Asian Business Research Journal

Diversity toward Unity and Sustainable Growth in Nigeria: Fostering Inclusivity for a Prosperous Future

Emmanuel Ukpe — 2025-04-03

Nigeria's diversity is both a source of strength and a challenge that demands careful navigation. This study explores the intricate interplay of diversity, unity, and sustainable growth in Nigeria, a nation that is a microcosm of Africa's cultural richness. This study explored this diversity's historical, social, economic, and political dimensions, acknowledging its role in shaping the nation's identity while addressing its challenges. It emphasizes the crucial importance of unity in achieving sustainable growth and national development. Challenges arising from Nigeria's diversity, including ethnic tensions, regional imbalances, and historical grievances, are dissected to comprehensively understand the nation's hurdles. Opportunities for unity are illuminated, focusing on cultural exchange, education as a unifying force, and economic inclusivity. The study further delves into empowering marginalized groups, advocating for inclusive economic policies, and the role of education as a catalyst for national cohesion. The paper concludes by providing actionable recommendations, emphasizing the need for national inclusivity initiatives, equitable economic policies, and strategic infrastructure development.

Determinants of Budget Implementation in Nigeria

Joseph Seun KOLAWOLE — 2025-04-05

The below-par performance of budget implementation (BI) in Nigeria has contributed to the country’s economic instability and public distrust in fiscal policies. This study primarily investigates the determinants of BI in Nigeria by focusing on foreign exchange rates (FEXR), inflation rates (INFR), interest rates (INTR), and corruption control (CINR). Using annual data from 2008 to 2024, this study employs time series analysis to examine the causal relationships between key macroeconomic variables and BI. Findings reveal that FEXR significantly influences BI, underscoring Nigeria’s fiscal vulnerability to FEXR fluctuations. INTR also exhibits a significant impact on BI, highlighting the importance of INTR policies in BI. Conversely, INFR has no direct effect on BI, suggesting that inflation’s influence on fiscal performance is secondary. The study concludes that Nigeria’s BI is usually undermined and disrupted by FEXR and INTR instability. The study recommends that the Nigerian government prioritize FEXR stability through sound monetary policies to mitigate currency-related fiscal risks. Furthermore, the Central Bank of Nigeria should implement measures to maintain favorable INTR, ensuring that borrowing costs do not hinder BI. Strengthening institutional accountability is essential to minimizing corruption’s negative effects on fiscal performance. These findings provide valuable insights for policymakers seeking to enhance budget efficiency and promote sustainable economic development in Nigeria.

Measuring Supply Chain Performance

Ahmad Esoud Alkhawaldeh — 2025-04-07

The purpose of this study is to review the theoretical framework in performance measurement systems in the context of the supply chain. This study provides a review of the literature related to performance evaluation criteria for supply chains: indicators, challenges, and the various classifications available for them. Finally, the study results are presented, through which some key recommendations are proposed.

Building National Digital Infrastructure to Promote Digital Economic Development of Localities in Vietnam

Vo Mai Trang — 2025-04-09

Developing and constructing a synchronized and modern national digital infrastructure to support the digital economy is a prevalent development trend among many countries. Prioritizing the advancement of a robust digital infrastructure plays a crucial role in driving digital economic development at both the national and local levels. This paper analyzes the current state of Vietnam's national digital infrastructure development and its impact on promoting local digital economies. It proposes solutions to further enhance digital infrastructure development in the forthcoming period.

Autonomous Intelligence in Fashion: A Comprehensive Analysis of Agentic AI Across the Fashion Ecosystem

Andrew Burnstine — 2025-04-29

The fashion industry is undergoing a paradigm shift with the emergence of agentic artificial intelligence (AI), a sophisticated class of intelligent systems exhibiting autonomous decision-making, continuous learning, and adaptive action with minimal human intervention. Moving beyond traditional AI applications in fashion focused on predictive analytics, generative tools, and supervised automation, agentic AI introduces a transformative paradigm wherein intelligent agents proactively navigate the complexities inherent in design, manufacturing, supply chain optimization, and consumer personalization. This paper presents a comprehensive exploration of the evolving role of agentic AI across the multifaceted fashion ecosystem, offering an in-depth analysis of its technological underpinnings, operational transformations, and strategic implications. Employing an interdisciplinary framework and detailed examination of five pivotal case studies—Stitch Fix, Zara, Tommy Hilfiger, Farfetch, and MatchesFashion—this study meticulously investigates how agentic AI is revolutionizing creative ideation processes, enabling real-time adaptive logistics, and facilitating hyper-personalized retail experiences. Our findings reveal that agentic systems are redefining established industry norms by fostering synergistic human-AI collaboration, significantly enhancing operational efficiency, and paving the way for more sustainable and intelligent fashion operations. Furthermore, this paper critically contextualizes agentic AI within broader scholarly debates surrounding technological autonomy, ethical considerations, and the potential for labor displacement, thereby contributing to the theoretical discourse on AI agency and innovation within the fashion domain. By offering a forward-looking perspective grounded in empirical examples and theoretical insights, this study delineates critical future research pathways and strategic considerations for stakeholders navigating the next frontier of intelligent fashion systems. As agentic AI continues to blur the traditional boundaries between human creativity and machine intelligence, its profound integration stands to fundamentally reshape the future trajectory of fashion as a dynamic, data-driven, and increasingly autonomous industry.