Abstracts – Browse Results
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Bobick, T G (2004) Falls through Roof and Floor Openings and Surfaces, Including Skylights: 1992–2000. Journal of Construction Engineering and Management, 130(06), 895–907.
Chan, S and Leung, N (2004) Prototype Web-Based Construction Project Management System. Journal of Construction Engineering and Management, 130(06), 935–43.
Cheah, C Y J, Garvin, M J and Miller, J B (2004) Empirical Study of Strategic Performance of Global Construction Firms. Journal of Construction Engineering and Management, 130(06), 808–17.
Cheng, E W L and Li, H (2004) Development of a Practical Model of Partnering for Construction Projects. Journal of Construction Engineering and Management, 130(06), 790–8.
Cheung, S O, Yiu, K T W and Suen, H (2004) Construction Negotiation Online. Journal of Construction Engineering and Management, 130(06), 844–52.
Chung, T H, Abraham, D M and Gokhale, S B (2004) Decision Support System for Microtunneling Applications. Journal of Construction Engineering and Management, 130(06), 835–43.
Fang, D, Fong, P S and Li, M (2004) Risk Assessment Model of Tendering for Chinese Building Projects. Journal of Construction Engineering and Management, 130(06), 862–8.
Fang, D, Li, M, Fong, P S and Shen, L (2004) Risks in Chinese Construction Market—Contractors’ Perspective. Journal of Construction Engineering and Management, 130(06), 853–61.
Hanna, A S, Camlic, R, Peterson, P A and Lee, M (2004) Cumulative Effect of Project Changes for Electrical and Mechanical Construction. Journal of Construction Engineering and Management, 130(06), 762–71.
Koksal, A and Arditi, D (2004) Predicting Construction Company Decline. Journal of Construction Engineering and Management, 130(06), 799–807.
- Type: Journal Article
- Keywords: Construction industry; Organization theory; Business administration; Bankruptcy; Predictions;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)0733-9364(2004)130:6(799)
- Abstract:
The main goal of this research is to develop a model that construction company executives can use to determine whether their company is healthy, whether decline is setting in, or whether decline has reached an advanced stage. The construction company decline model is a statistical model that was developed by making use of nonfinancial data collected from construction companies that have filed bankruptcy under Chapter 11 and construction companies that have been functioning without bankruptcy protection. The company profile survey provided information about 21 organizational, human capital, and strategic posture characteristics of construction companies. Factor analysis was used to reduce the number of variables. The factors obtained by performing factor analysis were regressed against decline ratings using multinomial logistic regression. The model allows a user to determine the condition of a company relative to decline. The model was validated by testing it using randomly selected data from the sample. The paper is of relevance to researchers because it contributes to the rather slim body of research in this area. It is of relevance to practitioners too as it provides them with an early warning tool that allows them to conduct a timely turnaround in case their company is in decline.
Lee, H, Yu, J and Kim, S (2004) Impact of Labor Factors on Workflow. Journal of Construction Engineering and Management, 130(06), 918–23.
Marzouk, M and Moselhi, O (2004) Fuzzy Clustering Model for Estimating Haulers’ Travel Time. Journal of Construction Engineering and Management, 130(06), 878–86.
Rowe, G M, Meegoda, J N, Jumikis, A, Sharrock, M J, Bandara, N and Hettiarachchi, C H (2004) NJTxtr—A Computer Program Based on LASER to Monitor Asphalt Segregation. Journal of Construction Engineering and Management, 130(06), 924–34.
Senouci, A B and Eldin, N N (2004) Use of Genetic Algorithms in Resource Scheduling of Construction Projects. Journal of Construction Engineering and Management, 130(06), 869–77.
Son, J and Mattila, K G (2004) Binary Resource Leveling Model: Activity Splitting Allowed. Journal of Construction Engineering and Management, 130(06), 887–94.
Tam, C M, Tong, T K L and Wong, Y W (2004) Selection of Concrete Pump Using the Superiority and Inferiority Ranking Method. Journal of Construction Engineering and Management, 130(06), 827–34.
Thomas, H R, Horman, M J and de Souza, U E L (2004) Symbiotic Crew Relationships and Labor Flow. Journal of Construction Engineering and Management, 130(06), 908–17.
Tsao, C C Y, Tommelein, I D, Swanlund, E S and Howell, G A (2004) Work Structuring to Achieve Integrated Product–Process Design. Journal of Construction Engineering and Management, 130(06), 780–9.
Walsh, K D, Hershauer, J C, Tommelein, I D and Walsh, T A (2004) Strategic Positioning of Inventory to Match Demand in a Capital Projects Supply Chain. Journal of Construction Engineering and Management, 130(06), 818–26.
Whalen, T M, Gopal, S and Abraham, D M (2004) Cost-Benefit Model for the Construction of Tornado Shelters. Journal of Construction Engineering and Management, 130(06), 772–9.