Intervention-based Research Resource Page

Intervention-based Research Resource Page
Rogelio Oliva
Professor | Robyn L. and Alan B. Roberts Chair in Business
Mays Business School | Texas A&M University
Wehner 301C - 4217 TAMU | College Station, TX 77843-4217
Ph (979) 862-3744 | Fx (979) 845-5653 | E-mail: roliva@tamu.edu
In this space I will be posting papers regarding the development of intervention-based research (IBR) and examples of its use. For the Journal of Operations Management departmental mission statement please check here. Please forward any questions or comments to roliva@tamu.edu.
When article is not Free Acces, the "PrePub" link provides access to a pre-publication version of the paper.

Papers
These are articles that justify the development of IBR and provide methodological guidelines.

Oliva R. 2019. Intervention as a research strategy. Journal of Operations Management 65(7):710-724. PrePub.

Chandrasekaran A, deTreville S, Browning T. 2020. Editorial: Intervention-based research (IBR)--What, where, and how to use it in operations management. Journal of Operations Management 66(7): 370-378.

Chandrasekaran A, Oliva R, Salvador, F. 2023. Intervention-Based Research in Operations Management. Foundations and Trends® in Technology, Information and Operations Management 17(1):1-81. PrePub.

Bendoly E, Oliva R. 2025. Meaningful theoretical pathways for research contributions. Journal of Operations Management 71(1):forthcoming.

Examples
These are articles that exemplify the use of iBR in different contexts. Note that examples by other authors are listed in Chandrasekaran et al. 2020 and 2023.

Oliva R, Watson NH. 2011. Cross-functional alignment in supply chain planning: A case study of Sales & Operations Planning. Journal of Operations Management 29(5):434-448. PrePub.
This is an example of process theorizing similar to Mode 2 of IBR. Note, however, that this is not IBR as the researchers were not active agents of the change process.

Chuang HHC, Oliva R, Liu S. 2016. On-shelf availability, retail performance, and external audits: A field experiment. Production and Operations Management 25(5):935-951. PrePub.
This is the original publication of the intervention described in §4 of Oliva 2019.

Chuang HHC, Chou YC, Oliva R. 2021. Cross-item learning for volatile demand forecasting: An intervention with predictive analytics. Journal of Operations Management 67(7):828-852. PrePub.

Submission Guidelines
This document outlines the expected content, contribution, and emphasis of a submission of a Mode I IBR study -- a study based on action research. This is NOT a template nor a checklist. Proposed headings and structure are presented as one possible way to organize the evidence and the contribution.

Last updated March 27, 2025.