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][8]
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.[17] She has been a keynote speaker at conferences in her specialties-[18][19][20][21]
As an editor, Sanders is a member of the editorial boards of several academic journals, among them the Journal of Business Logistics,[26] the Journal of Supply Chain Management,[27] and Production and Operations Management.[28] She has also been a co-editor of several special journal issues, including "Big Data Driven Supply Chain Management" (Production and Operations Management, 2017),[29] "Big Data Driven Forecasting in Supply Chain Management" (International Journal of Forecasting, 2017),[30] "Perspectives on Big Data" (Operations Management, 2018),[31] "Sustainable Supply Chains in a Digital Interconnected World," (Journal of Business Logistics, 2019),[32] and "Using Interdisciplinary Research to Address Contemporary SCM Problems" (Journal of Business Logistics, 2016).[33]
Worksedit
Papersedit
Sanders has published over 120 articles in peer-reviewed academic journals which have been cited over 6,400 times;[10] 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).[10]
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).[10]
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).[10]
Her most recent articles refer to the impact of Artificial intelligence on business and supply chains:
Sanders, Nada R.; Boone, Tonya; Ganeshan, Ram; Wood, John D. (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.
Sanders, Nada R.; Wood, John D. (August 24, 2020). "The Secret to AI Is People". Harvard Business Review. ISSN 0017-8012. Retrieved October 12, 2021.
Booksedit
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.[7]
Carl & Ingeborg Beidleman Research Award in Business & Economics (Leigh University, 2012)[36]
Named Iacocca Chair and Professor of Supply Chain Management, Lehigh University (2009–2014)[37]
Referencesedit
^ abc"Nada Sanders". D'Amore-McKim School of Business. Retrieved September 29, 2021.
^ ab"Nada R. Sanders, Ph.D. – NESCON 2019". Retrieved October 4, 2021.
^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.
^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.
^"U.S. stocks tumble, a 'coronavirus downturn' is coming: Economists". Boston Herald. February 25, 2020. Retrieved October 3, 2021.
^"Jason Hillenburg's review of The Humachine". www.goodreads.com. Retrieved October 10, 2021.
^ abThomas, Garth (October 10, 2019). "Nada Sanders and John Wood "The Humachine"". The Hollywood Digest. Retrieved October 3, 2021.
^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.
^"PhD Alumni | Fisher College of Business". Operations & Business Analytics | Fisher College of Business. Retrieved September 30, 2021.
^ abcde"Nada R. Sanders". scholar.google.com. Retrieved October 3, 2021.
^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.
^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.
^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.
^Aigbedo, Henry (2018). "Supply Chain Management (POM 4420)" (PDF).
^Porterfield, Diane. "LibGuides: Certificate & Diploma Programs at Central Penn College: Organizational Change Management Certificate". guides.centralpenn.edu. Retrieved October 4, 2021.
^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.
^"Nada R. Sanders, Ph.D. – NESCON 2019". Retrieved October 3, 2021.
^"AIM Adds Two Experts to Board of Economic Advisors". AIM. January 29, 2021. Retrieved October 5, 2021.
^"Consultants – International Institute of Forecasters". 2012. Retrieved October 5, 2021.
^"Journal of Business Logistics". Wiley Online Library. doi:10.1002/(ISSN)2158-1592. ISSN 2158-1592. Retrieved October 1, 2021.
^"Journal of Supply Chain Management". Wiley Online Library. doi:10.1111/(ISSN)1745-493X. ISSN 1745-493X. Retrieved October 1, 2021.
^"Editorial Board". Production and Operations Management. 25 (1): 7–8. 2016. doi:10.1111/poms.12439. ISSN 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. 24 (2): 354–355. doi:10.1111/poms.12340.
^"International Journal of Forecasting | Special Section: Supply Chain Forecasting | ScienceDirect.com by Elsevier". www.sciencedirect.com. Retrieved October 1, 2021.
^"Issue Information". Production and Operations Management. 27 (9): 1631–1638. 2018. doi:10.1111/poms.12771. ISSN 1937-5956. S2CID 240247449.
^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.
^"Issue Information". Journal of Business Logistics. 37 (2): 77–79. June 1, 2016. doi:10.1111/jbl.12098.
^"Fellows – Decision Sciences Institute". Retrieved September 29, 2021.
^"Chairs and Professorships". catalog.tcu.edu. Retrieved October 2, 2021.
^"Carl & Ingeborg Beidleman Research Award in Business & Economics | University Awards". awards.web.lehigh.edu. Retrieved October 1, 2021.