Penina Orenstein, Ph.D.
Associate Professor
Department of Computing and Decision Sciences
(973) 761-9535
Email
Jubilee Hall
Room 682
Penina Orenstein, Ph.D.
Associate Professor
Department of Computing and Decision Sciences
Hired in 2006, Dr. Orenstein is an Associate Professor in the Department of Computing and Decision Sciences at Seton Hall’s Stillman School of Business, and the Academic Director for the Master’s Program in Business Analytics. Dr Orenstein teaches both undergraduate and graduate courses, Quantitative Methods for Business, Management Science and Supply Chain Management.
Dr. Orenstein has introduced an undergraduate certificate in Supply Chain Management and has been responsible for the creation and deployment of a new concentration in Supply Chain Management at the MBA level. Her research focus is on the topological structure of supply networks. Her research has appeared in the Journal of Networks and Spatial Economics and in the Journal of Information Systems and Operations Research (INFOR). She has also presented her work at various conferences including POMS, INFORMS, MSOM and the SCMA.
In 2016, her research idea on the topological structure of supply networks attracted international attention by winning the 2016 Best Paper Award at SCMA 2016. In 2018, she won the University Research Council award for her work on digital mapping of supply chain networks. In 2021 she was awarded the University’s Opportunity Meets Innovation Challenge Grant Award for a joint research project on the impact of COVID-19 on the financial performance of supply chain networks.
Education
- Ph.D., Middlesex University
- BSc. Mathematics and Computer Science, King's College London University, 1992
Scholarship
- ORENSTEIN, P. and TANG, H. (2021). Identifying the relation between a supply chain network’s structure and its overall financial performance. Operations and Supply Chain Management: An International Journal, 14(4), 399-409.
- ORENSTEIN, P. (2021). The changing landscape of supply chain networks: an empirical analysis of topological structure. INFOR: Information Systems and Operations Research, 59(1), 53-73. https://www.tandfonline.com/doi/full/10.1080/03155986.2020.1785263.
- ORENSTEIN, P., WEEKS, C. (2019). A digital mapping paradigm to identify supply chain network structure and evolution. International Journal of Operations and Quantitative Management, 25(3).
- ORENSTEIN P, LADIK D and RAINFORD S (2016), What are the key drivers of future Supply Chains? Journal of Accounting, Business and Management (JABM), Vol 23(1), April 2016.
- ORENSTEIN P and SHIM E, Supply Networks: An Empirical Analysis of Topological structure, Winner of Best Paper Award at International SCMA Symposium, Niagara Falls, June 14th-16th, 2016.
Accomplishments
Awards and Grants
- University Research Council Award 2018-2019,"Using a data visualization approach to establish a conceptual framework for supply chain network structure, evolution and performance."
- Digital Scholar Award 2017, 2018
- Winner of the Best Paper Award at International SCMA Conference, June 2016
- Stillman School Research awards: 2007-2010
- Stillman School Teaching award: 2009
- Summer research grants, 2006, 2007
- International Business Institute Award, Stillman School of Business, Seton Hall University, 2009
- TLTC Online Course Development Grant 2010
- University Research Council Award, 2010
- FIG Grant, 2011