Keywords
paints and coatings
, econometric model
scaling impact index
Categories
How to Cite
Abstract
This article analyzes how paints and coatings businesses in the USA and Kazakhstan scale between 2019 and 2023. The research employs a non-linear econometric model to identify key factors, including market size, innovation, supply chain efficiency and government policy, that affect business growth, in an analysis involving developed and emerging markets. Second, the author develop a Scaling Impact Index to provide a comparative metric to evaluate the scaling potential of businesses in both respective countries. Results demonstrate that although the USA is supported by existing infrastructure and technology innovation, Kazakhstan boasts great opportunities for growth, provided by market expansion and support from the government. The research calls to improve the infrastructure and to introduce innovation investments in Kazakhstan, while American business should maintain competition advantages. The results provide insights into the scaling dynamics of businesses operating in different economic environments, and are relevant both for business strategy, as well as policy formulation.
References
Prokopenko, O.; Chechel, A.; Koldovskiy, A.; Kldiashvili, M. Innovative Models of Green Entrepreneurship: Social Impact on Sustainable Development of Local Economies. Economics Ecology Socium 2024, 8, 89–111. https://doi.org/10.61954/2616-7107/2024.8.1-8.
Menon, R.R.; Ravi, V. Using AHP-TOPSIS methodologies in the selection of sustainable suppliers in an electronics supply chain. Clean. Mater. 2022, 5, 100130. https://doi.org/10.1016/j.clema.2022.100130.
Nsikan, J.; Affiah, E.A.; Briggs, I.; Koko, N. Sustainable supplier selection factors and supply chain performance in the Nigerian healthcare industry. J. Transp. Supply Chain. Manag. 2022, 16, 633. https://doi.org/10.4102/jtscm.v16i0.633.
Rashidi, K.; Noorizadeh, A.; Kannan, D.; Cullinane, K. Applying the triple bottom line in sustainable supplier selection: A meta-review of the state-of-the-art. J. Clean. Prod. 2020, 269, 122001. ttps://doi.org/10.1016/j.jclepro.2020.122001.
Gao, H.; Ju, Y.; Gonzalez, E.D.S.; Zeng, X.J.; Dong, P.; Wang, A. Identifying critical causal criteria of green supplier evaluation using heterogeneous judgements: An integrated approach based on cloud model and DEMATEL. Appl. Soft Comput. 2021, 113, 107882. https://doi.org/10.1016/j.asoc.2021.107882.
Giri, B.C.; Molla, M.U.; Biswas, P. Pythagorean fuzzy DEMATEL method for supplier selection in sustainable supply chain management. Expert Syst. Appl. 2022, 193, 116396. https://doi.org/10.1016/j.eswa.2021.116396.
Ulutaş, A.; Topal, A.; Pamučar, D.; Stević, Ž.; Karabašević, D.; Popović, G. A New Integrated Multi-Criteria Decision-Making Model for Sustainable Supplier Selection Based on a Novel Grey WISP and Grey BWM Methods. Sustainability 2022, 14, 16921. https://doi.org/10.3390/su142416921.
Rahman, M.M.; Bari, A.B.M.M.; Ali, S.M.; Taghipour, A. Sustainable supplier selection in the textile dyeing industry: An integrated multi-criteria decision analytics approach. Resour. Conserv. Recycl. Adv. 2022, 15, 200117. ttps://doi.org/10.1016/j.rcradv.2022.200117.
Machesa, M.; Tartibu, L.; Okwu, M. Selection of sustainable supplier(S) in a paint manufacturing company using hybrid meta-heuristic algorithm. S. Afr. J. Ind. Eng. 2020, 31, 13–23. https://doi.org/10.7166/31-3-2429.
Beiki, H.; Mohammad Seyedhosseini, S.; Ponkratov, V.V.; Zekiy, A.O.; Ivanov, S.A. Addressing a sustainable supplier selection and order allocation problem by an integrated approach: A case of automobile manufacturing. J. Ind. Prod. Eng. 2021, 38, 239–253. https://doi.org/10.1080/21681015.2021.1877202.
Çalık, A. A hybrid approach for selecting sustainable suppliers and determining order allocation based on interval type-2 fuzzy sets. J. Enterp. Inf. Manag. 2020, 33, 923–945. https://doi.org/10.1108/JEIM-09-2019-0302.
Feng, J.; Gong, Z. Integrated linguistic entropy weight method and multi-objective programming model for supplier selection and order allocation in a circular economy: A case study. J. Clean. Prod. 2020, 277, 122597. https://doi.org/10.1016/j.jclepro.2020.122597.
Jia, R.; Liu, Y.; Bai, X. Sustainable supplier selection and order allocation: Distributionally robust goal programming model and tractable approximation. Comput. Ind. Eng. 2020, 140, 106267. https://doi.org/10.1016/j.cie.2020.106267.
Rezaee, Z. Supply chain management and business sustainability synergy: A theoretical and integrated perspective. Sustainability 2018, 10, 275. https://doi.org/10.3390/su10010275.
Gazi, F.; Atan, T.; Kılıç, M. The assessment of internal indicators on the balanced scorecard measures of sustainability. Sustainability 2022, 14, 8595. https://doi.org/10.3390/su14148595.
Camodeca, R.; Almici, A. Digital Transformation and Convergence toward the 2030 Agenda’s Sustainability Development Goals: Evidence from Italian Listed Firms. Sustainability 2021, 13, 11831. https://doi.org/10.3390/su132111831.
Urh, B.; Senegačnik, M.; Kern, T.; Krhač Andrašec, E. Reducing laboratory test waste in the coating development process. Pol. J. Environ. Stud. 2020, 29, 3841–3851. https://doi.org/10.15244/pjoes/117657.
Koldovskiy, A. Strategic Infrastructure Transformation: Revolutionizing Financial Sector Management for Enhanced Success. Acta Academiae Beregsasiensis. Economics 2024, 5, 323–332. https://doi.org/10.58423/2786-6742/2024-5-323-332.
Mazur, V.; Koldovskyi, A.; Ryabushka, L.; Yakubovska, N. The Formation of a Rational Model of Management of the Construction Company’s Capital Structure. Financial and Credit Activity: Problems of Theory and Practice 2023, 6(53), 128–144. https://doi.org/10.55643/fcaptp.6.53.2023.4223.
IMF. International Financial Statistics. IMF Data. 2023. Available online: https://data.imf.org/?sk=4c514d48-b6ba-49ed-8ab9-52b0c1a0179b&sId=-1
IMF. Global Financial Stability Report. IMF Data. 2024. Available online: https://data.imf.org/?sk=388dfa60-1d26-4ade-b505-a05a558d9a42
World Bank. The World Development Indicators. World Bank, 2023. Available online: https://datatopics.worldbank.org/world-development-indicators/
World Bank. World Bank Open Data. World Bank, 2024. Available online: https://data.worldbank.org/
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Copyright (c) 2024 Andrey Chshelokovskiy