Public procurement and reputation. An agent‐based model Article Swipe
Nadia Fiorino
,
Emma Galli
,
Ilde Rizzo
,
Marco Valente
·
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/meca.12441
YOU?
·
· 2023
· Open Access
·
· DOI: https://doi.org/10.1111/meca.12441
This paper uses an agent‐based computational model to investigate whether and how considering the firm's reputation in the public procurement selection process affects the expected final contract cost. We take account of different sets of simulations and a range of model parameters (such as firm skills, level of opportunistic rebate, relative weights of reputation and rebate) and propose a reputation index based on the cost overruns recorded by winning firms at the conclusion of their contracts. We show that this index allows the awarding authority to (i) select the most efficient and the least opportunistic firms, and (ii) to exclude firms that engage in frequent opportunistic behavior whose reputation has declined. Our results suggest that reputation matters, and we derive some implications for policy.
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- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1111/meca.12441
- OA Status
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https://openalex.org/W2809399341Canonical identifier for this work in OpenAlex
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https://doi.org/10.1111/meca.12441Digital Object Identifier
- Title
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Public procurement and reputation. An agent‐based modelWork title
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articleOpenAlex work type
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enPrimary language
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2023Year of publication
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2023-08-30Full publication date if available
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Nadia Fiorino, Emma Galli, Ilde Rizzo, Marco ValenteList of authors in order
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https://doi.org/10.1111/meca.12441Publisher landing page
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hybridOpen access status per OpenAlex
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- Concepts
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Reputation, Procurement, Index (typography), Microeconomics, Process (computing), Business, Economics, Industrial organization, Actuarial science, Marketing, Computer science, Sociology, World Wide Web, Social science, Operating systemTop concepts (fields/topics) attached by OpenAlex
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3Total citation count in OpenAlex
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2025: 3Per-year citation counts (last 5 years)
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10Other works algorithmically related by OpenAlex
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| cited_by_percentile_year.min | 96 |
| corresponding_author_ids | https://openalex.org/A5102743134 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 4 |
| corresponding_institution_ids | https://openalex.org/I26415053 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/10 |
| sustainable_development_goals[0].score | 0.5899999737739563 |
| sustainable_development_goals[0].display_name | Reduced inequalities |
| citation_normalized_percentile.value | 0.74173354 |
| citation_normalized_percentile.is_in_top_1_percent | False |
| citation_normalized_percentile.is_in_top_10_percent | False |