Sustainable Digital Performances of EU Countries: A CRITIC-ARAS and Clustering Approach
DOI:
https://doi.org/10.2298/YJOR250415013PKeywords:
Digital technology, circular economy, sustainability, MCDM, clusteringAbstract
The growing application of technology in industrial activities poses global ecological challenges in the form of resource depletion and raises awareness about the material reuse practice. Therefore the research focuses on prioritizing 25 EU nations according to their integration of digital technology (DT) in industry and the development of the circular economy (CE) as two important strategies towards sustainable development (SD). The author compared the ranking results from the CRITIC-ARAS multi-criteria model to assess the consistency between DT application in the industrial sector and CE practice in promoting SD. The sensitivity analysis of the proposed methodological scope was validated by MEREC and EDAS. Several hierarchical clusters of countries were generated according to SD scores. The research findings indicate a positive correlation between the application of DT and the current practice of CE. The top performers in achieving sustainable industrial development are the Netherlands, Germany, Belgium, Sweden and Italy. Romania, Bulgaria, Hungary and Greece achieve the weakest results. The paper proposes guidelines for enhancing SD which are important for future decision-making.
References
J. Potting, M. P. Hekkert, E. Worrell and A. Hanemaaijer, Circular economy: measuring innovation in the product chain. Planbureau voor de Leefomgeving, 2017 (2544). and
S. S. Kamble, A. Gunasekaran and S. A. Gawankar, “Sustainable Industry 4.0 framework: A systematic literature review identifying the current trends and future perspectives,“ Process Safety Environmental Protection, https://doi.org/10.1016/j.psep.2018.05.009 vol. 117, pp. 408-425, 2018.
G. Hondroyiannis, E. Sardianou, V. Nikou, K. Evangelinos and I. Nikolaou, “Circular economy and macroeconomic performance: Evidence across 28 European countries,“ Ecological Economics, vol. 215, p. 108002, 2024. https://doi.org/10.1016/j.ecolecon.2023.108002
M. Mohammadi, G. Rahmanifar, M. Hajiaghaei-Keshteli, G. Fusco and C. Colombaroni, “Industry 4.0 in waste management: An integrated IoT-based approach for facility location and green vehicle routing,“ Journal of Industrial Information Integration, vol. 36, p. 100535, 2023. https://doi.org/10.1016/j.jii.2023.100535
M. Draghi, The Future of European Competitiveness Part B: In-depth analysis and recommendations, 2024.
C. B. Satornino, S. Du and D. Grewal, “Using artificial intelligence to advance sustainable development in industrial markets: A complex adaptive systems perspective,“ Industrial Marketing Management, vol. 116, https://doi.org/10.1016/j.indmarman.2023.11.011 pp. 145-157, 2024.
A. G. Frank, L. S. Dalenogare and N. F. Ayala, “Industry 4.0 technologies: Implementation patterns in manufacturing companies,“ International Journal of Production Economics, vol. 210, pp. 15-26, 2019. https://doi.org/10.1016/j.ijpe.2019.01.004
A. de Mendonça Santos and Â. M. O. Sant’Anna, “Industry 4.0 technologies for sustainability within small and medium enterprises: A systematic literature review and future directions,“ Journal of Cleaner https://doi.org/10.1016/j.jclepro.2024.143023 Production, p. 143023, 2024.
J. Kopeinig, M. Woschank and N. Olipp, “Industry 4.0 Technologies and their Implications for Environmental Sustainability in the Manufacturing Industry,“ Procedia Computer Science, vol. 232, pp. 2777-2789, 2024. https://doi.org/10.1016/j.procs.2024.02.095
Z. Jan, F. Ahamed, W. Mayer, N. Patel, G. Grossmann, M. Stumptner and A. Kuusk, “Artificial intelligence for industry 4.0: Systematic review of applications, challenges, and opportunities,“ Expert Systems with Applications, vol. 216, p. 119456, 2023. https://doi.org/10.1016/j.eswa.2022.119456
M. A. Musarat, W. S. Alaloul, M. H. F. Khan, S. Ayub and C. P. L. Guy, “Evaluating cloud computing in construction projects to avoid project delay,“ Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 2, p. 100296, 2024. https://doi.org/10.1016/j.joitmc.2024.100296
M. Ghobakhloo and M. Fathi, “Industry 4.0 and opportunities for energy sustainability,“ Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2021.126427 vol. 295, p. 126427, 2021.
A. G. Mohapatra, A. Mohanty, N. R. Pradhan, S. N. Mohanty, D. Gupta, M. Alharbi, ... and A. Khanna, “An Industry 4.0 implementation of a condition monitoring system and IoT-enabled predictive maintenance scheme for diesel generators,“ Alexandria Engineering Journal, vol. 76, pp. 525-541, 2023. https://doi.org/10.1016/j.aej.2023.06.026 on
Y. Shang, S. Zhou, D. Zhuang, J. Żywiołek and H. Dincer, “The impact of artificial intelligence application enterprise microenterprises,“ Gondwana environmental Research, performance: vol. 131, https://doi.org/10.1016/j.gr.2024.02.012 pp. Evidence 181-195, from 2024.
C. P. Baldé, V. Forti, V. Gray, R., Kuehr and P. Stegmann, “The global e-waste monitor, United Nations University (UNU),“ International Telecommunication Union (ITU) & International Solid Waste Association (ISWA), Bonn/Geneva/Vienna, pp. 1-109, 2017.
S. Chatterjee, R. Chaudhuri, D. Vrontis and F. Jabeen, “Digital transformation of organization using AI-CRM: From microfoundational perspective with leadership support,“ Journal of Business Research, vol. 153, pp. 46-58, 2022. https://doi.org/10.1016/j.jbusres.2022.08.019
S. M. Hatefi, H. Asadi, G. Shams, J., Tamošaitienė and Z. Turskis, “Model for the sustainable material selection by applying integrated dempster-shafer evidence theory and additive ratio assessment (ARAS) method,“ Sustainability, vol. 13, no. 18, p. 10438, 2021. https://doi.org/10.3390/su131810438
A. Hashim, S. M. Faisal and A. K. Khan, “Analysis of green supplier using ARAS model integration in the decision-making process,“ Journal of Environmental Impact and Management Policy, vol. 3, no. 3, pp. 1-14, 2023. https://doi.org/10.55529/jeimp.33.1.14
H. M. A. Farid, S. Dabic-Miletic, M. Riaz, V. Simic and D. Pamucar, “Prioritization of sustainable approaches for smart waste management of automotive fuel cells of road freight vehicles using the q-rung orthopair fuzzy CRITIC-EDAS method,“ Information Sciences, vol. 661, p. 120162, 2024. https://doi.org/10.1016/j.ins.2024.120162
N. Alkan, “Evaluation of sustainable development and utilization-oriented renewable energy systems based on CRITIC-SWARA-CODAS method using interval valued picture fuzzy sets,“ Sustainable Energy, Grids and Networks, vol. 38, p. 101263, 2024. https://doi.org/10.1016/j.segan.2023.101263
A. Aytekin, B. O. Okoth, S. Korucuk, A. R. Mishra, S. Memiş, Ç., Karamaşa and E. B. Tirkolaee, “Critical success factors of lean six sigma to select the most ideal critical business process using q-ROF CRITIC-ARAS technique: Case study of food business,“ Expert Systems with Applications, vol. 224, p. 120057, 2023. https://doi.org/10.1016/j.eswa.2023.120057
M. S. Bhojane, S. C. Murmu, H. Chattopadhyay and A. Dutta, “Application of MCDM technique for selection of fuel https://doi.org/10.1016/j.matpr.2023.10.159 in power plant,“ Materials Today, 2023.
S. S. Goswami and D. K. Behera, “Implementation of ENTROPY-ARAS decision making methodology in the selection of best engineering materials,“ Materials Today, vol. 38, pp. 22562262, 2021. https://doi.org/10.1016/j.matpr.2020.06.320
G. N. Yücenur and A. Maden, “Sequential MCDM methods for site selection of hydroponic geothermal greenhouse: ENTROPY and ARAS,“ Renewable Energy, vol. 226, pp. 120361, 2024. https://doi.org/10.1016/j.renene.2024.120361
C. Ghenai, M. Albawab and M. Bettayeb, “Sustainability indicators for renewable energy systems using multi-criteria decision-making model and extended SWARA/ARAS hybrid method,“ Renewable Energy, https://doi.org/10.1016/j.renene.2019.06.157 vol. 146, pp. 580-597, 2020.
M. N. Sultana and N. R. Dhar, “RSM design-based hybrid approach to multi-response optimization in milling Ti-6Al-4 V alloy: A comparative study,“ Materials Today, 2023.
Y. Lee, J. Hu and M. K. Lim, “Revisiting circular economy indicators: A circular supply chain perspective,“ Journal of Purchasing and Supply Management, p. 100941, 2024. https://doi.org/10.1016/j.pursup.2024.100941
X. Du, Y. Wang and F. Chen, “Evaluation of coal-resource-based cities transformation based on CRITIC-TOPSIS model,“ Sustainable Cities and Society, vol. 103, p. 105271, 2024. https://doi.org/10.1016/j.scs.2024.105271
A. Menekşe and H. C. Akdağ, “Medical waste disposal planning for healthcare units using spherical fuzzy CRITIC-WASPAS,“ Applied Soft Computing, vol. 144, p. 110480, 2023. https://doi.org/10.1016/j.asoc.2023.110480
M. K. Saraji, E. Aliasgari and D. Streimikiene, “Assessment of the challenges to renewable energy technologies adoption in rural areas: A Fermatean CRITIC-VIKOR approach,“ Technological Forecasting and Social Change, vol. 189, p. 122399, 2023. https://doi.org/10.1016/j.techfore.2023.122399
R. Agarwal, A. K. Nishad, A. Agarwal and S. Husain, “Evaluation and Selection of a Green and Sustainable Supplier by Using a Fuzzy ARAS Mathematical Modeling,“ New Mathematics and Natural Computation, vol. 19, no. 3, 2023. https://doi.org/10.1142/s1793005723500382
H. Alpdoğan, “Performance analysis of sustainable development policies in OECD countries using the ARAS method,“ Business and Management Studies International Journal, vol. 11, no. 3, p. 1079, 2023.
T. Özkan and A. Ağ, “Corporate sustainability performance assessment: CRITIC-ARAS integrated model,“ International Journal of Society Researches, vol. 18, no. 42, pp. 5208-5229, 2021. https://doi.org/10.26466/opus.913777
D. Mohamad, S. A. S. Ahmad and H. Azhar, “Fuzzy Aras method with objective weight for solving logistic provider problem,“ In AIP Conference Proceedings, vol. 2905, no. 1, 2024, January. https://doi.org/10.1063/5.0171735
A. Aytekin, S. Korucuk, Ş. B. Bedirhanoğlu and V. Simic, “Selecting the ideal sustainable green strategy for logistics companies using a T-spherical fuzzy-based methodology,“ Engineering Applications of Artificial Intelligence, vol. 127, p. 107347, 2024.https://doi.org/10.1016/j.engappai.2023.107347
S. Bošković, V. Radonjić-Djogatović, P. Ralević, M. Dobrodolac and S. Jovčić, “Selection Of Mobile Network Operator Using The CRITIC-ARAS Method,“ International Journal for Traffic and Transport Engineering, vol. 11, no. 1, 2021. https://doi.org/10.7708/ijtte.2021.11(1).02
V. S. A. Kargı, “Determining Digital Readiness Levels Of The OECD Countries With CriticBased Aras Method,“Akademik Yaklaşımlar Dergisi, vol. 13, no. 2, pp. 363-376. https://doi.org/10.54688/ayd.1111357
T. Škrinjarić, “Empirical assessment of the circular economy of selected European countries,“ Journal of Cleaner Production, https://doi.org/10.1016/j.jclepro.2020.120246 vol. 255, p. 120246, 2020.
A. Alhammadi, I. Alsyouf, C. Semeraro and K. Obaideen, “The role of industry 4.0 in advancing sustainability development: A focus review in the United Arab Emirates,“ Cleaner Engineering and Technology, p. 100708, 2023. https://doi.org/10.1016/j.clet.2023.100708
C. G. Bocean and A. A. Vărzaru, “EU countries’ digital transformation, economic performance, and sustainability analysis,“ Humanities and Social Sciences Communications, vol. 10, no. 1, pp. 1-15, 2023. https://doi.org/10.1057/s41599-023-02415-1
A. Dall-Orsoletta, F. Romero and P. Ferreira, “Open and collaborative innovation for the energy transition: An exploratory study,“ Technology in Society, vol. 69, p. 101955, 2022. https://doi.org/10.1016/j.techsoc.2022.101955
I. Jonek-Kowalska, S. Rupacz and A. Michalak, “Open Innovation for Green Transition in Energy Sector: A Literature Review,“ Energies, vol. 18, no. 24, p. 6451, 2025. https://doi.org/10.3390/en18246451
A. Horobet, C. D. Tudor, L. Belascu, M. Herciu and C. Ogrean, “The future of energy in the European Union: balancing renewable growth with globalization and digitalization,“ Journal of Applied Economics, vol. 28, no. https://doi.org/10.1080/15140326.2025.2548821 1, p. 2548821, 2025.
R. Santa, M. Bošnjaković, M. Rajcsanyi-Molnar and I. Andras, “Energy Systems in Transition: A Regional Analysis of Eastern Europe’s Energy Challenges,“ Clean technologies, vol. 7, no. 4, p. 84, 2025. https://doi.org/10.3390/cleantechnol7040084
M. P. Duarte and F. M. P. de Oliveira Carvalho, “How digital transformation shapes European union countries’ national systems of innovation: A configurational moderation approach,“ Journal of Innovation & Knowledge, vol. 9, no. 4, p. 100578, 2024. https://doi.org/10.1016/j.jik.2024.100578
I. Benedetti, G. Guarini and T. Laureti, “Digitalization in Europe: A potential driver of energy efficiency for the twin transition policy strategy,“ Socio-Economic Planning Sciences, vol. 89, p. 101701, 2023. https://doi.org/10.1016/j.seps.2023.101701
M. Tutak and J. Brodny, “Business digital maturity in Europe and its implication for open innovation,“ Journal of Open Innovation: Technology, Market, and Complexity, vol. 8, no. 1, p. 27, 2022. https://doi.org/10.3390/joitmc8010027
J. Brodny and M. Tutak, “Assessing the level of digitalization and robotization in the enterprises of the European Union Member States,“ PloS one, vol. 16, no. 7, p. e0254993, 2021. https://doi.org/10.1371/journal.pone.0254993
J. Brodny and M. Tutak, “Assessing the level of innovativeness and digitalization of enterprises in the European Union States,“ Journal of Open Innovation: Technology, Market, and Complexity, vol. 10, no. 1, p. 100210, 2024. https://doi.org/10.1016/j.joitmc.2024.100210
I. T. Maria, “Digital divide in the European Union: assessing spatial disparities and neighborhood effects,“ Zbornik radova Geografskog instituta "Jovan Cvijić" SANU, vol. 74, no. 2, pp. 181-194, 2024. https://doi.org/10.2298/ijgi2402181t
M. R. Georgescu and A. E. Lungu, “A Case Study on the Innovation Performance of EU Countries,“ Procedia Computer https://doi.org/10.1016/j.procs.2025.07.002 Science, vol. 263, pp. 9-16, 2025.
S. Proia, R. Carli, G. Cavone and M. Dotoli, “A literature review on control techniques for collaborative robotics in industrial applications,“ In 2021 IEEE 17th International Conference on Automation Science and Engineering (CASE) IEEE, 2021, pp. 591-596. https://doi.org/10.1109/case49439.2021.9551600
N. M. C. Galego, D. S. Martinho and N. M. Duarte, “Cloud computing for big data analytics How cloud computing can handle procesing large amounts of data and improve real-time data analytics,“ Procedia Computer Science, https://doi.org/10.1016/j.procs.2024.05.108 vol. 237, pp. 297-304, 2024.
S. Dhingra, R. B. Madda, R. Patan, P. Jiao, K. Barri and A. H. Alavi, “Internet of things-based fog and cloud computing technology for smart traffic monitoring,“ Internet of Things, vol. 14, p. 100175, 2021. https://doi.org/10.1016/j.iot.2020.100175
A. Rajagopalan, D. Swaminathan, M. Bajaj, I. Damaj, R. S. Rathore, A. R. Singh, ... and L. Prokop, “Empowering power distribution: Unleashing the synergy of IoT and cloud computing for sustainable and efficient energy systems,“ Results in Engineering, p. 101949, 2024. https://doi.org/10.1016/j.rineng.2024.101949
S. Ma, W. Ding, Y. Liu, Y. Zhang, S. Ren, X. Kong and J. Leng, “Industry 4.0 and cleaner production: A comprehensive review of sustainable and intelligent manufacturing for energyintensive manufacturing industries,“ Journal of Cleaner Production, p. 142879, 2024. https://doi.org/10.1016/j.jclepro.2024.142879
V. R. Bankar and K. N. Nandurkar, “Implementation of IoT technology for quality improvement in an automotive industry,“ Materials Today, 2023. https://doi.org/10.1016/j.matpr.2023.03.485
T. L. Narayana, C. Venkatesh, A. Kiran, A. Kumar, S. B. Khan, A. Almusharraf and M. T. Quasim, “Advances in real time smart monitoring of environmental parameters using IoT and sensors,“ Heliyon, vol. 10, no. 7, 2024. https://doi.org/10.1016/j.heliyon.2024.e28195
R. Dash, M. McMurtrey, C. Rebman and U. K. Kar, “Application of artificial intelligence in automation of supply chain management,“ Journal of Strategic Innovation and Sustainability, vol. 14, no. 3, 2019. https://doi.org/10.33423/jsis.v14i3.2105
F. U. Yunyun, S. H. E. N. Yongchang, S. O .N. G. Malin and W. A. N. G. Weiyu, “Does Artificial Intelligence Reduce Corporate Energy Consumption? New Evidence from China,“ Economic Analysis and Policy, 2024. https://doi.org/10.1016/j.eap.2024.07.005
Y. Wang and Y. Li, “Chinese economic growth and sustainable development: Role of artificial intelligence and natural resource management,“ Resources Policy, vol. 85, p. 103996, 2023. https://doi.org/10.1016/j.resourpol.2023.103996
S. Acheampong, T. Pimonenko and O. Lyulyov, “Sustainable marketing performance of banks in the digital economy: The role of customer relationship management,“ Virtual Economics, vol. 6, no. 1, pp. 19-37, 2023. https://doi.org/10.34021/ve.2023.06.01(2)
M. Ferrer-Estévez and R. Chalmeta, “Sustainable customer relationship management,“ Marketing Intelligence & Planning, vol. 41, no. 2, pp. 244-262, 2023.
F. Li and G. Xu, “AI-driven customer relationship management for sustainable enterprise performance,“ Sustainable Energy Technologies and Assessments, vol. 52, p. 102103, 2022. https://doi.org/10.1016/j.seta.2022.102103
H. R. Yazgan, S. Boran and K. Goztepe, “An ERP software selection process with using artificial neural network based on analytic network process approach,“ Expert Systems with Application, vol. 36, no. 5, pp. 9214-9222, 2009. https://doi.org/10.1016/j.eswa.2008.12.022
A. I. Otuonye, “Cloud-Based Enterprise Resource Planning for Sustainable Growth of SME S in Third World Countries,“ International Journal of Computer Science and Information Security, vol. 19, no. 5, 2021.
K. Anjaria, “Enhancing sustainability integration in Sustainable Enterprise Resource Planning (S-ERP) system: Application of Transaction Cost Theory and case study analysis,“ International Journal of Information Management Data Insights, vol. 4, no. 2, p. 100243, 2024. https://doi.org/10.1016/j.jjimei.2024.100243
J. Lim, H. Lee, H. Cho, J. Y. Shim, H. Lee and J. Kim, “Novel waste heat and oil recovery system in the finishing treatment of the textile process for cleaner production with economic improvement,“ International Journal of Energy Research, vol. 46, no. 14, pp. 20480-20493, 2022. https://doi.org/10.1002/er.7803
Z. El Haouat, S. Essalih, F. Bennouna, M. Ramadany and D. Amegouz, “Environmental optimization and operational efficiency: Analysing the integration of life cycle assessment (LCA) into ERP systems in Moroccan companies,“ Results in Engineering, vol. 22, p. 102131, 2024. https://doi.org/10.1016/j.rineng.2024.102131
S. Gupta, R. Meissonier, V. A. Drave and D. Roubaud, “Examining the impact of Cloud ERP on sustainable performance: A dynamic capability view,“ International Journal of Information Management, vol. 51, p. 102028, 2020. https://doi.org/10.1016/j.ijinfomgt.2019.10.013
E. Hustad and J. Stensholt, “Customizing ERP-systems: A framework to support the decisionmaking process,“ Procedia Computer Science, vol. 219, pp. 789-796, 2023. https://doi.org/10.1016/j.procs.2023.01.352
A. G. Chofreh, F. A. Goni and J. J. Klemes, “Development of a framework for the implementation of sustainable enterprise resource planning,“ Chemical Engineering Transactions, vol. 61, pp. 1543-1548, 2017. https://doi.org/10.3303/CET1761255
L. Sislian and A. Jaegler, “Linkage of blockchain to enterprise resource planning systems for improving sustainable performance,“ Business Strategy and the Environment, vol. 31, no. 3, pp. 737-750, 2022. https://doi.org/10.1002/bse.2914
S. L. Ngan, B. S. How, S. Y. Teng, M. A. B. Promentilla, P. Yatim, A. C., Er and H. L. Lam, “Prioritization of sustainability indicators for promoting the circular economy: The case of developing countries,“ Renewable and Sustainable Energy Reviews, vol. 111, pp. 314-331, 2019. https://doi.org/10.1016/j.rser.2019.05.001
O. Giannakitsidou, I. Giannikos and A. Chondrou, “Ranking European countries on the basis of their environmental and circular economy performance: A DEA application in MSW,“ Waste Management, vol. 109, pp. 181-191, 2020. https://doi.org/10.1016/j.wasman.2020.04.055
S. Lahane and R. Kant, “Investigating the sustainable development goals derived due to adoption of circular economy practices,“ Waste Management, vol. 143, pp. 1-14, 2022. https://doi.org/10.1016/j.wasman.2022.02.016
A. Marino and P. Pariso, “Comparing European countries' performances in the transition towards the Circular Economy,“ Science of the Total Environment, vol. 729, p. 138142, 2020. https://doi.org/10.1016/j.scitotenv.2020.138142
N. T. H. Nham, “Making the circular economy digital or the digital economy circular? Empirical evidence from the European region,“ Technology in Society, vol. 70, p. 102023, 2022. https://doi.org/10.1016/j.techsoc.2022.102023
J. Bachér, H. Pihkola, L. Kujanpää and U. M. Mroueh, “Advancing the circular economy through group decision-making and stakeholder involvement,“ Detritus, vol. 4, 2018, pp. 22-35. https://doi.org/10.31025/2611-4135/2018.13741
G. Yadav, S. K. Mangla, A. Bhattacharya and S. Luthra, “Exploring indicators of circular economy adoption framework through a hybrid decision support approach,“ Journal of Cleaner Production, vol. 277, p. 124186, 2020. https://doi.org/10.1016/j.jclepro.2020.124186
K. Voulgaridis, T. Lagkas, C. M. Angelopoulos and S. E. Nikoletseas, “IoT and digital circular economy: Principles, applications, and challenges,“ Computer Networks, vol. 219 p. 109456, 2022. https://doi.org/10.1016/j.comnet.2022.109456
European Commission. (2021). 2030 Digital compass: the European way for the digital decade [Online]. Available: https://eufordigital.eu/library/2030-digital-compass-the-european-way-forthe-digital-decade/. [Accessed 16 May 2024].
United Nations. (2024). What is renewable energy? [Online]. Available: https://www.un.org/en/climatechange/what-is-renewable-energy?utm_source=chatgpt.com. [Accessed 20 May 2024]
E.M. Foundation. (2024). Towards a circular economy: Business rationale for an accelerated transition. [Online]. Available: https://www.ellenmacarthurfoundation.org/towards-a-circulareconomy-business-rationale-for-an-accelerated-transition. [Accessed 17 May 2024]
European Commission. (2024). Database. [Online]. Available: https://ec.europa.eu/eurostat/data/database. [Accessed 05 March 2024]
OECD. (2024). Database. [Online]. Available: https://www.oecd.org/en/data.html. [Accessed 05 March 2024]
D. Diakoulaki, G. Mavrotas and L. Papayannakis, “Determining objective weights in multiple criteria problems: The critic method,“ Computers & Operations Research, vol. 22, no. 7, pp. 763-770, 1995. https://doi.org/10.1016/0305-0548(94)00059-h
N. Ghaemi-Zadeh and M. Eghbali-Zarch, “Evaluation of business strategies based on the financial performance of the corporation and investors' behavior using D-CRITIC and fuzzy MULTI-MOORA techniques: A real case study,“ Expert Systems with Application, vol. 247, p. 123183, 2024. https://doi.org/10.1016/j.eswa.2024.123183
M. Keshavarz-Ghorabaee, M. Amiri, E. K. Zavadskas, Z. Turskis and J. Antucheviciene, 2021, “Determination of objective weights using a new method based on the removal effects of criteria (MEREC),“ Symmetry, vol. 13, no. 4, p. 525. https://doi.org/10.3390/sym13040525
E. K. Zavadskas and Z. Turskis, “A new additive ratio assessment (ARAS) method in multicriteria decision‐making,“ Technological and Economic Development of Economy, vol. 16, no. 2, pp. 159-172, 2010. https://doi.org/10.3846/tede.2010.10
M. Keshavarz Ghorabaee, E. K. Zavadskas, L. Olfat and Z.Turskis, “Multi-criteria inventory classification using a new method of evaluation based on distance from average solution (EDAS),“ Informatica, vol. 26, no. https://doi.org/10.15388/informatica.2015.57 3, pp. 435-451, 2015.
A. Alinezhad and J. Khalili, “EDAS method,“New methods and applications in multiple attribute decision making (MADM) (pp. 149-155). Cham: Springer International Publishing, 2019.
C. C. Bridges Jr, “Hierarchical cluster analysis,“ Psychological Reports, vol. 18, no. 3, pp. 851854, 1966.
D. Stanujkic, G. Popovic, E. K. Zavadskas, D. Karabasevic and A. Binkyte-Veliene, “Assessment of progress towards achieving Sustainable Development Goals of the “Agenda 2030” by using the CoCoSo and the Shannon Entropy methods: The case of the EU Countries,“ Sustainability, vol. 12, no. 14, p. 5717, 2020. https://doi.org/10.3390/su12145717
M. Hametner and M. Kostetckaia, “Frontrunners and laggards: How fast are the EU member states progressing towards the sustainable development goals?“ Ecological Economics, vol. 177, p. 106775, 2020. https://doi.org/10.1016/j.ecolecon.2020.106775
D. Anselmi, I. D’Adamo, M. Gastaldi and G. V. Lombardi, “A comparison of economic, environmental and social performance of European countries: A sustainable development goal index,“ Environment, Development and Sustainability, vol. 26, no. 8, pp. 20653-20677, 2024. https://doi.org/10.1007/s10668-023-03496-3
J. Sachs, C. Kroll, G. Lafortune, G. Fuller and F. Woelm. (2024). The decade of action for the sustainable development goals: includes the SDG index and dashboards. [Online]. Available: https://sdgtransformationcenter.org/reports/sustainable-development-report-2021 [Accessed 16 May 2024]
H. Pinto, C. Nogueira and G. Vieira, “Digitalisation landscape in the European Union: Statistical insights for a Digital Transformation: Panorama de la digitalización en la Unión Europea: Perspectivas estadísticas para una Transformación Digital,“ European Public and Social Innovation Review, vol. 8, no. 1, pp. 20-38, 2023. https://doi.org/10.31637/epsir-2023-233
T. Niebel, “ICT and economic growth – Comparing developing, emerging and developed countries,“ World Development, vol. https://doi.org/10.1016/j.worlddev.2017.11.024 104, pp. 197-211, 2018.
J. Kirchherr, D. Reike and M. Hekkert, “Conceptualizing the circular economy: An analysis of 114 definitions,“ Resources, Conservation and Recycling, vol. 127, pp. 221-232, 2017. https://doi.org/10.1016/j.resconrec.2017.09.005
R. Veugelers, Missing convergence in innovation capacity in the EU: Facts and policy implications (No. 066). Directorate General Economic and Financial Affairs (DG ECFIN), European Commission, 2017.
M. Geissdoerfer, P. Savaget, N. M. Bocken, E. J. Hultink, “The Circular Economy–A new sustainability paradigm? ,“ Journal of Cleaner Production, vol. 143, pp. 757-768, 2017.
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