Nada Sanders Explained
Nada R. 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.[1] She is also a research scholar, academic editor, reference book author, keynote speaker, business consultant, and corporate board member.[2] Her forecasts describing the impact of the economic crisis on supply disruptions resulting from the COVID-19 pandemic received media coverage.[3] [4] [5] 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.[6] [7]
Education
Sanders' university degrees include PhD in operations management and logistics from the Fisher College of Business, Ohio State University, also an MBA and a BS in mechanical engineering.[8]
Career
Sanders 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,[9] [10] [11] and referred as reading in university courses covering these matters.[12] [13] [14] 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.[15] She has been a keynote speaker at conferences in her specialties-[16] [17] [18] [19]
As an institutional executive, she has served as a President of the Production and Operations Management Society (POMS, 2019),[20] a Fellow and vice-president of Decision Sciences Institute,[21] a member of the Board of Economic Advisors of the Association of Industries of Massachusetts (AIM),[22] and a member of the Board of Consultants of the International Institute of Forecasters (IIF).[23]
As an editor, Sanders is a member of the editorial boards of several academic journals, among them the Journal of Business Logistics,[24] the Journal of Supply Chain Management,[25] and Production and Operations Management.[26] She has also been a co-editor of several special journal issues, including "Big Data Driven Supply Chain Management" (Production and Operations Management, 2017),[27] "Big Data Driven Forecasting in Supply Chain Management" (International Journal of Forecasting, 2017),[28] "Perspectives on Big Data" (Operations Management, 2018),[29] "Sustainable Supply Chains in a Digital Interconnected World," (Journal of Business Logistics, 2019),[30] and "Using Interdisciplinary Research to Address Contemporary SCM Problems" (Journal of Business Logistics, 2016).[31]
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:
Her most recent articles refer to the impact of Artificial intelligence on business and supply chains:
Books
- Book: Sanders, Nada R.. Big data driven supply chain management : a framework for implementing analytics and turning information into intelligence. 2014. 978-0-13-380128-6. Upper Saddle River, New Jersey. 884488830.
- Book: Sanders, Nada R.. The definitive guide to manufacturing and service operations : master the strategies and tactics for planning, organizing, and managing how products and services are produced. 2014. Pearson Education. Council of Supply Chain Management Professionals. 978-0-13-343865-9. Upper Saddle River, N.J.. 869214320.
- Book: Sanders, Nada. Forecasting Fundamentals.. 2015. Business Expert Press. 978-1-60649-871-2. New York. 963785275.
- Book: Sanders, Nada R.. Supply chain management : a global perspective. 2018. 978-1-119-39219-4. Second. Hoboken, NJ. 992120081.
- Book: Reid, R. Dan. Operations management : an integrated approach. 2019. Nada R. Sanders. 978-1-119-49733-2. Seventh. Hoboken, NJ. 1119125081.
- Book: Sanders, Nada R.. Foundations of sustainable business : theory, function, and strategy. 2020. John D. Wood. 978-1-119-57755-3. Second. Hoboken, NJ. 1124775883.
- Book: Sanders, Nada R.. The humachine : humankind, machines, and the future of enterprise. 2020. John D. Wood. 978-0-429-00117-8. First. New York, NY. 1119391268. . Favorably reviewed by Garth Thomas.[33]
Honors
Notes and References
- Web site: Nada Sanders. 2021-09-29. D'Amore-McKim School of Business. en-US.
- Web site: Nada R. Sanders, Ph.D. – NESCON 2019. 2021-10-04. en-US.
- Web site: Vaccaro. Adam. December 18, 2020. 'The system is just overwhelmed': Post office struggles with holiday deluge – The Boston Globe. 2021-10-03. BostonGlobe.com. en-US.
- News: Irwin. Neil. April 9, 2021. How America's Great Economic Challenge Suddenly Turned 180 Degrees. en-US. The New York Times. 2021-10-03. 0362-4331.
- Web site: February 25, 2020. U.S. stocks tumble, a 'coronavirus downturn' is coming: Economists. 2021-10-03. Boston Herald. en-US.
- Web site: Jason Hillenburg's review of The Humachine. 2021-10-10. www.goodreads.com.
- News: Sanders . Nada R. . Wood . John D. . 2023-11-03 . The Skills Your Employees Need to Work Effectively with AI . Harvard Business Review . 2023-12-21 . 0017-8012.
- Web site: PhD Alumni Fisher College of Business. 2021-09-30. Operations & Business Analytics Fisher College of Business. en.
- Lawrence. Michael. Goodwin. Paul. O'Connor. Marcus. Önkal. Dilek. 2006. Judgmental forecasting: A review of progress over the last 25years. International Journal of Forecasting. en. 22. 3. 493–518. 10.1016/j.ijforecast.2006.03.007. 11693/11578. free.
- 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. en. 135. 1. 514–522. 10.1016/j.ijpe.2011.09.001.
- Kim. Yusoon. Chen. Yi-Su. Linderman. Kevin. 2015. Supply network disruption and resilience: A network structural perspective. Journal of Operations Management. en. 33–34. 1. 43–59. 10.1016/j.jom.2014.10.006. 2027.42/146874. free.
- Web site: Supply Chain Management Course Descriptions CSUDH CEIE Carson, CA. 2021-10-04. z-CEIE-03-Tertiary. en.
- Web site: Aigbedo. Henry. 2018. Supply Chain Management (POM 4420).
- Web site: Porterfield. Diane. LibGuides: Certificate & Diploma Programs at Central Penn College: Organizational Change Management Certificate. 2021-10-04. guides.centralpenn.edu. en.
- Young. Scott T.. Baird. Brad C.. Pullman. Madeleine E.. 1996. POM research productivity in U.S. business schools. Journal of Operations Management. en. 14. 1. 41–53. 10.1016/0272-6963(95)00038-0.
- Web site: Nada R. Sanders, Ph.D. – NESCON 2019. 2021-10-03. en-US.
- Web site: 2006. POM-2006 Conference.
- Web site: March 1, 2021. 41st International Symposium on Forecasting, 27–30 June 2021. 2021-10-03. Timberlake Consultants. en.
- Web site: PLMA Virtual Conference. 2021-10-03. HAPPI.
- Web site: Nada R. Sanders 2019 POMS President. poms.org.
- Web site: DSI Officers. decisionsciences.org.
- Web site: January 29, 2021. AIM Adds Two Experts to Board of Economic Advisors. 2021-10-05. AIM.
- Web site: 2012. Consultants – International Institute of Forecasters. 2021-10-05. en-US.
- Web site: Journal of Business Logistics. 2021-10-01. Wiley Online Library. 10.1002/(ISSN)2158-1592. 2158-1592 . en.
- Web site: Journal of Supply Chain Management. 2021-10-01. Wiley Online Library. 10.1111/(ISSN)1745-493X . 1745-493X . en.
- 2016. Editorial Board. Production and Operations Management. en. 25. 1. 7–8. 10.1111/poms.12439. 1937-5956.
- 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. en. 24. 2. 354–355. 10.1111/poms.12340.
- Web site: International Journal of Forecasting Special Section: Supply Chain Forecasting ScienceDirect.com by Elsevier. 2021-10-01. www.sciencedirect.com. en-us.
- 2018. Issue Information. Production and Operations Management. en. 27. 9. 1631–1638. 10.1111/poms.12771. 240247449 . 1937-5956. free.
- 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. en. 40. 3. 229–240. 10.1111/jbl.12224. 203336486. 0735-3766.
- June 1, 2016. Issue Information. Journal of Business Logistics. en. 37. 2. 77–79. 10.1111/jbl.12098. free.
- Web site: Nada R. Sanders. 2021-10-03. scholar.google.com.
- Web site: Thomas. Garth. October 10, 2019. Nada Sanders and John Wood "The Humachine". 2021-10-03. The Hollywood Digest. en-US.
- Web site: Fellows – Decision Sciences Institute. 2021-09-29. en-US.
- Web site: Chairs and Professorships. 2021-10-02. catalog.tcu.edu.
- Web site: Carl & Ingeborg Beidleman Research Award in Business & Economics University Awards. 2021-10-01. awards.web.lehigh.edu.
- Web site: Faculty Endowed Chairs 2013–2014. lehigh.edu.