Number of Volumes 16
Number of Issues 70
Number of Articles 682
Number of Contributors 1,783
Article View 1,460,394
PDF Download 1,399,991
View Per Article 2141.34
PDF Download Per Article 2052.77
Number of Submissions 3,509
Rejected Submissions 2,202
Reject Rate 63
Accepted Submissions 257
Acceptance Rate 7
Time to Accept (Days) 194
Number of Indexing Databases 26
Number of Reviewers 271

Journal of Information Technology Management (JITM) is open access and a peer-reviewed quarterly journal devoted to the field of IT Management with the aim of developing administration knowledge, identifying the management problems in organizations and presenting the solutions. The submitted papers will be published after a special review as well as the approval of the editorial board.The journal was established by the Faculty of Management, the University of Tehran in 2009. The honorable professors and researchers are highly appreciated if they visit this site, register, submit and set up their papers based on authors' guidelines. Therefore, visiting in person or calling the journal office are not recommended, so all connections with authors and honorable reviewers are done through the website.


“This journal is following of Committee on Publication Ethics (COPE) and complies with the highest ethical standards in accordance with ethical laws”


Call for Papers


1. Strategic, Organizational, and Social Issues of Digital Transformation in Organizations



Current Issue: Volume 16, Issue 1, 2024, Pages 1-236 

Comparative Study on Different Machine Learning Algorithms for Neonatal Diabetes Detection

Pages 5-26


S. Thangamayan; Anurag Sinha; Vishal Moyal; K. Maheswari; Nimmala Harathi; Ahmad Nur Budi Utama

Brain Tumor Image Prediction from MR Images Using CNN Based Deep Learning Networks

Pages 44-60


Bolleddu Sudhakar; Poornima A Sikrant; Mudarakola Lakshmi Prasad; S Bhargavi Latha; Golconda Ravi Kumar; Sabavath Sarika; Pundru Chandra Shaker Reddy

Breast Cancer Classification through Meta-Learning Ensemble Model based on Deep Neural Networks

Pages 61-87


Sivaji U; Siva Padmini P; Chatrapathy K; K Arun Kumar; Kutralakani Chanthirasekaran; Vonguru Chandraprakash; Yadala Sucharitha

Efficient NetB3 for Enhanced Lung Cancer Detection: Histopathological Image Study with Augmentation

Pages 98-117


Bhavani Rupa Devi; Karthik Sagar Ashok; Seemanthini Krishne Gowda; Konatham Sumalatha; Ganesan Kadiravan; Ranjith Kumar Painam

Chronic Kidney Disease Risk Prediction Using Machine Learning Techniques

Pages 118-134


Baswaraj D; Chatrapathy K; Mudarakola Lakshmi Prasad; Pughazendi N; Ajmeera Kiran; Partheeban N; Pundru Chandra Shaker Reddy

Performance Comparison of Different Digital and Analog Filters Used for Biomedical Signal and Image Processing

Pages 135-148


Hemanand Duraivelu; Udaya Suriya Rajkumar Dhamodharan; Pamula Udayaraju; S. Jaya Prakash; Sasikumar Murugesan

Clinical Healthcare Applications: Efficient Techniques for Heart Failure Prediction Using Novel Ensemble Model

Pages 149-166


Ashwitha Anni Poojari; Sivaji Uppala; Bhavani Rupa Devi; Gandela Sujatha; Konduru Reddy Madhavi; Tammineni Ravi Kumar

An Intelligent Heart Disease Prediction by Machine Learning Using Optimization Algorithm

Pages 167-181


Jebakumar Immanuel D; Sathesh Abraham Leo E; Saranya S; Nithiya C; Arunkumar K; Pradeep D

Effectiveness of AI-Driven Knowledge Management System in Improving the Performance of Banking Sector in Jordan

Pages 182-200


Hamdan Hasan Al-Onizat; Ayman AbdulHadi Alarabiat; Tomader Jamil Bani-Ata; Hamzeh Ahmad Alawamleh; Mohammad Atwah Al-ma'aitah

Managing Customer Trust and Satisfaction on Chatbots in the Retail Industry

Pages 217-236


Mohd Farid Shamsudin; Affendy Abu Hassim; GholamReza Zandi; Siti Aisyah Esa

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