@article{658fdac6cca2439285a21fbbe830dd9b,
title = "Best Practices for Leveraging Data Analytics in Procurement",
abstract = "Increasingly, organizations are using data analytics to improve performance across business functions, including procurement. Our examination of 15 Fortune 500 companies{\textquoteright} procurement practices found that most are not using data analytics fully. To understand why, we investigated the challenges procurement functions face in moving up the analytics hierarchy.",
author = "Shao, {Benjamin B.M.} and Louis, {Robert D.St} and Karen Corral and Ziru Li",
note = "Funding Information: 1 Iris Junglas is the accepting senior editor for this article. 2 The authors thank Iris Junglas and members of the review team for their insightful comments and guidance throughout the review process. We also gratefully acknowledge the funding support provided by the Center for Advanced Procurement Strategy (CAPS) Research for the project “Data Analytics Teams and Procurement: Who and What” from May 2017 to December 2018. The survey and interviews carried out for the project form the basis of the findings presented in this article. 3 See, for instance: 1) Handfield, R., Choi, T., Venkatraman, J. and Murthy, S. Emerging Procurement Technology: Data Analytics and Cognitive Analytics, Center for Advanced Procurement Strategy (CAPS) Research, 2017; and 2) Laursen, G. H. N. Business Analytics for Sales and Marketing Managers: How to Compete in the Information Age, John Wiley & Sons, 2011. Publisher Copyright: {\textcopyright} 2022. University of Minnesota",
year = "2022",
doi = "10.17705/2msqe.00062",
language = "English (US)",
volume = "21",
pages = "131--142",
journal = "MIS Quarterly Executive",
issn = "1540-1960",
publisher = "Indiana University Press",
number = "2",
}