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Naïve Bayesian Classifier for Selecting GoodBad Projects during the Early Stage of International Construction Bidding Decisions
المؤلفون المشاركون
Jang, Woosik
Lee, Jung Ki
Lee, Jaebum
Han, Seung Heon
المصدر
Mathematical Problems in Engineering
العدد
المجلد 2015، العدد 2015 (31 ديسمبر/كانون الأول 2015)، ص ص. 1-12، 12ص.
الناشر
Hindawi Publishing Corporation
تاريخ النشر
2015-09-27
دولة النشر
مصر
عدد الصفحات
12
التخصصات الرئيسية
الملخص EN
Since the 1970s, revenues generated by Korean contractors in international construction have increased rapidly, exceeding USD 70 billion per year in recent years.
However, Korean contractors face significant risks from market uncertainty and sensitivity to economic volatility and technical difficulties.
As the volatility of these risks threatens project profitability, approximately 15% of bad projects were found to account for 74% of losses from the same international construction sector.
Anticipating bad projects via preemptive risk management can better prevent losses so that contractors can enhance the efficiency of bidding decisions during the early stages of a project cycle.
In line with these objectives, this paper examines the effect of such factors on the degree of project profitability.
The Naïve Bayesian classifier is applied to identify a good project screening tool, which increases practical applicability using binomial variables with limited information that is obtainable in the early stages.
The proposed model produced superior classification results that adequately reflect contractor views of risk.
It is anticipated that when users apply the proposed model based on their own knowledge and expertise, overall firm profit rates will increase as a result of early abandonment of bad projects as well as the prioritization of good projects before final bidding decisions are made.
نمط استشهاد جمعية علماء النفس الأمريكية (APA)
Jang, Woosik& Lee, Jung Ki& Lee, Jaebum& Han, Seung Heon. 2015. Naïve Bayesian Classifier for Selecting GoodBad Projects during the Early Stage of International Construction Bidding Decisions. Mathematical Problems in Engineering،Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074840
نمط استشهاد الجمعية الأمريكية للغات الحديثة (MLA)
Jang, Woosik…[et al.]. Naïve Bayesian Classifier for Selecting GoodBad Projects during the Early Stage of International Construction Bidding Decisions. Mathematical Problems in Engineering No. 2015 (2015), pp.1-12.
https://search.emarefa.net/detail/BIM-1074840
نمط استشهاد الجمعية الطبية الأمريكية (AMA)
Jang, Woosik& Lee, Jung Ki& Lee, Jaebum& Han, Seung Heon. Naïve Bayesian Classifier for Selecting GoodBad Projects during the Early Stage of International Construction Bidding Decisions. Mathematical Problems in Engineering. 2015. Vol. 2015, no. 2015, pp.1-12.
https://search.emarefa.net/detail/BIM-1074840
نوع البيانات
مقالات
لغة النص
الإنجليزية
الملاحظات
Includes bibliographical references
رقم السجل
BIM-1074840
قاعدة معامل التأثير والاستشهادات المرجعية العربي "ارسيف Arcif"
أضخم قاعدة بيانات عربية للاستشهادات المرجعية للمجلات العلمية المحكمة الصادرة في العالم العربي
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