Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 22 results ...

Assad, A, Moselhi, O and Zayed, T (2021) Resilience-Driven Sustainability-Based Rehabilitation Planning for Water Distribution Networks. Journal of Construction Engineering and Management, 147(08).

Bademosi, F and Issa, R R A (2021) Factors Influencing Adoption and Integration of Construction Robotics and Automation Technology in the US. Journal of Construction Engineering and Management, 147(08).

Ballesteros-Pérez, P, Skitmore, M, Cerezo-Narváez, A, González-Cruz, M C, Pastor-Fernández, A and Otero-Mateo, M (2021) Standard Deviation of Bids for Construction Contract Auctions. Journal of Construction Engineering and Management, 147(08).

Clement, D, Aliabadi, A A, Mackey, J, Thé, J and Gharabaghi, B (2021) Dust Emissions Management Model for Construction Sites. Journal of Construction Engineering and Management, 147(08).

Duodu, B and Rowlinson, S (2021) Opening Up the Innovation Process in Construction Firms: External Knowledge Sources and Dual Innovation. Journal of Construction Engineering and Management, 147(08).

Dutta, A, Breloff, S P, Dai, F, Sinsel, E W, Warren, C M, Carey, R E and Wu, J Z (2021) Application of Data Fusion via Canonical Polyadic Decomposition in Risk Assessment of Musculoskeletal Disorders in Construction: Procedure and Stability Evaluation. Journal of Construction Engineering and Management, 147(08).

Eiris, R, Jain, E, Gheisari, M and Wehle, A (2021) Online Hazard Recognition Training: Comparative Case Study of Static Images, Cinemagraphs, and Videos. Journal of Construction Engineering and Management, 147(08).

Genc, O (2021) SymbioConstruction: A Bibliography-Driven Dynamic Construction Industry Symbiosis Database. Journal of Construction Engineering and Management, 147(08).

Han, Y, Li, Y, Rao, P and Taylor, J E (2021) Global Collaborative Network of Skyscraper Projects from 1990 to 2010: Temporal Evolution and Spatial Characteristics. Journal of Construction Engineering and Management, 147(08).

Hu, Y, Castro-Lacouture, D, Eastman, C M and Navathe, S B (2021) Component Change List Prediction for BIM-Based Clash Resolution from a Graph Perspective. Journal of Construction Engineering and Management, 147(08).

Huang, Y, Trinh, M T and Le, T (2021) Critical Factors Affecting Intention of Use of Augmented Hearing Protection Technology in Construction. Journal of Construction Engineering and Management, 147(08).

Kammouh, O, Nogal, M, Binnekamp, R and Wolfert, A R M ( (2021) Mitigation Controller: Adaptive Simulation Approach for Planning Control Measures in Large Construction Projects. Journal of Construction Engineering and Management, 147(08).

Kazar, G and Comu, S (2021) Effectiveness of Serious Games for Safety Training: A Mixed Method Study. Journal of Construction Engineering and Management, 147(08).

Liu, Y, Habibnezhad, M, Shayesteh, S, Jebelli, H and Lee, S (2021) Paving the Way for Future EEG Studies in Construction: Dependent Component Analysis for Automatic Ocular Artifact Removal from Brainwave Signals. Journal of Construction Engineering and Management, 147(08).

Naumets, S and Lu, M (2021) Investigation into Explainable Regression Trees for Construction Engineering Applications. Journal of Construction Engineering and Management, 147(08).

Ragab, M A and Marzouk, M (2021) BIM Adoption in Construction Contracts: Content Analysis Approach. Journal of Construction Engineering and Management, 147(08).

Sherman, R, Gibson, G E, Merrow, E and Parrish, K (2021) Examining the Impact of Rate-of-Return Regulation on Capital Project Planning. Journal of Construction Engineering and Management, 147(08).

Tetteh, M O, Chan, A P C, Darko, A, Torku, A and Nani, G (2021) Critical Barriers to International Construction Joint Ventures Success: Multiexpert Views and Contextual Disparities. Journal of Construction Engineering and Management, 147(08).

Wang, Y, Shao, Z and Tiong, R L K (2021) Data-Driven Prediction of Contract Failure of Public-Private Partnership Projects. Journal of Construction Engineering and Management, 147(08).

Yevu, S K, Yu, A T W, Darko, A and Addy, M N (2021) Evaluation Model for Influences of Driving Forces for Electronic Procurement Systems Application in Ghanaian Construction Projects. Journal of Construction Engineering and Management, 147(08).

  • Type: Journal Article
  • Keywords: Electronic procurement; Information systems; Fuzzy sets; Driving forces (DFs); Construction;
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002107
  • Abstract:
    Recent recognition for increased digitization of construction processes presents an important need to accelerate electronic procurement systems (EPS) application on projects. The EPS uptake rate in construction is relatively low, and the decision process required to increase the uptake is complex due to the influences of several competing driving forces (DFs). Previous studies identified individual DFs based on experts’ qualitative judgements and knowledge, which are subjective and lack the inherent clustering influences of DFs on EPS application. This study developed a fuzzy-based evaluation model for assessing DFs influences on EPS application in construction projects. The model transforms qualitative judgments into quantitative and more-usable assessments using fuzzy sets for effective long-term planning and consistent implementation decisions. A data set of 121 expert responses, resulting in 6 clusters of DFs, was applied to fuzzy logic to develop the DFs influence evaluation model. The integrity and environment-related forces and process optimization–related forces were the top two DFs clusters influencing EPS uptake. The remaining four clusters had significant influences, resulting in an overall high influence threshold. This implies that significant influence levels of the DFs clusters are required to accelerate EPS uptake on projects. This study contributes to knowledge by developing an influence model integrating subjective expressions to indicate EPS uptake within a project’s environment. The model’s flexibility helps to assess influences based on a decision maker’s situation.

Zhang, J, Wang, T and Zhang, L (2021) Legal Risk Assessment Framework for International PPP Projects Based on Metanetwork. Journal of Construction Engineering and Management, 147(08).

Zhao, D, Simmons, D and Chen, Z (2021) Interconnectivity in Collaboration Networks Impact on Member Belongingness. Journal of Construction Engineering and Management, 147(08).