This study analyzed the impacts of tariff policies on supply chain accounting and strategic
management within the context of U.S.–China trade relations, with the specific objectives of
examining supply chain restructuring, accounting adjustments, and strategic responses to tariff
risks. An exploratory research design was adopted to capture the complexity of tariff effects
across sourcing, logistics, production, cost management, and long-term strategy. Data were
collected from secondary sources such as published articles, peer-reviewed journals, and
policy papers, ensuring a broad coverage of perspectives. The study employed thematic
analysis as the method of data interpretation, identifying recurring patterns on supply chain
disruption, financial reporting adjustments, and strategic diversification. The findings revealed
that tariffs have had profound effects on sourcing decisions, as firms diversify away from China
yet remain entangled in Chinese-linked production systems; tariff-induced disruptions have
compelled firms to overhaul inventory valuation methods, refine cost management systems,
and expand financial reporting frameworks; effective strategic management in the face of tariff
risks relies on diversification of suppliers and markets, technological innovation, compliance
integration, and long-term scenario planning. In conclusion, the intertwining of supply chain
and accounting adjustments illustrates how trade policy shocks penetrate firm-level financial
stability and reporting integrity, reshaping the very tools through which companies evaluate
performance and communicate with stakeholders. To chief financial officers and accounting
professionals, it is recommended that firms integrate advanced cost accounting systems and
real-time inventory management software to better capture fluctuations in input costs and
trade-related disruptions. Such systems would enhance transparency in financial reporting and
allow organizations to adjust pricing strategies and profitability forecasts with greater
accuracy under tariff volatility.
J. Abu· Journal of Accounting and Fi...· 0 citations
The study examined how artificial intelligence and automation can be harnessed to improve
efficiency, accuracy, and strategic contribution in accounting. Specifically, the study explored
their role in auditing, tax preparation, and financial reporting, analyzed the potential of
emerging technologies such as predictive analytics and machine learning, and evaluated their
capacity to strengthen decision-making and proactive financial management. An exploratory
research design was adopted. Secondary data were collected from these sources, and thematic
analysis was employed as the method of data interpretation, serving as the basis for examining
the research objectives. The findings revealed that: AI and automation are already
transforming accounting by enhancing efficiency, reducing errors, and improving auditing and
reporting accuracy; emerging technologies such as predictive analytics, machine learning, and
cognitive computing offer new possibilities for forecasting, adaptability, and strategic financial
analysis, though challenges remain; strategic integration of AI enables accountants to move
beyond transactional roles toward advisory functions, strengthening decision-making,
proactive management, and long-term organizational value. The study concludes that while
challenges remain in adoption and implementation, these technologies have the potential to
transform accounting from a transaction-focused function into a strategic resource for
organizational growth. The study recommended that accounting firms should invest in
structured training programs for their staff to fully leverage the efficiency and error-reduction
benefits of AI and automation. While the technologies already improve auditing and reporting
accuracy, their effectiveness depends on how well accountants can interact with and oversee
automated processes.
J. Abu· Journal of Accounting and Fi...· 0 citations