Üzeyir Fidan | Information Theory | Best Researcher Award Published on 30/08/202530/08/2025 by Math Scientist Dr. Üzeyir Fidan | Information Theory | Best Researcher Award Usak University, Turkey Dr. Üzeyir Fidan is an accomplished researcher and academic specializing in Management Information Systems, with expertise in data analytics, decision support systems, digital transformation, and sustainability. He holds a Ph.D. in Management Information Systems from Gazi University and serves as Lecturer and Director of Vocational School at Uşak University, where he also leads academic departments and commissions. His extensive research includes international collaborations and publications in high-impact journals indexed in SCI, SSCI, ESCI, IEEE, and Scopus, alongside contributions to book chapters and conferences. Actively engaged in academic leadership, he supervises postgraduate research, contributes to quality initiatives, and promotes innovation in education and research. As a member of professional bodies such as IEEE, ACM, and the International Society on MCDM, he exemplifies excellence in scholarship, leadership, and community engagement. Professional Profile Google Scholar | Scopus Profile | ORCID Profile Education Dr. Üzeyir Fidan built a solid academic foundation through diverse studies in mathematics, statistics, and management information systems. He earned his undergraduate degree in Mathematics from Afyon Kocatepe University, followed by a postgraduate degree in Statistics, where his thesis focused on support vector machines for document classification. His academic journey culminated with a Ph.D. in Management Information Systems from Gazi University, enabling him to specialize in data analytics, decision support systems, and digital transformation. Throughout his studies, he consistently combined theoretical knowledge with applied research, creating a multidisciplinary profile that bridges technology, decision sciences, and organizational systems. This diverse educational background has allowed him to develop an in-depth understanding of quantitative approaches, advanced computational techniques, and their applications to real-world problems in business, management, and information systems. Experience Dr. Üzeyir Fidan has extensive academic and administrative experience, holding multiple leadership roles at Uşak University. He has served as Director of Vocational School, Head of Department, and active member of institutional quality and academic commissions, contributing significantly to educational strategy, accreditation, and innovation in teaching. Alongside administrative leadership, he has taught courses in management information systems, data analysis, decision theory, project management, mathematics, and statistics, inspiring both undergraduate and postgraduate students. His supervision of postgraduate theses highlights his mentorship in research-driven learning. Dr. Fidan’s international presence is marked by his participation in scientific conferences, research projects, and academic collaborations. His professional journey combines classroom teaching, institutional governance, and active research, demonstrating his ability to balance education, administration, and scholarship with lasting impact on both academia and community. Research Interest Dr. Üzeyir Fidan’s primary research interests lie in Management Information Systems, with a strong focus on data analytics, digital transformation, sustainability, and decision support systems. He explores how organizations adapt to technological changes, applying advanced methods in multi-criteria decision-making, data mining, and artificial intelligence to address complex managerial and societal challenges. His research often integrates knowledge from information technology, organizational behavior, and computational models, producing innovative frameworks for business and technology alignment. He is particularly engaged in examining digitalization trends, corporate sustainability, and the role of data-driven strategies in decision-making processes. Through international collaborations, conference presentations, and publications in SCI, SSCI, and Scopus-indexed journals, he has contributed to advancing global scholarship. His interdisciplinary approach connects theory with practice, offering meaningful solutions for organizations, communities, and technology-driven ecosystems. Awards and Honors Dr. Üzeyir Fidan has earned recognition for his significant academic contributions, research achievements, and leadership in higher education. His publications in high-impact international journals such as SCI, SSCI, and IEEE-indexed platforms underscore his scholarly excellence and global visibility. He has authored book chapters with leading international publishers, reflecting his expertise in management information systems, digitalization, and sustainability. His active role in supervising research, mentoring students, and contributing to quality commissions has further solidified his academic influence. Membership in prestigious professional organizations such as IEEE, ACM, and the International Society on MCDM highlights his standing in the global academic community. These professional honors, combined with his dedication to advancing knowledge, demonstrate his commitment to both research and education, making him a highly regarded figure within international scholarly networks. Research Skill Dr. Üzeyir Fidan demonstrates advanced research skills in multi-criteria decision-making, data mining, artificial intelligence applications, and quantitative modeling. His ability to design and implement analytical frameworks for solving organizational and technological problems reflects his strength in integrating computational tools with managerial practices. He is proficient in applying decision trees, clustering techniques, support vector machines, and advanced statistical models to real-world case studies. His expertise extends to bibliometric analysis, systematic reviews, and sustainability assessments, enabling comprehensive insights into technological and organizational systems. Through his publications in reputable international journals and his work on applied research projects, Dr. Fidan showcases methodological rigor, innovation, and critical thinking. His research skillset is further strengthened by his involvement in collaborative, interdisciplinary projects that address complex global challenges in digital transformation and decision support. Publication Top Notes Title: Mapping the Effect of Corporate Reputation Perception on Purchase Intention Using a Decision TreeAuthors: B Gok, Ü FidanYear: 2019Citation: 9 Title: Could Bitcoin Be an Alternative for Portfolio Diversification Decisions? MEREC-Based VIKOR ApproachAuthors: Ü FidanYear: 2022Citation: 6 Title: Investigating the Association between Employee Silence and Perceived Organizational Support via Data MiningAuthors: Y Volkan, Ü FidanYear: 2020Citation: 5 Title: Assessment of Türkiye’s Digitalization Performance within the Framework of the UN Sustainable Development IndexAuthors: Ü FidanYear: 2024Citation: 4 Title: Economic and Financial Situation Research in PharmaciesAuthors: Ü Fidan, M Türker, Ö D AlbayrakYear: 2019Citation: 4 Title: Basic Statistical Methods in Determining Criteria WeightsAuthors: Ü FidanYear: 2025Citation: 3 Title: Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection SystemsAuthors: Ü Fidan, N A BozaYear: 2024Citation: 2 Title: Integrating Organizational Reputation Mechanism to Decision-Making Processes: Facebook CaseAuthors: V Yüncü, Ü FidanYear: 2019Citation: 2 Title: Deception or Illusion?Authors: V Yuncu, D P Bas, Ü FidanYear: 2017Citation: 2 Title: Data-Driven Business Intelligence Systems for Socio-Technical OrganizationsAuthors: P KeikhosrokianiYear: 2024Citation: 1 Title: Convergence or Divergence? Trends in the Digitalisation Index Cluster over the YearsAuthors: Ü FidanYear: 2024Citation: 1 Title: Assessment of Sustainability Compliance Performance of Information Technology CompaniesAuthors: Ü FidanYear: 2023Citation: 1 Title: Simulation-Based Comparison of Objective Weighting MethodsAuthors: Ü Fidan, M T AnpınarYear: 2022Citation: 1 Title: Planning Türkiye’s Power System Portfolio through Analytical Hierarchy Process and Data PreprocessingAuthors: Ü Fidan, M AtakYear: 2020Citation: 1 Conclusion Dr. Üzeyir Fidan embodies the qualities of a modern scholar, combining expertise in management information systems with a passion for innovation, sustainability, and education. His contributions to research, leadership, and international collaboration demonstrate his commitment to advancing knowledge and shaping future directions in academia and practice. Through impactful publications, teaching, and administrative leadership, he has played a vital role in enhancing institutional quality and promoting global academic engagement. His membership in international organizations further reflects his recognition as a respected researcher and leader. Looking forward, Dr. Fidan is poised to continue making significant contributions to digital transformation, decision sciences, and sustainability research, while mentoring the next generation of scholars. His record of excellence makes him a distinguished academic deserving of recognition and future leadership opportunities.
Dr. Üzeyir Fidan is an accomplished researcher and academic specializing in Management Information Systems, with expertise in data analytics, decision support systems, digital transformation, and sustainability. He holds a Ph.D. in Management Information Systems from Gazi University and serves as Lecturer and Director of Vocational School at Uşak University, where he also leads academic departments and commissions. His extensive research includes international collaborations and publications in high-impact journals indexed in SCI, SSCI, ESCI, IEEE, and Scopus, alongside contributions to book chapters and conferences. Actively engaged in academic leadership, he supervises postgraduate research, contributes to quality initiatives, and promotes innovation in education and research. As a member of professional bodies such as IEEE, ACM, and the International Society on MCDM, he exemplifies excellence in scholarship, leadership, and community engagement. Professional Profile Google Scholar | Scopus Profile | ORCID Profile Education Dr. Üzeyir Fidan built a solid academic foundation through diverse studies in mathematics, statistics, and management information systems. He earned his undergraduate degree in Mathematics from Afyon Kocatepe University, followed by a postgraduate degree in Statistics, where his thesis focused on support vector machines for document classification. His academic journey culminated with a Ph.D. in Management Information Systems from Gazi University, enabling him to specialize in data analytics, decision support systems, and digital transformation. Throughout his studies, he consistently combined theoretical knowledge with applied research, creating a multidisciplinary profile that bridges technology, decision sciences, and organizational systems. This diverse educational background has allowed him to develop an in-depth understanding of quantitative approaches, advanced computational techniques, and their applications to real-world problems in business, management, and information systems. Experience Dr. Üzeyir Fidan has extensive academic and administrative experience, holding multiple leadership roles at Uşak University. He has served as Director of Vocational School, Head of Department, and active member of institutional quality and academic commissions, contributing significantly to educational strategy, accreditation, and innovation in teaching. Alongside administrative leadership, he has taught courses in management information systems, data analysis, decision theory, project management, mathematics, and statistics, inspiring both undergraduate and postgraduate students. His supervision of postgraduate theses highlights his mentorship in research-driven learning. Dr. Fidan’s international presence is marked by his participation in scientific conferences, research projects, and academic collaborations. His professional journey combines classroom teaching, institutional governance, and active research, demonstrating his ability to balance education, administration, and scholarship with lasting impact on both academia and community. Research Interest Dr. Üzeyir Fidan’s primary research interests lie in Management Information Systems, with a strong focus on data analytics, digital transformation, sustainability, and decision support systems. He explores how organizations adapt to technological changes, applying advanced methods in multi-criteria decision-making, data mining, and artificial intelligence to address complex managerial and societal challenges. His research often integrates knowledge from information technology, organizational behavior, and computational models, producing innovative frameworks for business and technology alignment. He is particularly engaged in examining digitalization trends, corporate sustainability, and the role of data-driven strategies in decision-making processes. Through international collaborations, conference presentations, and publications in SCI, SSCI, and Scopus-indexed journals, he has contributed to advancing global scholarship. His interdisciplinary approach connects theory with practice, offering meaningful solutions for organizations, communities, and technology-driven ecosystems. Awards and Honors Dr. Üzeyir Fidan has earned recognition for his significant academic contributions, research achievements, and leadership in higher education. His publications in high-impact international journals such as SCI, SSCI, and IEEE-indexed platforms underscore his scholarly excellence and global visibility. He has authored book chapters with leading international publishers, reflecting his expertise in management information systems, digitalization, and sustainability. His active role in supervising research, mentoring students, and contributing to quality commissions has further solidified his academic influence. Membership in prestigious professional organizations such as IEEE, ACM, and the International Society on MCDM highlights his standing in the global academic community. These professional honors, combined with his dedication to advancing knowledge, demonstrate his commitment to both research and education, making him a highly regarded figure within international scholarly networks. Research Skill Dr. Üzeyir Fidan demonstrates advanced research skills in multi-criteria decision-making, data mining, artificial intelligence applications, and quantitative modeling. His ability to design and implement analytical frameworks for solving organizational and technological problems reflects his strength in integrating computational tools with managerial practices. He is proficient in applying decision trees, clustering techniques, support vector machines, and advanced statistical models to real-world case studies. His expertise extends to bibliometric analysis, systematic reviews, and sustainability assessments, enabling comprehensive insights into technological and organizational systems. Through his publications in reputable international journals and his work on applied research projects, Dr. Fidan showcases methodological rigor, innovation, and critical thinking. His research skillset is further strengthened by his involvement in collaborative, interdisciplinary projects that address complex global challenges in digital transformation and decision support. Publication Top Notes Title: Mapping the Effect of Corporate Reputation Perception on Purchase Intention Using a Decision TreeAuthors: B Gok, Ü FidanYear: 2019Citation: 9 Title: Could Bitcoin Be an Alternative for Portfolio Diversification Decisions? MEREC-Based VIKOR ApproachAuthors: Ü FidanYear: 2022Citation: 6 Title: Investigating the Association between Employee Silence and Perceived Organizational Support via Data MiningAuthors: Y Volkan, Ü FidanYear: 2020Citation: 5 Title: Assessment of Türkiye’s Digitalization Performance within the Framework of the UN Sustainable Development IndexAuthors: Ü FidanYear: 2024Citation: 4 Title: Economic and Financial Situation Research in PharmaciesAuthors: Ü Fidan, M Türker, Ö D AlbayrakYear: 2019Citation: 4 Title: Basic Statistical Methods in Determining Criteria WeightsAuthors: Ü FidanYear: 2025Citation: 3 Title: Individual Privacy Should Be an Institutional Value: Socio-Technical Design of University Data Collection SystemsAuthors: Ü Fidan, N A BozaYear: 2024Citation: 2 Title: Integrating Organizational Reputation Mechanism to Decision-Making Processes: Facebook CaseAuthors: V Yüncü, Ü FidanYear: 2019Citation: 2 Title: Deception or Illusion?Authors: V Yuncu, D P Bas, Ü FidanYear: 2017Citation: 2 Title: Data-Driven Business Intelligence Systems for Socio-Technical OrganizationsAuthors: P KeikhosrokianiYear: 2024Citation: 1 Title: Convergence or Divergence? Trends in the Digitalisation Index Cluster over the YearsAuthors: Ü FidanYear: 2024Citation: 1 Title: Assessment of Sustainability Compliance Performance of Information Technology CompaniesAuthors: Ü FidanYear: 2023Citation: 1 Title: Simulation-Based Comparison of Objective Weighting MethodsAuthors: Ü Fidan, M T AnpınarYear: 2022Citation: 1 Title: Planning Türkiye’s Power System Portfolio through Analytical Hierarchy Process and Data PreprocessingAuthors: Ü Fidan, M AtakYear: 2020Citation: 1 Conclusion Dr. Üzeyir Fidan embodies the qualities of a modern scholar, combining expertise in management information systems with a passion for innovation, sustainability, and education. His contributions to research, leadership, and international collaboration demonstrate his commitment to advancing knowledge and shaping future directions in academia and practice. Through impactful publications, teaching, and administrative leadership, he has played a vital role in enhancing institutional quality and promoting global academic engagement. His membership in international organizations further reflects his recognition as a respected researcher and leader. Looking forward, Dr. Fidan is poised to continue making significant contributions to digital transformation, decision sciences, and sustainability research, while mentoring the next generation of scholars. His record of excellence makes him a distinguished academic deserving of recognition and future leadership opportunities.