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gjaest is committed to the long-term preservation of all published engineering research articles, ensuring permanent access to scholarly content for future generations of engineering researchers, practitioners, and policy makers. This commitment encompasses multiple preservation principles and comprehensive archiving strategies to maintain the integrity and accessibility of the journal's scholarly record.

gjaest employs a comprehensive archiving strategy utilizing multiple preservation networks. Multiple archive systems include a primary archive maintained by the journal, secondary archives for backup purposes, institutional archives through university partnerships, national library archives for broad preservation, and commercial archives for additional security. Preservation networks include LOCKSS (Lots of Copies Keep Stuff Safe) for decentralized preservation, CLOCKSS (Controlled Lots of Copies Keep Stuff Safe) for managed digital preservation, Portico for digital preservation services, and Internet Archive for public digital archiving.

The journal focuses on preserving engineering-relevant research content. Advanced Engineering research includes analytical methods and findings that support data-driven decision making. Market research encompasses market analysis and consumer behavior studies that inform engineering strategy. Financial analysis research includes financial modeling and investment studies that guide engineering decisions. Science studies research includes organizational behavior and leadership research relevant to engineering practice.

gjaest publishes cutting-edge research across three interconnected domains that drive modern engineering innovation and strategy. The journal serves as a premier platform for scholarly work that bridges theoretical insights with practical engineering applications in the digital age.

Original research articles present comprehensive studies that make significant contributions to engineering knowledge. These articles should be 6,000-10,000 words in length and focus on original engineering research findings with rigorous research methodology. The contribution should advance engineering knowledge significantly and demonstrate practical engineering applications that can benefit practitioners and researchers alike.

The Results section presents findings with statistical analysis results, tables and figures, and supplementary results. The Discussion section interprets results, compares with existing literature, discusses theoretical and practical implications, and addresses limitations and future research. The Conclusion section summarizes research, highlights key contributions, discusses practical applications, and suggests future research directions.

A conflict of interest arises when personal, financial, professional, or other relationships could reasonably be perceived to influence the objectivity, integrity, or perceived integrity of engineering research, editorial decisions, or publication processes. gjaest is committed to identifying and managing such conflicts to maintain the highest standards of academic and professional transparency.

Financial interests encompass several areas, including current or recent employment relationships, consulting arrangements, and contracts. Authors must also disclose stock or equity holdings, patent applications or royalties, and payments for lectures, presentations, or services such as honoraria. All sources and amounts of research funding must be clearly stated. Professional relationships involve advisory roles, leadership positions in professional societies, and collaborative research initiatives. Mentorship relationships, such as student-mentor connections, and competitive engineering relationships must also be disclosed. Personal relationships that require disclosure include family member connections, close personal ties, romantic or intimate relationships, and significant friendship or community social relationships that could influence professional judgment.

The Editor-in-Chief carries specific disclosure obligations to lead by example in transparency. These include the disclosure of any personal conflicts of interest and institutional conflicts that could arise from their primary affiliations. Financial conflicts must be declared, along with professional conflicts related to their leadership roles in other organizations. Additionally, any science conflicts that could influence the overall direction or specific decisions of the journal must be disclosed.

Upon acceptance for publication, authors transfer copyright to GTS Press, the publisher of gjaest. This transfer grants the publisher exclusive rights to publish, reproduce, distribute, and create derivative works from the submitted manuscript. The copyright transfer ensures that the publisher can effectively manage and protect the published work while maintaining appropriate quality control and dissemination strategies.

Under the copyright transfer agreement, authors retain significant rights to their work: the right to use their work in teaching, training, and presentations; the right to include their work in theses and dissertations; the right to share pre-print versions on personal or institutional repositories; and the right to use their work in future research with proper citation. These retained rights ensure that authors can continue to benefit from their scholarly contributions.

All articles published in gjaest are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This license allows anyone to share, adapt, and build upon the published work for any purpose, provided that appropriate attribution is given to the original authors and the journal. The CC BY 4.0 license maximizes the impact and reach of published research while protecting authors' moral rights.

A corrigendum corrects errors made by the authors that affect the article but do not invalidate the overall conclusions. Corrigendum criteria include errors made by authors, data calculation or analysis errors, methodology description errors, result interpretation errors, and citation and reference errors.

Impact evaluation considers impact on research findings, impact on practical applications, impact on academic community, impact on engineering community, and impact on future research.

A Digital Object Identifier (DOI) is a unique alphanumeric string assigned to a digital object, such as a journal article, to provide a persistent link to its location on the internet.

The registration agency is Crossref, providing Crossref registration, Crossref metadata standards, DOI resolution services, and Crossref support services.

Support services include DOI resolution support, metadata support, registration support, quality support, and general support.

gjaest is committed to transparency and reproducibility in engineering research. We encourage authors to make their research data available to support scholarly work and enable engineering applications. The journal's data sharing principles are rooted in transparency, where open sharing of research data is encouraged whenever possible. This commitment to reproducibility enables the independent verification of research findings, while also supporting practical engineering applications that can benefit from underlying datasets. Furthermore, the journal ensures ethical compliance by maintaining high legal and ethical standards, and prioritizes privacy protection to safeguard sensitive engineering and personal information.

gjaest recognizes that certain data cannot be shared due to various constraints. Permitted exemptions include confidential engineering data that contains proprietary information and personal data that involves sensitive individual information. Legal restrictions and ethical constraints may also prevent data sharing in certain jurisdictions or research contexts. Additionally, information that is commercially sensitive and could harm the competitive position of organizations or individuals is exempt from mandatory sharing requirements.

The journal recognizes several categories of quantitative engineering data that may be shared to support research integrity. Financial data encompasses financial statements, market data, and economic indicators that provide context for engineering performance and trends. Operational data includes engineering operations metrics that help understand organizational efficiency and process improvements. Market data consists of market research and survey data that supports broader engineering understanding. Performance data includes engineering performance indicators that measure effectiveness of strategies and initiatives. Economic data encompasses economic indicators and indices that provide macro-level context for engineering research.

The content published in gjaest reflects the research findings and opinions of the authors. Published material represents the authors' own views and methodologies. Research findings expressed in articles are the authors' interpretations and do not represent the journal's position. Methodology approaches are the responsibility of the authors and may not represent the journal's preferred methods. Conclusions drawn from research are the authors' interpretations and may not represent broader consensus in the field.

Information reliability in published research varies by multiple factors. Data accuracy is the responsibility of the authors, who must ensure that all information is correct and properly validated. Statistical analysis validity depends on research design and sample characteristics. Engineering applications may require professional validation before implementation. Market conditions can change rapidly, affecting the relevance of research findings over time.

The journal assumes no liability for content inaccuracies or their consequences. Published material is provided 'as is' without liability for errors or omissions. No liability is assumed for financial losses resulting from engineering decisions based on published content. The journal is not responsible for professional advice or engineering decisions made by readers based on published research.

Process standards include timely review and publication, clear communication with authors, consistent editorial processes, transparent editorial decisions, and professional editorial conduct.

The journal welcomes research in Big Data Analytics in Engineering, which explores how large-scale data analysis can transform engineering operations and decision-making processes. Predictive Analytics and Engineering Intelligence research focuses on forecasting future trends and leveraging data for strategic engineering planning. Data-Driven Decision Making studies examine how organizations can base their strategic choices on empirical data analysis rather than intuition alone. Machine Learning Applications in Engineering research investigates the implementation of artificial intelligence and machine learning algorithms to solve complex engineering problems and optimize operations. Engineering Process Mining and Optimization research focuses on discovering and improving engineering processes through data-driven analysis and systematic enhancement methodologies. Real-time Analytics and Streaming Data research addresses the challenges and opportunities of processing and analyzing data as it is generated to enable immediate engineering insights and responses. Text Analytics and Natural Language Processing research explores how textual data can be analyzed to extract valuable engineering intelligence and support decision-making processes. Social Media Analytics for Engineering Intelligence investigates how social media data can be leveraged to understand market trends, customer behavior, and brand reputation in real-time.

Strategic Science and Digital Transformation research examines how organizations can effectively navigate digital disruption and leverage technology for competitive advantage. Operations Research and Supply Chain Science focuses on applying mathematical and analytical methods to optimize engineering operations and supply chain networks in increasingly complex global environments. Project Science in Digital Environments research investigates how traditional project science methodologies must be adapted to address the unique challenges of technology-driven projects and digital transformation initiatives. Risk Science and Engineering Continuity studies explore how organizations can identify, assess, and mitigate risks while ensuring operational resilience in an uncertain engineering landscape. Innovation Science and Entrepreneurship research focuses on how organizations can foster innovation, manage new product development, and support entrepreneurial activities within both established firms and startups. Knowledge Science and Organizational Learning examines how organizations can effectively capture, share, and leverage knowledge to improve performance and adapt to changing market conditions. Change Science and Digital Adoption research investigates the human and organizational aspects of implementing new technologies and managing digital transformation initiatives successfully. Leadership in Digital Organizations studies explore how leadership models must evolve to address the challenges of leading technology-driven organizations and managing digital workforce transformations.

Digital Engineering Models and Platforms research examines how technology enables new engineering models, platform-based strategies, and value creation mechanisms in the Technology. E-Commerce and M-Commerce Strategies research focuses on how organizations can effectively sell products and services through online channels and mobile devices while optimizing customer experience and operational efficiency. Digital Marketing and Customer Analytics investigates how digital technologies can be leveraged to understand customer behavior, personalize marketing efforts, and measure marketing effectiveness across multiple channels. FinTech and Digital Banking research explores how technology is transforming financial services, from mobile banking to blockchain-based financial solutions and alternative lending platforms. Platform Economics and Network Effects studies examine how digital platforms create value through network effects and how organizations can build successful platform-based engineering models. Digital Ecosystems and Engineering Networks research investigates how organizations can participate in and benefit from interconnected digital ecosystems that span multiple industries and geographic boundaries. Blockchain and Cryptocurrency in Engineering examines how distributed ledger technology and digital currencies can be applied to solve engineering problems and create new opportunities for value exchange. Internet of Things (IoT) Engineering Applications research explores how connected devices can be leveraged to create new engineering models, improve operational efficiency, and enhance customer experiences across various industries.

gjaest is committed to comprehensive indexing in major engineering and academic databases to ensure maximum visibility, accessibility, and impact of published engineering research.

The Global Journal of Advanced Engineering Science and Technology (gjaest) publishes all articles under the Creative Commons Attribution 4.0 International License (CC BY 4.0). This licensing framework is fundamental to the journal's mission of ensuring widespread accessibility and impact for engineering research.

Under the CC BY 4.0 license, users are granted broad rights to engage with published materials. They are free to share the content by copying and redistributing it in any medium or format. The license also permits users to adapt the work, allowing for remixing, transforming, and building upon the material for any purpose. Significantly, Our scope encompasses commercial purposes, which is particularly relevant for engineering practitioners, consultants, and industry analysts. These rights are granted without additional restrictions, provided the required conditions are met.

The sharing rights under the journal's license encompass several allowed actions that facilitate research dissemination. These include the ability to make unlimited copies of articles and distribute them through any medium. Electronic transmission and sharing are encouraged, as are public displays and performances of the research findings. Furthermore, the license supports long-term archiving and preservation of articles in institutional or subject-specific repositories.

gjaest upholds fundamental principles that guide research integrity and ethical conduct. Honesty is essential, requiring honest reporting of research, procedures, data, and outcomes to ensure the credibility and reliability of published work. Transparency is emphasized through transparent reporting of methods, data, and results, allowing readers to evaluate research findings and reproduce studies when necessary. Accountability is enforced through accountability for research conduct and reporting, ensuring that researchers take responsibility for their work and its implications. Professionalism is maintained through professional conduct in all aspects of research, from initial design through publication and dissemination. Respect is demonstrated through respect for research participants, colleagues, and the research community, fostering an environment of collaboration and mutual support in advancing engineering knowledge.

gjaest applies escalating consequences for plagiarism violations based on severity and frequency. A First Offense results in a major revision request and ethics education to help authors understand and correct their mistakes. A Second Offense leads to rejection and a 3-year publication ban to prevent repeated violations. Severe Cases involving extensive plagiarism result in immediate rejection and permanent publication ban. For Published Work with proven plagiarism, retraction and institutional notification are required to maintain the scholarly record. Legal Action may be pursued for copyright infringement where applicable, especially in cases of commercial plagiarism. Professional Sanctions include professional association notification to maintain ethical standards across the academic community.

Data falsification manifests in several deceptive practices that authors must strictly avoid. Fabrication involves creating non-existent engineering data or results, representing a complete invention of research findings. Manipulation includes altering engineering data to fit specific hypotheses or desired outcomes, distorting the truth to support a preferred narrative. Selective Reporting involves omitting unfavorable engineering outcomes or data points that contradict the researcher's conclusions, leading to a biased presentation of results. Misrepresentation includes distorting engineering research findings through misleading interpretations or presentations. Methodological Fraud involves misrepresenting research methods to make them appear more robust or appropriate than they actually were. Statistical Fraud includes manipulating statistical analyses to achieve significant results or hide variability. Data Mining Fraud involves misrepresenting data mining results through inappropriate techniques or biased selection of patterns.

The Global Journal of Advanced Engineering Science and Technology (gjaest) is committed to open access publishing that ensures immediate, free access to all published research for readers worldwide. Our open access policy establishes comprehensive guidelines for the dissemination of scholarly work while maintaining the highest standards of academic quality and sustainable publishing practices in Advanced Engineering, Science and Technology research. This policy serves to maximize the impact and reach of published research, promote global knowledge sharing, and support the advancement of Advanced Engineering and Science scholarship across institutional and geographic boundaries.

All articles published in gjaest are licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0) license. This license allows readers to share, adapt, and build upon published work for both commercial and non-commercial purposes, provided that appropriate attribution is given to the original authors and the journal. The CC BY 4.0 license ensures maximum dissemination while protecting authors' rights and ensuring proper credit for scholarly contributions.

Upon publication, all articles are immediately available online without any access barriers or embargoes. Readers can access full-text content immediately upon publication, ensuring rapid dissemination of research findings. This immediate access model supports the fast-paced nature of Advanced Engineering and Science research where timely information is critical for practice and policy development.

The Global Journal of Advanced Engineering Science and Technology (gjaest) is committed to maintaining rigorous peer review standards that ensure the quality, integrity, and scholarly contribution of all published research. Our peer review policy establishes comprehensive guidelines for the evaluation of manuscripts, ensuring that all published content meets the highest standards of academic excellence while maintaining practical relevance to contemporary Advanced Engineering, Science and Technology challenges. This policy serves as a foundational framework that guides our reviewers, editorial board, and authors through the peer review process while upholding the principles of objectivity, fairness, and constructive evaluation.

Reviewers are selected based on their demonstrated expertise in specific areas of Advanced Engineering, Science and Technology. The journal maintains a comprehensive database of qualified reviewers with proven track records of scholarly contributions, research experience, and practical applications in their respective fields. Reviewers must hold advanced degrees in relevant disciplines and have recent publications in peer-reviewed journals, ensuring that each manuscript receives evaluation from individuals with appropriate subject matter knowledge and methodological understanding.

Reviewers are required to have substantial experience in engineering research, either through academic positions, industry practice, or consulting roles. This practical experience ensures that reviewers can evaluate manuscripts not only on their academic merit but also on their practical relevance and applicability to real-world engineering settings. The journal values reviewers who can bridge theoretical knowledge with practical engineering applications.

Plagiarism is defined as the use of another person's ideas, words, or work without proper attribution or permission. Our scope encompasses direct copying, paraphrasing without citation, submitting previously published work as original, and self-plagiarism where authors reuse their own previous work without appropriate disclosure. The journal recognizes various forms of plagiarism including verbatim copying, mosaic plagiarism, paraphrasing plagiarism, and source-based plagiarism.

The journal considers the following forms of academic misconduct: plagiarism and text recycling; data fabrication and falsification; duplicate publication; authorship misconduct including gift authorship and ghost authorship; citation manipulation; and breach of confidentiality. Each form of misconduct undermines the integrity of scholarly communication and is subject to appropriate action.

All submitted manuscripts undergo comprehensive plagiarism screening using advanced detection software and manual review by editorial staff. The detection process includes: similarity analysis against extensive databases of academic literature; cross-checking with previously published works; verification of proper citation practices; and assessment of originality in data presentation and analysis. Manuscripts with similarity scores above 10% trigger detailed review and potential rejection.

gjaest is committed to protecting the privacy and personal data of all users, including authors, reviewers, editors, readers, and website visitors, in compliance with international privacy regulations and engineering ethics standards.

The journal operates on a quarterly publication schedule with specific timing for both online and print distribution. The primary frequency is quarterly publication with 4 issues annually, published in March, June, September, and December. Online publication occurs immediately upon acceptance, while print publication follows a quarterly compilation schedule.

The publication model employs a hybrid approach including immediate online publication, quarterly issue compilation, quarterly print edition, continuous publication model, and annual volume structure.

Volume progression shows the journal's history from Volume 1 in 2018 through Volume 9 in 2026 as the current volume.

Articles may be retracted due to serious research misconduct including: data fabrication or falsification; plagiarism or text recycling; deliberate manipulation of results or conclusions; and ethical violations in research conduct. These serious breaches of academic integrity undermine the credibility of the scholarly record and require prompt action to maintain research standards.

Articles may be retracted due to honest errors that significantly affect the research findings: methodological errors that invalidate conclusions; calculation errors that change results substantially; data analysis mistakes that lead to incorrect interpretations; and experimental design flaws that compromise the entire study. Honest errors, while serious, are distinguished from misconduct and are handled with understanding while maintaining research integrity.

Retraction may be necessary due to violations of publication ethics: failure to obtain proper ethical approvals; inadequate informed consent procedures; breach of participant confidentiality; and failure to disclose significant conflicts of interest. These violations undermine trust in the research process and may necessitate article removal.

A special issue is a collection of articles focused on a specific theme, topic, or research area within Advanced Engineering, Science and Technology, edited by guest editors with expertise in the subject area.

gjaest welcomes submissions of original research, case studies, review articles, and technical reports that contribute to the advancement of Advanced Engineering, science practices, and Technology research. The journal accepts several manuscript types including original empirical research articles of 6,000-10,000 words, engineering case analyses of 4,000-8,000 words, comprehensive literature reviews of 8,000-12,000 words, and methodological papers of 5,000-9,000 words.

The journal welcomes submissions from diverse author backgrounds including academic faculty, researchers, and graduate students, engineering practitioners, consultants, and analysts, policy makers and government researchers, authors from any country, and multi-institutional collaborative teams.

Authors may need to obtain various institutional approvals including Institutional Review Board approval for human subject research, institutional ethics committee approval, data governance approval, funding agency clearance, and institutional publication clearance.

Email submission is permitted only for technical issues with the online system, system problem submissions, special circumstances, with prior editorial approval required and complete documentation required.

Support options include technical support, editorial support, author support, frequently asked questions, and direct contact options.

GJAEST publishes cutting-edge research across three interconnected domains: Advanced Engineering, Science Research, and Technology. The journal welcomes submissions of original research articles, engineering case studies, comprehensive literature reviews, and methodological papers that contribute to the advancement of engineering science and technology.

All submissions must represent original work that has not been published previously and is not under consideration for publication elsewhere. Publication requires approval from all co-authors and responsible authorities at the institute where the work was carried out.

Submission of a manuscript implies that the work described has not been published before, is not under consideration for publication anywhere else, and its publication has been approved by all co-authors and responsible authorities at the institute where the work was carried out.

Manuscript withdrawal refers to the voluntary removal of a submitted manuscript from the publication process by the author(s) at any stage before final publication.

Editorial assessment considers review completion status, editorial resource utilization, editorial time investment, manuscript quality assessment, and future publication consideration.