skip to main content
10.1145/2460999.2461033acmotherconferencesArticle/Chapter ViewAbstractPublication PageseaseConference Proceedingsconference-collections
research-article

A strong focus on low price when selecting software providers increases the likelihood of failure in software outsourcing projects

Published: 14 April 2013 Publication History

Abstract

Context: Bidding rounds are frequently used to select competent and cost-efficient providers for software projects. Objective: We hypothesize that emphasizing low price when selecting software providers in such bidding rounds substantially increases the likelihood the project will fail. Method: The hypothesis is tested by analyzing a dataset of 4,791,067 bids for 785,326 small-scale projects registered at a web-based marketplace connecting software clients and providers. Results: We find evidence supporting our hypothesis. For example, selecting providers with bids 25% lower than the average bid is connected to a 9% increase in the frequency of project failures for the same level of provider skill. In addition, we found that clients emphasizing a low price, on average, selected providers with lower skill levels. This decrease in provider skill level further strengthened the negative effect of a strong focus on low price on project failures. For example, selecting a provider with a 15% failure rate for previous projects instead of 5% increased the failure rate by 33%. Conclusion: We interpret the findings to suggest that a client may substantially reduce the likelihood of project failure by reducing the emphasis on low price when selecting a provider.

References

[1]
Sauer, C., A. Gemino, and B. H. Reich. 2007. The impact of size and volatility on IT project performance. Communications of the ACM. 50(11), 79--84.
[2]
Jørgensen, M. and K. Moløkken-Østvold. 2004. Reasons for software effort estimation error: impact of respondent role, information collection approach, and data analysis method. IEEE Transactions on Software Engineering. 30(12), 993--1007.
[3]
Jørgensen, M., 2013. The Influence of Selection Bias on Effort Overruns in Software Development Projects. Information and Software Technology (to appear). simula.no/publications/Simula.simula.1478.
[4]
Jørgensen, M. and D. I. K. Sjøberg. 2001. Impact of effort estimates on software project work. Information and Software Technology. 43(15), 939--948.
[5]
Kruger, J. and D. Dunning. 1999. Unskilled and unaware of it: How difficulties in recognizing one's own incompetence lead to inflated self-assessments. Journal of Personality and Social Psychology. 77(6), 1121--1134.
[6]
Jørgensen, M. and G. Carelius, 2004. An empirical study of software project bidding. IEEE Transactions of Software Engineering. 30(12), 953--969.

Cited By

View all
  • (2017)Exploring the outsourcing relationship in software startupsProceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering10.1145/3084226.3084248(134-143)Online publication date: 15-Jun-2017
  • (2017)Software development contractsProceedings of the 10th International Workshop on Cooperative and Human Aspects of Software Engineering10.1109/CHASE.2017.1(30-35)Online publication date: 20-May-2017
  • (2017)Exploring software developers work practicesInformation and Management10.1016/j.im.2016.09.00554:3(364-382)Online publication date: 1-Apr-2017
  • Show More Cited By

Index Terms

  1. A strong focus on low price when selecting software providers increases the likelihood of failure in software outsourcing projects

      Recommendations

      Comments

      Information & Contributors

      Information

      Published In

      cover image ACM Other conferences
      EASE '13: Proceedings of the 17th International Conference on Evaluation and Assessment in Software Engineering
      April 2013
      268 pages
      ISBN:9781450318488
      DOI:10.1145/2460999
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

      Sponsors

      • Centro de Informatica - UFPE: Centro de Informatica - UFPE
      • SBC: Brazilian Computer Society
      • CNPq: Conselho Nacional de Desenvolvimento Cientifico e Tecn
      • CAPES: Brazilian Higher Education Funding Council

      Publisher

      Association for Computing Machinery

      New York, NY, United States

      Publication History

      Published: 14 April 2013

      Permissions

      Request permissions for this article.

      Check for updates

      Author Tags

      1. Dunning-Kruger effect
      2. adverse selection
      3. bidding
      4. project failures
      5. provider selection
      6. software cost estimation
      7. winner's curse

      Qualifiers

      • Research-article

      Conference

      EASE '13
      Sponsor:
      • Centro de Informatica - UFPE
      • SBC
      • CNPq
      • CAPES

      Acceptance Rates

      EASE '13 Paper Acceptance Rate 31 of 94 submissions, 33%;
      Overall Acceptance Rate 71 of 232 submissions, 31%

      Contributors

      Other Metrics

      Bibliometrics & Citations

      Bibliometrics

      Article Metrics

      • Downloads (Last 12 months)2
      • Downloads (Last 6 weeks)0
      Reflects downloads up to 08 Mar 2025

      Other Metrics

      Citations

      Cited By

      View all
      • (2017)Exploring the outsourcing relationship in software startupsProceedings of the 21st International Conference on Evaluation and Assessment in Software Engineering10.1145/3084226.3084248(134-143)Online publication date: 15-Jun-2017
      • (2017)Software development contractsProceedings of the 10th International Workshop on Cooperative and Human Aspects of Software Engineering10.1109/CHASE.2017.1(30-35)Online publication date: 20-May-2017
      • (2017)Exploring software developers work practicesInformation and Management10.1016/j.im.2016.09.00554:3(364-382)Online publication date: 1-Apr-2017
      • (2016)Better Selection of Software Providers through TrialsourcingIEEE Software10.1109/MS.2015.2433:5(48-53)Online publication date: 1-Sep-2016
      • (2016)A survey on the characteristics of projects with success in delivering client benefitsInformation and Software Technology10.1016/j.infsof.2016.05.00878:C(83-94)Online publication date: 1-Oct-2016
      • (2015)Support mechanisms to conduct empirical studies in software engineeringProceedings of the 19th International Conference on Evaluation and Assessment in Software Engineering10.1145/2745802.2745823(1-14)Online publication date: 27-Apr-2015

      View Options

      Login options

      View options

      PDF

      View or Download as a PDF file.

      PDF

      eReader

      View online with eReader.

      eReader

      Figures

      Tables

      Media

      Share

      Share

      Share this Publication link

      Share on social media