Corporate Misconduct Prediction with Support Vector Machine in the Construction Industry-Reference-Cited by-同舟云学术

Corporate Misconduct Prediction with Support Vector Machine in the Construction Industry

Published:2018-07 Issue:4 Volume:34 Page:04018021
ISSN:0742-597X
Container-title:Journal of Management in Engineering
language:en
Short-container-title:J. Manage. Eng.

Author:

Wang Ran¹,Lee Chia-Jung²,Hsu Shu-Chien³,Lee Cheng-Yu⁴

Affiliation:

1. Ph.D. Student, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ., 181 Chatham Rd. South, Hung Hom, Kowloon, Hong Kong SAR.

2. Assistant Professor, Institute of Human Resource Management, National Sun Yat-Sen Univ., 70 Lienhai Rd., Kaohsiung 80424, Taiwan.

3. Assistant Professor, Dept. of Civil and Environmental Engineering, Hong Kong Polytechnic Univ. ZS944, 9/F, Block Z, 181 Chatham Rd. South, Hung Hom, Kowloon, Hong Kong SAR (corresponding author).

4. Associate Professor, Dept. of Industrial Management and Information, Southern Taiwan Univ. of Science and Technology, 1 Nan-Tai St., Yongkang District, Tainan 71005, Taiwan.

Publisher

American Society of Civil Engineers (ASCE)

Subject

Management Science and Operations Research,Strategy and Management,General Engineering,Industrial relations

Link

http://ascelibrary.org/doi/pdf/10.1061/%28ASCE%29ME.1943-5479.0000630

Reference105 articles.

1. How professional ethics impact construction quality: Perception and evidence in a fast developing economy;Abdul-Rahman H.;Sci. Res. Essays,2010

2. CONCEALMENT OF NEGATIVE ORGANIZATIONAL OUTCOMES: AN AGENCY THEORY PERSPECTIVE.

3. Application of Support Vector Machines in Assessing Conceptual Cost Estimates

4. Predicting Juvenile Offending

5. Boardroom Strategic Decision-Making Style: Understanding the Antecedents

Cited by 12 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A decision-support productive resource recommendation system for enhanced construction project management;Advanced Engineering Informatics;2024-10

2. Deep neural networks for corporate misconduct prediction in construction industry using data from social networks;Automation in Construction;2024-06

3. A Classification Model Using Personal Biometric Characteristics to Identify Individuals Vulnerable to an Extremely Hot Environment;Journal of Management in Engineering;2024-03

4. Investigating the Role of Executive Intrafirm Alumni Networks in Top Management Fraud: Multilevel Study in China’s Construction Industry;Journal of Management in Engineering;2024-03

5. Deconstruction of ESG Impacts on US Corporate Bond Pricing: The Cost of Capital Benefits Across Industry Sectors;Journal of Management in Engineering;2024-01