Editorial Board

Director-in-Charge

Hossein Saberi

Artificial Intelligence, Knowledge Management Assistant Professor, Department of Artificial Intelligence, Faculty of Management, Imam Hossein University, Tehran, Iran

hsaberiihu.ac.ir
+982177105776
0009-0002-4865-4348

Editor-in-Chief

Rouhollah Tavallaei

Knowledge Management, Strategic Management, Technology Management, Islamic Management Associate Professor, Department of Knowledge Management, Faculty of Management, Imam Hossein University, Tehran, Iran

facultymembers.sbu.ac.ir/tavallaei/
tavallaeiihu.ac.ir
+982177105823
0000-0002-3551-3469

h-index: Scopus: 5; Google Scholar: 11  

Rouhollah Tavallaee received his Ph.D. degree with honors in Industrial Management (Production and Operations) from Allameh Tabataba’i University, Tehran. He was a faculty member at the Faculty of Management and Accounting at Shahid Beheshti University from 2012 to 2017. He subsequently joined Imam Hossein Comprehensive University, where he is currently Associate Professor of Knowledge Management at the Faculty of Management and Economics and serves as Deputy for Scientific Interactions and International Affairs (since 2023), having previously held positions such as Deputy for Education and Training (2021–2023) and Dean of the Faculty of Management and Economics (2019–2021).

Since joining the faculty, Dr. Tavallaee has taught a wide range of undergraduate and graduate courses in knowledge management, strategic management, organizational excellence, research methodology in management, business intelligence, jihad-oriented management, and Islamic transformation of human sciences. At the doctoral level, he regularly offers specialized seminars on strategic knowledge management, indigenous management models, qualitative research methods in organizational studies, and advanced knowledge acquisition techniques.

Dr. Tavallaee is the author of more than 190 peer-reviewed publications, including over 110 journal articles (national and international) and 81 conference papers. He has authored and co-authored 14 scholarly books, among them Strategic Knowledge Management (2024), Organizational Knowledge Map: From Concept to Practice (2025), and Modern Concepts and Applications of Knowledge Management (2016). His works have received more than 350 citations in Google Scholar.

He serves as editor-in-chief of the scientific journal Organizational Knowledge Management (ranked “A” by the Ministry of Science, Research and Technology) and as an editorial board member of several reputable journals, including Islamic Management and Strategic Research in Budget and Finance. Dr. Tavallaee has been a keynote speaker at national seminars on the Comprehensive Plan for Islamic Management (Najma) and has provided high-level consulting on knowledge management and strategic projects for major Iranian institutions.

His current research interests focus on organizational knowledge management, indigenous-Islamic strategic management models, knowledge extraction from experts, university cadre-building for Islamic civilization, organizational resilience, and the Islamic transformation of management and human sciences.


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International Editorial Board

Peyman Akhavan

Knowledge Management, Entrepreneurship, Innovation management, Digital Transformation, HRM Essex Business School, University of Essex, Southend-on-Sea, U.K

ieeexplore.ieee.org/author/37938012900
peyman.akhavanessex.ac.uk
+98252536641601
0000-0001-6256-3288

h-index: Scopus: 26; Google Scholar: 43  

Peyman Akhavan is a Lecturer at Essex Business School, University of Essex, Southend-on-Sea, U.K. He holds a PhD in Industrial Engineering, earned in 2007 from the Iran University of Science and Technology, where he developed a strong foundation in organizational systems, innovation, and knowledge-driven management processes. His academic work sits at the intersection of knowledge management, innovation management, entrepreneurship, digital transformation, and human resource management, reflecting a multidisciplinary orientation toward understanding how organizations adapt and innovate in rapidly changing environments.

Dr. Akhavan is a highly productive researcher with an extensive publication record, authoring more than one hundred research papers in reputable international journals and scientific outlets. His research spans a broad range of applied and theoretical domains, including supply chain management, blockchain technologies, authentication systems, industrial and automotive ecosystems, business environment analysis, chaotic systems, clustering methods, and digital innovation architectures. His work frequently addresses challenges related to organizational learning, knowledge flows, technological adoption, and performance improvement within complex operational settings.

By integrating perspectives from engineering, management, and digital technologies, Dr. Akhavan contributes to advancing scholarly and practical understanding of how knowledge-intensive processes drive organizational effectiveness. His academic activities continue to support research, teaching, and engagement with industry and policy communities in areas central to innovation, transformation, and strategic human resource development.



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Ilham Sentosa

Marketing , Business Administration, Consumer Economics, Probability Theory, Statistics, Quantitative Social Research Professor, Department of Management and Entrepreneurship, Faculty of Business, University of Kuala Lumpur, Malaysia

research.unikl.edu.my/view/ilham
ilhamunikl.edu.my
+60321754000
0000-0002-8362-2205

h-index: Scopus: 10; Google Scholar: 24  

Ilham Sentosa is a Professor of Management and Entrepreneurship at the Universiti Kuala Lumpur Business School, Malaysia. He specializes in marketing, business administration, consumer economics, and quantitative social research, with additional expertise in probability theory and applied statistics. His academic background reflects a strong interdisciplinary orientation, integrating analytical, behavioral, and managerial perspectives to explore how consumers, markets, and organizations behave within rapidly evolving economic environments.

Professor Sentosa has developed a significant body of scholarly work spanning statistical modeling, quantitative methods in social sciences, consumer behavior, market performance analysis, and strategic business decision-making. His research contributes to both theoretical advancements and practical applications in areas such as customer satisfaction, market dynamics, brand management, and data-driven decision systems. Over the course of his academic career, he has published extensively in reputable journals and has supervised numerous postgraduate research projects in marketing analytics, business strategy, and quantitative modeling.

With a strong commitment to academic leadership and institutional development, Professor Sentosa plays an active role in advancing the research culture at Universiti Kuala Lumpur. His professional activities include mentoring emerging scholars, leading collaborative research initiatives, and contributing to curriculum development in management, entrepreneurship, and quantitative research methods.

 

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Timur Mradovich Sadykov

artificial intelligence, neural technology, business analysis Department of Mathematics and Computer Science, Plekhanov Russian University of Economics, Moscow, Russia

www.researchgate.net/profile/Timur-Sadykov-2
sadykov.tmrea.ru
+74959582743
0000-0003-0741-2318

h-index: Scopus: 9; Google Scholar: 13  

Timur Mradovich Sadykov is a researcher and academic affiliated with the Department of Mathematics and Computer Science at Plekhanov Russian University of Economics in Moscow, Russia. His scholarly work spans artificial intelligence, neural technologies, and business analysis, reflecting a strong interdisciplinary orientation at the intersection of computational methods, intelligent systems, and applied economic modeling. He contributes to the development of analytical frameworks and intelligent algorithms designed to support decision-making across complex economic and organizational settings.

His research interests include advanced neural computation, data-driven analysis, predictive modeling, and the integration of AI techniques into business intelligence systems. He has participated in international scientific initiatives and workshops, with contributions to areas such as symbolic computation, numerical algorithms, and AI-enhanced analytical tools. His work bridges theoretical approaches in computer science with practical applications relevant to industry, economics, and digital transformation.

Timur Mradovich Sadykov is also active in collaborative research networks, engaging with scholars across disciplines to develop novel computational methodologies and intelligent automated systems. Through his academic activities, he supports the advancement of artificial intelligence applications within economic sciences while contributing to capacity building, scholarly dissemination, and the growth of interdisciplinary computational research.

 

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Alaa Hamza Omran

Artificial intelligence, Artificial neural network University of Information Technology and Communication, Baghdad, Iraq

uoitc.edu.iq/
alaa.hamza90uoitc.edu.iq
+96407811887211
0000-0001-9094-3755

h-index: Scopus: 9; Google Scholar: 12  

Alaa Hamza Omran is a researcher and academic at the University of Information Technology and Communication in Baghdad, Iraq. His scholarly interests focus on artificial intelligence and artificial neural networks, with a particular emphasis on developing intelligent computational models and machine-learning techniques for complex problem-solving across engineering and information systems. His work intersects applied AI, predictive analytics, and algorithmic modeling, contributing to the growing body of research on intelligent digital solutions in the region.

He has published several scientific papers indexed in international databases, demonstrating active engagement in research areas such as neural computation, pattern recognition, optimization algorithms, and intelligent decision-support systems. His studies often explore the design, training, and evaluation of artificial neural networks, addressing both theoretical foundations and practical applications in domains where AI can enhance accuracy, automation, and performance.

Beyond his research contributions, Alaa Hamza Omran participates in collaborative academic initiatives and supports the development of AI-related projects within his institution. His work reflects a commitment to advancing artificial intelligence education and fostering innovation in computational sciences, contributing to the broader academic and technological development of Iraq.

 

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Sinan Alkassar

Artificial intelligence, Artificial neural network Computer and Information Engineering Department, Electronics Engineering College, Ninevah University, Mosul, Iraq

uoninevah.edu.iq/en/home-page/
sinan.alkassaruoninevah.edu.iq
+9647740853230
0000-0002-6211-6549

h-index: Scopus: 8; Google Scholar: 9  

Sinan Alkassar, PhD, AFHEA, is an Assistant Professor at the School of Electrical and Electronic Engineering, Ninevah University in Iraq. His research spans image processing, biometrics, pattern recognition, signal analysis, and communication systems. He specializes in computational techniques and algorithmic approaches used to solve applied problems in computer vision and intelligent systems.

Dr. Alkassar’s methodological expertise includes convolutional neural networks, machine learning–based classification models, biometric recognition algorithms, and advanced signal and image processing techniques. His recent works focus on medical image analysis, biometric identification—including sclera and iris-based methods—brain tumor segmentation, histopathological image classification, and channel estimation for next-generation communication systems.

He has authored numerous journal articles and conference papers indexed in international databases such as Scopus, covering a broad range of topics including biomedical imaging, biometric security, pattern recognition, and electronic communication technologies. His publication record reflects strong interdisciplinary engagement and collaboration with researchers working at the interface of engineering, artificial intelligence, and applied computational sciences.

Dr. Alkassar continues to contribute to academic and applied research initiatives, advancing the development of intelligent systems and engineering solutions for real-world challenges in healthcare imaging, security technologies, and communication engineering.

 

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Maryam Nakhoda

Information Science, Interdisciplinary Research Department of Information Science, University of Otago, Dunedin, New Zealand

managementold.ut.ac.ir/~mnakhoda/network
maryam.nakhodapostgrad.otago.ac.nz
+6434797000
0000-0002-6558-7880

h-index: Scopus: 6; Google Scholar: 9  

Maryam Nakhoda is a faculty member in the Department of Information Science at the University of Otago, Dunedin, New Zealand. Her academic work focuses on information science and interdisciplinary research, with a particular interest in how information systems, digital resources, and knowledge practices support decision-making and organizational effectiveness. She has been involved in advancing the study of information behavior, knowledge dissemination, and the evolving role of information infrastructures within contemporary institutions.

Throughout her career, Associate Professor Nakhoda has contributed to research and teaching across a broad array of topics related to information management, digital literacy, and the intersections of technology and society. Her scholarly work reflects an integrative approach, drawing on methods and perspectives from multiple disciplines to explore how individuals and organizations interact with information in complex environments. She has authored and co-authored numerous academic publications and has supervised postgraduate research in areas such as information systems design, digital resource management, and interdisciplinary knowledge practices.

In addition to her research and teaching responsibilities, Associate Professor Nakhoda plays an active role in fostering academic development within her department and the broader university community. She has participated in curriculum design, postgraduate mentoring, and collaborative research initiatives aimed at expanding the scope of information science education.

 

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Evgenii Katuntsov

Information Technology, Artificial Intelligence, Network Department of Informatics and Computer Technologies, St. Petersburg Mining University, St. Petersburg, Russia

katuntsov_evpers.sp
+78123214081
0000-0001-8345-0979

h-index: Scopus: 2; Google Scholar: 5  

Web of Science ResearcherID: D-6619-2015
Scopus Author ID: 57191523004
Google Scholar
ResearchGate

Mohammad Ali Taheri

Knowledge Management,, E-Business, International Business, Big Data, Artificial Intelligence Institute of Information Management, University of Manchester,, UK

ckmihu.ac.ir

Editorial Board

Reza Hosnavi

Knowledge Management, Artificial Intelligence Professor, Department of Knowledge Management, Faculty of Management, Malek Ashtar University of Technology, Tehran, Iran

en.civilica.com/p/185021/
hosnavimut.ac.ir
+982122945141
0000-0003-3673-6039

h-index: Scopus: 13  

Reza Hosnavi is a faculty member at Malek-Ashtar University of Technology and an active scholar in the fields of knowledge management, technology management, resilient economy, and crisis management. He has served on the editorial boards of the Journal of Engineering Management and Soft Computing, the Journal of Crisis Management, the Quarterly Journal of Strategic Management Studies, and three additional academic journals. Over the course of his career, Dr. Hosnavi has published 45 journal articles in Iranian scholarly journals and 25 conference papers, and has also contributed to the publication of 15 ISI-indexed articles. Throughout 24 years of research activity, he has collaborated directly with 32 different researchers, with his most frequent collaboration being with Peyman Akhavan, resulting in five co-authored publications. His research contributions primarily focus on knowledge management, technology, resilient economy, and crisis management.

 

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Ali Asghar Pourezzat

Public Administration, Social Justice, Public Policy. Futures Studies, Strategic Management, Governance ,Islamic Management Professor, Department of Management, Faculty of Governance, University of Tehran, Tehran, Iran

profile.ut.ac.ir/~pourezzat
pourezzatut.ac.ir
+982188220537
0000-0002-1875-3479

h-index: Scopus: 6; Google Scholar: 17  

Ali Asghar Pourezzat is a distinguished scholar in Public Administration and Governance at the Faculty of Governance, University of Tehran, Iran. With an extensive academic career spanning public administration, social justice, public policy, futures studies, strategic management, and Islamic management, he is widely recognized as one of Iran’s leading authorities in administrative sciences. His work integrates theoretical depth with applied insights, addressing governance challenges, ethical foundations of public service, and long-term societal transformations.

Professor Pourezzat’s scholarship focuses on the dynamics of policy design, administrative justice, strategic foresight, and governance models rooted in indigenous and Islamic perspectives. He has authored substantial research contributions, including books, peer-reviewed articles, and policy-oriented studies that have shaped contemporary debates in public sector reform, ethical leadership, and strategic public management. His research often emphasizes the importance of justice-oriented governance, people-centered policy processes, and the cultivation of public organizations grounded in ethical and cultural values.

In addition to his scholarly achievements, Professor Pourezzat has played a significant role in academic leadership at the University of Tehran, supervising numerous master’s and doctoral dissertations and participating in national committees and high-level advisory councils. His academic influence extends across teaching, research, and institutional development, contributing to the advancement of governance studies and public administration in Iran.

 

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Moslem Bagheri

مدیریت عمومی، مدیریت گردشگری، مدیریت منابع انسانی Associate Professor, Department of Management, Faculty of Economics, Management and Social Sciences, Shiraz University, Shiraz, Iran

ensani.ir/fa/article/author/142179
bagherimoslemshirazu.ac.ir
+987136286420
0000-0002-7821-8937

h-index: Scopus: 7; Google Scholar: 11  

Ameneh Khadivar

Knowledge Based System, Information System, Expert System, Knowledge Management, Information Technology Management Associate Professor, Department of Management, Faculty of Management, Alzahra university ,Tehran , Iran

staff.alzahra.ac.ir/khadivar
a.khadivaralzahra.ac.ir
+982188058491
0000-0003-4620-1409

h-index: Scopus: 6; Google Scholar: 14  

Ameneh Khadivar is a faculty member in the Department of Management at Alzahra University in Tehran, Iran. Her academic work focuses on knowledge-based systems, information systems, expert systems, knowledge management, and information technology management. With an interdisciplinary background bridging engineering, management, and information sciences, she contributes to advancing research and teaching in intelligent systems and organizational knowledge architectures.

Dr. Khadivar earned her PhD in Systems Management from Tarbiat Modares University, where she developed expertise in complex systems analysis, knowledge structures, and decision-support methodologies. She also holds an MSc in Information Technology Management from Tarbiat Modares University and a BSc in Industrial Engineering from Iran University of Science and Technology. This diverse academic foundation has enabled her to work at the intersection of technology, management, and system-level thinking, addressing real-world challenges in organizational intelligence and information management.

Throughout her career, Dr. Khadivar has been involved in research, teaching, and supervision of graduate students in areas such as expert systems, knowledge engineering, IT strategy, and digital transformation. Her scholarly contributions reflect a commitment to integrating technological innovation with managerial insight, helping organizations enhance decision-making processes and build resilient knowledge infrastructures.

 

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Ali Mohammad Ahmadvand

Strategic Management, System dynamics, Change Management, Decision Making Professor, Department of Strategic Management, Faculty of Management, University of Eyvanekey, Eyvanekey, Iran

eyc.ac.ir/ShowProfessor.aspx?mid=9566
a.ahmadvandeyc.ac.ir
+982331432
0000-0003-2141-554X

h-index: Scopus: 5; Google Scholar: 13  

Web of Science ResearcherID:
Scopus Author ID: 35809922400
Google Scholar
ResearchGate

Ali Rezaeian

Leadership, Organizational Behavior System, Thinking Professor, Department of Management, Faculty of Management, Shahid Beheshti University, Tehran. Iran

manage.iauctb.ac.ir/fa/page/2467/
a-rezaeiansbu.ac.ir
0000-0002-0563-389x

h-index: Scopus: 4; Google Scholar: 18  

Ali Rezaeian is a distinguished Professor of Management at the Faculty of Management, Shahid Beheshti University, Tehran, Iran. He is widely recognized for his scholarly contributions to the fields of leadership, organizational behavior, and systems thinking. Throughout his academic career, he has played a pivotal role in shaping the intellectual development of management studies in Iran, particularly through his emphasis on integrated organizational analysis, behavioral insights, and leadership development models.

Professor Rezaeian’s research and teaching interests span a broad spectrum of management areas, including organizational culture, ethical leadership, human behavior in complex systems, and managerial decision-making processes. His work highlights the interplay between human behavior, organizational structures, and systemic dynamics. Over the years, he has authored influential books and research articles that have significantly impacted management education and executive training programs across the country. His contributions have guided both scholars and practitioners in enhancing organizational effectiveness and cultivating evidence-informed leadership approaches.

Beyond his academic output, Professor Rezaeian has played a substantial leadership role within Shahid Beheshti University and the broader academic community. He has supervised numerous master's and doctoral theses, contributed to national policy discussions, and participated in key academic committees focused on developing management science in Iran.

 

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Sayed Mohammad Moghimi

Public Administration, Entrepreneurship, Islamic Management, Behavioral Sciences Management Professor, Department of Management, Faculty of Management, Tehran University, Tehran, Iran

www.prof-moghimi.ir/
moghimiut.ac.ir
+982161111
0000-0002-9866-2170

h-index: Scopus: 4; Google Scholar: 18  

Mohammad Reza Hasani Ahangar

Artificial intelligence, Artificial neural network Professor, Department of Artificial Intelligence, Faculty of Management, Imam Hossein University, Tehran, Iran

civilica.com/p/185409/
mrhasaniihu.ac.ir
+982177105776
0000-0002-5815-5983

h-index: Scopus: 3; Google Scholar: 10  

Mohammad Reza Hasani Ahangar is a Full Professor in the Department of Computer Engineering at Imam Hossein University. With an exceptional academic record—including top national rankings during both his master’s and PhD studies—he has established deep expertise in artificial intelligence, computational intelligence, machine learning, soft computing, and fault-tolerant systems. Over more than two decades, he has taught a wide range of advanced graduate-level courses such as expert systems, knowledge engineering, neural networks, fuzzy logic, genetic algorithms, data mining, advanced operating systems, and computer system modeling. He has supervised numerous master’s theses and doctoral dissertations and contributed to the development of specialized academic programs, including the design of the PhD curriculum in Artificial Intelligence. 
As a prolific researcher, Dr. Hasani Ahangar has been principal investigator or collaborator on more than thirty major design, development, and system-production projects across multiple research centers and institutes. His scholarly record includes more than 225 peer-reviewed publications, several national and international conference papers, three patents, and multiple authored or translated books in areas such as artificial intelligence, computational intelligence, cryptography, network security, and reliable software systems. His research achievements have earned him numerous national honors and awards, including distinctions from leading scientific and defense institutions, recognizing his contributions to innovation, scientific advancement, and national strategic capabilities. 
In addition to his academic and research contributions, Dr. Hasani Ahangar has held significant leadership roles. He has served as President of Imam Hossein Comprehensive University since 2012 and has played a central role in establishing several research institutes and specialized centers. He is an active member of multiple national councils and committees in areas such as artificial intelligence, cognitive science, strategic thought, youth talent development, and cultural transformation. His career reflects a sustained commitment to advancing scientific knowledge, strengthening research infrastructures, and promoting innovation at the intersection of academia, technology, and national development.

 

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Vajhollah Ghorbanizadeh

Public Administration, Governance, System Management Professor, Department of Management, Faculty of Management and Accounting, Allameh Tabatabai University, Tehran, Iran

civilica.com/p/197382/
vghorbanizadehgmail.com
+982148392838
0000-0001-7621-7597

h-index: Scopus: 1; Google Scholar: 11  

Ali Farrahi

Public Management, Organizational Behavior, Human Resources Management Professor, Department of Human Resources, Faculty of Management, Imam Hossein University, Tehran, Iran

civilica.com/p/184747/
hrm_ihuyahoo.com
+982177105645
0000-0001-5891-150X

h-index: Google Scholar: 9  

Web of Science ResearcherID:
Scopus Author ID: 
Google Scholar
ResearchGate

Gholamhossein Nikookar

System Management, Intellectual Capital, Knowledge Management Professor, Department of Human Resources, Faculty of Management, Imam Hossein University, Tehran, Iran

civilica.com/p/202791/
ghnikookarchmail.ir
+982177105823
0000-0002-9008-2788

h-index: Scopus: 2; Google Scholar: 6  

Gholamhossein Nikookar is a faculty member at Imam Hossein University and an active researcher in knowledge management, performance evaluation, stock return analysis, and organizational measurement. He has served on the editorial boards of the Journal of Intelligent Marketing Management and the Journal of Systems Engineering and Productivity and has been the Editor-in-Chief of the Journal of Managerial and Organizational Excellence Studies. Over his academic career, he has published 36 journal articles in Iranian scholarly journals and 16 conference papers. Across 22 years of research activity, he has collaborated with 13 different researchers, with his most frequent collaboration being with Hamidreza Vakilifard, resulting in five co-authored publications. His contributions primarily focus on knowledge management, performance assessment, and financial and organizational analysis.

 

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Gholamreza Goodarzi

Islamic Management, Future Studies, Decision Making, Industrial Management Professor, Department of Industrial Management, Faculty of Islamic Studies and Management, Imam Sadegh University, Tehran, Iran

isu.ac.ir/cv/205/Goodarzi
rgodarziyahoo.com
+982188064001
0000-0002-1908-9549

h-index: Google Scholar: 2  

Web of Science ResearcherID:
Scopus Author ID:
Google Scholar
ResearchGate

Naser Poursadeq

Knowledge Management, , Strategic Management Professor, Department of Knowledge Management, Faculty of Strategic Management, National Defense University, Tehran, Iran

civilica.com/p/227330/
nasersndu.ac.ir
+982127351

Past Editorial Board

Sha'ban Elahi

Knowledge Management, Information Technology Management Associate Professor, Tarbiat Modares University, Tehran, Iran

www.modares.ac.ir/mae/elahi
elahimodares.ac.ir
+983431312806

h-index: 14  

Abbas Chahardoli

Strategic knowledge management, knowledge management Associate Professor, National Defense University, Tehran, Iran

civilica.com/p/185411/
tvm_abbasyahoo.com
+982127351