The relative impacts of selected practices on project cost and schedule

Construction Management and Economics

Volumn 23, Issue 5, 2005, Pages 545-553

  Lee, Sang Hoon ^a   Thomas, Stephen R ^b   Tucker, Richard L ^c  

^a UNIVERSITY OF HOUSTON   (United States)

^b UNIVERSITY OF TEXAS AT AUSTIN   (United States)

^c The University of Texas at Austin   (United States)

Author keywords

Cost; Discriminant function analysis; Practices; Relative importance; Schedule

Indexed keywords

CONSTRUCTION INDUSTRY; COSTS; FUNCTION EVALUATION; MATHEMATICAL MODELS; SCHEDULING;

INDEX CATEGORIZATION; MULTIPLE DISCRIPTIVE DISCRIMINANT ANALYSIS; PERFORMANCE GROUP; ZERO ACCIDENT TECHNIQUES;

PERFORMANCE;

COST; PROJECT ASSESSMENT;

EID: 22144498504     PISSN: 01446193     EISSN: None     Source Type: Journal    
DOI: 10.1080/01446190500040232     Document Type: Article

References (21)

1. Albanese, R. (1993) Team Building: Implications for the design/ construction process, SD 87 (February), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
2. Chua, D., Kog, Y. and Loh, P. (1999) Critical success factors for different project objectives. Journal of Construction Engineering and Management, 125(3), 142-50.
3. Construction Industry Institute (CII) (1986) Constructability: A Primer, Publication 3-1 (July), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
4. Construction Industry Institute (CII) (1993) Zero Injury Techniques, Publication 32-1 (May), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
5. Construction Industry Institute (CII) (1994) Project Change Management, Special Publication 43-1 (November), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
6. Construction Industry Institute (CII) (1998) Benchmarking and Metrics Data Report for 1997, BMM97-2 (February), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
7. Construction Industry Institute (CII) (1999) Benchmarking and Metrics Value of Best Practices Report, BMM99-3 (July), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
8. Construction Industry Institute (CII) (2000) Benchmarking and Metrics Data Report for 2000, BMM2000-2 (August), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
9. Construction Industry Institute (CII) (2001) Benchmarking and Metrics Data Report for 2001, BMM2001-1 (August), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
10. Construction Industry Institute (CII) (2002) Implementation of CII Best Practices, Implementation Resource 166-3 (July), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
11. Gibson, G.E. and Hamilton, M.R. (1994) Analysis of pre-project planning effort and success variables for capital facility projects, SD 105 (November), Construction Industry Institute, The University of Texas at Austin, Austin, TX.
12. Hudson, D.N. (1997) Benchmarking construction project execution, PhD dissertation, The University of Texas at Austin, Austin, TX.
13. Jaselskis, E. and Ashley, D. (199 1) Optimal allocation of project management resources for achieving success. Journal of Construction Engineering and Management, 117(2), 321-40.
14. Kaming, P., Olomolaiye, P. and Holt, G. (1997) Factors influencing construction time and cost overruns on high-rise projects in Indonesia. Construction Management and Economics, 15, 83-94.
15. Kim, J.-C., Kim, D.-H., Kim, J.-J., Ye, J.-S. and Lee, H.-S. (2000) Segmenting the Korean housing market using multiple discriminant analysis. Construction Management and Economics, 18, 45-54.
16. Lee, S. (2001) Discriminant function analysis for categorization of best practices, PhD dissertation, The University of Texas at Austin, Austin, TX.
17. Morrow, T.K. (1998) Effects of selected practices on project cost performance, PhD dissertation, The University of Texas at Austin, Austin, TX.
18. Sharma, S. (1996) Applied Multivariate Techniques, John Wiley & Sons, Inc., New York.
19. Stevens, J. (1996) Applied Multivariate Statistics for the social sciences, Lawrence Erlbaum Associates, Inc., Mahwah, NJ.
20. Thomas, S.R. (1999) Impacts of Design/Information Technology on Project Outcomes, NIST GCR 99-786, National Institute of Standards and Technology, Gaithersburg, MD.
21. Thomas, S.R., Lee, S., Spencer, J.D., Tucker, R.L. and Chapman, R.E. (2004) Impacts of design/information technology on project outcomes. Journal of Construction Engineering and Management, 130(4), 586-97.