World's Best Scientists 2026 revealed!

D-Index & Metrics

Business and Management

D-Index
36
Citations
7512
World Ranking
2050
National Ranking
832

Engineering and Technology

D-Index
31
Citations
6281
World Ranking
9641
National Ranking
2741

Overview

Nada R. Sanders is affiliated with Northeastern University in the United States. Their research portfolio primarily centers on the field of Business, Management and Accounting, with 29 documented publications in this area. Within this broad domain, key subfields of study include Management Information Systems, Strategy and Management, Management Science and Operations Research, Industrial and Manufacturing Engineering, and Accounting.

The scientist's work addresses several main topics in supply chain and business operations, including:

  • Supply Chain Resilience and Risk Management
  • Quality and Supply Management
  • Sustainable Supply Chain Management
  • Big Data and Business Intelligence
  • Forecasting Techniques and Applications
  • Outsourcing and Supply Chain Management
  • Supply Chain and Inventory Management

Nada R. Sanders has published in a variety of academic venues. Frequent publication outlets include:

  • Production and Operations Management
  • SSRN Electronic Journal
  • International Journal of Operations & Production Management
  • Journal of Business Logistics
  • Transportation Research Part E Logistics and Transportation Review

Among their recent papers are:

  • "Just-in-time for supply chains in turbulent times," 2023, Production and Operations Management
  • "From supply chain risk to system-wide disruptions: research opportunities in forecasting, risk management and product design," 2023, International Journal of Operations & Production Management
  • "Utilizing people, analytics, and AI for decision making in the digitalized retail supply chain," 2023, Journal of Business Logistics
  • "Generative AI: Opportunities, challenges, and research directions for supply chain resilience," 2025, Transportation Research Part E Logistics and Transportation Review
  • "The Impact of Service Failures on Firm Profitability: Integrating Machine Learning and Statistical Modeling," 2020, IEEE Transactions on Engineering Management

Collaborations have been a notable aspect of their research activity. Frequent co-authors include:

  • ManMohan S. Sodhi
  • Thomas Y. Choi
  • Torbjørn H. Netland
  • Tyson R. Browning
  • Maneesh Kumar

Best Publications

  • Operations Management An Integrated Approach

    R. Dan Reid;Nada R. Sanders

  • MODELING THE RELATIONSHIP BETWEEN FIRM IT CAPABILITY, COLLABORATION, AND PERFORMANCE

    Nada R. Sanders;Robert Premus

  • An empirical study of the impact of e-business technologies on organizational collaboration and performance

    Nada R. Sanders

  • Pattern of information technology use: The impact on buyer–suppler coordination and performance

    Nada R. Sanders

  • The Emerging Role of the Third‐Party Logistics Provider (3PL) as an Orchestrator

    Zach G. Zacharia;Nada R. Sanders;Nancy W. Nix

  • Forecasting Practices in US Corporations: Survey Results

    Nada R. Sanders;Karl B. Manrodt

  • IT APPLICATIONS IN SUPPLY CHAIN ORGANIZATIONS: A LINK BETWEEN COMPETITIVE PRIORITIES AND ORGANIZATIONAL BENEFITS

    Nada R. Sanders;Robert Premus

  • A Multidimensional Framework for Understanding Outsourcing Arrangements

    Nada R. Sanders;Art Locke;Curtis B. Moore;Chad W. Autry

  • How to Use Big Data to Drive Your Supply Chain

    Nada R. Sanders

  • Forecasting sales in the supply chain: Consumer analytics in the big data era

    Tonya Boone;Ram Ganeshan;Aditya Jain;Nada R. Sanders

  • IT Alignment in Supply Chain Relationships: A Study of Supplier Benefits

    Nada R. Sanders

  • Big Data Driven Supply Chain Management: A Framework for Implementing Analytics and Turning Information into Intelligence

    Nada R. Sanders

  • Sustainable Supply Chains in the Age of AI and Digitization: Research Challenges and Opportunities

    Nada R. Sanders;Tonya Boone;Ram Ganeshan;John D. Wood

  • Judgmental Adjustment of Statistical Forecasts

    Nada R. Sanders;Larry P. Ritzman

  • Managing Differentiation‐Integration Duality in Supply Chain Integration

    Siri Terjesen;Pankaj C. Patel;Nada R. Sanders

  • The efficacy of using judgmental versus quantitative forecasting methods in practice

    Unknown

  • Supply Chain Management: A Global Perspective

    Nada R. Sanders

  • Forecasting software in practice: use, satisfaction, and performance

    Nada R. Sanders;Karl B. Manrodt

  • The need for contextual and technical knowledge in judgmental forecasting

    Nada R. Sanders;Larry P. Ritzman

  • Integrating judgmental and quantitative forecasts: methodologies for pooling marketing and operations information

    Nada R. Sanders;Larry P. Ritzman

  • Accuracy of judgmental forecasts: A comparison

    NR Sanders

  • Journal of behavioral decision making

    Nada R. Sanders;Larry P. Ritzman

Frequent Co-Authors

Larry P. Ritzman
Larry P. Ritzman Boston College
Chad W. Autry
Chad W. Autry University of Tennessee at Knoxville
John E. Ettlie
John E. Ettlie Rochester Institute of Technology
Robert Fildes
Robert Fildes Lancaster University
Morgan Swink
Morgan Swink Texas Christian University
Thomas Y. Choi
Thomas Y. Choi Arizona State University
Siri Terjesen
Siri Terjesen Florida Atlantic University
Behnam Fahimnia
Behnam Fahimnia University of Sydney
Tyson R. Browning
Tyson R. Browning Texas Christian University
J. George Shanthikumar
J. George Shanthikumar Purdue University West Lafayette

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