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Analysis of the ordering factors influencing the awarding price ratio of service contract in KONEPS

  • Journal of The Korea Society of Computer and Information
  • Abbr : JKSCI
  • 2023, 28(12), pp.239-248
  • DOI : 10.9708/jksci.2023.28.12.239
  • Publisher : The Korean Society Of Computer And Information
  • Research Area : Engineering > Computer Science
  • Received : November 6, 2023
  • Accepted : December 11, 2023
  • Published : December 29, 2023

Jung-Sung Ha 1 Tae-Hong Choi 1 Cho, Wan-sup 1

1충북대학교

Accredited

ABSTRACT

The purpose of this study is to analyze the factors for service contracts that affect the successful bid price rate, focusing on the case of the country market. In the study, ordering organizations and bidders differentiated themselves from existing studies by analyzing service contracts that affect the successful bid price rate in a wide range of country markets. Comparative analysis of the awarding price ratio for services, this work provides a comparable result to the existing results in the previous literature. The analytical model used five independent variables such as budget, contract method, the days of the public notice, the awarding method, and the lowest awarding ratio. In the survey and analysis, big data was collected using text mining for service bids for Nara Market over the past 18 years and data was analyzed in a multi-dimensional way. The results of the analysis are as follows, (1) if budget does not determine the awarding price ratio. This is not the case in small amounts. (2) The contract method affects the awarding price ratio. (3) The days of the public notice increase, the awarding price ratio decrease. (4) the awarding method affects the awarding price ratio. (5) The lowest awarding ratio determines the awarding price ratio. Based on the results of empirical analysis, policy implications were sought.

Citation status

* References for papers published after 2023 are currently being built.