In the Media
Elif Kongar, professor of economics and business analytics, says many factories that closed during the pandemic have yet to reopen, even though the demand for products has surged.
Elif Kongar, Ph.D.
Economics & Business Analytics Department
Pompea College of Business
Education
Ph.D., Industrial Engineering, Northeastern University
M.S., Industrial Engineering, Yildiz Technical University, Istanbul, Turkey
B.S., Industrial Engineering, Yildiz Technical University, Istanbul, Turkey
About Elif
An expert in industrial engineering and engineering education, Dr. Kongar鈥檚 research focuses on reverse supply chain management, reverse logistics systems, and economically and environmentally sustainable waste recovery systems and operations. She is a co-author of 鈥淩esponsible Manufacturing: Issues Pertaining to Sustainability鈥 as well as 鈥淣utrition at the Crossroads: Food at the Intersection of Environmental, Economic, and Social Sustainability.鈥
She also studies female participation in engineering disciplines and K-12 STEM education.
Prior to joining the University of New Haven in 2022, Dr. Kongar served as served as associate dean of graduate studies at Fairfield University. Prior to that, she was chair of the Department of Technology Management in the School of Engineering at the University of Bridgeport.
She also previously served as a visiting scholar with the Center for Industrial Ecology in the Yale鈥檚 School of Forestry and Environmental Studies and taught at Yildiz Technical University in Istanbul, Turkey.
Dr. Kongar serves as department editor of the Institute of Electrical and Electronics Engineers鈥 peer-reviewed journal Transactions on Engineering Management. She is a member of IEEE鈥檚 Professional and Educational Activities Committee that is part of the organization鈥檚 Technology and Engineering Management Society. She is also a member of the Society of Women Engineers and the Logistics Association.
See MorePublished Works
Brem, A., Kongar, E., Eckert, C., Santiago, L.P., and Daim, T.U., 鈥淓ditorial: Publishing in Peer-Reviewed Journals,鈥 in IEEE Transactions on Engineering Management, vol. 68, no. 1, pp. 5-10, Feb. 2021, doi: 10.1109/TEM.2020.3006327.
Zel, S., Kongar, E., 鈥淓ngaging Learners in Synchronous Online Training Using Facial Expression Analysis Technology鈥, IEEE Engineering Management Review, Manuscript ID: EMR-20-0227.R1, Accepted for publication on January 25, 2021.
Singh, J.G., Kongar, E., 鈥淰alue Creation via Accelerated Digital Transformation鈥, IEEE Engineering Management Review鈥, Manuscript ID: EMR-21-0010, Accepted for publication on January 15, 2021.
Adebayo, O., Kongar, E., 鈥淚mpact of Social Media Marketing on Business Performance: A Hybrid Performance Measurement Approach Using Data Analytics and Machine Learning鈥, Manuscript ID: EMR-21-0002, IEEE Engineering Management Review, Accepted for publication on Jan. 3, 2021.
Zel, S., and Kongar, E., 鈥淚nfluential Factors in Design And Implementation Of Virtual Reality Technology鈥, International Journal of Science and Technology, 6(3), 72-86. https://doi.org/10.20319/mijst.2020.63.7286, 2020.
B眉y眉k枚zkan, G., Mukul, E., Kongar, E., 鈥淗ealth tourism strategy selection via SWOT analysis and integrated hesitant fuzzy linguistic AHP-MABAC approach鈥, Socio-Economic Planning Sciences, Accepted: 7/31/2020, Submission #: SEPS_2020_391_R1.
Tozanli, O., Kongar E., Gupta S.M., 鈥淓valuation of Waste Electronic Product Trade-in Strategies in Predictive Twin Disassembly Systems in the era of Blockchain鈥, Sustainability, Manuscript ID: sustainability-846479, Published: July 4, 2020.
Duman, G. M., Kongar, E. and Gupta, S. M., 鈥淧redictive Analysis of Electronic Waste For Reverse Logistics Operations: A Comparison of Improved Univariate Grey Models鈥, Soft Computing, SOCO-D-19-01926R2, Accepted, March 2020, Published: April 2020.
Vo, B. and Kongar, E., Su谩rez Barraza, M.F., 鈥淩oot-Cause Problem Solving in an Industry 4.0 Context鈥, IEEE Engineering Management Review, pp. 1-9, Print ISSN: 0360-8581, Online ISSN: 1937-4178 Digital Object Identifier: 10.1109/EMR.2020.2966980, January 2020.
Tozanli, O., Kongar, E. and Gupta, S. M., 鈥淭rade-in-to-Upgrade as a Marketing Strategy in Disassembly-to-Order Systems at the Edge of Blockchain Technology鈥, International Journal of Production Research, Vol. 58, No. 23, 7183-7200, 2020.
Duman, G. M., Kongar, E. and Gupta, S. M., 鈥淓stimation of electronic waste using optimized multivariate grey models鈥, Waste Management, Volume 95, Pages 241-249, 2019.
Alshibli, M., ElSayed, A., Kongar, E., Sobh, T., Gupta, S.M., 鈥淩obust Robotic Disassembly Sequence Design Using Orthogonal Arrays and Task Allocation鈥, Robotics, 8(1), 20, 2019.
Duman, G. M., El Sayed, A., Kongar, E. and Gupta, S. M., 鈥淎n Intelligent Multi-Attribute Group Decision Making Approach with Preference Elicitation for Performance Evaluation鈥, IEEE Transactions on Engineering Management, TEM-18-0629, Accepted (19-Feb-2019).
Vo, B. and Kongar, E., Su谩rez Barraza, M.F., 鈥淜aizen Event Approach: A Case Study In Packaging Industry鈥, International Journal of Productivity and Performance Management (IJPPM), Manuscript ID IJPPM-07-2018-0257, Accepted 12-Feb-2019, Published June 2019.
ElSayed, A., Kongar, E., Mahmood, A., Sobh, T., and Boult, T., Neural Generative Models for 3D Faces with Application in 3D Texture Free Face Recognition, https://arxiv.org/pdf/1811.04358.pdf, 2018.
Duman, G.M., Taskaynatan, M., Kongar, E., Rosentrater, K.A., 鈥淚ntegrating Environmental and Social Sustainability into Performance Evaluation: A Balanced Scorecard-Based Grey-DANP Approach for the Food Industry鈥, Frontiers in Nutrition, Vol. 5, DOI 10.3389/fnut.2018.00065, 2018.
Ahmed El Sayed, Kongar, E., A., Mahmood, A., and Sobh, T, 鈥淯nsupervised Face Recognition in the Wild using High Dimensional Features under Super Resolution and 3D Alignment Effect鈥, Signal, Image and Video Processing, May 2018.
Alshibli, M., El Sayed, A., Tozanli, O., Kongar, E./, Sobh, T. and Gupta, S.M., 鈥淎 Decision Maker-Centered End-of-Life Product Recovery System for Robot Task Sequencing鈥, Journal of Intelligent and Robotic Systems, pp 1鈥14, November, 2017.
Tozanli, O, Duman, G.M., Kongar, E., and Gupta, S. M., 鈥淓nvironmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey鈥, Logistics, 1(1), 4; 2017.
Duman, G. M., Tozanli, O., Kongar, E. and Gupta, S. M., 鈥淎 Holistic Approach for Performance Evaluation Using Quantitative and Qualitative Data: A Food Industry Case Study鈥, Expert Systems with Applications, Vol. 81, No. 1, 410-422, 2017.
Academic Papers in Conference Proceedings
Shrivastav, H., Kongar, E. , 鈥淚nformation Overload in Organization: Impact on Decision Making and Influencing Strategies鈥, Session: NA3: Engineering Management I, 2021 IEEE Technology & Engineering Management Conference (TEMSCON) 鈥 Europe, Innovation Networks, Entrepreneurship, Information Technology And Artificial Intelligence, Virtual Conference, 17th -21st May 2021.
Famodimu, E., Kongar, E. , 鈥淭he Role of Robotic Process Automation on Business Transformation鈥, Presentation-Full Paper, Track: Cyber Security, IT, and Emerging Technologies, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Adebayo, O., Kongar, E. , 鈥淯sing Artificial Intelligence to Guide SME Social Media Marketing Strategy鈥, Presentation-Abstract, Track: Big Data, Analytics, and Knowledge Management, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Duman, G.M., Kongar, E. , and Gupta, S.M., 鈥淥ptimized Support Vector Machine in Multi-Class Text Classification鈥, Presentation-Abstract, Track: DSS, Machine Learning, and Artificial Intelligence, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Famodimu, E., Kongar, E. , 鈥淟eadership in the Implementation of ERP Systems: A Case Study of a Global Pharmaceutical Organization ERP migration to the Cloud鈥, Presentation-Full Paper, Track: Cyber Security, IT, and Emerging Technologies, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Singh, J.G., Kongar, E. , 鈥淥nline consumer purchase decisions in the age of automation and artificial intelligence鈥, Presentation-Full Paper, Track: Human-Technology Interface, 2021 Northeast Decision Sciences Institute Annual Conference, Virtual, March 26-27, 2021.
Zel, S., Kongar, E. , 鈥淭ransforming Digital Employee Experience with Artificial Intelligence鈥, The IEEE / ITU International Conference on Artificial Intelligence for Good (AI4G 2020), Virtual, September 21-25, 2020.
Zel, S. Kongar, E. , 鈥淪uccess Factors in Design And Implementation of Virtual Reality Technology鈥, 2nd ICSTR Istanbul 鈥 International Conference on Science & Technology Research, 08-09 October 2020.
Adebayo, O., Kongar, E. , Tozanli, O, Sarkis, J., 鈥淩etail Social Media Usage and Ramification to Business Performance: A Comparative Analytical Study鈥, 2020 POMS Annual Conference, Minneapolis, MN, April 23-27, 2020.
Duman, G.M., Kongar, E. , Gupta, S.M., 鈥淎 Comparison of Machine Learning Methods in Multi-Class Text Classification鈥, NEDSI 2020, Cambridge, MA, March 26-28, 2020, (Submitted: December 14, 2019).
Duman, G.M., Kongar, E. , Abstract (093-1332), 鈥淓stimation of electronic Waste to Improve Reverse Logistics Operations: A Comparison of Optimized Grey Models鈥, 2019 POMS Annual Conference, May 3 - 6, Washington, D.C., U.S.A, 2019.
Book Chapters
Tozanli, O., Kongar, E. , and Gupta, S.M., 鈥淪upplier Selection Model for End-of- Life Product Recovery: An Industry 4.0 Perspective鈥, Chapter 14, Responsible Manufacturing: Issues Pertaining to Sustainability, Alqahtani, A.Y., Kongar, E., Pochampally, K.K., Gupta, S.M., CRC Press, February 25, 2019, ISBN 9780815375074.
Duman, G.M., Kongar, E. , and Gupta, S.M., A Holistic Grey-MCDM Approach for Green Supplier Elicitation in Responsible Manufacturing, Chapter 5, Responsible Manufacturing: Issues Pertaining to Sustainability, Alqahtani, A.Y., Kongar, E. , Pochampally, K.K., Gupta, S.M., CRC Press, February 25, 2019, ISBN 9780815375074.
Tozanli, O., and Kongar, E. , 鈥淚ntegration of Industry 4.0 Principles into Reverse Logistics Operations for Improved Value Creation: A Case Study of a Mattress Recycling Company,鈥 Enterprise and Business Management - Industry 4.0, Accepted for Publication, 2018.
ElSayed, A., Duman, G. M., Tozanli, O., and Kongar, E. , 鈥淐omputer Vision Application for Environmentally Conscious Smart Painting Truck鈥, Auer M., Zutin D. (eds) Online Engineering & Internet of Things. Lecture Notes in Networks and Systems, vol 22. Springer, Cham, 510-516, 2018.
ElSayed, A., Kongar, E. , Gupta, S.M., and Sobh, T., 鈥淎 Genetic Algorithm Approach to End-of-life Disassembly Sequencing for Robotic Disassembly鈥, Chapter 15, Prototyping of Robotic Systems: Applications of Design and Implementation, Xiong, X. and Sobh, T., Eds., IGI Global, Hershey, PA, 2011.
Rosentrater, K., and Kongar, E. , 鈥淢odeling the Addition of a Pelleting Operation at a Fuel Ethanol Plant and Examining the Effects on the Transportation and Logistics of DDGS鈥, Encyclopedia of Energy Engineering and Technology, Sohail Anwar, Ed., Taylor & Francis Group, New York, NY, 2011.
Kongar, E. and Gupta, S. M., 鈥淎 Data Envelopment Analysis Approach for Household Appliances and Automobile Recycling鈥, Book chapter, Web-Based Green Products Life Cycle Management Systems: Reverse Supply Chain Utilization, Editor(s): Prof. Hsiao-Fan Wang, 2008.
Kongar, E. and Gupta, S. M., 鈥淭he Promise of the Real-Time Supply Chain鈥, The Handbook of Technology Management, 3 Volume Set, Hossein Bidgoli, Editor-in-Chief, Copyright 漏 John Wiley & Sons, Inc., 2009, Hoboken, N.J, 07030.
Kongar, E. and Gupta, S. M., 鈥淓nd-of-Life Processing via Data Envelopment Analysis鈥, in Research Methodology on Data Envelopment Analysis (DEA), Edited by Jibendu Kumar Mantri, Universal Publishers, Boca Raton, Florida, pp. 197-215, Chapter 12, ISBN: 978-1-59942-950-2, 2008.
Kongar, E. and Gupta, S. M., 鈥淢ulti-Objective Optimization of Lot Size Balancing for Multi Products Selective Disassembly,鈥 Multiple Criteria Decision Making in the New Millennium, Edited by Murat Koksalan and Stanley Zionts, Springer-Verlag, Lecture Notes in Economics and Mathematical Systems, Vol. 507, Berlin, Germany, pp. 338-347, ISBN: 3-540-42377-X, 2001.