Resumo
Objetivo: Este estudo conceitualiza a Inteligência Competitiva (CI) como uma capacidade de governança decisional baseada em inteligência, que estrutura a forma como as organizações selecionam, sequenciam e governam iniciativas de transformação digital sob condições de incerteza competitiva e de sustentabilidade. Em vez de modelar a CI como um antecedente tecnológico, o artigo a posiciona como a infraestrutura decisional por meio da qual a transformação digital contribui para resultados de otimização sustentável.
Metodologia/abordagem: Com base na Teoria das Capacidades Dinâmicas e na Visão Baseada em Recursos (RBV), o estudo desenvolve um framework centrado em inteligência (CI–DT–SOO) e o testa utilizando dados de survey de 200 empresas na China e na Espanha. Modelagem de Equações Estruturais por Mínimos Quadrados Parciais (PLS-SEM) e análise multigrupo são empregadas para examinar os caminhos decisórios orientados por inteligência em diferentes contextos institucionais.
Originalidade/Relevância: Respondendo diretamente aos padrões epistemológicos da Journal of Sustainable Competitive Intelligence, o estudo avança a CI como um sistema estruturado de inteligência que reduz a assimetria informacional e governa a tomada de decisão executiva. Vai além de modelos tecno-causais ao demonstrar empiricamente o papel da CI como arquitetura estratégica de decisão, e não como mera atividade descritiva de monitoramento.
Principais resultados: Os resultados mostram que a CI estrutura significativamente as decisões de transformação digital, as quais, por sua vez, viabilizam resultados de otimização sustentável. A transformação digital opera como um mecanismo de execução governado, e não como um impulsionador autônomo. Efeitos mais fortes de inteligência sobre decisão são observados em empresas chinesas, evidenciando diferenças institucionais nos regimes de utilização da inteligência.
Contribuições teóricas/metodológicas: O estudo integra as perspectivas da RBV e das Capacidades Dinâmicas para demonstrar que a competitividade sustentável emerge do desenvolvimento conjunto de capacidades de inteligência e digitais. Contribui para a teoria e a prática ao apresentar um modelo de otimização sustentável aplicável a diferentes contextos econômicos e ao oferecer implicações gerenciais para integrar CI às estratégias digitais e alinhar a transformação digital a objetivos econômicos, ambientais e sociais.
Referências
Al-Sahlawi, A. S. R., Hosseini, A., Sani, M. A., & Movaghar, M. (2024). Identifying and prioritizing the factors affecting online marketing strategies based on competitive intelligence in Iraqi telecommunication companies. Journal of Ecohumanism, 3(4), 2456–2475. https://doi.org/10.62754/joe.v3i4.3769
Alrashedi, A. K. (2023). The key criteria that determine the degree to which management’s use of competitive intelligence. Cogent Business & Management, 10(2), Article 2250553. https://doi.org/10.1080/23311975.2023.2250553
Alzghoul, A., Khaddam, A. A., Abousweilem, F., Irtaimeh, H. J., & Alshaar, Q. (2024). How business intelligence capability impacts decision-making speed, comprehensiveness, and firm performance. Information Development, 40(2), 220–233. https://doi.org/10.1177/02666669221108438
Arrosyid, A. F., Nugraha, A. S., & Maulana, H. (2026). Stakeholder theory approach in strategic management: A critical review and practical implications. Brilliant International Journal of Management and Tourism, 6(1), 65–73. https://doi.org/10.55606/bijmt.v6i1.6630
Atkinson, P., Hizaji, M., Nazarian, A., & Abbasi, A. (2022). Attaining organisational agility through competitive intelligence: The roles of strategic flexibility and organisational innovation. Total Quality Management & Business Excellence, 33(3–4), 297–317. https://doi.org/10.1080/14783363.2020.1842188
Bari, N., Chimhundu, R., & Chan, K. C. (2022). Dynamic capabilities to achieve corporate sustainability: A roadmap to sustained competitive advantage. Sustainability, 14(3), 1531. https://doi.org/10.3390/su14031531
Blaique, L., Abu-Salim, T., Mir, F. A., & O’Mahony, B. (2022). The impact of social and organisational capital on service innovation capability during COVID-19: The mediating role of strategic environmental scanning. European Journal of Innovation Management, 27(1), 1–26. https://doi.org/10.1108/ejim-01-2022-0023
Brewis, C., Dibb, S., & Meadows, M. (2023). Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms. Technological Forecasting and Social Change, 190, 122402. https://doi.org/10.1016/j.techfore.2023.122402
Chari, A., Niedenzu, D., Despeisse, M., Machado, C. G., Azevedo, J. D., Boavida-Dias, R., & Johansson, B. (2022). Dynamic capabilities for circular manufacturing supply chains—Exploring the role of Industry 4.0 and resilience. Business Strategy and the Environment, 31(5), 2500–2517. https://doi.org/10.1002/bse.3040
Chatterjee, S., Chaudhuri, R., Vrontis, D., & Thrassou, A. (2023). Revisiting the resource-based view (RBV) theory: From cross-functional capabilities perspective in post COVID-19 period. Journal of Strategic Marketing, 33(6), 822–837. https://doi.org/10.1080/0965254X.2023.2182447
Chen, Y., Li, J., & Zhang, J. (2022). Digitalisation, data-driven dynamic capabilities and responsible innovation: An empirical study of SMEs in China. Asia Pacific Journal of Management, 41(3), 1211–1251. https://doi.org/10.1007/s10490-022-09845-6
Cheng, W., Li, C., & Zhao, T. (2024). The stages of enterprise digital transformation and its impact on internal control: Evidence from China. International Review of Financial Analysis, 92, 103079. https://doi.org/10.1016/j.irfa.2024.103079
Choi, S., & Miller, K. (2023b). Organizational team formation: Projects, structures, and transactive memory. Industrial and Corporate Change, 32(5), 1000–1022. https://doi.org/10.1093/icc/dtad016
Ferreira, N. C., & Ferreira, J. J. (2024). The field of resource-based view research: Mapping past, present and future trends. Management Decision, 63(4), 1124–1153. https://doi.org/10.1108/md-10-2023-1908
Gökalp, E., & Martinez, V. (2021). Digital transformation capability maturity model enabling the assessment of industrial manufacturers. Computers in Industry, 132, 103522. https://doi.org/10.1016/j.compind.2021.103522
Harris, B., & Brooker, J. (2025). Environmental scanning: A look to the future. New Directions for Evaluation, 185–186, 33–41. https://doi.org/10.1002/ev.20633
Hassani, A., & Mosconi, E. (2021). Social media analytics, competitive intelligence, and dynamic capabilities in manufacturing SMEs. Technological Forecasting and Social Change, 175, 121416. https://doi.org/10.1016/j.techfore.2021.121416
Hye, A. (2023). Artificial intelligence in product marketing: Transforming customer experience and market segmentation. American Scholarly Research Conference Proceedings, 3(1), 132–159. https://doi.org/10.63125/58npbx97
Karami, M., & Hossain, M. (2023). Marketing intelligence and small firms’ performance: The role of entrepreneurial alertness and effectuation. Marketing Intelligence & Planning, 42(1), 168–189. https://doi.org/10.1108/mip-08-2023-0406
Kayyali, M. (2026). The role of digital platforms in shaping competitive intelligence strategies. In Competitive intelligence in the digital age: Strategies for business and technology leadership (pp. 24–47). IGI Global. https://doi.org/10.4018/979-8-3373-2690-0.ch008
Kırmızı, M., & Kocaoglu, B. (2022). Digital transformation maturity model development framework based on design science: Case studies in manufacturing industry. Journal of Manufacturing Technology Management, 33(7), 1319–1346. https://doi.org/10.1108/jmtm-11-2021-0476
Land, A., Gruchmann, T., Siems, E., & Beske-Janssen, P. (2022). Dynamic capabilities theory. In Handbook of theories for purchasing, supply chain and management research (pp. 378–398). Edward Elgar.
Lubis, N. W. (2022). Resource-based view (RBV) in improving company strategic capacity. Research Horizon, 2(6), 587–596. https://doi.org/10.54518/rh.2.6.2022.587-596
Meier, O., Gruchmann, T., & Ivanov, D. (2023). Circular supply chain management with blockchain technology: A dynamic capabilities view. Transportation Research Part E: Logistics and Transportation Review, 176, 103177. https://doi.org/10.1016/j.tre.2023.103177
Mele, G., Capaldo, G., Secundo, G., & Corvello, V. (2023). Revisiting the idea of knowledge-based dynamic capabilities for digital transformation. Journal of Knowledge Management, 28(2), 532–563. https://doi.org/10.1108/jkm-02-2023-0121
Omol, E. J. (2023). Organizational digital transformation: From evolution to future trends. Digital Transformation and Society, 3(3), 240–256. https://doi.org/10.1108/dts-08-2023-0061
Paul, J., Ueno, A., Dennis, C., Alamanos, E., Curtis, L., Foroudi, P., Kacprzak, A., Kunz, W. H., Liu, J., Marvi, R., Nair, S. L. S., Ozdemir, O., Pantano, E., Papadopoulos, T., Petit, O., Tyagi, S., & Wirtz, J. (2024). Digital transformation: A multidisciplinary perspective and future research agenda. International Journal of Consumer Studies, 48(2). https://doi.org/10.1111/ijcs.13015
Petzolt, S., Hölzle, K., Kullik, O., Gergeleit, W., & Radunski, A. (2022). Organisational digital transformation of SMEs—Development and application of a digital transformation maturity model for business model transformation. International Journal of Innovation Management, 26(3). https://doi.org/10.1142/S1363919622400175
Saraei, S., Sarraf, F., & Hamidian, M. (2026). Identifying factors affecting the financial decisions of managers with an emphasis on organizational intelligence and competitive intelligence and an inflated perception of literacy. Journal of Management Accounting and Auditing Knowledge, 15(60), 229–244. https://doi.org/10.22034/jmaak.2026.23987
Valaei, N., Rezaei, S., Bressolles, G., & Dent, M. M. (2021). Indispensable components of creativity, innovation, and FMCG companies’ competitive performance: A resource-based view (RBV) of the firm. Asia-Pacific Journal of Business Administration, 14(1), 1–26. https://doi.org/10.1108/apjba-11-2020-0420
Wu, Q., Yan, D., & Umair, M. (2022). 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
Zhao, S., Zhang, L., Peng, L., Zhou, H., & Hu, F. (2024). Enterprise pollution reduction through digital transformation? Evidence from Chinese manufacturing enterprises. Technology in Society, 77, 102520. https://doi.org/10.1016/j.techsoc.2024.102520
Zhuo, C., & Chen, J. (2023). Can digital transformation overcome the enterprise innovation dilemma: Effect, mechanism and effective boundary? Technological Forecasting and Social Change, 190, 122378. https://doi.org/10.1016/j.techfore.2023.122378

Este trabalho está licenciado sob uma licença Creative Commons Attribution 4.0 International License.
Copyright (c) 2026 Revista Inteligência Competitiva

