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Research Article
AI-Driven Management Accounting: A New Frontier in Strategic Finance
Marja-Liisa Tenhunen*
Issue:
Volume 14, Issue 4, December 2025
Pages:
87-95
Received:
4 September 2025
Accepted:
16 September 2025
Published:
9 October 2025
Abstract: This article examines how Artificial Intelligence (AI) is transforming management accounting from a traditionally reactive, backward-looking practice into a proactive, strategic partner in organizational decision-making. The objective is threefold: (1) to analyze the convergence of AI technologies - such as machine learning, natural language processing, and predictive analytics - with management accounting functions; (2) to evaluate their impact on cost control, budgeting, performance measurement, strategic support, and risk management; and (3) to identify implementation challenges, ethical considerations, and future research directions. The study employs a mixed-methods approach: a critical synthesis of contemporary literature (2022–2025) and industry reports, integration of theoretical models - including Dynamic Capabilities, Digital Transformation, and Socio-technical Systems Theory - and multiple global case studies. Case examples include KONE, Nordea, Deloitte, GE, and Vodafone, which illustrate the tangible benefits and challenges of AI integration. The methods provide a robust conceptual and empirical basis for understanding AI’s strategic impact on financial processes. Results indicate that AI-driven management accounting significantly enhances forecasting accuracy, operational efficiency, and strategic agility. Machine Learning (ML) reduces manual processing time by up to 80%, predictive analytics supports rolling forecasts and scenario planning, and NLP (Natural Language Processing) provides qualitative insights from unstructured data. These capabilities elevate accountants’ roles from data custodians to strategic advisors. However, the findings also reveal critical challenges: high implementation costs, resistance to organizational change, data governance concerns, and ethical issues such as algorithmic bias and transparency. The article underscores the need for continuous professional upskilling, strong IT governance frameworks, and cross-functional collaboration to ensure responsible and effective AI deployment. The study concludes that AI is not merely a technical enhancement but a transformative enabler of strategic finance. By embedding AI within well-aligned socio-technical systems, organizations can achieve faster, more informed decisions and gain competitive advantage. Future research should address longitudinal data gaps, cross-cultural adoption, and regulatory frameworks to shape the ethical and practical foundations of AI-driven management accounting.
Abstract: This article examines how Artificial Intelligence (AI) is transforming management accounting from a traditionally reactive, backward-looking practice into a proactive, strategic partner in organizational decision-making. The objective is threefold: (1) to analyze the convergence of AI technologies - such as machine learning, natural language proces...
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Research Article
Inflation and Households’ Welfare in South Sudan (2013-2024)
Abdinur Ali Abdullahi*,
Ruon Mai Deng
Issue:
Volume 14, Issue 4, December 2025
Pages:
96-100
Received:
25 August 2025
Accepted:
8 September 2025
Published:
10 October 2025
Abstract: The study investigates the impact of inflation on households’ welfare in South Sudan between 2013 and 2024. The 2013 start date captures the onset of a major political crisis and civil conflict that profoundly altered the country’s economic trajectory. The period to 2024 covers multiple phases: intense conflict and humanitarian crisis, episodic peace agreements, shifts in oil production and export capacity, currency and monetary interventions, and varying donor/aid flows. These dynamics influence both the incidence of inflation (frequency, magnitude, and composition) and its transmission to households (through wages, remittances, food prices, and access to markets). Focusing on the period from 2013 to 2024, therefore, enables the study to link macroeconomic shocks with household-level outcomes through distinct political-economic episodes. The study has also thoroughly explored the impact of inflation, as studied by previous scholars. Specifically, it examines how inflation influences the Human Development Index (HDI), consumption, hunger incidence, education, and labor force participation. Increases in food prices led to a decline in labor force participation, resulting in higher unemployment rates among urban residents. Inflation is exacerbating food insecurity and hunger, particularly for the poorest households, who are more vulnerable to hunger. Inflation had also negatively affected households’ perceptions of welfare. Increases in food prices led to a decline in labor force participation, resulting in higher unemployment rates among urban residents. Inflation is exacerbating food insecurity and hunger, particularly for the poorest households, who are more vulnerable to hunger. Inflation had also negatively affected households’ perceptions of welfare. Addressing high inflation must be at the center of efforts to reduce poverty and hunger, to improve the welfare of the people of South Sudan. The study employs various econometric models, including the Vector Error Correction Model (VECM) and a Difference-in-Differences (DiD) model, to explain both short-term and long-term effects. The findings indicate that inflation has a statistically significant negative effect on HDI and consumption, with coefficients of -0.46 and -0.82, respectively. The study has suggested that the government, the central Bank, and Non-Governmental organizations should put forward various mitigating measures to confront inflation, thereby improving the livelihoods of every individual in the country. Therefore, the study concludes that inflation poses a substantial threat to welfare and recommends robust macroeconomic policies and social programs to mitigate inflation and enhance livelihoods.
Abstract: The study investigates the impact of inflation on households’ welfare in South Sudan between 2013 and 2024. The 2013 start date captures the onset of a major political crisis and civil conflict that profoundly altered the country’s economic trajectory. The period to 2024 covers multiple phases: intense conflict and humanitarian crisis, episodic pea...
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Research Article
Investigating Annual Household Food Budget Shares in Ghana: A Micro-Level Empirical Update
Isaac Addai*
Issue:
Volume 14, Issue 4, December 2025
Pages:
101-107
Received:
23 October 2025
Accepted:
5 November 2025
Published:
9 December 2025
DOI:
10.11648/j.eco.20251404.13
Downloads:
Views:
Abstract: This study examines Ghana's annual household food expenditures and their Engel food curve using the latest data from the 2017-2018 seventh round of the Ghana Living Standards Survey, which covered 14,009 household and lasted for one-year. Household demographics and specific variables influencing annual household food budget decisions in Ghana were examined, including income, household size, educational status of household head, household location, and household connectivity to electricity. The study establishes an inverse relationship between the share of the household food budget and the increase in household income, and a high annual household food expenditure elasticity with 0.49 pesewas out of every one cedi serving as an annual household marginal food budget share in Ghana, on average and ceteris paribus. The study provides additional statistical evidence that characterizes food as a necessity in Ghana and placed the country in the medium food insecurity zone. Economic development in Ghana means achieving food security at all times, which calls on the country to redouble its efforts to meet SDG Goal 2 and the AU Agenda 2063 household food security targets.
Abstract: This study examines Ghana's annual household food expenditures and their Engel food curve using the latest data from the 2017-2018 seventh round of the Ghana Living Standards Survey, which covered 14,009 household and lasted for one-year. Household demographics and specific variables influencing annual household food budget decisions in Ghana were ...
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