Nada Sanders

Nada R. Sanders
Academic background
EducationFranklin University
Ohio State University
ThesisForecasting short term demand in the physical distribution environment (1986)
Larry P. Ritzman
Academic work
InstitutionsWright State University
Texas Christian University
Lehigh University
Northeastern University

Nada Rankovic Sanders is an American university professor specializing in forecasting and supply-chain management. She is the Distinguished Professor of Supply Chain Management at the D’Amore-McKim School of Business at Northeastern University. She is also a research scholar, academic editor, reference book author, keynote speaker, business consultant, and corporate board member. Her forecasts describing the impact of the economic crisis on supply disruptions resulting from the COVID-19 pandemic received media coverage. Her latest book The Humachine, as well as her 2023 article published in HBR (both co-authored with John D. Wood) explore the influence of artificial intelligence over world business, culture and skills.

Early life and education

Sanders was born in Kraljevo in the former Yugoslavia. She studied mechanical engineering at Franklin University, where she received a BS in Engineering Technology in 1978. She went on to study at Ohio State University in Columbus, Ohio, where she received an MBA in 1981 from the Fisher College of Business and a PhD in operations management and logistics at the same place under the supervision of Larry Ritzman.

Career

Sanders joined Wright State University after graduation, where she progressed from assistant professor to professor. Later, she has successively been the West Chair at the Neely School of Business at Texas Christian University (2007–2009), Iacocca Chair of Supply Chain Management at Lehigh University (2009–2014), and Distinguished Professor of Supply Chain Management at the D’Amore-McKim School of Business at Northeastern University (2014 to present).

Her research has centered on topics such as forecasting methods, management technologies, and resilience of supply chains, her works being commonly cited by subject reviews, and referred as reading in university courses covering these matters. Her research is cited in current Wikipedia entries on forecasting, global value chain, electronic business, logistics, operations management procurement, supply chain, and supply chain management.

In 1996, Sanders was ranked among major contributors to the field of production and operations management in the US in preceding years, according to a study from the David Eccles School of Business, University of Utah. She has been a keynote speaker at conferences in her specialties.

As an institutional executive, she has served as a president of the Production and Operations Management Society (POMS, 2019), a Fellow and vice-president of Decision Sciences Institute, a member of the Board of Economic Advisors of the Association of Industries of Massachusetts (AIM), and a member of the Board of Consultants of the International Institute of Forecasters (IIF).

As an editor, Sanders is a member of the editorial boards of several academic journals, among them the Journal of Business Logistics, the Journal of Supply Chain Management, and Production and Operations Management. She has also been a co-editor of several special journal issues, including "Big Data Driven Supply Chain Management" (Production and Operations Management, 2017), "Big Data Driven Forecasting in Supply Chain Management" (International Journal of Forecasting, 2017), "Perspectives on Big Data" (Operations Management, 2018), "Sustainable Supply Chains in a Digital Interconnected World," (Journal of Business Logistics, 2019), and "Using Interdisciplinary Research to Address Contemporary SCM Problems" (Journal of Business Logistics, 2016).

Selected works

Papers

Sanders has published over 120 articles in peer-reviewed academic journals which have been cited over 6,400 times; her most cited papers are:

  • Sanders, Nada R.; Premus, Robert (March 1, 2005). "Modeling the Relationship Between Firm It Capability, Collaboration, and Performance". Journal of Business Logistics. 26 (1): 1–23. doi:10.1002/j.2158-1592.2005.tb00192.x. Cited by 572 Related articles (Oct 2021).
  • Sanders, Nada R. (November 1, 2007). "An empirical study of the impact of e-business technologies on organizational collaboration and performance". Journal of Operations Management. 25 (6): 1332–1347. doi:10.1016/j.jom.2007.01.008. Cited by 536 Related articles (Oct 2021).
  • Sanders, Nada R. (May 1, 2008). "Pattern of information technology use: The impact on buyer-suppler coordination and performance". Journal of Operations Management. 26 (3): 349–367. doi:10.1016/j.jom.2007.07.003. Cited by 365 Related articles (Oct 2021).

Her most recent articles refer to the impact of Artificial intelligence on business and supply chains:

Books

  • Sanders, Nada R. (2014). Big data driven supply chain management : a framework for implementing analytics and turning information into intelligence. Upper Saddle River, New Jersey. ISBN 978-0-13-380128-6. OCLC 884488830.{{cite book}}: CS1 maint: location missing publisher (link)
  • Sanders, Nada R. (2014). The definitive guide to manufacturing and service operations : master the strategies and tactics for planning, organizing, and managing how products and services are produced. Council of Supply Chain Management Professionals. Upper Saddle River, N.J.: Pearson Education. ISBN 978-0-13-343865-9. OCLC 869214320.
  • Sanders, Nada (2015). Forecasting Fundamentals. New York: Business Expert Press. ISBN 978-1-60649-871-2. OCLC 963785275.
  • Sanders, Nada R. (2018). Supply chain management : a global perspective (Second ed.). Hoboken, NJ. ISBN 978-1-119-39219-4. OCLC 992120081.{{cite book}}: CS1 maint: location missing publisher (link)
  • Reid, R. Dan (2019). Operations management : an integrated approach. Nada R. Sanders (Seventh ed.). Hoboken, NJ. ISBN 978-1-119-49733-2. OCLC 1119125081.{{cite book}}: CS1 maint: location missing publisher (link)
  • Sanders, Nada R. (2020). Foundations of sustainable business : theory, function, and strategy. John D. Wood (Second ed.). Hoboken, NJ. ISBN 978-1-119-57755-3. OCLC 1124775883.{{cite book}}: CS1 maint: location missing publisher (link)
  • Sanders, Nada R. (2020). The humachine : humankind, machines, and the future of enterprise. John D. Wood (First ed.). New York, NY. ISBN 978-0-429-00117-8. OCLC 1119391268.{{cite book}}: CS1 maint: location missing publisher (link). Favorably reviewed by Garth Thomas.

Honors

References

  1. 1 2 3 Sanders, Nada Rankovic. "Forecasting short term demand in the physical distribution environment". Ohio State University.
  2. 1 2 3 "Nada Sanders". D'Amore-McKim School of Business. Retrieved September 29, 2021.
  3. 1 2 "Nada R. Sanders, Ph.D. – NESCON 2019". Retrieved October 4, 2021.
  4. ↑ Vaccaro, Adam (December 18, 2020). "'The system is just overwhelmed': Post office struggles with holiday deluge – The Boston Globe". BostonGlobe.com. Retrieved October 3, 2021.
  5. ↑ Irwin, Neil (April 9, 2021). "How America's Great Economic Challenge Suddenly Turned 180 Degrees". The New York Times. ISSN 0362-4331. Retrieved October 3, 2021.
  6. ↑ "U.S. stocks tumble, a 'coronavirus downturn' is coming: Economists". Boston Herald. February 25, 2020. Retrieved October 3, 2021.
  7. ↑ "Jason Hillenburg's review of The Humachine". www.goodreads.com. Retrieved October 10, 2021.
  8. 1 2 Thomas, Garth (October 10, 2019). "Nada Sanders and John Wood "The Humachine"". The Hollywood Digest. Retrieved October 3, 2021.
  9. ↑ Sanders, Nada R.; Wood, John D. (November 3, 2023). "The Skills Your Employees Need to Work Effectively with AI". Harvard Business Review. ISSN 0017-8012. Retrieved December 21, 2023.
  10. ↑ "PhD Alumni | Fisher College of Business". Operations & Business Analytics | Fisher College of Business. Retrieved September 30, 2021.
  11. ↑ Sanders, Nada R.; Ritzman, Larry P. (1989). "Some Empirical Findings on Short‐Term Forecasting: Technique Complexity and Combinations". Decision Sciences. 20 (3): 635–640. doi:10.1111/j.1540-5915.1989.tb01572.x. ISSN 0011-7315.
  12. 1 2 3 4 5 "Nada R. Sanders". scholar.google.com. Retrieved October 3, 2021.
  13. ↑ Lawrence, Michael; Goodwin, Paul; O'Connor, Marcus; Önkal, Dilek (2006). "Judgmental forecasting: A review of progress over the last 25years". International Journal of Forecasting. 22 (3): 493–518. doi:10.1016/j.ijforecast.2006.03.007. hdl:11693/11578.
  14. ↑ Prajogo, Daniel; Olhager, Jan (2012). "Supply chain integration and performance: The effects of long-term relationships, information technology and sharing, and logistics integration". International Journal of Production Economics. 135 (1): 514–522. doi:10.1016/j.ijpe.2011.09.001.
  15. ↑ Kim, Yusoon; Chen, Yi-Su; Linderman, Kevin (2015). "Supply network disruption and resilience: A network structural perspective". Journal of Operations Management. 33–34 (1): 43–59. doi:10.1016/j.jom.2014.10.006. hdl:2027.42/146874.
  16. ↑ "Supply Chain Management Course Descriptions | CSUDH CEIE | Carson, CA". z-CEIE-03-Tertiary. Retrieved October 4, 2021.
  17. ↑ Aigbedo, Henry (2018). "Supply Chain Management (POM 4420)" (PDF).
  18. ↑ Porterfield, Diane. "LibGuides: Certificate & Diploma Programs at Central Penn College: Organizational Change Management Certificate". guides.centralpenn.edu. Retrieved October 4, 2021.
  19. ↑ Young, Scott T.; Baird, Brad C.; Pullman, Madeleine E. (1996). "POM research productivity in U.S. business schools". Journal of Operations Management. 14 (1): 41–53. doi:10.1016/0272-6963(95)00038-0.
  20. ↑ "Nada R. Sanders, Ph.D. – NESCON 2019". Retrieved October 3, 2021.
  21. ↑ "POM-2006 Conference" (PDF). 2006.
  22. ↑ "41st International Symposium on Forecasting, 27–30 June 2021". Timberlake Consultants. March 1, 2021. Retrieved October 3, 2021.
  23. ↑ "PLMA Virtual Conference". HAPPI. Retrieved October 3, 2021.
  24. ↑ "Nada R. Sanders 2019 POMS President" (PDF). poms.org.
  25. ↑ "DSI Officers" (PDF). decisionsciences.org.
  26. ↑ "AIM Adds Two Experts to Board of Economic Advisors". AIM. January 29, 2021. Retrieved October 5, 2021.
  27. ↑ "Consultants – International Institute of Forecasters". 2012. Retrieved October 5, 2021.
  28. ↑ "Journal of Business Logistics". Wiley Online Library. doi:10.1002/(ISSN)2158-1592. ISSN 2158-1592. Retrieved October 1, 2021.
  29. ↑ "Journal of Supply Chain Management". Wiley Online Library. doi:10.1111/(ISSN)1745-493X. ISSN 1745-493X. Retrieved October 1, 2021.
  30. ↑ "Editorial Board". Production and Operations Management. 25 (1): 7–8. 2016. doi:10.1111/poms.12439. ISSN 1937-5956.
  31. ↑ Sanders, Nada R.; Ganeshan, Ram (February 1, 2015). "Call for Papers: Special Issue of Production and Operations Management on Big Data in Supply Chain Management". Production and Operations Management. 24 (2): 354–355. doi:10.1111/poms.12340.
  32. ↑ "International Journal of Forecasting | Special Section: Supply Chain Forecasting | ScienceDirect.com by Elsevier". www.sciencedirect.com. Retrieved October 1, 2021.
  33. ↑ "Issue Information". Production and Operations Management. 27 (9): 1631–1638. 2018. doi:10.1111/poms.12771. ISSN 1937-5956. S2CID 240247449.
  34. ↑ Sanders, Nada R.; Boone, Tonya; Ganeshan, Ram; Wood, John D. (September 1, 2019). "Sustainable Supply Chains in the Age of AI and Digitization: Research Challenges and Opportunities". Journal of Business Logistics. 40 (3): 229–240. doi:10.1111/jbl.12224. ISSN 0735-3766. S2CID 203336486.
  35. ↑ "Issue Information". Journal of Business Logistics. 37 (2): 77–79. June 1, 2016. doi:10.1111/jbl.12098.
  36. ↑ "Fellows – Decision Sciences Institute". Retrieved September 29, 2021.
  37. ↑ "Chairs and Professorships". catalog.tcu.edu. Retrieved October 2, 2021.
  38. ↑ "Carl & Ingeborg Beidleman Research Award in Business & Economics | University Awards". awards.web.lehigh.edu. Retrieved October 1, 2021.
  39. ↑ "Faculty Endowed Chairs 2013–2014" (PDF). lehigh.edu.