International Journal of Adaptive Management and Business Intelligence
Peer-Reviewed|Open Access

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 ma...

Open Access

Freely accessible to researchers worldwide

Rigorous Peer Review

High-quality and transparent review process

Global Community

A diverse and international author and reviewer network

Real-World Impact

Research that advances theory and practice

Int. J. Adapt. Manag. Bus. Intell.

A global platform for research at the intersection of intelligent systems and data science.

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

3143-7176ISSN
3 daysSubmission to first decision (median)
Continuous PublishingFrequency
CC BY 4.0License

Information For Authors

Interested in submitting your work to IJAMBI?

Authors are encouraged to review the About the Journal page for journal-specific aims, scope, and section policies, along with these detailed Author Guidelines, before preparing a submission.

Femington articles are indexed and made discoverable through widely used academic search platforms such as Google Scholar. Articles are indexed and made discoverable through widely used academic search platforms such as Google Scholar. Authors must register with the journal prior to submission or, if already registered, log in and proceed through the standard five-step online submission process.


Preparation of Your Manuscript

Authors must ensure that manuscripts meet the following requirements prior to submission:

  • Full names, institutional affiliations (including country), and contact details of all contributing authors must be provided

  • One author must be designated as the corresponding author

  • Manuscripts must include:

    • An abstract of no more than 300 words

    • Up to eight keywords

  • Submissions must be spell-checked and grammar-checked before submission

  • All references cited in the text must appear in the reference list, and vice versa

  • Bibliographic information (reference lists) must be presented.

  • Authors must obtain appropriate permissions for all third-party images, figures, or tables.

  • The language used in the title, abstract, and manuscript body must be clear and comprehensible to a global academic audience.

  • Manuscripts must align with the scope of the journal to which they are submitted.

Manuscript Template

Authors are required to prepare their manuscripts using the official IJISDS journal template.
Please download the appropriate version below:

Content Expectations

Manuscripts, particularly empirical studies and business intelligence applications, should clearly address:

  1. Principal Findings: A concise statement of how the research advances management or intelligence practices.

  2. Methodological Rigor: Detailed explanation of data sources, algorithmic models, or qualitative management frameworks used.

  3. Strategic Implications: The impact of the findings on organizational practice, policy, or corporate strategy.

  4. Future Directions: A discussion of unanswered questions regarding adaptive systems and emerging business technologies.


Fee Structure & Open Access

IJAMBI operates under an inclusive Open Access model:

  • Flexible Article Processing Charges (APCs): Apply to accepted manuscripts to ensure the sustainability of high-quality publishing.

  • Global Accessibility: No subscription or access fees for readers for open-access journals; all articles are available online.

  • Author Rights: Authors retain copyright and grant Femington a license to be the original publisher.


Code of Ethical Conduct

Authors must adhere to the principles of intellectual honesty and responsible scholarship.

  • Principles: Honesty, Methodological Soundness, Transparency (disclosure of data sources), and Accountability.

  • Data Ethics: In the context of Business Intelligence, authors must ensure that data used for research (especially proprietary or consumer data) was obtained and used ethically.

  • Plagiarism: All submissions are screened using plagiarism detection tools. IJAMBI identifies and prevents citation manipulation and data fabrication.


Criteria for Authorship

Authorship is reserved for individuals who made substantial intellectual contributions, such as:

  • Conceptualization and study design.

  • Data acquisition, involving intellectual judgment.

  • Development of management frameworks or BI algorithms.

  • Drafting or critically revising the manuscript for strategic depth.


Essential Submission Checks

Before uploading to the OJS platform, verify that:

  1. The manuscript is the final version and is not under review elsewhere.

  2. Non-standard abbreviations (e.g., specific industry acronyms) are defined on first use.

  3. The abstract contains no citations or abbreviations.

  4. All supplementary files (e.g., datasets, code, or extended case study notes) are included.

Plagiarism and Research Misconduct Policy

Femington takes research integrity seriously.

  • All submissions are screened using plagiarism detection tools

  • The publisher actively identifies and prevents:

    • Plagiarism

    • Citation manipulation

    • Data fabrication or falsification

If misconduct is identified at any stage, the manuscript may be rejected, corrected, or retracted, and further investigation may be undertaken in line with publishing ethics standards.


Acknowledgements and Funding

Contributions that do not meet authorship criteria should be acknowledged. All sources of funding and the role of funding bodies must be clearly disclosed.


Declaration of Interest

All authors must disclose any financial or personal relationships that could be perceived as influencing their work.


Research Data

Femington encourages authors to share data, code, and supporting materials where appropriate, to promote transparency and reproducibility.


Ethics Approval and Consent

Manuscripts reporting studies involving human participants or animals must include:

  • A statement of ethics approval

  • The name of the approving ethics committee

  • Reference numbers where applicable


Essential Submission Checks

Before submission, authors must ensure that:

  • The manuscript is the final version

  • The work is not under review or published elsewhere

  • Permissions have been obtained for reused material

  • The manuscript is submitted in the required file format

  • No abbreviations or citations appear in the abstract

  • Non-standard abbreviations are defined on first use

  • All supplementary files are included

Following review, authors may be requested to provide editable files, higher-resolution figures, or revisions to align with the journal style.

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