Open-access journal article · 2025

Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?

Kenneth David StrangiD & Narasimha Rao VajjhalaiD

Information, 16(11), Article 955 · Published

Scopus Q1Web of Science ESCI Q2Impact Factor 4.3 (JCR 2025)Open access · CC BY 4.0

Summary

Strang and Vajjhala (2025) tested whether project team members’ willingness to disclose past performance evaluations during procurement improves project success, applying correlation, conditioned correlation, t-tests and ordinary least squares regression to Fintech project data in a post-positivist design. After controlling for budget, end-user community size and certification, willingness to share past performance evaluations significantly improved project success, raising the explained variance in project success from 9.6% to 18.8%. The findings are reported for Fintech projects, and generalization to other project types requires further testing.

Practical implication. Project sponsors and procurement teams can use team members’ willingness to share past performance evaluations as a practical, low-cost signal when staffing Fintech projects.

The Problem
Projects still fail roughly half the time, and established predictors such as budget, end-user community size and certification explain little of the difference between success and failure.
The Methodology
Post-positivist quantitative hypothesis testing on Fintech project data: correlation, conditioned correlation, t-tests and ordinary least squares regression with budget, end-user community size and certification as controls.
The Core Finding
Team members’ willingness to disclose their past performance evaluations during procurement significantly improved project success after controlling for budget, end-user community size and certification, roughly doubling the explained variance in project success from 9.6% to 18.8%.
The Citation
Strang, K. D., & Vajjhala, N. R. (2025). Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success? Information, 16(11), Article 955. https://doi.org/10.3390/info16110955

The summary, key findings, methods, implications and relevance notes on this page are this website’s own description of the paper, written from the published abstract and text. The official abstract and citation details are given further down.

Key findings

  1. Finding 1. Projects continue to fail approximately half the time, both before and after the COVID-19 pandemic.
  2. Finding 2. The study tested its hypotheses with correlation, conditioned correlation, t-tests, and OLS linear regression in a post-positivist design.
  3. Finding 3. Controlling for budget, end-user community size, and certification, team members’ willingness to share past performance evaluations significantly improved project success.
  4. Finding 4. Adding willingness to disclose past performance increased the explained variance in project success from 9.6% to 18.8%.
  5. Finding 5. Transparency factors outweighed traditional resource-allocation variables in predicting Fintech project outcomes.

Source: Strang & Vajjhala (2025), Information, 16(11), Article 955. DOI: 10.3390/info16110955

The study in detail

What question does this paper answer?

Does a project team member’s willingness to disclose past performance evaluations during procurement improve team allocation and business process success — beyond established predictors such as budget, end-user community size, and certification?

What did the study find, in detail?

Yes. After controlling for budget, end-user community size, and certification, team members’ willingness to share their past performance evaluations significantly improved project success, raising the explained variance in project success from 9.6% to 18.8%.

Why does it matter?

Projects still fail roughly half the time. The results suggest that transparency factors — specifically, willingness to share past performance — can outweigh traditional resource-allocation variables in predicting Fintech project outcomes, giving project sponsors and procurement teams a practical, low-cost signal to use when staffing projects.

Methods and data

Design, data and results of Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?
Research questionDoes willingness to disclose past performance improve project and business process success?
DesignPost-positivist, hypothesis-testing quantitative design
ContextFintech projects; team allocation during procurement
MethodsCorrelation, conditioned correlation, t-tests, ordinary least squares (OLS) linear regression
ControlsBudget, end-user community size, certification
Main resultExplained variance in project success rose from 9.6% to 18.8% when willingness to disclose past performance was added
ImplicationTransparency is a stronger predictor of Fintech project outcomes than traditional resource allocation variables
CitationStrang & Vajjhala (2025) · DOI 10.3390/info16110955

Definitions and key terms

Past performance disclosure
A team member voluntarily sharing evaluations of their performance on earlier projects when being considered for a new project team. — as used in Strang & Vajjhala (2025)
Explained variance (R²)
The share of the variation in an outcome — here, project success — that a regression model accounts for. — as used in Strang & Vajjhala (2025)

All key terms across the publications →

Abstract

Projects continue to fail approximately half the time, both before and after the COVID-19 pandemic. While prior studies highlight the influence of project leadership and individual competencies, little is known about whether team members’ willingness to disclose past performance can improve team allocation decisions and enhance business process success. However, we do not know if team members’ willingness to disclose their past performance may improve teamwork allocation in projects, thereby increasing business process success while reducing the likelihood of the project failing. We applied a rigorous post-positivist research design using correlation, conditioned correlation, t-tests, and ordinary least squares (OLS) linear regression to test the hypotheses. Controlling established predictors including budget, end user community size, and certification, we found that team members’ willingness to share their past performance evaluations significantly improved project success, increasing explained variance from 9.6% to 18.8%. The results indicate that transparency factors—specifically, willingness to share past performance—outweigh traditional resource allocation variables in predicting Fintech project outcomes, explaining an additional 19% of the variance in project success.

Abstract as published in Information under a Creative Commons licence.

Limitations and open questions

  • Findings are reported for Fintech projects; generalization to other project types requires further testing.

Open questions

  • Would willingness to disclose past performance, measured before team selection in longitudinal or quasi-experimental designs, still predict success across industries and privacy regimes such as GDPR?

Open questions from the evidence overview Project management and project success.

Practical implications

  • Project sponsors and procurement teams can treat willingness to share past performance as a low-cost staffing signal, because the results suggest transparency factors can outweigh traditional resource-allocation variables in predicting Fintech project outcomes.
  • For researchers modelling project success with regression and control variables, adding willingness to disclose past performance to budget, end-user community size and certification increased the explained variance in project success from 9.6% to 18.8%.
  • For project sponsors and procurement teams staffing other types of project, generalization requires further testing, because the findings are reported for Fintech projects.

Drawn from Strang & Vajjhala (2025), Information, 16(11), Article 955.

When this research may be relevant

This article may be relevant to literature on project success predictors, team selection and procurement practices, transparency and past-performance disclosure in project staffing, and Fintech or financial software project management. It is useful for researchers modelling project success with regression and control variables.

Research topics addressed: project success; project failure; project team selection; procurement; past performance disclosure; transparency; Fintech projects; business process success; OLS regression; project management

How to cite

APA 7
Strang, K. D., & Vajjhala, N. R. (2025). Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success? Information, 16(11), Article 955. https://doi.org/10.3390/info16110955
MLA 9
Strang, Kenneth David, and Narasimha Rao Vajjhala. “Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?” Information, vol. 16, no. 11, 2025, article 955. https://doi.org/10.3390/info16110955.
IEEE
K. D. Strang and N. R. Vajjhala, “Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?” Information, vol. 16, no. 11, Art. no. 955, Nov. 2025, doi: 10.3390/info16110955.
BibTeX
@article{strang2025projectteam,
  title = {Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?},
  author = {Strang, Kenneth David and Vajjhala, Narasimha Rao},
  journal = {Information},
  volume = {16},
  number = {11},
  pages = {955},
  year = {2025},
  publisher = {MDPI},
  doi = {10.3390/info16110955},
  url = {https://doi.org/10.3390/info16110955}
}
RIS
TY  - JOUR
TI  - Can Project Team Members’ Willingness to Disclose Past Performance During Procurement Improve Organizational Business Process Success?
AU  - Strang, Kenneth David
AU  - Vajjhala, Narasimha Rao
JO  - Information
PY  - 2025
DA  - 2025/11/04
VL  - 16
IS  - 11
SP  - 955
PB  - MDPI
SN  - 2078-2489
DO  - 10.3390/info16110955
UR  - https://www.narasimharao.net/research/project-team-past-performance-disclosure-fintech-project-success/
LA  - en
ER  - 
Download citation:BibTeXRISCSL-JSONMarkdown

Related work

Strang’s logistic regression of 2,692 defense IT projects found several significant individual and organizational factors, yet they accounted for only 12% of the variance in outcomes[1]. Higher budgets were linked to breach in an earlier dataset (Strang & Vajjhala, 2023, IJITPM) and to lower Fintech project success in this one (B = -0.224), consistent with reviews linking budget and complexity to lower success[2].

  1. [1] Strang, K. D. (2021). Which organizational and individual factors predict success versus failure in procurement projects. International Journal of Information Technology Project Management, 12(3), 19–39. https://doi.org/10.4018/IJITPM.2021070102
  2. [2] Iriarte, C.; Bayona, S. IT projects success factors: A literature review. Int. J. Inf. Syst. Proj. Manag. 2020, 8, 49–78.

From the evidence overview What predicts IT project failure and success? Evidence on project managers, bias and team transparency from machine learning and experiments, which cites only works that appear in the studies’ own reference lists. This is a selection, not the full reference list of Strang & Vajjhala (2025).

Related research

2025
Strang & Vajjhala (2025) · International Journal of Project Organisation and Management · DOI 10.1504/IJPOM.2025.146727

Across 439 successful US government IT projects with 1,230 features, linear regression outperformed random forest and SVM in predicting project manager commitment tenure.

2024
Vajjhala & Strang (2024) · WorldCIST 2024 (World Conference on Information Systems and Technologies) · DOI 10.1007/978-3-031-60227-6_6

Supervised machine learning on 439 successful US government IT projects showed linear regression best predicted project manager commitment tenure (r² = 0.238), with line of business, experience, network collaboration tools and cross-industry team membership as the strongest features — supporting an association between higher commitment and project success.

2022
Strang & Vajjhala (2022) · International Journal of Information Technology Project Management · DOI 10.4018/IJITPM.304059

A 400% bonus incentive significantly lowered 16 experienced IT project managers’ likelihood of cancelling a failing project (from 3.438 to 2.438 on a 1–5 scale; p = .005, Cohen’s d = 0.826).

2022
Strang & Vajjhala (2022) · The Journal of Modern Project Management

In a controlled experiment with 24 experienced US project managers, a biasing incentive significantly lowered decision quality, and certification and risk competency were the only individual factors significantly related to good decisions (rho = 0.549 to 0.712).

2023
Strang & Vajjhala (2023) · International Journal of Information Technology Project Management · DOI 10.4018/IJITPM.317221

Random forest analysis of about 17,430 US government IT projects identified seven failure indicators with 81% recall and a ROC area of 0.849.

All publication summaries → · All selected publications →