Abualoush,
S. (2025). The nexus of knowledge
management processes and innovation performance: the moderates of big data
analytical. Kybernetes, 54(3), 1716-1735. https://doi.org/10.1108/k-01-2023-0056
Alkhatib,
A. W., & Valeri, M. (2024). Can intellectual
capital promote the competitive advantage? Service innovation and big data
analytics capabilities in a moderated mediation model. European Journal of
Innovation Management, 27(1), 263-289. https://doi.org/10.1108/ejim-04-2022-0186
Báo
Điện tử Chính phủ. (2025). TOÀN VĂN: Nghị quyết 57-NQ/TW về đột phá phát triển
khoa học, công nghệ, đổi mới sáng tạo và chuyển đổi số quốc gia. Truy cập từ https://xaydungchinhsach.chinhphu.vn/toan-van-nghi-quyet-ve-dot-pha-phat-trien-khoa-hoc-cong-nghe-doi-moi-sang-tao-va-chuyen-doi-so-quoc-gia-119241224180048642.htm
Bashir,
M., & Pradhan, S. (2023). The
influence of knowledge-oriented leadership on business model innovation and
open innovation: Mediating role of absorptive capacity. Management Decision.
https://doi.org/10.1108/MD-10-2022-1481
Bộ
Khoa học và Công nghệ. (2025). Quyết định số 1567/QĐ-BKHCN của Bộ Khoa học
và Công nghệ: Quyết định ban hành Bộ tiêu chí đánh giá mức độ chuyển đổi số
doanh nghiệp, ban hành ngày 30/6/2025. Truy cập từ http://mst.gov.vn/van-ban-phap-luat/25121.htm
Chughtai,
M. S., & Khan, H. S. (2024). Knowledge oriented leadership and employees’
innovative performance: a moderated mediation model. Current Psychology, 43(4),
3426-3439. https://doi.org/10.1007/s12144-023-04502-7
Cohen,
W. M., & Levinthal, D. A. (1990).
Absorptive capacity: A new perspective on learning and innovation. Administrative
Science Quarterly, 35(1), 128-152.
https://doi.org/10.2307/2393553
Donate,
M. J., & de Pablo, J. D. S. (2015). The role of knowledge-oriented
leadership in knowledge management practices and innovation. Journal of
Business Research, 68(2), 360-370. https://doi.org/10.1016/j.jbusres.2014.06.022
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
Fulgence,
B. E., Hu, X., Larbi-Siaw, O., Tuo, S. J., &
Gnahe, F. E. (2023). Impact of knowledge absorptive capacity on innovative
performance in SMEs: Mediating effect of cluster environment. Kybernetes, 52(12),
6001-6024.
https://doi.org/10.1108/K-03-2022-0373
Fuller,
C. M., Simmering, M. J., Atinc, G., Atinc, Y., &
Babin, B. J. (2016). Common methods variance detection in business research. Journal
of Business Research, 69(8), 3192-3198.
https://doi.org/10.1016/j.jbusres.2015.12.008
Gonzalez,
R. V. D. (2024). The impact of potential and realized absorptive capacity on
open innovation: The moderating role of knowledge-oriented leadership. Journal
of Knowledge Management, 28(8), 2413-2432.
https://doi.org/10.1108/JKM-11-2023-1102
Goswami,
A. K., Sinha, A., Goswami, M., & Kumar, P. (2025). Explicating the mapping
between big data and knowledge management: a systematic literature review and
future directions. Benchmarking: An International Journal, 32(4),
1224-1266. https://doi.org/10.1108/bij-09-2022-0550
Hair,
J. F., Howard, M. C., & Nitzl, C. (2020).
Assessing measurement model quality in PLS-SEM using confirmatory composite
analysis. Journal of Business Research, 109, 101-110. https://doi.org/10.1016/j.jbusres.2019.11.069
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 Nature. https://doi.org/10.1007/978-3-030-80519-7
Hair,
J. F., Ringle, C. M., & Sarstedt, M. (2011).
PLS-SEM: Indeed a silver bullet. Journal of Marketing Theory and Practice,
19(2), 139-152.
https://doi.org/10.2753/MTP1069-6679190202
Hair,
J. F., Ringle, C. M., & Sarstedt, M. (2013).
Partial least squares structural equation modeling: Rigorous applications,
better results and higher acceptance. Long Range Planning, 46(1-2), 1-12.
https://doi.org/10.1016/j.lrp.2013.01.001
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
Hock,
M., & Ringle, C. M. (2010). Local
strategic networks in the software industry: an empirical analysis of the value
continuum. International Journal of Knowledge Management Studies, 4(2),
132-151.
https://doi.org/10.1504/IJKMS.2010.030789
Hu,
L. T., & Bentler, P. M. (1999). Cutoff criteria for fit indexes in
covariance structure analysis: Conventional criteria versus new alternatives. Structural
Equation Modeling: A Multidisciplinary Journal, 6(1), 1-55.
https://doi.org/10.1080/10705519909540118
Jia,
S., Khassawneh, O., Mohammad, T., & Cao, Y. (2024).
Knowledge-oriented leadership and project employee performance: the roles of
organisational learning capabilities and absorptive capacity. Current
Psychology, 43(10), 8825-8838.
https://doi.org/10.1007/s12144-023-05024-y
Kock,
N., & Lynn, G. S. (2012). Lateral
collinearity and misleading results in variance-based SEM: An illustration and
recommendations. Journal of the Association for Information Systems, 13(7),
546-580. https://doi.org/10.17705/1jais.00302
Kwon, I.-D., Ginolin, A.,
& Stegmann, H. (2024). Leading with GenAI/AI: How Vietnamese companies
can stay ahead. Retrieved from Boston Consulting Group:
https://web-assets.bcg.com/2a/67/e7cb4c344e79950de96d66b9d08b/leading-with-genaiai-how-vietnamese-companies-can-stay-ahead-pdf.pdf
Le,
P. T., & Le, P. B. (2025). Influence of knowledge-oriented leadership and
knowledge sharing on radical and incremental innovation: the moderating role of
market turbulence. VINE Journal of Information and Knowledge
Management Systems, 55(1), 56-73. https://doi.org/10.1108/vjikms-07-2022-0238
Le,
T. T., & Le, P. B. (2023). High-involvement HRM practices stimulate
incremental and radical innovation: The roles of knowledge sharing and market
turbulence. Journal of Open Innovation: Technology, Market, and Complexity,
9(1), 100006. https://doi.org/10.1016/j.joitmc.2023.02.003
Lozada,
N., Arias-Pérez, J., & Henao-García, E. A. (2023). Unveiling the effects of
big data analytics capability on innovation capability through absorptive
capacity: why more and better insights matter. Journal of Enterprise
Information Management, 36(2), 680-701. https://doi.org/10.1108/JEIM-02-2021-0092
Makhloufi,
L. (2024). Do knowledge sharing and big data analytics capabilities matter for
green absorptive capacity and green entrepreneurship orientation? Implications
for green innovation. Industrial Management & Data Systems, 124(3),
978-1004. https://doi.org/10.1108/IMDS-07-2023-0508
Malik,
M., Abbas, M., & Imam, H. (2023).
Knowledge-oriented leadership and workers’ performance: do individual knowledge
management engagement and empowerment matter? International Journal of
Manpower, 44(7), 1382-1398.
https://doi.org/10.1108/IJM-07-2022-0302
Mikalef,
P., Boura, M., Lekakos, G., & Krogstie, J. (2019). Big data analytics
capabilities and innovation: The mediating role of dynamic capabilities and
moderating effect of the environment. British Journal of Management, 30(2),
272-298. https://doi.org/10.1111/1467-8551.12343
Naqshbandi,
M. M., & Jasimuddin, S. M. (2018).
Knowledge-oriented leadership and open innovation: Role of knowledge management
capability in France-based multinationals. International Business Review, 27(3),
701-713.
https://doi.org/10.1016/j.ibusrev.2017.12.001
Naqshbandi,
M. M., & Jasimuddin, S. M. (2022). The linkage between open innovation,
absorptive capacity and managerial ties: A cross-country perspective. Journal
of Innovation & Knowledge, 7(2), 100167. https://doi.org/10.1016/j.jik.2022.100167
Podsakoff,
P. M., MacKenzie, S. B., Lee, J. Y., & Podsakoff, N. P. (2003). Common
method biases in behavioral research: A critical review of the literature and
recommended remedies. Journal of Applied Psychology, 88(5), 879-903. https://doi.org/10.1037/0021-9010.88.5.879
PwC.
(2024). PwC’s Global NextGen Survey 2024 - Vietnam report: Succeeding in an
AI-driven world.
https://www.pwc.com/vn/en/publications/2024/nextgen-survey-2024.pdf
Rangus,
K., Drnovšek, M., Minin, A. D., & Spithoven, A. (2017). The role of open
innovation and absorptive capacity in innovation performance: Empirical
evidence from Slovenia. Journal of East European Management Studies, 22(1),
39-62. https://doi.org/10.5771/0949-6181-2017-1-39
Zadeh,
M. R., Hackney, R., & Zeng, J. (2022). Augmenting learning processes of
absorptive capacity for innovation: Insights for effective leadership within
global pharmaceutical companies. European Management Review, 19(2),
263-284. https://doi.org/10.1111/emre.12477
Schmidt,
D. H., van Dierendonck, D., & Weber, U. (2023). The data-driven leader:
developing a big data analytics leadership competency framework. Journal of
Management Development, 42(4), 297-326. https://doi.org/10.1108/JMD-12-2022-0306
Tariq,
R., Wang, Y., & Latif, K. F. (2025). Entrepreneurial leadership for project
success through big data capabilities, sustainable resilience and knowledge
sabotage behaviour. International Journal of Organization Theory &
Behavior, 28(4), 397-425. https://doi.org/10.1108/IJOTB-02-2024-0015
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%3C509::AID-SMJ882%3E3.0.CO;2-Z
Wamba,
S. F., Gunasekaran, A., Akter, S., Ren, S. J., Dubey, R., & Childe, S. J. (2017). Big data analytics and firm
performance: Effects of dynamic capabilities. Journal of Business Research,
70, 356-365.
https://doi.org/10.1016/j.jbusres.2016.08.009
Elsner, M., Atkinson, G.,
& Zahidi, S. (2025). Global Risks Report 2025. Retrieved from World
Economic Forum: https://www.weforum.org/publications/global-risks-report-2025/