{"title":"Anti-corruption measures in large-scale construction projects","authors":"Pardis Nikoonam Nezami, Payam Shojaei, Aboalghasem Ebrahimi","doi":"10.1093/imaman/dpad030","DOIUrl":null,"url":null,"abstract":"Corruption is affecting many developing countries, manifested often in construction projects. This study identifies the factors causing corruption and prioritizes anti-corruption measures in large-scale urban construction projects with empirical data from a developing country: Iran. The model consists of six main dimensions including 24 measures and was developed by systematically reviewing the literature as well as collecting primary data through interviewing experts. The model prioritizes the anti-corruption measures through an integrated method of Fuzzy Best-Worst Method (FBWM) and Fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (FMARCOS). The field of corruption has a multifaceted nature and inherent uncertainty, which necessitates this integrated approach for its analysis. The results reveal that the “lawlessness and deregulation in public construction projects” and “top management and leader commitment” are the most important causes of corruption. This study offers two main contributions. First, it develops a conceptual model to evaluate and prioritize anti-corruption measures; second, it generates practical solution for reducing corruption in municipal and urban management, thus enhancing the prospects of successful construction projects in developing countries.","PeriodicalId":56296,"journal":{"name":"IMA Journal of Management Mathematics","volume":"4 1","pages":""},"PeriodicalIF":1.9000,"publicationDate":"2024-01-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"IMA Journal of Management Mathematics","FirstCategoryId":"5","ListUrlMain":"https://doi.org/10.1093/imaman/dpad030","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"MANAGEMENT","Score":null,"Total":0}
引用次数: 0
Abstract
Corruption is affecting many developing countries, manifested often in construction projects. This study identifies the factors causing corruption and prioritizes anti-corruption measures in large-scale urban construction projects with empirical data from a developing country: Iran. The model consists of six main dimensions including 24 measures and was developed by systematically reviewing the literature as well as collecting primary data through interviewing experts. The model prioritizes the anti-corruption measures through an integrated method of Fuzzy Best-Worst Method (FBWM) and Fuzzy Measurement Alternatives and Ranking according to the COmpromise Solution (FMARCOS). The field of corruption has a multifaceted nature and inherent uncertainty, which necessitates this integrated approach for its analysis. The results reveal that the “lawlessness and deregulation in public construction projects” and “top management and leader commitment” are the most important causes of corruption. This study offers two main contributions. First, it develops a conceptual model to evaluate and prioritize anti-corruption measures; second, it generates practical solution for reducing corruption in municipal and urban management, thus enhancing the prospects of successful construction projects in developing countries.
期刊介绍:
The mission of this quarterly journal is to publish mathematical research of the highest quality, impact and relevance that can be directly utilised or have demonstrable potential to be employed by managers in profit, not-for-profit, third party and governmental/public organisations to improve their practices. Thus the research must be quantitative and of the highest quality if it is to be published in the journal. Furthermore, the outcome of the research must be ultimately useful for managers. The journal also publishes novel meta-analyses of the literature, reviews of the "state-of-the art" in a manner that provides new insight, and genuine applications of mathematics to real-world problems in the form of case studies. The journal welcomes papers dealing with topics in Operational Research and Management Science, Operations Management, Decision Sciences, Transportation Science, Marketing Science, Analytics, and Financial and Risk Modelling.