High-Tech Innovation and International Trade Policy: A Management Perspective
DOI:
https://doi.org/10.18034/ajtp.v13i1.761Keywords:
High-Tech Innovation, International Trade Policy, Management Strategy, Geopolitical Risk, Export ControlsAbstract
The research paper, High-Tech Innovation and International Trade Policy: A Management Perspective, makes a serious effort to examine the complex junction of cutting-edge technology and the evolving regulations of international trade. The study's primary goal is to determine how high-tech companies are actually responding to the pressure from new trade barriers that appear to be everywhere these days, such as export restrictions and intellectual property disputes. To give clarity, the study uses qualitative secondary data evaluation. To determine whether management strategies are still in use, it examines industry reports and policy briefs from the previous 10 years. The main findings indicate a substantial shift away from efficiency-first models toward a more resilience-focused approach, with managers willing to pay more for supply chain safety to mitigate geopolitical risks. To do well in today's world of different political parties, businesses need to use Dual-Track Innovation, which means making two versions of their technology. As a result, R&D resources are running out quickly. The study's policy implications stress that governments need to recognize that their trade restrictions are making it harder for their own businesses to develop new ideas. The conclusion states that if a high-tech company wants to succeed in the modern era, management must view trade policy as a critical strategic variable rather than merely a legal barrier. Having the best geopolitical fluency to negotiate this fragmented global market is now more important than simply having the best engineers.
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References
Beaulieu, E. (2019). The Future of Canadian Trade Policy: Three Symposia on Canada’s Most Pressing Trade Policy Challenges. The School of Public Policy Publications (SPPP), 12. https://doi.org/10.11575/sppp.v12i0.69000
Côté, C., Estrin, S. & Shapiro, D. (2020). Expanding the International Trade and Investment Policy Agenda: The Role of Cities and Services. Journal of International Business Policy, 3(3), 199-223. https://doi.org/10.1057/s42214-020-00053-x
Huang, X., Ma, L., Rao, L., Liu, Z. (2020). Determinants of Innovation Ecosystem in Underdeveloped Areas-Take Nanning High-Tech Zone in Western China as an Example. Journal of Open Innovation: Technology, Market, and Complexity, 6(4), 135. https://doi.org/10.3390/joitmc6040135
Ip, A., Law, K., Lau, A. (2021). The Impacts of Knowledge Management Practices on Innovation Activities in High- and Low-Tech Firms. Journal of Global Information Management, 29(6), 1-25. https://doi.org/10.4018/JGIM.20211101.oa41
Li-na, H., Yi-xiao, S. (2021). The Method of Measuring the Agglomeration Degree of High-Tech Industries and Its Influence Mechanism: Taking Guangdong Province as an Example. Mathematical Problems in Engineering, 2021. https://doi.org/10.1155/2021/5585398
Nusaiba, M. T., Devarapu, K., Jawad, M. A., Tasnim, H. (2025). AI and NLP in Social Good: Enhancing Emergency Response and Crisis Handling via Text Analytics. NEXG AI Review of America, 6(1), 14-33.
Pan, K., He, F., Liu, R. (2022). Does High-Tech Industry Agglomeration Promote Its Export Product Upgrading?-Based on the Perspective of Innovation and Openness. Sustainability, 14(13), 8148. https://doi.org/10.3390/su14138148
Raišienė, A. G., Yatsenko, O., Nitsenko, V., Karasova, N., Vojtovicova, A. (2019). Global Dominants of Chinese Trade Policy Development: Opportunities and Threats for Cooperation with Ukraine. Journal of International Studies, 12(1). https://doi.org/10.14254/2071-8330.2019/12-1/13
Shabbir, M. N., Wang, L., Arshad, M. U. (2022). Trade Policy Uncertainty and Medical Innovation: Evidence from Developing Nations. Economies, 10(9), 224. https://doi.org/10.3390/economies10090224
Shinwary, S. S. & Rahman, K. (2024). Leadership and Management Practices in Healthcare Organizations: Insights from Bangladesh. Malaysian Journal of Medical and Biological Research, 11(1), 39-49. https://doi.org/10.5281/zenodo.18710532
Shinwary, S. S. (2023). Managerial Readiness for Artificial Intelligence Adoption in South Asia: A Conceptual Review. NEXG AI Review of America, 4(1), 17-33.
Shinwary, S. S., Allam, A. R., Jawad, M. A. (2025). Exploring the Management Dimensions of Robotics-Enabled Organizations. Robotics Xplore, 2(1), 47-59.
Shinwary, S. S., Nusaiba, M. T., Tuli, F. A., Sadia, R. (2025). Managing Human Resources in Industry 4.0: Implications for Engineering Organizations. Silicon Valley Tech Review, 4(1), 1-13.
Tasnim, H., Ahmed, A. A. A., & Rahman, K. (2024). The Neural Networked Scholar: How AI is Shaping the Future of Knowledge Dissemination. Silicon Valley Tech Review, 3(1), 14-28.
Xingjia Q. (2022). Empirical Analysis of the Impact of High and New Technology on the Export of Traditional Cultural Industry Based on Random Matrix Theory. Mathematical Problems in Engineering, 2022. https://doi.org/10.1155/2022/1653961
Zou, L., Cao, X-z., Yi-wen, Z. (2021). Research on Regional High-Tech Innovation Efficiency and Influence Factors: Evidence from Yangtze River Economic Belt in China. Complexity, 2021. https://doi.org/10.1155/2021/9946098
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