IJISEM Logo

INTERNATIONAL JOURNAL OF INFORMATION SYSTEMS IN ENGINEERING AND MANAGEMENT (IJISEM)

Submit Manuscript

The International Journal of Information Systems in Engineering and Management (IJISEM) is a peer-reviewed, open-access scholarly journal dedicated to advancing research and innovation at the intersection of information systems, engineering, and management.

IJISEM provides a global platform for academics, researchers, and practitioners to share cutting-edge developments, practical solutions, and theoretical insights in the design, implementation, and application of information systems across various engineering and management domains.

The journal welcomes original research articles, case studies, technical notes, and review papers that explore topics such as data analytics, enterprise systems, digital transformation, cyber-physical systems, smart technologies, and the integration of IT solutions in modern engineering and managerial practices.

Committed to academic excellence and interdisciplinary collaboration, IJISEM aims to foster a deeper understanding of how information systems drive efficiency, innovation, and strategic decision-making in complex organizational and technological environments.

ISSN (Online): 3049-2904

Current Issue

Original Research
OPTIMIZING STUDENT OUTCOMES: THE ROLE OF BLOCKCHAIN IN ACADEMIC PERFORMANCE MANAGEMENT
Sapana Garud
👁️ 798 Views ⬇️ 798 Downloads
DOI:
Read Article
Original Research
LEVERAGING GENERATIVE AI FOR BUSINESS INTELLIGENCE IN BANKING PLATFORMS: IMPLEMENTATION AND IMPLICATIONS
Venkata Subramanya, Sai Kiran, Vedagiri
👁️ 589 Views ⬇️ 589 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 25 Views ⬇️ 25 Downloads
DOI:
Read Article
👁️ Views ⬇️ Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 18 Views ⬇️ 18 Downloads
DOI: ttt
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 21 Views ⬇️ 21 Downloads
DOI: ttt
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 16 Views ⬇️ 16 Downloads
DOI: ttt
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 16 Views ⬇️ 16 Downloads
DOI: ttt
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 21 Views ⬇️ 21 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 19 Views ⬇️ 19 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 16 Views ⬇️ 16 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 16 Views ⬇️ 16 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 18 Views ⬇️ 18 Downloads
DOI: ttt
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 18 Views ⬇️ 18 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 18 Views ⬇️ 18 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 19 Views ⬇️ 19 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 20 Views ⬇️ 20 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 21 Views ⬇️ 21 Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 21 Views ⬇️ 21 Downloads
DOI:
Read Article
Original Research
LEVERAGING GENERATIVE AI FOR BUSINESS INTELLIGENCE IN BANKING PLATFORMS: IMPLEMENTATION AND IMPLICATIONS
Venkata Subramanya, Sai Kiran, Vedagiri
👁️ 6 Views ⬇️ 6 Downloads
DOI:
Read Article
Original Research
affffbrbtbstqts
Venkata Subramanya, Sai Kiran, Vedagiri
👁️ Views ⬇️ Downloads
DOI: nnjh
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS.
👁️ 52 Views ⬇️ 52 Downloads
DOI: BBB
Read Article
Original Research
DESIGNING SECURE AND SCALABLE PYTHON EXECUTION FRAMEWORKS IN BUSINESS INTELLIGENCE SYSTEMS
Venkata Subramanya, Sai Kiran, Vedagiri
👁️ Views ⬇️ Downloads
DOI:
Read Article
Original Research
OPTIMIZING STUDENT OUTCOMES: THE ROLE OF BLOCKCHAIN IN ACADEMIC PERFORMANCE MANAGEMENT
Sapana Garud
👁️ Views ⬇️ Downloads
DOI:
Read Article
Original Research
MACHINE LEARNING FRAMEWORK FOR EARLY DETECTION OF FIRST-PARTY FRAUD IN CONSUMER CREDIT SYSTEMS
Adinarayana Reddy Lakku
👁️ 7 Views ⬇️ 7 Downloads
DOI: https://doi.org/10.5281/zenodo.22869289
Read Article
Original Research
DESIGNING SECURE AND SCALABLE PYTHON EXECUTION FRAMEWORKS IN BUSINESS INTELLIGENCE SYSTEMS
Vinoth Manamala Sudhakar
👁️ 7 Views ⬇️ 7 Downloads
DOI: https://doi.org/10.5281/zenodo.22869765
Read Article
Original Research
OPTIMIZING STUDENT OUTCOMES: THE ROLE OF BLOCKCHAIN IN ACADEMIC PERFORMANCE MANAGEMENT
Sapana Garud
👁️ 8 Views ⬇️ 8 Downloads
DOI: https://doi.org/10.5281/zenodo.22870026
Read Article
View All Articles

News and Feed

We are pleased to announce the publication of Volume 1, Issue 1 of the International Journal of Information Systems in Engineering and Management. This inaugural issue inaugurates our mission to advance high-quality research in information systems, engineering, and management—providing a platform for researchers, practitioners, and policymakers to disseminate novel findings, methodologies, and impactful applications. The editorial board extends sincere appreciation to the authors, reviewers, and advisory members whose expertise and dedication made this first issue possible.
Image 1
Image 2
Image 3
Image 4
Image 5