연구동향 분석

An Empirical Study on Performance Measurement Factors for Construction Organizations

K. K. Tripathi K. N. Jha 2018년

논문상세정보
    • 저자 K. K. Tripathi K. N. Jha
    • 제어번호 105341177
    • 학술지명 KSCE Journal of Civil Engineering
    • 권호사항 Vol. 22 No. 4 [ 2018 ]
    • 발행처 대한토목학회
    • 자료유형 학술저널
    • 수록면 1052-1066
    • 언어 English
    • 출판년도 2018
    • 등재정보 KCI등재
    • 소장기관 영남대학교 과학도서관
    • 판매처
    유사주제 논문( 0)
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' An Empirical Study on Performance Measurement Factors for Construction Organizations' 의 참고문헌

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  • The proposal of key performance indicators in facility management and determination the Weights of Significance
  • Scene graph and frame update algorithms for smooth and scalable 3D visualization of simulated construction operations
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    Giossi, S. [2012]
  • Performance of minority firms providing construction management services in the US transportation sector
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  • Performance modeling for contractor selection
  • Performance measurement of construction firms in developing countries
    Luu, T.-V. [2008]
  • Performance measurement in construction
  • Performance management in construction: A conceptual framework
  • Performance evaluating model for construction companies: Egyptian case study
  • Performance assessment of construction companies integrating key performance indicators and data envelopment analysis
  • Perceptions and barriers in implementing knowledge management strategies in large construction organisations
  • Modelling profitability and effectiveness of Greeklisted construction firms: An integrated DEA and ratio analysis
  • Measuring performance of Malaysian construction industry
    Chan, T. K. [2009]
  • Management's perception of key performance indicators for construction
    Cox, R. F. [2003]
  • Management of construction firm performance using benchmarking
  • Malmquist indices of total factor productivity changes in the Australian construction industry
    Li, Y. [2010]
  • Key Performance Indicators
  • Indicators for measuring performance of building construction companies in Kingdom of Saudi Arabia
  • Improvement tools in the UK construction industry
  • Implementing total quality management in construction firms
  • Identifying the critical success factors for target cost contracts in the construction industry
  • Identification of key performance indicators for measuring the performance of value management studies in construction
    Lin, G. [2011]
  • Fuzzy decision model for construction contractor's selection in Egypt: Tender Phase
  • Framework for determining critical success factors influencing construction business performance
  • Final contractor selection using the analytical hierarchy process
    Fong, P. S. [2000]
  • Development of an integrated information resource base for 4D/VR construction processes simulation
    Dawood, N. [2003]
  • Determination of key performance indicators with enterprise resource planning systems in engineering construction firms
  • Contractor selection for construction project, with the use of fuzzy preference relation
    Ibadov, N. [2015]
  • Contractor selection criteria: Investigation of opinions in Singapore construction practitioners
    Singh, K. [2006]
  • Contractor performance prediction model for the United Kingdom construction contractor: Study of logistic regression approach
    Wong, C. H. [2004]
  • Contractor key competitiveness indicators: A China study
    Shen, L. [2006]
  • Contractor ability criteria: A view point from the Thai construction industry
  • Construction business performance measurement: The stakeholder perspective measurement alternative
  • Comparative performance of publicly listed construction companies: Australian evidence
  • Comparable performance measurement system for construction companies
    Yu, I. [2007]
  • Chinese values and stressors of Construction professionals in Hong Kong
    Leung, M. [2010]
  • Case study research: design and methods (4th ed)
    Yin, R. K. [2009]
  • Building a conceptual framework Performance for measuring business performance in construction: An empirical evaluation
  • Application of data warehouse and Decision Support System in construction management
    Chau, K. W. [2003]
  • Application of benchmarking method in the construction companies
  • Application of Key Performance Indicators in the Construction Industry: A comparison of the United Kingdom with the Czech Republic
  • Applicability of e-Work models for the automation of construction materials management systems
  • Analysis of pre-qualification criteria in contractor selection and their impacts on project success
    Doloi, H. [2009]
  • Achieving client satisfaction for engineering consulting firm
    Tang, S. L. [2003]
  • A textbook on Conducting research in conservation: A social science perspective
    Newing, H. [2011]
  • A Conceptual performance measurement framework for construction industry
    Isik, Z. [2009]
  • 4D dynamic management for construction planning and resource utilization
    Wang, H. J. [2004]
  • 4D dynamic construction management and visualization software: 2. Site trial
    Chau, K. W. [2005]