The Advanced Journal of Science and Innovation (AJSI) is an international, peer-reviewed, open-access journal dedicated to advancing rigorous, original, and impactful research at the intersection of Business and Management, Engineering, and Artificial Intelligence.
The journal provides an interdisciplinary platform for research that develops new knowledge, methods, technologies, models, and evidence-based solutions to contemporary scientific, industrial, organisational, societal, and policy challenges. AJSI welcomes contributions that demonstrate clear theoretical advancement, methodological rigour, practical relevance, or meaningful innovation.
AJSI particularly values interdisciplinary work that connects business and management perspectives with engineering knowledge and artificial intelligence to address complex real-world problems. The journal encourages research that supports sustainable development, responsible innovation, digital transformation, productivity, resilience, and inclusive technological progress.
Research Areas & Scope
The journal welcomes high-quality original research in, but not limited to, the following areas:
Business and Management
Strategic management; entrepreneurship; innovation and technology management; organisational behaviour; human resource management; operations management; supply chain management; project management; business analytics; digital transformation; finance; accounting; marketing; international business; corporate governance; sustainability; public management; nonprofit management; and organisational performance.
Engineering
All branches of engineering are within the scope of AJSI. Relevant areas include civil engineering; mechanical engineering; electrical and electronic engineering; industrial and manufacturing engineering; materials and metallurgical engineering; energy engineering; computer engineering; architectural engineering; systems engineering; and engineering management.
The journal also welcomes research on engineering design; infrastructure and construction; modelling and simulation; mechanics; thermodynamics; fluid mechanics; energy and power systems; electronics; communications; control systems; robotics; automation; manufacturing; materials; quality engineering; safety; reliability; optimisation; sustainability; and engineering applications addressing industrial, environmental, infrastructure, and societal challenges.
Artificial Intelligence and Data-Driven Innovation
Machine learning; deep learning; data science; data analytics; intelligent systems; natural language processing; computer vision; knowledge representation; decision-support systems; predictive modelling; optimisation; artificial intelligence governance; responsible and trustworthy AI; explainable AI; generative AI; robotics; autonomous systems; and AI applications in business, industry, engineering, education, healthcare, public services, and society.
Interdisciplinary and Applied Research
AJSI encourages integrative research across its core disciplines, including AI-enabled engineering, smart manufacturing, Industry 4.0, sustainable and intelligent infrastructure, digital business models, engineering management, technology entrepreneurship, data-driven operations, intelligent decision-making, innovation ecosystems, and responsible deployment of emerging technologies.
The journal welcomes empirical, theoretical, methodological, computational, design-oriented, and applied studies. Submissions should present a clear research question or contribution, employ appropriate and rigorous methods, and demonstrate relevance to the journal’s interdisciplinary mission.
Article Types
AJSI considers original research articles, systematic reviews, meta-analyses, methodological papers, theoretical or conceptual articles, empirical studies, case studies, and selected short communications.
The journal does not normally consider manuscripts that are outside its interdisciplinary focus, lack a clear scholarly contribution, are solely descriptive without adequate analysis, or do not demonstrate sufficient methodological rigour.