Late payments, higher prices? An experimental investigation of competitive procurement

Abstract The decision to pay one's supplier late is commonplace across global supply chains and, arguably, a key challenge for many businesses. In a multiple‐methods study, we contribute to the literature by documenting important empirical and anecdotal features about the likelihood and severity of late payments, formulating and solving a theoretical model grounded in these features, which suggests a policy tool to reduce late payments and then validating the model through a rigorous laboratory experiment. Grounded in our direct interactions with buyer‐side and supplier‐side organizations and our analysis of regulatory payment reports, we construct a game‐theoretic model to analyze the qualitative effect through which uncertainty about the date payment will be received influences suppliers’ pricing decisions. We then examine whether an economic incentive (penalty for late payment) deters buyers from reneging upon an announced payment term. The effectiveness of introducing a penalty for late payment is not obvious because some buyers may choose to circumvent the penalty by announcing a longer payment term up front, and the penalty may influence suppliers’ bidding strategies. We find analytically and validate experimentally that setting the highest penalty for late payment is an effective deterrent mechanism and leads to the highest expected buyer profit through its effect on supplier competition. Thus, establishing a credible commitment to pay one's suppliers within a shorter payment term is a cost‐effective managerial strategy for buyers. However, a welfare loss arises if the penalty is not set high enough because it fails to align incentives for a subset of buyers.

Authors

Institutions

Publication Details

Journal
Decision Sciences
Published
2025-05-29
DOI
https://doi.org/10.1111/deci.70006
Citations
2
Primary Topic
Auction Theory and Applications
Type
article
Field-Weighted Citation Impact
4.21

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Late payments, higher prices? An experimental investigation of competitive procurement

Matthew J. Walker, Kyle Hyndman
2 citations
Decision Sciences
Auction Theory and Applications
4.21
article

Late payments, higher prices? An experimental investigation of competitive procurement

Matthew J. Walker, Kyle Hyndman
article en
2 citations

Abstract

Abstract The decision to pay one's supplier late is commonplace across global supply chains and, arguably, a key challenge for many businesses. In a multiple‐methods study, we contribute to the literature by documenting important empirical and anecdotal features about the likelihood and severity of late payments, formulating and solving a theoretical model grounded in these features, which suggests a policy tool to reduce late payments and then validating the model through a rigorous laboratory experiment. Grounded in our direct interactions with buyer‐side and supplier‐side organizations and our analysis of regulatory payment reports, we construct a game‐theoretic model to analyze the qualitative effect through which uncertainty about the date payment will be received influences suppliers’ pricing decisions. We then examine whether an economic incentive (penalty for late payment) deters buyers from reneging upon an announced payment term. The effectiveness of introducing a penalty for late payment is not obvious because some buyers may choose to circumvent the penalty by announcing a longer payment term up front, and the penalty may influence suppliers’ bidding strategies. We find analytically and validate experimentally that setting the highest penalty for late payment is an effective deterrent mechanism and leads to the highest expected buyer profit through its effect on supplier competition. Thus, establishing a credible commitment to pay one's suppliers within a shorter payment term is a cost‐effective managerial strategy for buyers. However, a welfare loss arises if the penalty is not set high enough because it fails to align incentives for a subset of buyers.

Decision SciencesVol. 56(6)
The University of Texas at Dallas (US), Newcastle University (GB)
Economic and Social Research Council
Openalex Percentile: Top 6%
Auction Theory and Applications
4.21
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.