Data Availability and Research Integrity Policy

The International Journal of Business Operations and Management Studies requires the highest standards of scientific rigor, reproducibility, and transparency. To ensure that conclusions published in the journal are valid, verifiable, and building upon a foundation of trust, all research must adhere to strict guidelines regarding data transparency, methodological disclosure, and structural integrity.

1. Data Availability Mandate

Progress in the fields of business operations, supply chain logistics, and decision sciences relies on the ability of the scholarly community to validate, replicate, and extend published findings. Consequently, the journal enforces a strict Data Availability Policy as a condition of publication.

1.1 Data Availability Statements

Every manuscript submitted must include a dedicated "Data Availability Statement" positioned immediately preceding the reference list. This statement must explicitly detail where the underlying data supporting the results, charts, and statistical models can be accessed. Authors must select one of the following standardized disclosure pathways:

1.2 Acceptable Data Repositories

When data are made publicly accessible, the journal strongly encourages the use of stable, independent, and secure public repositories that provide permanent digital identifiers. Acceptable platforms include:

• General Purpose Repositories: Zenodo, Figshare, Harvard Dataverse, or the Open Science Framework (OSF).

• Institutional Repositories: Officially managed digital archives maintained by recognized universities or research organizations.

2. Research Integrity Protocols

The editorial board actively monitors and verifies compliance with international research integrity benchmarks. Manuscripts displaying indicators of systematic manipulation or careless documentation will be removed from the review stream.

2.1 Statistical and Methodological Transparency

Quantitative studies must thoroughly document all statistical processes. The main text or accompanying supplementary files must fully outline:

• The exact sample size determination and response rate calculations.

• The operationalization of all variables, including explicit definitions of structural equations, regression metrics, and measurement instruments.

• The software platforms and specific versions used for data analysis (e.g., SPSS, R, AMOS, Stata).

For qualitative research (such as case studies or grounded theory applications), authors must present a transparent, auditable trail detailing how themes were developed, interviews transcribed, and triangulation achieved, ensuring the framework is robust and conceptually valid.

2.2 Human Participants and Institutional Ethics

For any research involving data collected from human subjects—including corporate interviews, workforce surveys, or behavioral experiments—authors must secure formal approval from an institutional review board or independent ethics committee.

The text must explicitly state the name of the authorizing committee and the unique protocol approval number. Furthermore, a statement confirming that informed consent was obtained from all participants must be embedded within the methodology section.

3. Identification and Prevention of Malpractice

To protect the integrity of the published record, the journal utilizes advanced digital screening mechanisms to intercept unethical submissions prior to peer review.

       [Manuscript Submitted to Portal]
                      │
                      ▼
       [Automated Pre-Check Screeners]
         ├── Plagiarism Evaluation (iThenticate)
         └── Graphic Curation & Manipulation Scan
                      │
         ┌────────────┴────────────┐
         ▼                         ▼
 [Irregularities Found]   [No Issues Detected]
         │                         │
         ▼                         ▼
 [Ethical Investigation]  [Peer Review Queue]

3.1 Digital Image and Graphic Integrity

Figures, charts, and data plots must accurately reflect the original source data. The selective editing, digital manipulation, or enhancement of graphics to distort statistical outcomes, conceal outliers, or fabricate trend lines is classified as scientific fraud. The journal reserves the right to request the original unedited data sheets or raw image files from the authors at any point during the review or production workflow.

3.2 Plagiarism and Text Recycling Thresholds

Every submission undergoes rigorous automated screening via Crossref Similarity Check. While absolute similarity indices are evaluated contextually based on the field of study, the journal enforces strict boundaries:

• Direct Text Duplication: Verbatim copying of paragraphs or multi-sentence strings from published sources without quotation marks and citation is treated as plagiarism.

• Excessive Text Recycling: Manuscripts displaying significant text overlap with the authors' own previously published conference papers or dissertations must feature substantial intellectual expansion, and the original foundation source must be clearly cited in the introduction.

Institutional Enforcement Directive

If an investigation by the Editorial Board confirms a breach of research integrity—such as confirmed data fabrication, intentional plagiarism, or systemic text recycling—the journal will notify the authors' home university or funding body directly. This protocol complies fully with the institutional notification flowcharts outlined by the Committee on Publication Ethics (COPE).