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TPB를 활용한 입찰실무자들의 공정입찰 행동 예측

Predicting Fair Bidding Behavior of Bidding Practitioners using TPB

  • 조진호 (경북대학교 지능형건설자동화연구센터) ;
  • 신영수 (경북대학교 법학전문대학원) ;
  • 김병수 (경북대학교 토목공학과)
  • Cho, Jin-Ho (Intelligent Construction Automation Research Center, Kyungpook National University) ;
  • Shin, Young-Su (Department of Law School, Kyungpook National University) ;
  • Kim, Byung-Soo (Department of Civil Engineering, Kyungpook National University)
  • 투고 : 2023.08.04
  • 심사 : 2023.11.10
  • 발행 : 2024.01.31

초록

입찰담합은 건설산업과 경제 전반에 부정적인 영향을 미치기 때문에, 이를 없애기 위해 입찰실무자들의 공정입찰 행동을 이해하는 것이 중요하다. 연구는 대구·경북지역 건설사의 입찰실무자를 대상으로 설문 조사 데이터를 수집하고, PLS-SEM 분석을 통해 입찰실무자의 입찰담합에 관한 태도, 주관적 규범, 지각된 행동 통제와 공정입찰을 위한 행동 의도 간의 인과관계를 분석했다. 분석결과, 입찰실무자들의 입찰담합에 관한 태도와 지각된 행동통제가 공정입찰 행동 의도를 예측하는 중요한 변수로 확인되었다. 이는 입찰실무자들의 입찰담합에 대한 인식과 개인적인 행동통제가 공정입찰에 대한 의지와 행동에 영향을 미친다는 것을 시사한다. 이러한 연구 결과를 통해 입찰실무자들의 행동 변화에 대한 인사이트를 얻을 수 있으며, 이는 공정입찰을 촉진하고 입찰담합을 방지하기 위한 정책 및 조치를 개발하는 데에 도움이 될 것이다.

This study highlights the importance of understanding the fair bidding behavior of bid practitioners in order to eliminate bid-rigging, which has a detrimental impact on the construction industry and the overall economy. The research collected survey data from bid practitioners in the Daegu and Gyeongbuk regions of South Korea and analyzed the causal relationships between attitudes towards bid-rigging, subjective norms, perceived behavioral control, and the intention to engage in fair bidding using PLS-SEM analysis. The analysis results confirm that attitudes towards bid-rigging and perceived behavioral control are significant variables predicting the intention to engage in fair bidding among bid practitioners. This indicates that bid practitioners' perceptions of bid-rigging and personal behavioral control influence their willingness and actions towards fair bidding. The insights gained from this research provide valuable insights into bid practitioners' behavioral changes and can aid in the development of policies and measures to promote fair bidding and prevent bid-rigging.

키워드

과제정보

본 연구는 과학기술정보통신부의 재원으로 한국연구재단의 지원을 받아 수행된 연구입니다(NRF-2021R1A2C1014267). 본 논문은 한국연구재단 지역대학우수과학자지원사업의 지원을 받아 수행된 연구임 (NRF-2019R1I1A3A01062229).

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