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Asmar, M E, Hanna, A S and Whited, G C (2011) New Approach to Developing Conceptual Cost Estimates for Highway Projects. Journal of Construction Engineering and Management, 137(11), 942–9.

Bogus, S M, Diekmann, J E, Molenaar, K R, Harper, C, Patil, S and Lee, J S (2011) Simulation of Overlapping Design Activities in Concurrent Engineering. Journal of Construction Engineering and Management, 137(11), 950–7.

Cass, D and Mukherjee, A (2011) Calculation of Greenhouse Gas Emissions for Highway Construction Operations by Using a Hybrid Life-Cycle Assessment Approach: Case Study for Pavement Operations. Journal of Construction Engineering and Management, 137(11), 1015–25.

Cheng, Y, Yu, C and Wang, H (2011) . Journal of Construction Engineering and Management, 137(11), 933–41.

Hallowell, M R and Calhoun, M E (2011) Interrelationships among Highly Effective Construction Injury Prevention Strategies. Journal of Construction Engineering and Management, 137(11), 985–93.

Jin, X (2011) Model for Efficient Risk Allocation in Privately Financed Public Infrastructure Projects Using Neuro-Fuzzy Techniques. Journal of Construction Engineering and Management, 137(11), 1003–14.

Kim, B and Reinschmidt, K F (2011) Combination of Project Cost Forecasts in Earned Value Management. Journal of Construction Engineering and Management, 137(11), 958–66.

Marques, R C and Berg, S (2011) Risks, Contracts, and Private-Sector Participation in Infrastructure. Journal of Construction Engineering and Management, 137(11), 925–32.

Song, Y and Chua, D K H (2011) Requirement and Availability Time-Window Analysis of Intermediate Function. Journal of Construction Engineering and Management, 137(11), 967–75.

Unsal, H I and Taylor, J E (2011) Absorptive Capacity of Project Networks. Journal of Construction Engineering and Management, 137(11), 994–1002.

  • Type: Journal Article
  • Keywords: Innovation; Productivity; Networks; Project management; Organizations; Absorptive capacity; Innovation; Learning; Organizational issues; Productivity; Project networks;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0000361
  • Abstract:
    Absorptive capacity is a firm’s ability to value, assimilate, and utilize new external knowledge and apply it to commercial ends. Much of the prior research on absorptive capacity focuses on characterizing the factors that influence absorptive capacity within organizations. However, the mechanism of how related factors affect absorptive capacity across interdependent organizations in project networks remains less explored. This paper extends a simulation model of project network learning to explore the absorptive capacity of project networks where periodic external innovations exist. This model is utilized in a series of simulation experiments to untangle the effects of varying types of innovation and degrees of relational instability in a project network. We establish a measure of project network absorptive capacity and develop an argument that relational instability moderates the project network’s absorptive capacity for different types of innovation. These findings have significant implications for assessing and developing strategies to improve a project organizational network’s capacity to absorb and, hence, profit from innovation.

Young, D A, Haas, C T, Goodrum, P and Caldas, C (2011) Improving Construction Supply Network Visibility by Using Automated Materials Locating and Tracking Technology. Journal of Construction Engineering and Management, 137(11), 976–84.