Selection Criteria for Competitive Intelligence Models in the Management of Sustainable Projects in Microenterprises
DOI:
https://doi.org/10.71068/SMJ00106Keywords:
competitive intelligence, microenterprises, model selection, systematic reviewAbstract
Competitive intelligence (CI) has established itself as a strategic tool for strengthening decision-making, business competitiveness, and the ability of microenterprises to respond to dynamic environments; however, the diversity of models developed highlighted the need to establish criteria that facilitate their selection based on the characteristics of each organization. In this context, the objective of this research was to analyze the evolution, characteristics, and applicability of competitive intelligence models reported in the scientific literature between 2016 and 2025, with the aim of establishing criteria to guide their selection as an input for the formulation and management of sustainable projects in microenterprises. To this end, a systematic literature review was conducted following the PRISMA methodology, involving the search, selection, evaluation, and analysis of specialized scientific publications. The results identified models with varying levels of complexity, resource requirements, and implementation possibilities, as well as a conceptual evolution from approaches centered on information gathering and analysis toward perspectives oriented toward strengthening dynamic capabilities and strategic adaptation. As its main contribution, the study proposed a matrix of criteria for selecting competitive intelligence models, which linked organizational capabilities, the complexity of the models, and the strategic needs of microenterprises, serving as a basis for the formulation and management of sustainable projects; Consequently, it was concluded that the effectiveness of competitive intelligence depended less on the level of sophistication of the model and more on its ability to generate knowledge that is useful and applicable to the specific conditions of each organization.
References
1. OECD. (2023). OECD SME and Entrepreneurship Outlook 2023. OECD Publishing. https://www.oecd.org/en/publications/oecd-sme-and-entrepreneurship-outlook-2023_342b8564-en.html
2. Madureira, L., Popovič, A., y Castelli, M. (2021). Competitive intelligence: A unified view and modular definition. Technological Forecasting and Social Change, 173, 121086. https://doi.org/10.1016/j.techfore.2021.121086
3. Rouach, D., y Santi, P. (2001). Competitive intelligence adds value: Five intelligence attitudes. European Management Journal, 19(5), 552–559. https://doi.org/10.1016/S0263-2373(01)00069-2
4. Maluleka, M. L., y Chummun, B. Z. (2023). Competitive intelligence and strategy implementation: A systematic literature review. South African Journal of Information Management, 25(1), a1610. https://doi.org/10.4102/sajim.v25i1.1610
5. Placer, M. E., Pérez, G. D., y Soto, A. P. (2016). Efectos de la utilización de la inteligencia competitiva en PYMES industriales. Intangible Capital, 12(4), 923–941. https://doi.org/10.3926/ic.750
6. Labra, S. O., Rivera, G., y Reyes, G. J. (2017). Análisis FODA sobre el uso de la inteligencia competitiva en pequeñas empresas de la industria del vestido. Visión de Futuro, 21(1), 78–99.
7. Teece, D. J., Pisano, G., y Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533.
8. Mafra, P. F., Jeunon, E. E., Santos, B. R., y da Cunha, D. L. (2018). Inteligência competitiva como suporte à estratégia empresarial em micro e pequenas empresas. Revista Ibero-Americana de Estratégia, 17(1), 93–111. https://doi.org/10.5585/riae.v17i1.2511
9. Wu, Y., Yan, J., y Umair, M. (2023). Assessing the role of competitive intelligence and practices of dynamic capabilities in business accommodation of SMEs. Economic Analysis and Policy, 77, 1103–1114. https://doi.org/10.1016/j.eap.2022.11.024
10. Warner, K. S. R., y Wäger, M. (2019). Building dynamic capabilities for digital transformation: An ongoing process of strategic renewal. Long Range Planning, 52(3), 326–349. https://doi.org/10.1016/j.lrp.2018.12.001
11. Galindo Rodríguez, M. (2016). Modelo de inteligencia competitiva para la pequeña y mediana empresa y la academia [Tesis doctoral, Universidad de Valladolid]. Repositorio Documental de la Universidad de Valladolid. https://uvadoc.uva.es/handle/10324/32005
12. Reis, N. M., De Lima, D. M., De Faria, L. R., y Cunha, M. L. (2018). Matriz estratégica de inteligência competitiva. Revista Ibero-Americana de Estratégia, 17(2), 32–49. https://doi.org/10.5585/riae.v17i2.2541
13. Kraus, S., Ribeiro-Soriano, D., y Schüssler, M. (2018). Fuzzy-set qualitative comparative analysis (fsQCA) in entrepreneurship and innovation research: The rise of a method. International Entrepreneurship and Management Journal, 14(1), 15–33. https://doi.org/10.1007/s11365-017-0461-8
14. Radicic, D., Pugh, G., Hollanders, H., y Wintjes, R. (2014). The impact of innovation support programmes on SME innovation in traditional manufacturing industries: An evaluation for seven EU regions (UNU-MERIT Working Paper Series No. 2014-033). Maastricht Economic and Social Research Institute on Innovation and Technology. http://www.merit.unu.edu/publications/wppdf/2014/wp2014-033.pdf
15. Maritz, R., y Du Toit, A. (2018). The practice turn within strategy: Competitive intelligence as integrating practice. South African Journal of Economic and Management Sciences, 21(1), 1–10. https://doi.org/10.4102/sajems.v21i1.2059
16. Santoro, G., Vrontis, D., Thrassou, A., y Dezi, L. (2018). The Internet of Things: Building a knowledge management system for open innovation and knowledge management capacity. Technological Forecasting and Social Change, 136, 347–354. https://doi.org/10.1016/j.techfore.2017.02.034
17. OECD, CAF, y SELA. (2024). SME Policy Index: Latin America and the Caribbean 2024: Towards an inclusive, resilient and sustainable recovery. OECD Publishing. https://doi.org/10.1787/ba028c1d-en
18. Ristyawan, M. R. (2023). Decision making mechanism in resource based theory: A review. Cogent Business & Management, 10(3). https://doi.org/10.1080/23311975.2023.2247217
19. Acar, S. (2024). “A Review of Porter’s Generic Strategies: Strategy Examples in International
20. Herring, J. P. (1992). The role of intelligence in formulating strategy. Journal of Business Strategy, 13(5), 54–60. https://doi.org/10.1108/eb039498
21. Calof, J. L. (2025). Synergies between competitive intelligence and foresight: Towards a joint research agenda. Futures. https://doi.org/10.1016/j.futures.2025.103653
22. SCIP. (2023). Strategic and Competitive Intelligence Professionals. https://www.scip.org
23. Calof, J. L., y Sewdass, N. (2020). On the relationship between competitive intelligence and innovation. Journal of Intelligence Studies in Business, 10(2), 32–43.
24. Sewdass, N. (2020). Contemporary practices of intelligence support for decision-making. Foresight and STI Governance, 14(3), 70–81.
25. Teece, D. J. (2007). Explicating dynamic capabilities: The nature and microfoundations of sustainable enterprise performance. Strategic Management Journal, 28(13), 1319–1350. https://doi.org/10.1002/smj.640
26. Berges García, A. (2018). Contribución al desarrollo de modelos de vigilancia tecnológica e inteligencia competitiva y su implementación con plataformas web (Tesis doctoral, Universidad Politécnica de Madrid). Universidad Politécnica de Madrid. https://oa.upm.es/53211/
27. Moher, D., Liberati, A., Tetzlaff, J., y Altman, D. G. (2009). Preferred reporting items for systematic reviews and meta-analyses: The PRISMA statement. PLoS Medicine, 6(7), e1000097. https://doi.org/10.1371/journal.pmed.1000097
28. Page, M. J., McKenzie, J. E., Bossuyt, P. M., Boutron, I., Hoffmann, T. C., Mulrow, C. D., Shamseer, L., Tetzlaff, J. M., Akl, E. A., Brennan, S. E., Chou, R., Glanville, J., Grimshaw, J. M., Hróbjartsson, A., Lalu, M. M., Li, T., Loder, E. W., Mayo-Wilson, E., McDonald, S., ... Moher, D. (2021). The PRISMA 2020 statement: An updated guideline for reporting systematic reviews. BMJ, 372, n71. https://doi.org/10.1136/bmj.n71
29. Tranfield, D., Denyer, D., y Smart, P. (2003). Towards a methodology for developing evidence-informed management knowledge by means of systematic review. British Journal of Management, 14(3), 207–222. https://doi.org/10.1111/1467-8551.00375
30. Kitchenham, B. (2004). Procedures for performing systematic reviews (Technical Report TR/SE-0401). Keele University.
31. Snyder, H. (2019). Literature review as a research methodology: An overview and guidelines. Journal of Business Research, 104, 333–339. https://doi.org/10.1016/j.jbusres.2019.07.039
32. Firms” International Social Sciences Studies Journal, (eISSN:2587-1587) Vol:10, Issue:11; pp:1902-1918. DOI: https://doi.org/10.5281/zenodo.14218109
33. Morales-Rubiano, M., Ortiz-Riaga, C., y Duque-Oliva, E. (2017). Knowledge management in small firms: Empirical evidence. Revista Espacios, 38(57), 1–12.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Julio César Urueta Atencio, Kelly Maritza Bohórquez Barbosa, Oscar Armando Huerta Toledo (Autor/a)
This work is licensed under a Creative Commons Attribution 4.0 International License.
