TRANSFORMATIONAL LEADERSHIP BEHAVIORS AND INNOVATIVE CULTURE: A CROSS-CULTURAL STUDY ON ADOPTION IN HONG-KONG, CHINESE MAINLAND, AND INDONESIA
DOI:
https://doi.org/10.70301/SBS.MONO.2026.1.3Keywords:
AI; Transformational Leadership; Innovative Culture; Cross-Cultural; Hong Kong; Mainland China; IndonesiaAbstract
The Government of the People’s Republic of China has designated technological progress as a core driver of national development, with strategic partnerships with ASEAN countries identified as a key priority. Amid the rapid evolution of artificial intelligence (AI) technologies, effective leadership and an innovative organizational culture are increasingly recognized as critical enablers of successful AI adoption and implementation. Adopting a sequential mixed-methods design, eight core themes underpinning effective AI adoption were first identified from semi-structured expert interviews with industry leaders and subject-matter specialists. This study then investigates the culturally contingent influence of transformational leadership (TFL) behaviors in fostering innovative cultures across three distinct contexts: Hong Kong, the Chinese Mainland, and Indonesia. Data were collected via an anonymous online survey administered to 757 employees (469 from Hong Kong, 111 from Mainland China, and 177 from Indonesia), designed to examine the relationships between top management’s TFL behaviors and innovative culture. Linear regression analyses were conducted using SPSS v. 31 to test these relationships. Findings indicate that none of the seven TFL behaviors exerted a significant influence on innovative culture uniformly across all three contexts; instead, their impacts varied substantially by region. For instance, in Hong Kong, The Top Management Team encourages others to innovate exhibited a moderate positive correlation with the cultural dimension Your organizational culture allows people to take risks and occasionally fail (B = 0.24, β = 0.22, p < 0.05); while in Indonesia, The Top Management Team goes beyond self-interest for the good of the group demonstrated the most pronounced influence (B = 0.19, β = 0.20, p < 0.05); while no TFL behaviors showed any significant correlation with this innovative culture dimension in Chinese Mainland. These results underscore that no singular TFL behavior can universally drive innovation across diverse cultural settings. This research offers valuable insights for tailoring leadership strategies to cultivate AI-enabling, innovative cultures, emphasizing the need for context-specific approaches to navigate the complexities of AI integration within the China-ASEAN tech collaboration framework. The findings contribute to the discourse on cross-cultural leadership and AI adoption, providing practical guidance for organizations operating in these dynamic regions.
References
Bai, Y., You, X., & Sun, Y. (2025). Transformational leadership, dual innovation, and organizational resilience. Current Psychology, 44(21), 17455-17473.
Bass, B. M. (1985). Leadership and Performance beyond Expectations. New York: The Free Press.
Bass, B. M. (2003). Face to face — Power to change: a conversation with Bernard M. Bass. Leadership in Action. Leadership in Action, 23(2), 9-11.
Becker, L., Coussement, K., Büttgen, M., & Weber, E. (2022). Leadership in innovation communities: The impact of transformational leadership language on member participation. Journal of Product Innovation Management, 39(3), 371-393.
Braun, V., & Clarke, V. (2006). Using thematic analysis in psychology. Qualitative Research in Psychology, 3(2), 77–101.
Cameron, K. S., & Quinn, R. E. (2006). Diagnosing and changing organizational culture: based on the competing values framework. San Francisco: John Wiley & Sons, Inc.
Catta-Preta, M., Omeñaca, A. T., Ferrer i Picó, J., & Monguet-Fierro, J. M. (2025). Innovation flow: a human–AI collaborative framework for managing innovation with Generative Artificial Intelligence. Appl. Sci. 2025, 15(22), 1-25.
Change, D. (2025). Influence of individualized consideration on employee engagement in parastatals in the energy sector in Kenya. International Journal of Research in Business & Social Science, 14(3), 78-87.
Chen, W., Zhang, J., & Cai, J. (2026). Big data capability, technical knowledge search, and green technology innovation: a mixed methods study. Journal of Innovation & Knowledge, 16, 1-13.
Choo, E. C., & Jiang, K. X. (2023, January 4). As China reopens to the world, Hong Kong must lean into super-connector role. Retrieved from South China Morning Post: https://www.scmp.com/print/comment/opinion/hong-kong/article/3205372/china-reopens-world-hong-kong-must-lean-super-connector-role
Cohen, J. (2013). Statistical power analysis for the behavioral sciences (2nd ed.). New York: Routledge.
Creswell, J. W., & Plano Clark, V. L. (2018). Designing and conducting mixed methods research (4th ed.). New York: Sage Publications, Inc.
Drucker, P. (1993). Innovation and Entrepreneurship: Practice and Principles. New York: Harper Collins Publishers, Inc.
Dumitrache, V. (2026). Managing workforce transformation in the age of artificial intelligence. FAIMA Business & Management Journal, 14(1), 100-115.
Field, A. (2024). Discovering statistics using IBM SPSS statistics (6th Ed.). Dublin: SAGE Publications Ltd.
Guo, Y. (2024). Investigating the impact of culture dimensions on Chinese citizens' continuous use of e-government websites: A cultural model-based study. Acta Psychologica, 244, 1-14.
Hadwale, S., & Iyengar, S. R. (2025). Integration of artificial intelligence in human resource management: a roadmap for sustainable organizational growth. European Economics Letters, 15(3), 3225-3247.
Harasis, A., Helalat, A., Alhelalat, J., & Aqrabawi, R. (2024). Linking transformational leadership and green innovation via employee performance. Economics: Innovative & Economic Research Journal / Casopis za Ekonomsku Teoriju i Analizu, 12(3), 363-378.
Javed, H., Goncalves, M., & Thirunavukkarasu, S. (2025). Innovative pathways: leveraging AI adoption and team dynamics for multinational corporation success. Businesses, 5(3), 28-55.
Judge, W. Q. (2012). Focusing on organizational change. Retrieved from Open Textbook Library: https://open.umn.edu/opentextbooks/textbooks/focusing-on-organizational-change
Kayago, K. R., Josephine, O., Omari, S., & Caleb, A. (2024). Effect of idealized influence dimension on organizational performance of the South Eastern Kenya Economic Bloc (SEKEB) counties: the moderating role of innovation. Journal of Business & Information Systems, 6(2), 322-334.
Kelley, L., MacNab, B., & Worthley, R. (2006). Crossvergence and cultural tendencies: A longitudinal test of the Hong Kong, Taiwan and United States banking sectors. Journal of International Management, 12(1), 67-84.
Kvale, S., & Brinkmann, S. (2015). InterViews: learning the craft of qualitative research interviewing. New York: Sage Publications, Inc.
Liu, C. (2025, September 19). China, ASEAN launch first ministerial AI dialogue. Retrieved from China.org.cn: http://www.china.org.cn/2025-09/19/content_118087545.shtml
Liu, H., Dust, S. B., Xu, M., & Ji, Y. (2021). Leader–follower risk orientation incongruence, intellectual stimulation, and creativity: a configurational approach. Personnel Psychology, 74(1), 143-173.
Mahaseth, H., & Zainab, F. (2025). Indonesia’s strategic use of ASEAN in balancing regional and global power dynamics. JANUS NET e-journal of International Relation, 16(2), 106-126.
Modak, K. C., Sharma, A., Bharathi, S. S., Radhakrishnan, G. V., & Kumar, D. G. (2025). Transforming workforce dynamics: the role of AI and automation in HRM. Advances in Consumer Research, 2(1), 186-192.
Moehrle, M. (2026). Embracing AI to unleash growth and innovation: an opportunity for corporate learning? Global Focus: The EFMD Business Magazine, 20(1), 20-27.
Mohammed, S. M. (2026). Workforce transformation: the role of artificial intelligence in the economics of government human resources in service ministries in KSA. International Journal of Productivity & Performance Management, 75(2), 672-691.
Mokoena, T., & Richter, J. (2026). A deep learning framework for modeling the impact of transformational leadership and organizational climate on continuous innovation capability. International Journal of Innovation Management & Organizational Behavior, 6(1), 1-10.
Moparthi, R., & Kopparthi, G. S. (2025). Transformational leadership in the pharmaceutical sector: driving business development and organizational growth. Advances in Consumer Research, 2(3), 96-104.
Muñoz-van den Eynde, A., Cornejo-Cañamares, M., Diaz-Garcia, I., & Muñoz, E. (2015). Measuring innovation culture: development and validation of a multidimensional questionnaire. Advances in Research, 4(2), 122-141.
Ortolano, L. F., & Gallegos, E. E. (2025). Advancing human‐AI collaboration in small and medium‐sized enterprises: a systems engineering approach. Systems Engineering, 1-18.
Owolabi, B. (2026). Human-AI collaboration models in organizational decision-making. SSRN Electronic Journal, 1-13.
Piaralal, S. K., Ramalingam, T., Zulkefli, N. A., Qazi, S., Haque, R., & Senathirajah, A. R. (2026). Transforming telecoms: how transformational leadership, creativity and innovation drive organizational performance. Administrative Sciences (2076-3387), 16(3), 150-171.
Rahmani, F., Jafarian, M., Sedighi, A., Hozsorkhi, M. H., & Alavi, S. S. (2025). Transformational leadership and its effects on employee creativity and innovation: a qualitative analysis in commercial organizations. International Journal of Innovation Management & Organizational Behavior, 5(6), 1-9.
Raina, K., Sharma, G. D., Taheri, B., Dev, D., & Chavriya, S. (2026). Artificial intelligence-driven management: Bridging innovation, knowledge creation, and sustainable business practices. Journal of Innovation & Knowledge, 11, 1-15.
Ritika, & Dahiya, M. (2025). A systematic literature review on the impact of artificial intelligence on employment dynamics. Advances in Consumer Research, 2(5), 2031-2037.
Tiffany, T., & Rosman, D. (2024). Understanding national culture in smart technology acceptance – a case of Indonesia and Australia. 9th International Conference on Business and Industrial Research (ICBIR 2024) (pp. 662-667). Bangkok: IEEE (Institute of Electrical and Electronics Engineers).
Tsui, A. S., & Farh, J.-l. L. (1997). Where guanxi matters: relational demography and guanxi in the Chinese context. Work and Occupations, 24(1), 56-79.
von Soest, C. (2022). Why do we speak to experts? Reviving the strength of the expert interview method. Perspectives on Politics, 20(2), 567–582.
Vu, T. K., & Hsieh, S.-H. (2026). Influence of project managers' inspirational motivation leadership style on coordination and performance of BIM construction projects. Journal of Management in Engineering, 42(1), 1-18.
Watson-Hemphill, K. (2024). Elements of innovation: How culture, advanced analytics and creativity enhance innovation. Lean & Six Sigma Review, 23(4), 22-28.
Wei, C., & Shen, Q. (2025). Strengthening ASEAN-Guangxi trade relations: enhancing regional integration and industrial collaboration. American Journal of Business Science Philosophy, 2(1), 150–168.
Wheatley, M. J. (2006). Leadership and the new science: discovering order in a chaotic world. San Francisco: Berrett-Koehler Publishers, Inc.
Wong, A. T. (2024). Assessing the mediating effect of team-member exchange on the relationship between transformational leadership and performance of people with disabilities: a study of Hong Kong employers of people with disabilities. Merits, 4, 211-223.
Wong, A. T., & Lau, N. N. (2025). Examining the mediating effects of innovative culture on the relationships of transformational leadership with employees’ affective organizational commitment and resilience, and how Hong Kong innovation and AI leaders demonstrate transformational leadership to drive sustainability. SBS Research Monograph, Chapter 5, 80-107.
Wooldridge, J. M. (2020). Introductory econometrics: a modern approach (7th ed.). Mason: South-Western Cengage Learning.
World Economic Forum, & Accenture. (2025). Transformation of Industries in the Age of AI - Blueprint to Action: China’s Path to AI-Powered Industry Transformation. Geneva: World Economic Forum.
Wu, F., & Liu, Z. (2024). An empirical analysis of the characteristics and determinants of the China–ASEAN science and technology cooperation network: insights from co-authored publications. Sustainability, 16(22), 1-24.
Zhang, J., & Ali, D. A. (2025). Artificial intelligence and employee empowerment in Chinese enterprise: an empirical study on Alibaba. Globus - An International Journal of Management & IT, 16(2), 58-61.
Zhang, J., & Wang, Z. (2023). Research on China-ASEAN cooperation and development of digital economy. Information and Communications Technology and Policy, 49(11), 75-80.
Additional Files
Published
Issue
Section
License
Copyright (c) 2026 Wong, A. , Nicole Nga Lai Lau (Author)

This work is licensed under a Creative Commons Attribution 4.0 International License.
Publication Agreement
This Publication Agreement ("Agreement") is made between the author(s) ("Author") and the SBS Journal of Applied Business Research ("Journal"). By submitting a manuscript for publication, the Author agrees to the following terms:
1. Grant of License
The Author retains full copyright ownership of the submitted and published work. The Author grants the Journal a non-exclusive license to publish, distribute, and archive the article in any format or medium, including but not limited to online and print versions.
2. Open Access and Licensing
All articles published in the Journal are fully open access under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This means that:
• The work can be freely used, shared, and adapted by anyone, provided that proper attribution is given to the original Author.
• The full license terms can be found at https://creativecommons.org/licenses/by/4.0/.
• No additional restrictions are placed on the use of published articles.
3. Author Responsibilities and Warranties
The Author guarantees that:
• The submitted work is original and has not been published or submitted for publication elsewhere.
• The work does not infringe on any third-party rights, including copyright, trademark, or proprietary rights.
• All necessary permissions for copyrighted materials used in the manuscript (e.g., figures, tables) have been obtained.
• The manuscript complies with ethical research standards and does not contain any form of plagiarism or falsified data.
4. Editorial and Publication Process
• The Journal reserves the right to perform editorial revisions for clarity, formatting, and consistency while maintaining the integrity of the Author’s work.
• The publication of an article is subject to peer review, and acceptance is not guaranteed upon submission.
5. Retraction and Corrections
• The Journal follows COPE (Committee on Publication Ethics) guidelines and reserves the right to retract, correct, or withdraw an article in cases of misconduct, errors, or ethical concerns.
6. Governing Law
This Agreement is governed by the laws of Switzerland. Any disputes arising under this Agreement shall be resolved in the courts of Zurich, Switzerland.
7. Agreement Acceptance
By submitting a manuscript, the Author acknowledges and agrees to the terms outlined in this Agreement.
Editor-In-Chief
Prof. Dr. Milos Petkovic






