Competitive Intelligence Capability, Digital Transformation, and Strategic HRM Adjustment: Evidence from Chinese and Spanish Listed Companies
DOI:
https://doi.org/10.37497/eagleSustainable.v17i.502Keywords:
Competitive intelligence, Intelligence cycle, Digital transformation, Human resource management strategy, Sustainable competitive advantage, China, Spain, Panel dataAbstract
Purpose: This paper examines how competitive intelligence capability converts digital transformation into strategic human resource management strategy adjustment in listed companies from China and Spain.
Methodology/approach: Using a balanced panel dataset of 687 Chinese listed companies and 234 Spanish listed companies covering 2020-2024, the study applies two-way fixed-effects regression, instrumental-variable estimation, moderation analysis, heterogeneity analysis, and robustness tests. Competitive intelligence is operationalized through a Competitive Intelligence Capability Index based on collection, analysis, governance, dissemination, and actionable-response indicators extracted from annual reports and governance disclosures.
Originality/Relevance: The article responds directly to the Sustainable Competitive Intelligence agenda by treating competitive intelligence as an empirical organizational capability rather than a contextual label for digital transformation.
Key findings: CI-enabled digital transformation positively affects HRMS optimization, digital talent cultivation, and organizational flattening. The effect is stronger in Spain than in China, while state ownership and regional digital development condition the strength of the DT-HRMS relationship.
Theoretical/methodological contributions: The paper integrates the intelligence cycle, dynamic capabilities, and institutional theory, and proposes an operational route for measuring competitive intelligence capability in large-scale secondary-data studies.
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1. Bai, C.-E., Lu, J., & Tao, Z. (2006). The multitask theory of state enterprise reform: Empirical evidence from China. American Economic Review, 96(2), 353–357. https://doi.org/10.1257/000282806777212125 DOI: https://doi.org/10.1257/000282806777212125
2 Boehm, J., Dhingra, S., & Morrow, J. (2022). The comparative advantage of firms. Journal of Political Economy, 130(12), 3025-3100. https://doi.org/10.1086/720630 DOI: https://doi.org/10.1086/720630
3. Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital business strategy: Toward a next generation of insights. MIS Quarterly, 37(2), 471–482. https://doi.org/10.25300/MISQ/2013/37:2.3 DOI: https://doi.org/10.25300/MISQ/2013/37:2.3
4. Powell, W. W., & DiMaggio, P. J. (2023). The iron cage redux: Looking back and forward. Organization Theory, 4(4), 26317877231221550. https://doi.org/10.1177/26317877231221550 DOI: https://doi.org/10.1177/26317877231221550
5. Dishman, P. L., & Calof, J. L. (2008). Competitive intelligence: A multiphasic precedent to marketing strategy. European Journal of Marketing, 42(7/8), 766–785. https://doi.org/10.1108/03090560810877141 DOI: https://doi.org/10.1108/03090560810877141
6. Fleisher, C. S., & Bensoussan, B. E. (2015). Business and competitive analysis: Effective application of new and classic methods (2nd ed.). FT Press.
7. Hall, P. A., & Soskice, D. (Eds.). (2001). Varieties of capitalism: The institutional foundations of comparative advantage. Oxford University Press. https://doi.org/10.1093/0199247757.001.0001 DOI: https://doi.org/10.1093/0199247757.001.0001
8. Hassani, A., & Mosconi, E. (2022). 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 DOI: https://doi.org/10.1016/j.techfore.2021.121416
9. Hassani, A., & Mosconi, E. (2021). Competitive intelligence and absorptive capacity for enhancing innovation performance of SMEs. Journal of Intelligence Studies in Business, 11(1). https://doi.org/10.37380/jisib.v1i1.692 DOI: https://doi.org/10.37380/jisib.v1i1.692
10. Hanelt, A., Bohnsack, R., Marz, D., & Antunes Marante, C. (2021). A systematic review of the literature on digital transformation: Insights and implications for strategy and organizational change. Journal of Management Studies, 58(5), 1159–1197. https://doi.org/10.1111/joms.12639 DOI: https://doi.org/10.1111/joms.12639
11. Li, Y., Dai, J., & Cui, L. (2020). The impact of digital technologies on economic and environmental performance in the context of industry 4.0: A moderated mediation model. International Journal of Production Economics, 229, 107777. https://doi.org/10.1016/j.ijpe.2020.107777 DOI: https://doi.org/10.1016/j.ijpe.2020.107777
12. Martínez-Caro, E., Cegarra-Navarro, J. G., & Alfonso-Ruiz, F. J. (2020). Digital technologies and firm performance: The role of digital organisational culture. Technological Forecasting and Social Change, 154, 119962. https://doi.org/10.1016/j.techfore.2020.119962 DOI: https://doi.org/10.1016/j.techfore.2020.119962
13. Niu, Y., Wen, W., Wang, S., & Li, S. (2023). Breaking barriers to innovation: The power of digital transformation. Finance Research Letters, 51, 103457. https://doi.org/10.1016/j.frl.2022.103457 DOI: https://doi.org/10.1016/j.frl.2022.103457
14 Bango‐López, L., Gutiérrez‐López, C., Castro, P., & Lozano‐García, M. B. (2026). How Institutional Environments Shape the ESG–Growth Relation: Evidence From Europe. Corporate Social Responsibility and Environmental Management. https://doi.org/10.1002/csr.70584 DOI: https://doi.org/10.1002/csr.70584
15 Gomes, C. F., Yasin, M. M., Lisboa, J. V., & Small, M. H. (2014). Discerning competitive strategy through an assessment of competitive methods. The Service Industries Journal, 34(12), 974-998. https://doi.org/10.1080/02642069.2014.915946 DOI: https://doi.org/10.1080/02642069.2014.915946
16 López-Robles, J. R., Otegi-Olaso, J. R., Porto-Gómez, I., Gamboa-Rosales, H., & Gamboa-Rosales, N. K. (2020). Understanding the intellectual structure and evolution of Competitive Intelligence: A bibliometric analysis from 1984 to 2017. Technology analysis & strategic management, 32(5), 604-619. https://doi.org/10.1080/09537325.2019.1686136 DOI: https://doi.org/10.1080/09537325.2019.1686136
17. Peng, Y., & Tao, C. (2022). Can digital transformation promote enterprise performance?—From the perspective of public policy and innovation. Journal of Innovation & Knowledge, 7(3), 100198. https://doi.org/10.1016/j.jik.2022.100198 DOI: https://doi.org/10.1016/j.jik.2022.100198
18. Qian, Y., Ling, H., Meng, X., Jiang, Y., Chai, Y., & Liu, Y. (2024). Voice of the Professional: Acquiring competitive intelligence from large-scale professional generated contents. Journal of Business Research, 180, 114719. https://doi.org/10.1016/j.jbusres.2024.114719 DOI: https://doi.org/10.1016/j.jbusres.2024.114719
19. Sambamurthy, V., Bharadwaj, A., & Grover, V. (2003). Shaping agility through digital options: Reconceptualizing the role of information technology in contemporary firms. MIS Quarterly, 27(2), 237–263. https://doi.org/10.2307/30036530 DOI: https://doi.org/10.2307/30036530
20. Schallmo, D., Williams, C. A., & Boardman, L. (2017). Digital transformation of business models—best practice, enablers, and roadmap. International journal of innovation management, 21(08), 1740014. https://doi.org/10.1142/S136391961740014X DOI: https://doi.org/10.1142/S136391961740014X
21. Alharahsheh, H. H., & Pius, A. (2020). A review of key paradigms: Positivism VS interpretivism. Global academic journal of humanities and social sciences, 2(3), 39-43. DOI: 10.36348/gajhss.2020.v02i03.00
22. 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 DOI: https://doi.org/10.1002/smj.640
23 Vu, H. M. (2020). A review of dynamic capabilities, innovation capabilities, entrepreneurial capabilities and their consequences. The Journal of Asian Finance, Economics and Business, 7(8), 485-494. doi:10.13106/jafeb.2020.vol7.no8.485t DOI: https://doi.org/10.13106/jafeb.2020.vol7.no8.485
24. Tang, M., Liu, Y., Hu, F., & Wu, B. (2023). Effect of digital transformation on enterprises' green innovation: empirical evidence from listed companies in China. Energy Economics, 128, 107135. https://doi.org/10.1016/j.eneco.2023.107135 DOI: https://doi.org/10.1016/j.eneco.2023.107135
25. Vial, G. (2019). Understanding digital transformation: A review and a research agenda. Journal of Strategic Information Systems, 28(2), 118–144. https://doi.org/10.1016/j.jsis.2019.01.003 DOI: https://doi.org/10.1016/j.jsis.2019.01.003
26. Wooldridge, J. M. (2010). Econometric analysis of cross section and panel data (2nd ed.). MIT Press.
27. Wu, F., Hu, H., Lin, H., & Ren, X. (2021). Enterprise digital transformation and capital market performance: Empirical evidence from stock liquidity. Management World, 37(7), 130–144. https://doi.org/10.19744/j.cnki.11-1235/f.2021.0097
28. Yang, H., Liu, X., Meng, Y., Feng, B., & Chen, Z. (2024). Digital transformation and the allocation of decision-making rights within business groups–Empirical evidence from China. Journal of Business Research, 179, 114715. https://doi.org/10.1016/j.jbusres.2024.114715 DOI: https://doi.org/10.1016/j.jbusres.2024.114715
29. Zhai, H., Yang, M., & Chan, K. C. (2022). Does digital transformation enhance a firm's performance? Evidence from China. Technology in Society, 68, 101841. https://doi.org/10.1016/j.techsoc.2021.101841 DOI: https://doi.org/10.1016/j.techsoc.2021.101841
30. Zuboff, S. (1988). In the age of the smart machine: The future of work and power. Basic Books.
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