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Abdallah, M, El-Rayes, K and Liu, L (2016) Minimizing Upgrade Cost to Achieve LEED Certification for Existing Buildings. Journal of Construction Engineering and Management, 142(02).

Ahmed, M O, El-adaway, I H, Coatney, K T and Eid, M S (2016) Construction Bidding and the Winner’s Curse: Game Theory Approach. Journal of Construction Engineering and Management, 142(02).

Aljassmi, H, Han, S and Davis, S (2016) Analysis of the Complex Mechanisms of Defect Generation in Construction Projects. Journal of Construction Engineering and Management, 142(02).

AlMaian, R Y, Needy, K L, Walsh, K D and Alves, T d C L (2016) A qualitative data analysis for supplier quality-management practices for engineer-procure-construct projects. Journal of Construction Engineering and Management, 142(02), 04015061.

Arroyo, P, Tommelein, I D and Ballard, G (2016) Selecting Globally Sustainable Materials: A Case Study Using Choosing by Advantages. Journal of Construction Engineering and Management, 142(02).

Austin, R B, Pishdad-Bozorgi, P and de la Garza, J M (2016) Identifying and Prioritizing Best Practices to Achieve Flash Track Projects. Journal of Construction Engineering and Management, 142(02).

Baqerin, M H, Shafahi, Y and Kashani, H (2016) Application of Weibull Analysis to Evaluate and Forecast Schedule Performance in Repetitive Projects. Journal of Construction Engineering and Management, 142(02).

Chen, Q, Jin, Z, Xia, B, Wu, P and Skitmore, M (2016) Time and Cost Performance of Design–Build Projects. Journal of Construction Engineering and Management, 142(02).

Choi, K, Lee, H W, Mao, Z, Lavy, S and Ryoo, B Y (2016) Environmental, Economic, and Social Implications of Highway Concrete Rehabilitation Alternatives. Journal of Construction Engineering and Management, 142(02).

Dang, T and Bargstädt, H (2016) 4D Relationships: The Missing Link in 4D Scheduling. Journal of Construction Engineering and Management, 142(02).

De Marco, A, Rafele, C and Thaheem, M J (2016) Dynamic Management of Risk Contingency in Complex Design-Build Projects. Journal of Construction Engineering and Management, 142(02).

He, W, Tang, W, Wei, Y, Duffield, C F and Lei, Z (2016) Evaluation of Cooperation during Project Delivery: Empirical Study on the Hydropower Industry in Southwest China. Journal of Construction Engineering and Management, 142(02).

Jarkas, A M (2016) Effect of Buildability on Labor Productivity: A Practical Quantification Approach. Journal of Construction Engineering and Management, 142(02).

Jiang, H, Lin, P and Qiang, M (2016) Public-Opinion Sentiment Analysis for Large Hydro Projects. Journal of Construction Engineering and Management, 142(02).

Jin, R, Han, S, Hyun, C and Cha, Y (2016) Application of Case-Based Reasoning for Estimating Preliminary Duration of Building Projects. Journal of Construction Engineering and Management, 142(02).

Kim, T, Lee, H W and Hong, S (2016) Value Engineering for Roadway Expansion Project over Deep Thick Soft Soils. Journal of Construction Engineering and Management, 142(02).

Leung, M, Yu, J and Chong, M L A (2016) Effects of Stress and Commitment on the Performance of Construction Estimation Participants in Hong Kong. Journal of Construction Engineering and Management, 142(02).

Lim, T, Park, S, Lee, H and Lee, D (2016) Artificial Neural Network–Based Slip-Trip Classifier Using Smart Sensor for Construction Workplace. Journal of Construction Engineering and Management, 142(02).

Lines, B C, Sullivan, K T and Wiezel, A (2016) Support for Organizational Change: Change-Readiness Outcomes among AEC Project Teams. Journal of Construction Engineering and Management, 142(02).

Type: Journal Article
Keywords: Quantile regression analysis; Neural network; Construction enterprise; Enterprise value; Organizational issues;
ISBN/ISSN: 0733-9364
URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001060
Abstract:
This paper aims to overcome the drawbacks of current business valuation models. The authors have developed a novel model, a growth value model, by employing the income-asset-hybrid-based approach and with the application of quantile neural networks. This model is greatly strengthened by the main assumption of stockholders equity growth rates following the mean reversion principle. This makes the discounted present value of stockholders equity in the infinite future converge to a bounded value. The empirical findings have significant contributions to the business valuation of property development and construction industries. First, they include the business valuation model of the aforementioned two industries is quite different from those of other industries. The enterprise values of these two can be significantly overestimated if the business valuation model for total industry is applied. Second, they also include the patterns of price-to-book value ratio (PBR) curves that indicate that the growth value model is highly useful and effective in various industries only if the return on equity ratio (ROE) is larger than zero.

Oh, E H, Naderpajouh, N, Hastak, M and Gokhale, S (2016) Integration of the Construction Knowledge and Expertise in Front-End Planning. Journal of Construction Engineering and Management, 142(02).

Rafiei, M H and Adeli, H (2016) A Novel Machine Learning Model for Estimation of Sale Prices of Real Estate Units. Journal of Construction Engineering and Management, 142(02).

Seyis, S, Ergen, E and Pizzi, E (2016) Identification of Waste Types and Their Root Causes in Green-Building Project Delivery Process. Journal of Construction Engineering and Management, 142(02).

Shokri, S, Ahn, S, Lee, S, Haas, C T and Haas, R C G (2016) Current Status of Interface Management in Construction: Drivers and Effects of Systematic Interface Management. Journal of Construction Engineering and Management, 142(02).

Shokri, S, Haas, C T, G. Haas, R C and Lee, S H (2016) Interface-Management Process for Managing Risks in Complex Capital Projects. Journal of Construction Engineering and Management, 142(02).