International Journal of Adaptive Management and Business Intelligence

Building robust, ethical, and scalable organizations requires an integrated approach that recognizes the close interdependence between adaptive management strategies and data-driven business intelligence. As global markets and operational environments become increasingly volatile, it is essential to move beyond static models and embrace systems that prioritize reliability, transparency, and long-term strategic sustainability. IJAMBI focuses on methods that are resilient to market uncertainty and distributional shifts, specifically designing systems that allow businesses and institutions to adapt to evolving real-world conditions. Achieving meaningful progress in this field demands attention to foundational challenges such as data quality, predictive analytics, computational efficiency, and responsible deployment within corporate and governmental frameworks. The International Journal of Adaptive Management and Business Intelligence (IJAMBI) provides a dedicated scholarly platform to advance these objectives. With a multidisciplinary focus, the journal brings together perspectives from management science, artificial intelligence, business analytics, and organizational theory to deepen understanding of how intelligent systems can be designed and applied to enhance human decision-making. IJAMBI supports research that bridges the gap between theoretical frameworks and practical business applications, encouraging contributions that demonstrate both methodological rigor and real-world relevance. Through its editorial standards, the journal promotes reproducibility and ethical responsibility, recognizing the critical role that adaptive systems play in shaping resilient, competitive, and equitable futures. Publisher: Who Supports This Journal? The International Journal of Adaptive Management and Business Intelligence (IJAMBI) is published and supported by Femington, an independent academic publishing organization committed to advancing open, ethical, and high-quality scholarly communication. The journal is maintained using the Open Journal Systems (OJS) platform, an open-source publishing infrastructure widely adopted by academic institutions and journals worldwide. By leveraging OJS, Femington ensures that IJAMBI operates on transparent, community-driven, and sustainable publishing principles. This enables efficient manuscript management, rigorous peer review, and long-term digital preservation, reinforcing the journal’s commitment to accessibility and academic integrity. IJAMBI aims to make academic research available: Online Immediately upon publication Free from most copyright or licensing restrictions Accepted Types of Articles IJAMBI considers the following categories of scholarly contributions: Original Research / Research Articles: Substantial and novel contributions presenting original theoretical developments in management, methodological innovations in business intelligence, or empirical analyses of adaptive systems. (6,000–8,000 words). Review Articles: Critical synthesis of existing research. This includes Critical Reviews of management literature, Systematic Reviews of business analytics trends, or Meta-Analyses of organizational performance data. (6,000–8,000 words). Case Studies: In-depth examinations of real-world implementations of adaptive management or BI solutions in corporate, governmental, or non-profit settings. (3,000–4,000 words). Research Notes: Concise manuscripts presenting preliminary findings, novel datasets, or emerging methodological ideas in business intelligence that warrant rapid communication. (2,000–3,000 words). Editorials: Commissioned pieces addressing topical issues or strategic directions relevant to adaptive management. Aims and Scope The rapid advancement of business intelligence and the increasing volatility of global markets have transformed organizational decision-making. These changes introduce critical challenges related to scalability, strategic robustness, and the ethical responsibility of automated and human-led systems. The International Journal of Adaptive Management and Business Intelligence (IJAMBI) seeks to address these challenges by publishing research that advances the theoretical foundations and applied practices of intelligent management systems. The journal aims to foster innovation while encouraging critical reflection on the reliability and accountability of data-driven governance. Principal areas covered include, but are not limited to: Adaptive Management: Agile leadership, change management, and resilient organizational architectures. Business Intelligence & Analytics: Predictive and prescriptive analytics, data mining for market insights, and real-time dashboarding. Strategic Decision Support: Recommender systems for executive decision-making and automated workflow optimization. Data Governance & Ethics: Privacy, transparency, and ethical AI in corporate environments. Big Data in Management: Scalable analytics and knowledge discovery in large-scale enterprises. Interdisciplinary Applications: BI in healthcare management, digital transformation in the public sector, and sustainable business models. Benefits to Authors All articles published in IJAMBI are fully open access. Key benefits include: Flexible publication fees to ensure global inclusivity Rigorous double-blind peer-review process