Research on the Key to a Successful Construction Special Project-Factor Analysis and Multiple Regressions

Abstract:

Risks and variables are frequently encountered when executing special projects. If these risks are handled effectively and the variables are controlled with definite and effective manners, the probability of success is enhanced. This study aims to explore and analyze these critical elements and find out the influential factors to success. Findings reveal that at the planning stage of the special project, cost-estimation is deemed the most important element by the overall interviewees; meanwhile, at the stage of deployment, construction costs and administrative management have positive effects on the overall satisfaction level, nevertheless, control-and-guarantee has a negative effective on the overall satisfaction.

• Periodical: Advanced Materials Research (Volumes 1006-1007)
• Pages: 1139-1142
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.1006-1007.1139
• Online since: August 2014
• Authors: Tung Tsan Chen, Cheng Shih Lin*
• Keywords: Factor Analysis (FA), Key to Success, Multiple Regression Analysis, Special Project Management

References

[1] Chua, D. K. H., Kog, Y. C., Loh, B. K. (1999). Critical success factors for different project objectives., Journal of Construction Engineering &Management, Vol. 125, Issue 3, pp.142-150.

DOI: 10.1061/(asce)0733-9364(1999)125:3(142)

[2] Chan, A. P. C., Scott, D., Lam, E. W. M. (2002). Framework of Success Criteria for Design/Build Projects., Journal of Management in Engineering, Vol. 18, Issue 3, pp.120-128.

DOI: 10.1061/(asce)0742-597x(2002)18:3(120)

[3] Fowler FJ. Survey research methods (2nded. ). International Educational and Professional Publisher; Newbury Park, London, UK, (1993).

[4] Gay, L. R., Educational research: Competencies for analysis and application, Merrill, Prentice-Hall, Englewood Cliffs, NJ. (1996).

[5] International Project Management Body of Knowledge, IPMA, IPMBOK, Taiwan Special Project Management Association, Kaohsiung.

[6] Kaiser, H. F., (1974). An index of factorial simplicity., Psychometrika, Vol. 39, pp.31-36.

[7] Liu, F.S. Introduction of Construction Management, Chan's Arch-Publishing Co. Taipei, (2003).

[8] Norman, Geoff (2010). Likert scales, levels of measurement and the "laws" of statistics.

[9] Advances in Health Science Education. Vol 15(5) pp.625-632.

[10] Norusis M. J., SPSS 10. 0 guide to data analysis. USA: Prentice Hall; (2000).

[11] Sharma, S., Applied multivariate techniques. New York: Wiley. (1995).