Authors : Arlethe Yarí Aguilar Villarreal; Jesús Fabián López Pérez

Volume/Issue : Volume 10 - 2025, Issue 8 - August

Google Scholar : https://tinyurl.com/4evs2fck

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DOI : https://doi.org/10.38124/ijisrt/25aug1222

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Abstract : This study presents an analysis of factors influencing the competitiveness of micro and small enterprises (SMEs) in the steel-automotive sector in northeastern Mexico, specifically in the states of Coahuila and Nuevo León. Using a quantitative approach, a measurement instrument was designed, validated, and applied based on existing literature. The instrument was electronically administered to a sample of 116 entrepreneurs and managers. The study measured 12 independent variables, including the degree of technological innovation, productivity, energy efficiency, business profitability, level of Industry 4.0 adoption, strategic alliances, supply chain, staff training level, globalization, innovation capacity, market, and quality. A multiple linear regression analysis was conducted. Each construct was evaluated, and a Cronbach’s alpha of 0.70 was obtained. Using the stepwise method in SPSS, six variables were selected for the final model. The adjusted R2 of the model is 0.983 and includes X1 = Degree of technological innovation, X2 = Productivity, X4 = Profitability, X5 = Level of Industry 4.0 adoption, and X11 = Market. It is concluded that the non-significant variables are not yet identified or developed in this sector within the region.

Keywords : Determinants, Competitiveness, SMEs, Steel, Automotive, Mexico.

References :

1. Cámara Nacional del Acero (CANACERO). (2022). Radiografía de la industria del acero en México. https://www.canacero.org.mx/
2. Canacero. (04 de 10 de 2021). Cámara Nacional del Acero. Obtenido de Cámara Nacional del Acero: https://www.canacero.org.mx/
3. Data México. (18 de Noviembre de 2021). Data México. Obtenido de Data México: https://datamexico.org/es/profile/product/articles-of-iron-or-steel
4. IMCO. (Octubre de 2021). Instituto Mexicano de Competitividad. Obtenido de https://imco.org.mx/
5. INEGI. (1 de Noviembre de 2021). Instituto Nacional de Estadística y Geografía. Obtenido de in steady and volatile markets. Journal of Retailing and Consumer Services, 36, 62-74. industry. Energy Efficiency, 1213-1243.
6. INEGI. (15 de Octubre de 2021). Instituto Nacional de Estadística, Geografía. Obtenido de Instituto Nacional de Estadística, Geografía. https://www.inegi.org.mx/contenidos/productos/prod_serv/contenidos/espanol/bvinegi/pro ductos/nueva_estruc/702825106829.pdf
7. World Steel Association. (28 de Octubre de 2021). World Steel Association. https://www.worldsteel.org/en/dam/jcr:f9359dff-9546-4d6b-bed0- 996201185b12/World+Steel+in+Figures+2018.pdf
8. World steel Association. (10 de 10 de 2021). Worldsteel Association. https://www.worldsteel.org/
9. ALACERO
10. Benkovskis, K., Bluhm, B., Bobeica, E., Osbat, C., & Zeugner, S. (2020). What drives export market shares? It depends! An   empirical   analysis using   Bayesian   model averaging. Empirical Economics, 59(2), 817-869.
11. Sekiguchi, N. (2022). The evolution of non-OECD countries in the twenty-first century: developments in steel trade and the role of technology. Mineral Economics, 35(20), 1-30.
12. Organización para la Cooperación y el Desarrollo Económico. (Obtenido el 5 de Noviembre de 2021) https://www.oecd.org/acerca/
13. Espinoza Parada, L.-F., Cavazos Salazar, R.-L., & Cruz Álvarez, J.-G. (2020). Socioeconomic Development: The Steel like a Crucial Key. En J. Sánchez-Gutiérrez, & T.-E. González- Alvarado, The Future of Work (págs. 39-56). Zapopan, Jalisco: Universidad de Guadalajara.
14. Espinoza, L. F., Cavazos, R. L., & Cruz Álvarez, J. G. (2019). Modelo de competitividad de la industria del acero: Un análisis comparativo entre el líder industrial y México. Repositorio de la Red Internacional de Investigadores en Competitividad, 13, 148-168.
15. Zang, L., & Xiong, F. (2020). How (when) does technological innovation improve government effectiveness? An empirical investigation with cross-national evidence. Science and Public Policy, 47(1), 103-113. DOI: 10.1093/scipol/scz050
16. Li, F., Fang, H., & Deng, S. (2022). Environmental Regulation, Industrial Structure Upgrading and Technological Innovation: Empirical Data from Guangdong Province in China. Polish Journal of Environmental Studies, 31(3), 2157-2166.
17. García Lopera, F., Santos Jaén, J. M., Palacios Manzano, M., & Ruiz Palomo, D. (2022).Exploring the effect of professionalization, risk-taking and technological innovation on business performance. Plos one, 17(2) https://doi.org/10.1371/journal.pone.0263694
18. Parida, M., & Madheswaran, S. (2021). Effect of firm ownership on productivity: empirical evidence from the Indian mining industry. Mineral Economics, Springer, 34(1), 87-103.
19. Liu, J., Zhuang, D., & Shen, W. (2022). The impact of quality management practices on manufacturing performance: an empirical study based on system theory. Soft Computing, 27(1) 1-16.
20. Liu, Q., Qu, X., Wang, D., Abbas, J., & Mubeen, R. (2021). Product market competition and firm performance: business survival through innovation and entrepreneurial orientation amid COVID-19 financial crisis. Frontiers in Psychology, 12.
21. Liu, S., Shen, X., Jiang, T., & Failler, P. (2021). Impacts of the financialization of manufacturing enterprises on total factor productivity: empirical examination from China's listed companies. Green Finance, 3(1), 59-89.
22. Kumar, S. (2021). Structural Changes and Competitiveness of the Steel Industry in India:     Assessed by Productivity Growth post Economic Reforms. International Journal of Global Business and Competitiveness, Springer, 16(1), 39-59 https://doi.org/10.1007/s42943-021-00024-w
23. Vögele, S., Grajewski, M., Govorukha, K., & Rübbelke, D. (2020). Challenges for the European steel industry: Analysis, possible consequences and impacts on sustainable development. Applied Energy, 264.
24. Stroud, D., Evans, C., & Weinel, M. (2020). Innovating for energy efficiency: Digital gamification in the European steel industry. European Journal of Industrial Relations, 26(4), 419-437.
25. Talaei, A., Ahiduzzaman, M., Davis, M., Gemechu, E., & Kumar, A. (2020). Potential for energy efficiency improvement and greenhouse gas mitigation in Canada’s iron and steel industry. Energy Efficency, 13(1).
26. Fan, F., Lian, H., Liu, X., & Wang, X. (2021). Can environmental regulation promote urban                green innovation Efficiency? An empirical study based on Chinese cities. Journal of Cleaner Production, 287(1), 125060.
27. Dahir, A. M., & Mahi, M. (2021). Does energy efficiency improve environmental quality in BRICS countries? Empirical evidence using dynamic panels with heterogeneous slopes. Environmental Science and Pollution Research, 1-16.
28. Yan, X., & Zhang, Y. (2021). The effects of green innovation and environmental management on the environmental performance and value of a firm: an empirical  study of energy-intensive listed companies in China. Environmental Science and Pollution Research, 28(06), 1-10.
29. Liu, J., Zhuang, D., & Shen, W. (2022). The impact of quality management practices on manufacturing performance: an empirical study based on system theory. Soft Computing, 27(1) 1-16.
30. Liu, Q., Qu, X., Wang, D., Abbas, J., & Mubeen, R. (2021). Product market competition and firm performance: business survival through innovation and entrepreneurial orientation amid COVID-19 financial crisis. Frontiers in Psychology, 12.
31. Liu, S., Shen, X., Jiang, T., & Failler, P. (2021). Impacts of the financialization of manufacturing enterprises on total factor productivity: empirical examination from China's listed companies. Green Finance, 3(1), 59-89.
32. Kamp, B., & Gibaja, J. J. (2021). Adoption of digital technologies and backshoring decisions: is there a link? Operations Management Research, 14(3), 380-402. DOI: 10.1007/s12063-021-00202-2
33. Thing, N. S., Yaacob, M. H., & Alias, N. (2021). Information Asymmetry and Industry 4.0 among Small and Medium Enterprise (SME) in Malaysian Halal Industry. Journal Pengurusan, 63(2021), 31-49.
34. Cucculelli, M., Dileo, I., & Pini, M. (2021). Filling the void of family leadership: institutional             support to business model changes in the Italian Industry 4.0 experience. The Journal               of Technology Transfer, 1-29.
35. Xue, F., Than, Y., & Zhao, X. (2022). Digital Transformation of Manufacturing Enterprises: An Empirical Study on the Relationships between Digital Transformation, Boundary Spanning, and Sustainable Competitive Advantage. Discrete Dynamics in Nature and Society, 2022(2), 1-16.
36. Tyll, L., Srivastava, M., & Hromádka, M. (2020). Strategic alliances between Czech SMEs and its effects on firm’s competitiveness. JEEMS Journal of East European Management Studies, 25(2), 246-263.
37. Kaihatu, T. S., & Oktavio, A. (2020). The role of functional top management team in initiating the strategic alliances as outcome from innovativeness behavior: Empirical evidence from star hotels. Jurnal Aplikasi Manajemen, 18(2), 277-288. DOI:  10.21776/ub.jam.2020.018.02.08
38. Strašek, A., Pušavec, F., & Likar, B. (2020). Open innovation and business performance      improvement in strategic business alliances. Management: Journal of Contemporary Management Issues, 25(1), 133-144.
39. Dubey, R., Gunasekaran, A., Childe, S. J., Fosso Wamba, S., Roubaud, D., & Foropon, C. (2021). Empirical investigation of data analytics capability and organizational flexibility as complements to supply chain resilience. International Journal of Production Research, 59(1), 110-128.
40. Fontoura, P., & Coelho, A. (2021). More cooperative... more competitive? Improving competitiveness by sharing value through the supply chain. Management Decision, 60(3), 758-783.
41. Ma, Q. (2022). Calculation Method of Logistics Energy Consumption in Agricultural Product Supply Chain Based on Structural Equation Model. Mathematical Problems in Engineering, 2022(5) 1-9.
42. Fanti, L., Guarascio, D., & Tubiana, M. (2021). Skill mismatch and the dynamics of Italian companies’ productivity. Applied Economics, 53(59), 6790-6803.
43. Noja, G. G., Buglea, A., Lala-Popa, I., & Jurcut, C. N. (2021). The interplay between knowledge-based competitiveness, people’s good health and well-being: new empirical evidence from Central and Eastern European countries. Quality & Quantity, 55(2), 441-466.
44. Hassan, M. S., Bukhari, S., & Arshed, N. (2020). Competitiveness, governance and globalization: What matters for  poverty alleviation? Environment, Development and Sustainability, 22(4), 3491-3518.
45. Romero Borre, J., Hernández Fernández, L., Portillo Medina, R., & Hernández Chacín, A. (2022). Internacionalización de la empresa familiar: un modelo prospectivo. Información tecnológica, 33(1), 131-144.
46. Fang, J., Gozgor, G., Lau, C. K. M., & Seetaram, N. (2022). Does policy uncertainty affect economic globalization? An empirical investigation. Applied Economics, 54(22), 2510- 2528.
47. Álvarez, I., Morero, H. A., & Ortiz, P. A. (2021). Complementarities between knowledge sources for innovation: an analysis of production networks in Argentina. Innovation & Development, 25-47.
48. Valenzuela Fernández, L., Peñaloza Briones, N., Barajas Portas, K., & Marinao Artigas, E. (2021). Organizational innovation capabilities. Empirical evidence from B2B contexts. Estudios Gerenciales, 37(161), 647-656.
49. Stathakopoulos, V., Kottikas, K. G., Painesis, G., Theodorakis, I., & Kottika, E. (2022). Why              shape a market? Empirical evidence on the prominent firm-level and market-level                outcomes of market-driving strategy. Journal of Business Research, 139(3), 1240-        1254.
50. Stocker, M., & Várkonyi, L. (2022). Impact of market orientation on competitiveness: Analysis of internationalized medium-sized and large enterprises. Entrepreneurial Business and Economics Review, 10(1), 81-95
51. Aburayya, A., Alshurideh, M., Al Marzouqi, A., Al Diabat, O., Alfarsi, A., Suson, R., & Afum, E., Agyabeng-Mensah, Y., Acquah, I. S. K., Baah, C., Dacosta, E., Owusu, C. S., &               Owusu, J. A. (2021). Examining the links between logistics outsourcing, company            competitiveness and selected performances: the evidence from an emerging country.         The International Journal of Logistics Management, 32(3), 1068-1090.
52. Valdez de la Rosa, L. M., Villarreal Villarreal, L. A., & Alarcón Martínez, G. (2021). Quality and innovation as drivers for manufacturing competitiveness of automotive parts        suppliers. The TQM Journal, 33(5), 966-986.