Tác động AI đến hiệu suất bền vững: Vai trò trung gian của năng lực động xanh và đổi mới sáng tạo xanh tại các doanh nghiệp ngành chế biến chế tạo ở Việt Nam

Abdul-Rashid, S. H., Sakundarini, N., Ghazilla, R. A. R., & Thurasamy, R. (2017). The impact of sustainable manufacturing practices on sustainability performance: Empirical evidence from Malaysia. International Journal of Operations & Production Management, 37(2), 182-204. https://doi.org/10.1108/IJOPM-04-2015-0223

Al Halbusi, H., Al-Sulaiti, K. I., Alalwan, A. A., & Al-Busaidi, A. S. (2025). AI capability and green innovation impact on sustainable performance: Moderating role of big data and knowledge management. Technological Forecasting and Social Change, 210, 123897. https://doi.org/10.1016/j.techfore.2024.123897

Asadi, S., OmSalameh Pourhashemi, S., Nilashi, M., Abdullah, R., Samad, S., Yadegaridehkordi, E., Aljojo, N., & Razali, N. S. (2020). Investigating influence of green innovation on sustainability performance: A case on Malaysian hotel industry. Journal of Cleaner Production, 258, 120860. https://doi.org/10.1016/j.jclepro.2020.120860

Barney, J. B. (2001). Resource-based theories of competitive advantage: A ten-year retrospective on the resource-based view. Journal of Management, 27(6), 643-650. https://doi.org/10.1177/014920630102700602

Belhadi, A., Mani, V., Kamble, S. S., Khan, S. A. R., & Verma, S. (2024). Artificial intelligence-driven innovation for enhancing supply chain resilience and performance under the effect of supply chain dynamism: An empirical investigation. Annals of Operations Research, 333(2–3), 627–652. https://doi.org/10.1007/s10479-021-03956-x

Cassânego, V. M., Moralles, H. F., Nascimento, D. L. D. M., & Tortorella, G. L. (2025). Exploring the role of open innovation and artificial intelligence in green innovation: A dynamic capabilities approach. Journal of Innovation & Knowledge, 10(5), 100774. https://doi.org/10.1016/j.jik.2025.100774

Chang, C.-H. (2011). The influence of corporate environmental ethics on competitive advantage: The mediation role of green innovation. Journal of Business Ethics, 104(3), 361-370. https://doi.org/10.1007/s10551-011-0914-x

Chen, Y., & Chang, C. (2013). Towards green trust: The influences of green perceived quality, green perceived risk, and green satisfaction. Management Decision, 51(1), 63-82. https://doi.org/10.1108/00251741311291319

Chen, Y.-S., Chang, T.-W., Lin, C.-Y., Lai, P.-Y., & Wang, K.-H. (2016). The influence of proactive green innovation and reactive green innovation on green product development performance: The mediation role of green creativity. Sustainability, 8(10), 966. https://doi.org/10.3390/su8100966

Cheng, K., Sun, Z., Liu, X., Wu, H., & Li, C. (2024). Generative artificial intelligence is infiltrating peer review process. Critical Care, 28(1), 149. https://doi.org/10.1186/s13054-024-04933-z

Cohen, J. (2013). Statistical Power Analysis for the Behavioral Sciences (2nd ed.). Routledge. https://doi.org/10.4324/9780203771587

Cuthbertson, R. W., & Furseth, P. I. (2022). Digital services and competitive advantage: Strengthening the links between RBV, KBV, and innovation. Journal of Business Research, 152, 168-176. https://doi.org/10.1016/j.jbusres.2022.07.030

Dinh, C. T.-H., & Tran, N. P. (2025). Artificial intelligence and sustainable performance: Identifying the pivotal role of green intellectual capital and green innovation. Business Process Management Journal, 1-22. https://doi.org/10.1108/BPMJ-12-2024-1165

Feng, F., Li, J., Zhang, F., & Sun, J. (2024). The impact of artificial intelligence on green innovation efficiency: Moderating role of dynamic capability. International Review of Economics & Finance, 96, 103649. https://doi.org/10.1016/j.iref.2024.103649

Fornell, C., & Larcker, D. F. (1981). Evaluating structural equation models with unobservable variables and measurement error. Journal of Marketing Research, 18(1), 39-50. https://doi.org/10.2307/3151312

Gazi, M. A. I., Rahman, M. K. H., Masud, A. A., Amin, M. B., Chaity, N. S., Senathirajah, A. R. S., & Abdullah, M. (2024). AI capability and sustainable performance: Unveiling the mediating effects of organizational creativity and green innovation with knowledge sharing culture as a moderator. Sustainability, 16(17), 7466. https://doi.org/10.3390/su16177466

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021). Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook. Springer. https://doi.org/10.1007/978-3-030-80519-7

Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019). When to use and how to report the results of PLS-SEM. European Business Review, 31(1), 2-24. https://doi.org/10.1108/EBR-11-2018-0203

Hair, J., Hult, G. T. M., Ringle, C., & Sarstedt, M. (2014). A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) (2nd ed.). Sage Publications, Inc.

Haug, A., Wickstrøm, K. A., & Stentoft, J. (2025). Conceptualizing green dynamic capabilities as a two-path model: Evidence from Danish manufacturing firms. Journal of Cleaner Production, 511, 145657. https://doi.org/10.1016/j.jclepro.2025.145657

Henseler, J., Ringle, C. M., & Sarstedt, M. (2015). A new criterion for assessing discriminant validity in variance-based structural equation modeling. Journal of the Academy of Marketing Science, 43(1), 115–135. https://doi.org/10.1007/s11747-014-0403-8

Hmaidan, R. A., ur Rehman, H. I., Akram, I., & Zuagaili, A. A. M. (2025). Leveraging artificial intelligence (AI) capability and sustainability orientation for sustainable performance: Mediating role of green innovation in Malaysian manufacturing sector. Sustainable Trends and Business Research, 3(1), 22-35. https://doi.org/10.70291/stbr.3.1.2025.39

Hoyle, R. H. (1995). Structural Equation Modeling: Concepts, Issues, and Applications. Sage Publications, Inc.

Kalyar, M. N., Pierscieniak, A., & Shafique, M. (2024). Leveraging green innovation from big data analytics: Examining the role of resource orchestration and green dynamic capabilities. Journal of Entrepreneurship, Management and Innovation, 20(4), 73-87. https://doi.org/10.7341/20242044

Khan, A. N., Mehmood, K., & Kwan, H. K. (2024). Green knowledge management: A key driver of green technology innovation and sustainable performance in the construction organizations. Journal of Innovation & Knowledge, 9(1), 100455. https://doi.org/10.1016/j.jik.2023.100455

Kline, R. B. (2016). Principles and Practices of Structural Equation Modelling. Methodology in the Social Sciences. NY: The Guilford Press.

Krakowski, S., Luger, J., & Raisch, S. (2023). Artificial intelligence and the changing sources of competitive advantage. Strategic Management Journal, 44(6), 1425-1452. https://doi.org/10.1002/smj.3387

Lin, J., Zeng, Y., Wu, S., & Luo, X. (Robert). (2024). How does artificial intelligence affect the environmental performance of organizations? The role of green innovation and green culture. Information & Management, 61(2), 103924. https://doi.org/10.1016/j.im.2024.103924

Mubeen, A., Nisar, Q. A., Patwary, A. K., Rehman, S., & Ahmad, W. (2024). Greening your business: Nexus of green dynamic capabilities, green innovation and sustainable performance. Environment, Development and Sustainability, 26(9), 22747-22773. https://doi.org/10.1007/s10668-023-03574-6

Shan, B., Liu, K., Lu, X., & Liu, X. (2025). Artificial intelligence, knowledge coupling, and dynamic capabilities in China’s GEM listed enterprises: The role of human–AI collaboration. Journal of Knowledge Management. https://doi.org/10.1108/JKM-04-2025-0588

Sharif, A., Kocak, S., Khan, H. H. A., Uzuner, G., & Tiwari, S. (2023). Demystifying the links between green technology innovation, economic growth, and environmental tax in ASEAN-6 countries: The dynamic role of green energy and green investment. Gondwana Research, 115, 98-106. https://doi.org/10.1016/j.gr.2022.11.010

Sun, J., Peng, Y., Liang, Z., Zhou, Y., & Li, L. (2025). AI-Driven synergies: The role of artificial intelligence in enhancing green product innovation for environmental and organizational performance in China’s petrochemical industry. Open Access Library Journal, 12. https://doi.org/10.4236/oalib.1113579

Teece, D. J. (2017). Dynamic capabilities and (digital) platform lifecycles. In J. Furman, A. Gawer, B. S. Silverman, & S. Stern (Eds.), Advances in Strategic Management (Vol. 37, pp. 211-225). Emerald Publishing Limited. https://doi.org/10.1108/S0742-332220170000037008

Teece, D. J., Pisano, G., & Shuen, A. (1997). Dynamic capabilities and strategic management. Strategic Management Journal, 18(7), 509–533. https://doi.org/10.1002/(SICI)1097-0266(199708)18:7%253C509::AID-SMJ882%253E3.0.CO;2-Z

Thủ tướng Chính phủ. (2021). Quyết định số 1658/QĐ-TTg, Chiến lược quốc gia về tăng trưởng xanh thời kỳ 2021-2030, tầm nhìn 2050, ban hành ngày 01/10/2021. Truy cập từ https://vanban.chinhphu.vn/?pageid=27160&docid=204226

Thủ tướng Chính phủ. (2025). Quyết định số 232/QĐ-TTg, Đề án phát triển thị trường carbon tại Việt Nam, ban hành ngày 24/01/2025. Truy cập từ https://vanban.chinhphu.vn/?pageid=27160&docid=212592

Ullah, S., Kukreti, M., Sami, A., & Shaukat, M. R. (2025). Leveraging technological readiness and green dynamic capability to enhance sustainability performance in manufacturing firms. Journal of Manufacturing Technology Management, 36(3), 714-730. https://doi.org/10.1108/JMTM-05-2024-0268

Uwaoma, P. U., Eleogu, T. F., Okonkwo, F., Farayola, O. A., Kaggwa, S., & Akinoso, A. (2024). AI’s role in sustainable business practices and environmental management. International Journal of Research and Scientific Innovation, 10(12), 359-379. https://doi.org/10.51244/IJRSI.2023.1012029

Wang, F. (2023). Research on the application of artificial intelligence technology to promote the high-quality development path of manufacturing industry. SHS Web of Conferences, 2022 International Conference on Public Service, Economic Management and Sustainable Development (PESD 2022), 154(03001). https://doi.org/10.1051/shsconf/202315403001

Wang, G., Niu, Y., Mansor, Z. D., Leong, Y. C., & Yan, Z. (2024). Unlocking digital potential: Exploring the drivers of employee dynamic capability on employee digital performance in Chinese SMEs-moderation effect of competitive climate. Heliyon, 10(4), e25583. https://doi.org/10.1016/j.heliyon.2024.e25583

Wong, S. K. S. (2013). Environmental requirements, knowledge sharing and green innovation: Empirical evidence from the electronics industry in China. Business Strategy and the Environment, 22(5), 321-338. https://doi.org/10.1002/bse.1746

Xiao, Y., & Xiao, L. (2025). The impact of artificial intelligence-driven ESG performance on sustainable development of central state-owned enterprises listed companies. Scientific Reports, 15(1), 8548. https://doi.org/10.1038/s41598-025-93694-y

Yin, K., Cai, F., & Huang, C. (2023). How does artificial intelligence development affect green technology innovation in China? Evidence from dynamic panel data analysis. Environmental Science and Pollution Research, 30(10), 28066-28090. https://doi.org/10.1007/s11356-022-24088-0

Ying, Y., & Jin, S. (2024). Artificial intelligence and green product innovation: Moderating effect of organizational capital. Heliyon, 10(7), e28572. https://doi.org/10.1016/j.heliyon.2024.e28572