Dr. Dursun Delen is the holder of Spears Endowed Chair in Business Administration, Patterson Family Endowed Chair in Business Analytics, Director of Research for the Center for Health Systems Innovation, Regents Professor of Management Science and Information Systems in the Spears School of Business at Oklahoma State University, and Professor of Industrial Engineering at Istinye University. Dr. Delen has over 30 years of experience in analytics and data science both as a business consultant and university professor. Prior to his academic tenure, he worked for a privately-owned research and consultancy company as a research scientist for five years, during which he led a number of decision support, information systems and advanced analytics related research projects funded by federal agencies including DoD, NASA, NIST and DoE. Dr. Delen has published more than 150 peer-reviewed articles and 11 books/textbooks. He is often invited to national and international conferences for keynote addresses, and companies for consultancy engagements on topics related to business analytics, data/text mining, and knowledge management. He regularly serves as chair for tracks and minitracks at various business analytics and information systems conferences. Currently, he is serving on more than a dozen journal editorial boards as editor-in-chief, senior editor, associate editor, and editorial board member. He is the recipient of several research and teaching awards including the prestigious Fulbright scholar, regents distinguished teacher and researcher, and Big Data mentor awards.
Araştırma Alanları
- İş Analitiği
- İş Zekası
- Veri Bilimi
- Makina Öğrenmesi
- Yapay Zeka
- Karar Destek Sistemleri
- Medikal Veri Analizi
Çalışma Alanları
- Sosyal, Beşeri ve İdari Bilimler Temel Alanı
- Yönetim Bilişim Sistemleri
- Veri Bilimi ve Analitiği
- Karar Destek Sistemleri
- Yapay Zekâ Teknolojileri ve Yönetimi
- An integrated approach for lean production using simulation and data envelopment analysis, 2023
- A comparative analysis of machine learning techniques and fuzzy analytic hierarchy process to determine the tacit knowledge criteria, 2022
- Deep-learning-based short-term electricity load forecasting: A real case application, 2022
- A probabilistic data analytics methodology based on Bayesian Belief network for predicting and understanding breast cancer survival, 2022
- A Fuzzy Prescriptive Analytics Approach to Power Generation Capacity Planning, 2022
- Relationship between electronic health records strategy and user satisfaction: a longitudinal study using clinicians' online reviews, 2022
- A fuzzy Einstein-based decision support system for public transportation management at times of pandemic, 2022
- A novel diffusion-based model for estimating cases, and fatalities in epidemics: The case of COVID-19, 2021
- Predicting and Explaining Pig Iron Production on Charcoal Blast Furnaces: A Machine Learning Approach, 2021
- To imprison or not to imprison: an analytics model for drug courts, 2021
- A Comparative Analysis of Machine Learning Techniques and Fuzzy Analytic Hierarchy Process to Determine the Tacit Knowledge Criteria, 2021
- Predicting and Explaining Pig Iron Production on Charcoal Blast Furnaces: A Machine Learning Approach, 2021
- An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection, 2021
- Balanced scorecard-based analysis of customer expectations for cosmetology services: a hybrid decision modeling approach, 2021
- A Novel Diffusion-Based Model for Estimating Cases, and Fatalities in Epidemics: The Case of COVID-19 Journal of Business Research, 2021
- Crafting performance-based cryptocurrency mining strategies using a hybrid analytics approach, 2021
- To imprison or not to imprison: an analytics model for drug courts, 2021
- A Probabilistic Bayesian Inference Model to Investigate Injury Severity in Automobile Crashes, 2021
- Derivation and Validation of Essential Predictors and Risk Index for Early Detection of Diabetic Retinopathy Using Electronic Health Records, 2021
- How to beat the 90% failure rate in Digital Transformations, 2021
- Predicting and explaining corruption across countries: A machine learning approach, 2020
- Discovering opioid users' medical comorbidities: a data mining approach, 2020
- Research Themes and Trends in Ten Top-Ranked Nephrology Journals: A Text Mining Analysis, 2020
- Using predictive analytics to identify drug-resistant epilepsy patients, 2020
- Development of a Bayesian Belief Network-based DSS for predicting and understanding freshmen student attrition, 2020
- Assessing the supply chain performance: a causal analysis, 2020
- Big data analytics capabilities and firm performance: An integrated MCDM approach, 2020
- Determining Optimal Skillsets for Business Managers Based on Local and Global Job Markets: A Text Analytics Approach, 2020
- An integrated decision analysis methodology based on IF-DEMATEL and IF-ELECTRE for personnel selection, 2020
- Balanced scorecard-based analysis of customer expectations for cosmetology services: a hybrid decision modeling approach, 2020
- No Place Like Home: A Cross-National Assessment of the Efficacy of Social Distancing during the COVID-19 Pandemic, 2020
- Predicting and explaining inflammation in Crohn's disease patients using predictive analytics methods and electronic medical record data, 2019
- Post-acute care referral in United States of America: a multiregional study of factors associated with referral destination in a cohort of patients with coronary artery bypass graft or valve replacement, 2019
- Developing a hybrid analytics approach to measure the efficiency of deposit banks, 2019
- A two-stage analytical approach to assess sustainable energy efficiency, 2018
- A multi-objective decision-making approach for sustainable energy investment planning, 2018
- Modeling Airline MRO Operations Using a Systems Dynamics Approach: A Case Study of Turkish Airlines, 2018
- An ANP and Fuzzy TOPSIS-based SWOT Analysis for Turkey’xxs Energy Planning, 2018
- Development of a New Metric to Identify Rare Patterns in Association Analysis: The Case of Analyzing Diabetes Complications, 2018
- The Strategic Value of Big Data Analytics in Health Care Policy-Making, 2018
- The Analytics Paradigm in Business Research, 2018
- Processing electronic medical records to improve predictive analytics outcomes for hospital readmissions, 2018
- Introduction to the inaugural issue of journal of business analytics, 2018
- Research challenges and opportunities in business analytics, 2018
- Discovering Co-Occurring Medical Complications For Cocaine Users In African American Diabetic Kidney Patients: A Text Mining Method, 2018
- Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods., 2017
- Text-Mining Analysis of mHealth Research, 2017
- An analytic approach to assessing organizational citizenship behavior, 2017
- Investigating Injury Severity Risk Factors in Automobile Crashes with Predictive Analytics and Sensitivity Analysis Methods, 2017
- A Hybrid Heuristic Approach to Provider Selection and Task Allocation Problem in Telecommunications with Varying QoS Levels, 2017
- Knowledge Management and ERP: Complementary or Contradictory?, 2017
- A Data Analytics Approach to Building a Clinical Decision Support System for Diabetic Retinopathy: Developing and Deploying a Model Ensemble, 2017
- A Fuzzy Long-Term Investment Planning Model for a GenCo in a Hybrid Electricity Market Considering Climate Change Impacts, 2017
- Mobile-Based Sidewalk Inventory App for the Smart Communities, the Health, and the Safety, 2017
- Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme, 2016
- A Fuzzy-Hybrid Analytic Model to Assess Investors’xx Perceptions for Industry Selection, 2016
- Supporting the diagnosis process and processes after treatment by using image segmentation and image simulation techniques: Keratoconus example, 2016
- A Novel Method for Automated Diagnosis of Epilepsy using Complex-Valued Classifiers, 2016
- The Best” ERP system for SMEs using a combination of ANP and PROMETHEE methods, 2015
- Analyzing initial public offerings’xx short-term performance using decision trees and SVMs, 2015
- The Influence of Knowledge Management on Financial and Non-Financial Performance, 2015
- Predicting Overall Survivability in Comorbidity of Cancers: A Data Mining Approach, 2015
- Computer-Aided Diagnosis of Parkinson’s Disease Using Complex-Valued Neural Networks and mRMR Feature Selection Algorithm, 2015
- A Comparative Analysis of Machine Learning Methods for Classification Type Decision Problems in Healthcare, 2014
- Use of ANP Weighted Crisp and Fuzzy QFD for Product Development, 2014
- The Impact of Multinationality on Firm Value: A Comparative Analysis of Machine Learning Techniques, 2014
- Development of a Hybrid Methodology for ERP System Selection: The Case of Turkish Airlines, 2014
- A critical assessment of imbalanced class distribution problem: The case of predicting freshmen student attrition, 2014
- A Computer-Aided Grading System for Clinical Evaluation of Dry Eye Syndrome, 2016
- Analyzing the Predictability of Exchange Traded Funds Characteristics in the Mutual Fund Market on the Flow of Shares using a Data Mining Approach,
- Determining the Correct Diagnosis and Appropriate Treatment Method on Keratoconus: a 3D Decision Support Application,
- Classification of Parkinson’xxs Disease Using Complex-Valued Neural Networks,
- Evaluating Emotions in Mobile Application Descriptions: Sentiment Analysis Approach,
- Investigating the Temporal-Spatial Cross-Correlation between the Flu Activity on Twitter and Clinical Health Records,
- Social Media for Nowcasting the Flu Activity: Spatial-temporal and Text Analysis (BEST PAPER AWARD RECIPIENT),
- Investigating Cancer Comorbidity: A Data Mining Approach,
- Implementation of Computer Assisted Voice Search Engine for Medical Transcription,
- Data Integration and Predictive Analysis System for Disease Prophylaxis,
- The impact of real-time business intelligence and advanced analytics on the behaviour of business decision makers,
- Real-World Data Mining: Applied Business Analytics and Decision Making, ISBN: 9780133551075 (US), 2015
- Practical Text Mining and Statistical Analysis for Non-structured Text Data Applications, ISBN: 012386979X (US), 2012
- Advanced Data Mining Techniques, ISBN: 9783540769163 (US), 2008
- Analytics, Data Science, & Artificial Intelligence: Systems for Decision Support, ISBN: 0135192013 (US), 2019
- Business Intelligence, Analytics, and Data Science: A Managerial Perspective, ISBN: 0134633288 (US), 2018
- Prescriptive Analytics: The Final Frontier for Evidence-Based Management and Optimal Decision Making, ISBN: 0134387058 (US), 2019
- Predictive Analytics: Data Mining, Machine Learning and Data Science for Practitioners, ISBN: 0136738516 (US), 2020
- Analytics and Knowledge Management, ISBN: 9781351807005, 2017