Sustainable Competitive Intelligence Capability for Strategic Transformation in Provincial Vocational Colleges: Evidence from YVCS Under China’s Double High Plan
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Keywords

Sustainable Competitive Intelligence
Competitive Intelligence Capability
Intelligence Governance
Environmental Scanning
Strategic Intelligence
Institutional Competitiveness
Higher Vocational Education
Double High Plan

How to Cite

XU, R., & Chaumthong, P. (2026). Sustainable Competitive Intelligence Capability for Strategic Transformation in Provincial Vocational Colleges: Evidence from YVCS Under China’s Double High Plan. Journal of Sustainable Competitive Intelligence , 16, e0682. https://doi.org/10.37497/eagleSustainable.v16i.682

Abstract

Purpose: This study examines how Sustainable Competitive Intelligence (SCI) capabilities support the strategic transformation of vocational education institutions under China’s Double High Plan. Specifically, it investigates the role of intelligence governance, environmental scanning, benchmarking, intelligence dissemination, and evidence-based decision-making in enhancing the competitiveness of Yunnan Vocational College of Sports (YVCS).

Methodology/Approach: A concurrent mixed-methods design was adopted. Quantitative data were collected through a survey administered to 110 respondents and analyzed using reliability testing, KMO and Bartlett’s tests, correlation analysis, and multiple linear regression. Qualitative data were obtained through ten semi-structured interviews and institutional document analysis, with thematic coding conducted using NVivo. SWOT–RBV analysis was integrated and repositioned within a Sustainable Competitive Intelligence framework.

Originality/Relevance: The study contributes to the Competitive Intelligence literature by operationalizing Sustainable Competitive Intelligence as an organizational capability in vocational education. It extends traditional applications of Competitive Intelligence by demonstrating how vocational institutions can transform policy information, industry signals, benchmarking evidence, and internal resources into strategic actions that foster institutional competitiveness and sustainable development.

Key Findings: The findings indicate that strategic planning, talent-market intelligence, faculty development, external intelligence networks, and intelligence governance positively influence institutional competitiveness. Among these dimensions, intelligence governance demonstrated the strongest effect, highlighting the importance of coordinated decision-making structures and systematic intelligence processes for sustainable institutional transformation.

Theoretical/Methodological Contributions: The study advances the literature by proposing an integrated Sustainable Competitive Intelligence–RBV–SWOT framework that conceptualizes Competitive Intelligence as a multidimensional organizational capability. Methodologically, it provides empirical evidence through mixed-methods triangulation and offers a practical model for analyzing intelligence-driven strategic transformation in vocational education institutions.

https://doi.org/10.37497/eagleSustainable.v16i.682
PDF (Português (Brasil))

References

Atkinson, P., Hizaji, M., Nazarian, A., & Abasi, 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

Aurelio, B., Pablo, R., Iván, P., & Alberto, T. (2021). A framework for strategic intelligence systems applied to education management: A pilot study in the Community of Madrid. IEEE Access, 9, 75313–75323. https://doi.org/10.1109/ACCESS.2021.3081234

Barney, J. (1991). Firm resources and sustained competitive advantage. Journal of Management, 17(1), 99–120. https://doi.org/10.1177/014920639101700108

Benzaghta, M. A., Elwalda, A., Mousa, M. M., Erkan, I., & Rahman, M. (2021). SWOT analysis applications: An integrative literature review. Journal of Global Business Insights, 6(1), 54–71. https://doi.org/10.5038/2640-6489.6.1.1148

Basco, R., Hair, J. F., Ringle, C. M., & Sarstedt, M. (2022). Advancing family business research through modeling nonlinear relationships: Comparing PLS-SEM and multiple regression. Journal of Family Business Strategy, 13(3), 100457. https://doi.org/10.1016/j.jfbs.2021.100457

Billett, S. (2011). Vocational education: Purposes, traditions and prospects. Springer. https://link.springer.com/book/10.1007/978-94-007-1954-5

Bose, R. (2008). Competitive intelligence process and tools for intelligence analysis. Industrial Management & Data Systems, 108(4), 510–528. https://doi.org/10.1108/02635570810868362

Calof, J. L., & Wright, S. (2008). Competitive intelligence: A practitioner, academic and inter-disciplinary perspective. European Journal of Marketing, 42(7/8), 717–730. https://doi.org/10.1108/03090560810877114

Cheng, H., & Chen, C. (2022). Evolution of competitive intelligence research in the big data era. Information Processing & Management, 58(1), 102564. https://doi.org/10.1016/j.ipm.2021.102564

Cheung, G. W., Cooper-Thomas, H. D., Lau, R. S., & Wang, L. C. (2023). Reporting reliability, convergent and discriminant validity with structural equation modeling: A review and best-practice recommendations. Asia Pacific Journal of Management, 41(2), 745–783. https://doi.org/10.1007/s10490-023-09871-y

Cohen, L., Manion, L., & Morrison, K. (2018). Research methods in education (8th ed.). Routledge. https://doi.org/10.4324/9781315456539

Creswell, J. W., & Creswell, J. D. (2018). Research design: Qualitative, quantitative, and mixed methods approaches (5th ed.). Sage Publications.

De Las Heras-Rosas, C. J., & Herrera, J. (2021). Innovation and competitive intelligence in business: A bibliometric analysis. International Journal of Financial Studies, 9(2), 31. https://doi.org/10.3390/ijfs9020031

Field, A. P. (2018). Discovering statistics using IBM SPSS statistics (5th ed.). Sage Publications. https://profandyfield.com/discoverse/dsus/

Grundy, T. (2006). Rethinking and reinventing Michael Porter's five forces model. Strategic Change, 15(5), 213–229. https://doi.org/10.1002/jsc.764

Goretzko, D., Siemund, K., & Sterner, P. (2023). Evaluating model fit of measurement models in confirmatory factor analysis. Educational and Psychological Measurement, 84(1), 123–144. https://doi.org/10.1177/00131644231163813

Hair, J. F., Black, W. C., Babin, B. J., & Anderson, R. E. (2010). Multivariate data analysis (7th ed.). Pearson Prentice Hall. https://www.drnishikantjha.com/papersCollection/Multivariate%20Data%20Analysis.pdf

Ho, J. K. K. (2014). Formulation of a systemic PEST analysis for strategic analysis. European Academic Research, 2(5), 6478–6492. https://euacademic.org/UploadArticle/831.pdf

Hair, J. F., & Alamer, A. (2022). Partial Least Squares Structural Equation Modeling (PLS-SEM) in second language and education research: Guidelines using an applied example. Research Methods in Applied Linguistics, 1(3), 100027. https://doi.org/10.1016/j.rmal.2022.100027

Huang, C., Lin, X., Liu, M., Zhu, Y., Zhang, W., & You, Q. (2022). Reconstruction of the practical teaching system in higher vocational education based on the background of 'Double High-Levels' Plan. Proceedings of SEAA 2022, 1475–1482. https://doi.org/10.2991/978-2-494069-05-3_177

Huang, Y., Zhang, Y., Long, Z., Xu, D., & Zhu, R. (2021). How to improve entrepreneurship education in 'Double High-Level Plan' higher vocational colleges in China. Frontiers in Psychology, 12, 743997. https://doi.org/10.3389/fpsyg.2021.743997

Jin, X. (2024). Chinese technical and vocational education and training, skill formation, and national development: A systematic review of educational policies. Vocation, Technology & Education, 1(3), e24. https://doi.org/10.54844/vte.2024.0677

Kraus, S., Durst, S., Ferreira, J. J., Veiga, P., Kailer, N., & Weinmann, A. (2022). Digital transformation in business and management research: An overview of the current status quo. International Journal of Information Management, 63, 102466. https://doi.org/10.1016/j.ijinfomgt.2021.102466

Kock, N., & Hadaya, P. (2018). Minimum sample size estimation in PLS-SEM: The inverse square root and gamma-exponential methods. Information Systems Journal, 28(1), 227–261. https://doi.org/10.1111/isj.12131

Li, Z., Li, L., Hu, Y., Chen, M., & Zhang, Q. (2024). Research on the coupling relationship between professional clusters and industrial clusters in the Pearl River Delta region of China. Discrete Dynamics in Nature and Society, 2024, 8854841. https://doi.org/10.1155/2024/8854841

Lin, J., Jiang, X., Li, Q., & Wang, C. (2023). A competitive intelligence acquisition framework for mining user perception from user-generated content. Applied Soft Computing, 147, 110764. https://doi.org/10.1016/j.asoc.2023.110764

Lai, M. H. C. (2022). Composite reliability of multilevel data: It's about observed scores and construct meanings. Psychological Methods, 27(4), 568–588. https://doi.org/10.1037/met0000410

Ma, D. (2020). An analysis of the way to improve the teaching quality management level of higher vocational colleges against the background of 'Double High Plan.' Proceedings of ICESEI 2020, 236–240. https://doi.org/10.2991/assehr.k.201128.043

Maluleka, M. L., & Chummun, B. Z. (2023). Competitive intelligence and strategy implementation: Critical examination of present literature review. South African Journal of Information Management, 25(1), a1610. https://doi.org/10.4102/sajim.v25i1.1610

Marulanda-Grisales, M., & Vera-Acevedo, L. (2023). Analysis of core competences and competitive advantages in higher education institutions: An intellectual capital approach. Knowledge Management Research & Practice, 21(5), 957–971. https://doi.org/10.1080/14778238.2022.2118636

Matarazzo, M., Penco, L., Profumo, G., & Quaglia, R. (2021). Digital transformation and customer value creation in Made-in-Italy SMEs: A dynamic capabilities perspective. Journal of Business Research, 123, 642–656. https://doi.org/10.1016/j.jbusres.2020.10.033

Mgweba, C., Rawjee, V. P., & Naidoo, P. (2024). The use of competitive intelligence as a strategic tool for student recruitment in public universities. International Journal of Business Ecosystem & Strategy, 6(3), 196–203 https://doi.org/10.36096/ijbes.v6i3.523

Mo, Q., & Liao, X. (2023). Influencing factors and intervention strategies on employment stability of vocational graduates at the beginning of their career. International Journal of Education and Humanities, 8(2), 56–60. https://doi.org/10.54097/ijeh.v8i2.7590

Müller, A. (2024). Cooperation between colleges and companies: Vocational education, skill mismatches and China's turnover problem. The China Quarterly, 260, 986–1004. https://doi.org/10.1017/S0305741023001868

Oraee, N., Sanatjoo, A., & Ahanchian, M. R. (2020). The competitive intelligence diamond model with the approach to standing on the shoulders of giants. Library & Information Science Research, 42(2), 101004. https://doi.org/10.1016/j.lisr.2020.101004

Ranjan, J., & Foropon, C. (2021). Big data analytics in building the competitive intelligence of organizations. International Journal of Information Management, 56, 102231. https://doi.org/10.1016/j.ijinfomgt.2020.102231

Roemer, E., Schuberth, F., & Henseler, J. (2021). HTMT2 – An improved criterion for assessing discriminant validity in structural equation modeling. Industrial Management & Data Systems, 121(12), 2637–2650. https://doi.org/10.1108/IMDS-02-2021-0082

Sassi, D. B., Frini, A., Chaieb, M., & Karaa, W. B. A. (2022). A rough set-based competitive intelligence approach for anticipating competitor's action. Expert Systems with Applications, 204, 117523. https://doi.org/10.1016/j.eswa.2022.117523

State Council. (2019). Notice on issuing the implementation plan for national vocational education reform (Guofa [2019] No. 4). http://www.gov.cn/zhengce/content/2019-02/13/content_5365341.htm

Tashakkori, A., & Teddlie, C. (2020). Mixed methods research: Integrating quantitative and qualitative approaches in the social and behavioral sciences (3rd ed.). Sage Publications. https://methods.sagepub.com/book/mono/preview/foundations-of-mixed-methods-research-2e.pdf#_

Wen, C., & Zhang, T. (2022). Reform and practice of teaching method of combining education and training and combining morality and skill under the background of 'Double High Plan.' Frontiers in Educational Research, 5(5), 68–70. https://doi.org/10.25236/FER.2022.050513

Wu, Q., Yan, D., & 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

Xie, X., Yu, Y., & Wang, W. (2023). Impact of vocational core competencies of higher vocational students on innovative behavior. SAGE Open, 13(3). https://doi.org/10.1177/21582440231196661

Xue, Z., Xiao, M., Tang, W., & Guo, W. (2022). Considerations on the construction of dual-teacher faculty in higher vocational institutions under the background of Double High Plan. Proceedings of CDSD 2021, 63–66. https://doi.org/10.2991/assehr.k.220109.013

Zeng, D. (2024). Exploration and practice of vocational college development. SHS Web of Conferences, 183, 01018. https://doi.org/10.1051/shsconf/202418301018

Zhao, X., Wang, Y., Zhang, L., Chen, R., & Liu, M. (2024). Study on the matching degree of major groups and industrial groups in higher vocational colleges. Heliyon, 10(8), e29945. https://doi.org/10.1016/j.heliyon.2024.e29945

Zhou, B. Y., & Wang, Z. L. (2020). Connotation reconstruction and strategic choice of innovative development of higher vocational colleges under the background of 'Double High-Level Plan.' Journal of Higher Education Management, 14(3), 30–40. https://doi.org/10.13316/j.cnki.jhem.20200507.004

Zhou, Y., & Xu, G. (2023). Vocational school-enterprise cooperation in China: A review of policy reforms, 1978–2022. ECNU Review of Education. https://files.eric.ed.gov/fulltext/EJ1389977.pdf

Zong, C. (2024). The internationalization of China's vocational education: Value implications, practices and planning. Vocation, Technology & Education, 1(3), e25. https://doi.org/10.54844/vte.2024.0669

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