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Asil Oztekin

Asil Oztekin
Dr. Asil OztekinAssociate Professor

Research Interests

business analytics, data mining, decision support systems, big data, medical informatics, healthcare engineering


  • Ph D: Industrial Engineering and Management, (2010), Oklahoma State University - Stillwater, OK


Dr. Asil Oztekin is an Associate Professor of Analytics & Operations Management and the Coordinator of the Ph.D. Concentration in Management Science at the Manning School of Business. Dr. Oztekin is also serving as the contributing associate member of the Management Analytics & Decision Making Group at Massey University, New Zealand. He has served as the Vice Chair (Chair-Elect) of the INFORMS Data Mining Section for the 2016-2017 academic year and as its Chair within 2017-2018, which is the world's largest data mining community within the business schools. Oztekin is certified by SAS® as a Predictive Modeling & Data Mining expert and as a Causal Analytics expert by Neusrel®. He is a member of INFORMS and Decision Sciences Institute. His work has been published in high-impact journals such as Decision Support Systems, European Journal of Operational Research, International Journal of Production Research, OMEGA, Information Systems Frontiers, and Annals of Operations Research among others. One of his publications entitled “An RFID Network Design Methodology for Asset Tracking in Healthcare” has been listed amongst the Most Cited journal articles at the Decision Support Systems journal. Oztekin has edited four special issues as a guest co-editor: "Data Mining & Decision Analytics" at the Decision Sciences journal, “Business Analytics: Defining the field and identifying a research agenda” at the European Journal of Operational Research, “Data Mining & Analytics” at the Annals of Operations Research journal, and “Intelligent Computational Techniques in Science, Engineering, and Business” at the Expert Systems with Applications journal. Asil Oztekin is serving as an Associate Editor of Decision Sciences journal (Business Analytics section) and as an Associate Editor of the Decision Support Systems journal. He is also the Coordinating Editor of the Information Systems Frontiers journal within its executive group and the Area Editor of Business Analytics & Big Data section for the Journal of Modelling in Management. He is listed as an official Editorial Review Board member for the Journal of Business Research, Industrial Management & Data Systems, Journal of Computer Information Systems, Service Business: an International Journal, International Journal of Medical Engineering & Informatics, Journal of Information & Knowledge Management among others. He serves as an ad-hoc reviewer for Journal of Management Information Systems, Decision Support Systems, Decision Sciences, International Journal of Forecasting, International Journal of Production Research, International Journal of Production Economics, Annals of Operations Research, Computers & Industrial Engineering, Information Technology & Management, Applied Mathematical Modelling, Journal of Manufacturing Systems, Computer Methods & Programs in Biomedicine, and Computers in Biology & Medicine journals among others. Dr. Oztekin often leads mini-tracks and sessions at INFORMS and HICSS conferences such as Data, Text, & Web Mining for Business Analytics, Data Mining in Decision Making, Predictive Analytics & Big Data, Data Mining & Analytics and etc. He has chaired the INFORMS 2015 Data Mining & Analytics Workshop and INFORMS 2016 Data Mining & Decision Analytics Workshop. He has also chaired the Business Analytics Track of Decision Sciences Institute Conference 2018. Asil Oztekin has been selected as the “Faculty Honoree of 29 Who Shine” in May 2014 by the Governor and Department of Higher Education in Massachusetts. Oztekin received the Teaching Excellence Award in April 2014 and has been the Outstanding Recognized Researcher of the Manning School of Business awarded by the Vice Provost for Research of UMass Lowell in February 2014 and in March 2016. Additionally, he has been recognized on the Faculty Honors & Awards Wall of UMass Lowell in Summer 2016. Dr. Oztekin has received the Teradata University Network Faculty Scholarship Award in 2017 for his advising within the Analytics Challenge contest. He was also the recipient of the Alpha Pi Mu Outstanding Industrial Engineering & Management Research Assistant Award from Oklahoma State University in 2009.

Selected Awards and Honors

  • Editors’ Award for Excellence in Reviewing (2019), Service, Professional - European Journal of Operational Research
  • Chair of INFORMS Data Mining Section (2018)
  • INFORMS Data Mining Section, Vice Chair (Chair-Elect) (2017)
  • Recognized Researcher Awardee (2017) - Office of UMass Lowell Vice Chancellor for Research & Innovation
  • Teradata University Network Faculty Scholarship Awardee, Analytics Challenge Contest (2017)
  • Recognized Researcher Awardee (2016) - UMass Lowell Vice Provost for Research
  • UMass Lowell Honors & Awards Wall Honoree (2016) - Office of UMass Lowell Vice Chancellor for Research & Innovation
  • 29 Who Shine--the Most Influential Campus Mentor Honoree (2014) - Massachusetts Department of Higher Education
  • Listed in the Most Cited Articles Author List in Decision Support Systems journal (2014)
  • Recognized Researcher Awardee (2014) - UMass Lowell Vice Provost for Research
  • Teaching Excellence Award (2014) - University of Massachusetts Lowell
  • Participating Faculty Member of UMASS system-wide inter-campuses Biomedical Engineering & Biotechnology Program (2012) - University of Massachusetts
  • Hanel Storage Systems Honor Scholarship (2010) - Material Handling Education Foundation
  • Alpha Pi Mu Outstanding Researcher Award (2009) - Oklahoma State University, Industrial Engineering & Management

Selected Publications

  • Albashrawi, M., Kartal, H., Oztekin, A., Motiwalla, L.F. (2019). Self-Reported and Computer-Recorded Experience in Mobile Banking: a Multi-Phase Path Analytic Approach. Information Systems Frontiers.
  • Oztekin, A., Al-Ebbini, L., Sevkli, Z., Delen, D. (2018). A Decision Analytic Approach to Predicting Quality of Life for Lung Transplant Recipients: A Hybrid Genetic Algorithms-based Methodology. European Journal of Operational Research.
  • Oztekin, A., Delen, D., Sharda, R. (2018). Data Mining & Decision Analytics. Decision Sciences.
  • Turkyilmaz, A., Temizer, L., Oztekin, A. (2017). A Causal Analytic Approach to Student Satisfaction Index Modeling. Annals of Operations Research.
  • Chen, Y., Chen, Y., Oztekin, A. (2017). A hybrid data envelopment analysis approach to analyse college graduation rate at higher education institutions. INFOR: Information Systems and Operational Research, 55(3) 188–210.
  • Rouyendegh, B.D., Topuz, K., Dag, A., Oztekin, A. (2017). An AHP-IFT Integrated Model for Performance Evaluation of E-commerce Web Sites. Information Systems Frontiers.
  • Oztekin, A. (2017). Creating a marketing strategy in healthcare industry: a holistic data analytic approach. Annals of Operations Research, 1–22.
  • Dag, A., Oztekin, A., Yucel, A., Bulur, S., Megahed, F. (2017). Predicting heart transplantation outcomes through data analytics. Decision Support Systems, 94 42–52.
  • Topuz, K., Uner, H., Oztekin, A., Yildirim, M.B. (2017). Predicting pediatric clinic no-shows: a decision analytic framework using elastic net and Bayesian belief network. Annals of Operations Research, 1–21.
  • Albashrawi, M., Kartal, H., Oztekin, A., Motiwalla, L.F. (2017). The Impact of Subjective and Objective Experience on Mobile Banking Usage: An Analytical Approach. Proceedings of the 50th Hawaii International Conference on System Sciences (HICCS-50)
  • Oztekin, A., Kizilaslan, R., Freund, S., Iseri, A. (2016). A Data Analytic Approach to Forecasting Daily Stock Returns in an Emerging Market. European Journal of Operational Research, 253(3) 697–710.
  • Oztekin, A. (2016). A hybrid data analytic approach to predict college graduation status and its determinative factors. Industrial Management & Data Systems, 116(8) 1678–1699.
  • Dag, A., Topuz, K., Oztekin, A., Bulur, S., Megahed, F.M. (2016). A Probabilistic Data-Driven Framework for Scoring the Preoperative Recipient-Donor Heart Transplant Survival. Decision Support Systems, 86 1–12.
  • Kartal, H., Oztekin, A., Gunasekaran, A., Cebi, F. (2016). An Integrated Decision Analytic Framework of Machine Learning with Multi-Criteria Decision Making for Multi-Attribute Inventory Classification. Computers & Industrial Engineering.
  • Hindle, G., Kunc, M., Mortensen, M., Oztekin, A., Vidgen, R. (2016). Business Analytics: Defining the field and identifying a research agenda. European Journal of Operational Research.
  • Misiunas, N., Oztekin, A., Chen, Y., Chandra, K. (2016). DEANN: A healthcare analytic methodology of data envelopment analysis and artificial neural networks for the prediction of organ recipient functional status. Omega, 58 46 - 54.
  • AlEbbini, L., Oztekin, A., Chen, Y. (2016). FLAS: Fuzzy Lung Allocation System for US-based Transplantations. European Journal of Operational Research, 248(3) 1051–1065.
  • Oztekin, A. (2016). Information fusion-based meta-classification predictive modeling for ETF performance. Information Systems Frontiers.
  • Rouyendegh, B.D., Oztekin, A., Ekong, J., Dag, A. (2016). Measuring the efficiency of hospitals: a fully-ranking DEA–FAHP approach. Annals of Operations Research, 1–18.
  • Cimenler, O., Reeves, K., Skvoretz, J., Oztekin, A. (2015). A Causal Analytic Model to Evaluate the Impact of Researchers’ Individual Innovativeness on Their Collaborative Outputs. Journal of Modelling in Management, 11(2).
  • Yayla, A.Y., Oztekin, A., Gumus, A.T., Gunasekaran, A. (2015). A Hybrid Data Analytic Methodology for 3PL Transportation Provider Evaluation Using Fuzzy Multi-Criteria Decision Making. International Journal of Production Research, 53(20) 6097–6113.
  • Oztekin, A., Masterson, R. (2015). A Predictive Analytic Approach to Determine Construction Cost Estimates. International Journal of Operational Research.
  • Chen, V., Oztekin, A., Sundaramoorthi, ., Duraikannan, ., Kim, S. (2015). Data Mining & Analytics. Annals of Operations Research.
  • Misiunas, N., Raspopovic, M., Chandra, K., Oztekin, A. (2015). Sensitivity of Predictors in Educational Data: A Bayesian Network Model.
  • Oztekin, A., Delen, D., Zaim, H., Turkyilmaz, A., Zaim, S. (2015). The Influence of Knowledge Management on Financial and Non-Financial Performance. Journal of Information & Knowledge Management, 14(2) 1550013.
  • Oztekin, A., Best, K., Delen, D. (2014). Analyzing the Predictability of Exchange Traded Funds Characteristics in the Mutual Fund Market on the Flow of Shares Using a Data Mining Approach (pp. 779–788).
  • Sevim, C., Oztekin, A., Bali, O., Gumus, S., Guresen, E. (2014). Developing an Early Warning System to Predict Currency Crises. European Journal of Operational Research, 237(3) 1095–1104.
  • Delen, D., Oztekin, A. (2014). Introduction to Data, Text, and Web Mining for Managerial Decision Support Minitrack (pp. 768–768).
  • Cimenler, O., Oztekin, A., Reeves, K., Kasti, M. (2014). Testing a Multisource Feedback Instrument in Healthcare Organizations. International Journal of Decision Sciences, 5(1) 1–22.
  • Oztekin, A., Riaz Khan, M. (2014). A business-analytic approach to identify critical factors in quantitative disciplines. Journal of Computer Information Systems, 54(4) 60-70.
  • Oztekin, A., Delen, D., Turkyilmaz, A., Zaim, S. (2013). A Machine Learning-based Usability Evaluation Method for eLearning Systems. Decision Support Systems, 56 63–73.
  • Oztekin, A., Iseri, A., Zaim, S., Nikov, A. (2013). A Taguchi-based Kansei Engineering Study of Mobile Phones at Product Design Stage. Production Planning & Control, 24(6) 465–474.
  • Delen, D., Oztekin, A., Demirkan, H. (2013). Introduction to Predictive Analytics and Big Data Minitrack (pp. 1268–1268).
  • Turkyilmaz, A., Oztekin, A., Zaim, S., Demirel, O.F. (2013). Universal Structure Modeling Approach to Customer Satisfaction Index. Industrial Management & Data Systems, 113(7).
  • Delen, D., Oztekin, A., Tomak, L. (2012). An Analytic Approach to Better Understanding and Management of Coronary Surgeries. Decision Support Systems, 52(3) 698–705.
  • Oztekin, A. (2012). An Analytical Approach to Predict the Performance of Thoracic Transplantations. JCC: The Business and Economics Research Journal, 5(2) 185–206.
  • Sevkli, M., Oztekin, A., Uysal, O., Torlak, G., Turkyilmaz, A., Delen, D. (2012). Development of a Fuzzy ANP-based SWOT Analysis for the Airline Industry in Turkey. Expert Systems with Applications, 39(1) 14–24.
  • Delen, D., Oztekin, A., Kolkiran, A. (2012). Intelligent Computational Techniques in Science, Engineering, and Business. Expert Systems with Applications, 39(1) 1–2.
  • Oztekin, A. (2011). A Decision Support System for Usability Evaluation of Web-based Information Systems. Expert Systems with Applications, 38(3) 2110–2118.
  • Oztekin, A., Kong, Z.J., Delen, D. (2011). Development of a Structural Equation Modeling-based Decision Tree Methodology for the Analysis of Lung Transplantations. Decision Support Systems, 51(1) 155–166.
  • Delen, D., Oztekin, A., Kong, Z.J. (2010). A Machine Learning-based Approach to Prognostic Analysis of Thoracic Transplantations. Artificial Intelligence in Medicine, 49(1) 33–42.
  • Oztekin, A., Pajouh, F.M., Delen, D., Swim, L.K. (2010). An RFID Network Design Methodology for Asset Tracking in Healthcare. Decision Support Systems, 49(1) 100–109.
  • Oztekin, A., Mahdavi, F., Erande, K., Kong, Z., Swim, L.K., Bukkapatnam, S.T. (2010). Criticality Index Analysis-based Optimal RFID Reader Placement Models for Asset Tracking. International Journal of Production Research, 48(9) 2679–2698.
  • Oztekin, A. (2010). Data mining-based Survival Analysis and Simulation Modeling for Lung Transplant. Oklahoma State University
  • Kong, Z., Oztekin, A., Beyca, O.F., Phatak, U., Bukkapatnam, S., Komanduri, R. (2010). Process Performance Prediction for Chemical Mechanical Planarization (CMP) by Integration of Nonlinear Bayesian Analysis and Statistical Modeling. IEEE Transactions on Semiconductor Manufacturing, 23(2) 316–327.
  • Oztekin, A., Kong, Z.J., Uysal, O. (2010). UseLearn: A Novel Checklist and Usability Evaluation Method for eLearning Systems by Criticality Metric Analysis. International Journal of Industrial Ergonomics, 40(4) 455–469.
  • Oztekin, A., Delen, D., Kong, Z.J. (2009). Predicting the Graft Survival for Heart–Lung Transplantation Patients: An Integrated Data Mining Methodology. International Journal of Medical Informatics, 78(12) e84–e96.
  • Oztekin, A., Nikov, A., Zaim, S. (2009). UWIS: An Assessment Methodology for Usability of Web-based Information Systems. Journal of Systems and Software, 82(12) 2038–2050.
  • Kong, Z., Huang, W., Oztekin, A. (2009). Variation Propagation Analysis for Multistation Assembly Process with Consideration of GD&T Factors. Journal of manufacturing science and engineering, 131(5) 051010.
  • Oztekin, A., Nikov, A., Zaim, S., Guner, A.R. (2006). Measuring the Usability of Web-Based Services Exemplified by University Student Information System. Integration, 19(Q21) Q22.
  • Nikov, A., Zaim, S., Oztekin, A. (2006). Usability evaluation of web services by structural equation modeling. CMAIA2006, 25–26.

Selected Presentations

  • Predicting Patient No-shows via a Hybrid Business Analytics Methodology - 2019 INFORMS Annual Meeting, October 2019 - Seattle, WA
  • Predicting Patient No-Shows via a Hybrid Business Analytics Methodology - Decision Sciences Institute Annual Conference, November 2018 - Chicago, IL
  • Predicting Patient No-Shows via a Hybrid Business Analytics Methodology - INFORMS 13th Data Mining & Decision Analytics Workshop, November 2018 - Phoenix, AZ
  • A Holistic Data Analytic Approach to Determine Impacts of the Caregiver Advise, Record, Enable (CARE) Act on Reducing Readmission and Mortality Rates among Older Adults - INFORMS Annual Meeting, November 2018 - Phoenix, AZ

Selected Contracts, Fellowships, Grants and Sponsored Research

  • A Holistic Data Analytic Modeling of Health Outcomes for Different Vulnerable Risk Groups (2018), Grant - IDEA Leadership Fund
    Oztekin, A. (Principal), Knight, M. (Co-Principal), Evans, K. (Supporting), Summerfield, N. (Supporting), Lee, S. (Supporting), Ackerson, L.K. (Supporting),
  • The CARE Act: Processes Affecting the Community/Caregiver Perspective of Caring for Older Adults (2018), Grant - Manning School of Business and the Zuckerberg College of Health Sciences
    Kronrod, A. (Supporting), Knight, M. (Principal), Evans, K. (Co-Principal), Summerfield, N. (Co-Principal), Abdallah, L.M. (Co-Principal), Oztekin, A. (Supporting)
  • Improving Organ Transplantation with Advanced Analytics (2012), Sponsored Research - Advancing Research, Scholarship, and Creative Work Seed Grants, Funded
    Oztekin, A.