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 con...
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.
Articles
A multi-criteria decision-making framework for metaverse adoption: evidence from higher education systems
, 2026
Assessing middle managers' digital competency in manufacturing transformation: An integrated type-2 neutrosophic ExpTODIM approach
, 2026
Graph attention network with comorbidity connectivity embedding for post-traumatic epilepsy risk prediction using sparse time-series electronic health records
, 2026
A multi-objective decision-making approach for sustainable energy investment planning
, 2018
Investigating injury severity risk factors in automobile crashes with predictive analytics and sensitivity analysis methods.
, 2017
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
Predicting and explaining inflammation in Crohn's disease patients using predictive analytics methods and electronic medical record data
, 2019
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
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
, 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
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 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
An integrated approach for lean production using simulation and data envelopment analysis
, 2023
A fuzzy Einstein-based decision support system for public transportation management at times of pandemic
, 2022
A two-stage analytical approach to assess sustainable energy efficiency
, 2018
A Comparative Analysis of Machine Learning Methods for Classification Type Decision Problems in Healthcare
, 2014
No Place Like Home: A Cross-National Assessment of the Efficacy of Social Distancing during the COVID-19 Pandemic
, 2020
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
Text-Mining Analysis of mHealth Research
, 2017
An analytic approach to assessing organizational citizenship behavior
, 2017
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
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
Stochastic Capacity Acquisition and Allocation Model for Bandwidth Brokers under Fuzzy Volume Based Pricing Scheme
, 2016
