B. (1996). Multicriteria methodology for decision aiding. Springer Science & Business Media. https://doi.org/10.1007/978-1-4757-2500-1.
91. Rudnicki, L. (1996). Zachowania konsumentów na rynku. Kraków: Academy of Economics in Krakow.
92. Saaty, T.L., Vargas, L.G. (2012). Models, methods, concepts & applications of the analytic hierarchy process. New York: Springer Science & Business Media.
93. Schiffman, L.G., Kanuk, L.L., Hansen, H. (2008). Consumer Behaviour: A European Outlook. London: Pearson.
94. Sheth, J.N., Newman, B.I., Gross, B.L. (1991). Consumption Values and Market Choices: Theory and Applications. Journal of Marketing Research, 29(4), 487-489.
95. Sieklicki, S., Tanev, S. (2021). From Description to Action: Actor-Network Theory and Innovation Management. International Journal of Innovation Management, 25(10), 2140006.
96. Silverman, D. (2008). Prowadzenie badań jakościowych. Warsaw: PWN.
97. Smyczek, S. (2007). Modele zachowań konsumentów na rynku usług finansowych. Katowice: Academy of Economics in Katowice.
98. Smyczek, S. (2016). Metodyczne aspekty budowy modeli zachowań konsumentów na rynku. In W. Czakon (Ed.), Podstawy metodologii badań w naukach o zarządzaniu (p. 348). Warsaw: PWN.
99. Solomon, M.R., Bamossy, G., Askegaard, S., Hogg, M.K. (2010). Consumer Behaviour. London: Pearson.
100. Stabryła, A. (2000). Zarządzanie strategiczne w teorii i praktyce firmy. Warsaw: PWN.
101. Swiatowy, G. (2006). Zachowania konsumentów. Warsaw: PWE.
102. Tandukar, S. (2018). Business Research Methodology. Munich: Grin Verlag.
103. Tight, M. (2017). Understanding Case Study Research: Small-scale Research with Meaning. London: Sage.
104. Trushkina, N., Dźwigoł, H., Serhieieva, O., Shkrygun, Y. (2020). Development of the Logistics 4.0 Concept in the Digital Economy. Economic Herald of the Donbas, 4(62), 85-96.
105. Wachowicz, T. (2016). Metody wielokryterialnej analizy decyzyjnej w ilościowych badaniach naukowych. In: W. Czakon (Ed.), Podstawy metodologii badań w naukach o zarządzaniu (p. 402). Warsaw: PWN.
106. Wątróbski, J., Jankowski, J., Ziemba, P., Karczmarczyk, A., Zioło, M. (2019). Generalised framework for multi-criteria method selection. Omega (United Kingdom), 86, 107-124.
107. Xiang, L., Hou, R. (2023). Research on Innovation Management of Enterprise Supply Chain Digital Platform Based on Blockchain Technology. Sustainability, 15(13), 10198. https://doi.org/10.3390/su151310198.
108. Yang, X., Chen, Z. (2023). A combined interval TOPSIS with multiple sensitivity strategies decision-making framework. Journal of Cleaner Production, 422, Article 138611.
109. Yin, R. (1984). Case Study Research: Design and Methods. Thousand Oaks, CA: Sage Publications.
110. Yin, M., Liu, L., Cheng, L., Li, Z., Tu, Y. (2024). A novel group multi-criteria sorting approach integrating social network analysis for ability assessment of health rumour-refutation accounts. Expert Systems with Applications, 238(Part B), Article 121894, https://doi.org/10.1016/j.eswa.2023.121894.

Typ dokumentu

Bibliografia

Identyfikatory

DOI

10.29119/1641-3466.2023.184.6

Identyfikator YADDA

bwmeta1.element.ekon-element-000171688766