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Abuwarda, Z and Hegazy, T (2016) Flexible Activity Relations to Support Optimum Schedule Acceleration. Journal of Construction Engineering and Management, 142(11).

Bayram, S and Al-Jibouri, S (2016) Efficacy of Estimation Methods in Forecasting Building Projects’ Costs. Journal of Construction Engineering and Management, 142(11).

Brockmann, C, Brezinski, H and Erbe, A (2016) Innovation in Construction Megaprojects. Journal of Construction Engineering and Management, 142(11).

Carretero-Ayuso, M J, García-Sanz-Calcedo, J and Reyes-Rodríguez, A M (2016) Qualitative and Quantitative Analyses on Project Deficiencies in Flat-Roof Design in Extremadura, Spain. Journal of Construction Engineering and Management, 142(11).

Chancellor, W and Lu, W (2016) A Regional and Provincial Productivity Analysis of the Chinese Construction Industry: 1995 to 2012. Journal of Construction Engineering and Management, 142(11).

Gardner, B J, Gransberg, D D and Jeong, H D (2016) Reducing Data-Collection Efforts for Conceptual Cost Estimating at a Highway Agency. Journal of Construction Engineering and Management, 142(11).

Gosling, J, Pero, M, Schoenwitz, M, Towill, D and Cigolini, R (2016) Defining and Categorizing Modules in Building Projects: An International Perspective. Journal of Construction Engineering and Management, 142(11).

Lee, J (2016) Estimating Cumulative Damages due to Disruptions in Repetitive Construction. Journal of Construction Engineering and Management, 142(11).

Lee, Y, Kim, J and Lee, T S (2016) Topological Competiveness Based on Social Relationships in the Korean Construction-Management Industry. Journal of Construction Engineering and Management, 142(11).

  • Type: Journal Article
  • Keywords: Construction industry; Construction management; Social network analysis; Topological competitiveness; Organizational issues;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001175
  • Abstract:
    A recent study reported that the construction management market has grown more competitive. In this environment, identifying a company’s competitive position enables a study of competitor strategies and the ability to select the most suitable path to profitability. This study suggests a methodology to analyze topological competiveness based on social relationships between firms modeled according to four subnetworks: Joint contract networks linked directly between firms, public and private networks linked indirectly by owners, and building and civil networks linked indirectly by work type. This study proposes an analytical framework measuring topological competiveness from four perspectives: The network topology among each subnetwork, centralities and structural positions among the firms, cohesive subgroups and strong relations in the subnetwork, and the structural equivalence among firms. Using 2,984 cases of Korean construction management projects from 1997 to 2013, an empirical analysis of topological competiveness validated the methodology to diagnose competitiveness and select the most suitable relationships with competitors to create company growth.

Liang, C, Lu, W, Rowlinson, S and Zhang, X (2016) Development of a Multifunctional BIM Maturity Model. Journal of Construction Engineering and Management, 142(11).

Love, P E D and Smith, J (2016) Toward Error Management in Construction: Moving beyond a Zero Vision. Journal of Construction Engineering and Management, 142(11).

Lv, X and El-Gohary, N M (2016) Discovering Context-Specific Integration Practices for Integrating NEPA into Statewide and Metropolitan Project Planning Processes. Journal of Construction Engineering and Management, 142(11).

O’Connor, J T, Choi, J O and Winkler, M (2016) Critical Success Factors for Commissioning and Start-Up of Capital Projects. Journal of Construction Engineering and Management, 142(11).

Rodríguez-Garzón, I, Martínez-Fiestas, M, Delgado-Padial, A and Lucas-Ruiz, V (2016) An Exploratory Analysis of Perceived Risk among Construction Workers in Three Spanish-Speaking Countries. Journal of Construction Engineering and Management, 142(11).

Seo, J, Lee, S and Seo, J (2016) Simulation-Based Assessment of Workers’ Muscle Fatigue and Its Impact on Construction Operations. Journal of Construction Engineering and Management, 142(11).

Zhou, H W, Zhou, Y H and Zhao, C J (2016) Fault-Response Mechanism of Production System in Concrete-Dam-Construction Simulation. Journal of Construction Engineering and Management, 142(11).