Exploring the Interplay between Business Economics and Global Trade
DOI:
https://doi.org/10.47616/jamrems.v4i3.537Keywords:
Business Economics, Global Trade, International MarketsAbstract
This study explores the interplay between Business Economics and global trade, focusing on how firms apply economic principles to navigate international markets. The primary aim is to understand how economic policies, risk management, and strategic decision-making processes influence global trade strategies. Utilizing a qualitative research methodology, the study involves in-depth interviews with business economists, trade experts, and senior executives from multinational corporations. Data collection centers on participants' experiences and insights regarding the impact of economic policies, risk management strategies, and decision-making processes in global trade contexts. Thematic analysis of the interview data reveals that firms actively use Business Economics to adapt to changing trade policies, manage risks such as currency fluctuations and geopolitical instability, and optimize their market entry and pricing strategies. The study highlights that businesses leveraging economic models and principles are better positioned to respond to external changes, mitigate risks, and capitalize on growth opportunities in the global market. These findings underscore the critical role of Business Economics in shaping effective global trade strategies and offer valuable insights for firms seeking to enhance their international operations.
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References
Atkin, D., & Donaldson, D. (2022). The role of trade in economic development. In Handbook of International Economics (Vol. 5, pp. 1-59). Elsevier.
Barkas, P., Honeck, D., & Rubio, E. (2020). International trade in travel and tourism services: Economic impact and policy responses during the COVID-19 crisis (No. ERSD-2020-11). WTO staff working paper.
Boylan, B. M., McBeath, J., & Wang, B. (2021). US–China relations: Nationalism, the trade war, and COVID-19. Fudan Journal of the Humanities and Social Sciences, 14(1), 23-40.
Brenner, B. (2018). Transformative sustainable business models in the light of the digital imperative—A global business economics perspective. Sustainability, 10(12), 4428.
Dreiling, M. C. (2020). Trade Globalization and Its Consequences. Challenges of Globalization and Prospects for an Inter-civilizational World Order, 263-291.
Fast, V., Schnurr, D., & Wohlfarth, M. (2023). Regulation of data-driven market power in the digital economy: Business value creation and competitive advantages from big data. Journal of Information Technology, 38(2), 202-229.
Fuertes, G., Alfaro, M., Vargas, M., Gutierrez, S., Ternero, R., & Sabattin, J. (2020). Conceptual framework for the strategic management: a literature review—descriptive. Journal of engineering, 2020(1), 6253013.
Ibn-Mohammed, T., Mustapha, K. B., Godsell, J., Adamu, Z., Babatunde, K. A., Akintade, D. D., ... & Koh, S. C. L. (2021). A critical analysis of the impacts of COVID-19 on the global economy and ecosystems and opportunities for circular economy strategies. Resources, Conservation and Recycling, 164, 105169.
Natakam, V. M., Nizamuddin, M., Tejani, J. G., Yarlagadda, V. K., Sachani, D. K., & Karanam, R. K. (2022). Impact of Global Trade Dynamics on the United States Rubber Industry. American Journal of Trade and Policy, 9(3), 131-140.
Pasupuleti, V., Thuraka, B., Kodete, C. S., & Malisetty, S. (2024). Enhancing supply chain agility and sustainability through machine learning: Optimization techniques for logistics and inventory management. Logistics, 8(3), 73.
Roscoe, S., Aktas, E., Petersen, K. J., Skipworth, H. D., Handfield, R. B., & Habib, F. (2022). Redesigning global supply chains during compounding geopolitical disruptions: the role of supply chain logics. International Journal of Operations & Production Management, 42(9), 1407-1434.
Shahzad, U., Doğan, B., Sinha, A., & Fareed, Z. (2021). Does Export product diversification help to reduce energy demand: Exploring the contextual evidences from the newly industrialized countries. Energy, 214, 118881.
Verma, R., Christiana, M. B. V., Maheswari, M., Srinivasan, V., Patro, P., Dari, S. S., & Boopathi, S. (2024). Intelligent Physarum Solver for Profit Maximization in Oligopolistic Supply Chain Networks. In AI and Machine Learning Impacts in Intelligent Supply Chain (pp. 156-179). IGI Global.
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