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About the Journal

Mission and Open Access

The International Journal of Adaptive Management and Business Intelligence (IJAMBI) is committed to openness, accessibility, and inclusivity. The journal operates as a fully open-access publication, ensuring that all published research is freely and permanently available to readers worldwide. By prioritizing sustainable and equitable publishing models, IJAMBI aims to facilitate the broad dissemination of strategic knowledge and foster global participation in research on adaptive systems and organizational intelligence.

Through its editorial standards and publishing practices, IJAMBI actively promotes reproducibility, ethical responsibility, and transparent peer review. The journal seeks to contribute to broader global priorities by supporting research aligned with sustainable development, digital innovation, and resilient business practices.

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.