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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).

Chiang, Y H, Li, V J, Zhou, L, Wong, F and Lam, P (2016) Evaluating Sustainable Building-Maintenance Projects: Balancing Economic, Social, and Environmental Impacts in the Case of Hong Kong. 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).

Hasan, A and Jha, K N (2016) Acceptance of the Incentive/Disincentive Contracting Strategy in Developing Construction Markets: Empirical Study from India. 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).

Hyari, K H (2016) Handling Unbalanced Bidding in Construction Projects: Prevention Rather Than Detection. 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).

  • Type: Journal Article
  • Keywords: Construction industry; Commitment; Cost estimation; Stress; Performance; Organizational issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001059
  • Abstract:
    Cost-estimation participants play an essential role in the success of construction projects, as well as determining the profit margin of an organization. However, these participants must always work to rigid and urgent deadlines, putting them in stressful situations. Such a stressful environment influences estimation participants’ perceptions of the project and organization, which ultimately affect their performance. This study sets out to investigate the complicated relationships between stress, commitment, and performance for construction estimation participants through a questionnaire survey. A reliability test, correlation analyses, and regression modeling were applied to analyze the data collected from 101 construction estimation participants. The results indicate the impact of stress on both commitment and performance: (1) objective stress influences career commitment via an inverted U-shaped relationship; (2) subjective stress is linearly related to both career and continuance commitment; and (3) subjective stress also directly influences ineffective working processes through a U-shaped relationship. Other results show a separate and direct impact of the three types of commitment on different kinds of estimation performance: (1) affective commitment reduces ineffective working process; (2) continuance commitment exerts positive impact on organizational nonbelongingness; and (3) career commitment improves estimation accuracy. To optimize the performance of estimation participants, organizations are encouraged to monitor their abilities and arrange their workload accordingly, provide suitable support and assistance, and help staff formulate a long-term career development plan.

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).

Liu, Y and Yeh, I (2016) Building Valuation Model of Enterprise Values for Construction Enterprise with Quantile Neural Networks. Journal of Construction Engineering and Management, 142(02).

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).

Said, H (2016) Modeling and Likelihood Prediction of Prefabrication Feasibility for Electrical Construction Firms. 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).

Tymvios, N and Gambatese, J A (2016) Perceptions about Design for Construction Worker Safety: Viewpoints from Contractors, Designers, and University Facility Owners. Journal of Construction Engineering and Management, 142(02).