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Abouhamad, M and Zayed, T (2019) Risk-Based Asset Management Framework for Subway Systems. Journal of Construction Engineering and Management, 145(11).
Ahn, C R, Lee, S, Sun, C, Jebelli, H, Yang, K and Choi, B (2019) Wearable Sensing Technology Applications in Construction Safety and Health. Journal of Construction Engineering and Management, 145(11).
Alruwaythi, O and Goodrum, P (2019) A Difference in Perspective: Impact of Different Formats of Engineering Information and Spatial Cognition on Craft-Worker Eye-Gaze Patterns. Journal of Construction Engineering and Management, 145(11).
Cheng, M, Chang, Y and Korir, D (2019) Novel Approach to Estimating Schedule to Completion in Construction Projects Using Sequence and Nonsequence Learning. Journal of Construction Engineering and Management, 145(11).
Demirel, H &, Volker, L, Leendertse, W and Hertogh, M (2019) Dealing with Contract Variations in PPPs: Social Mechanisms and Contract Management in Infrastructure Projects. Journal of Construction Engineering and Management, 145(11).
Esmaeeli, A N and Heravi, G (2019) Real Options Approach versus Conventional Approaches to Valuing Highway Projects under Uncertainty. Journal of Construction Engineering and Management, 145(11).
Feng, Y and Trinh, M T (2019) Developing Resilient Safety Culture for Construction Projects. Journal of Construction Engineering and Management, 145(11).
Franco-Duran, D M and Garza, J M d l (2019) Review of Resource-Constrained Scheduling Algorithms. Journal of Construction Engineering and Management, 145(11).
Hamzeh, F R, El Samad, G and Emdanat, S (2019) Advanced Metrics for Construction Planning. Journal of Construction Engineering and Management, 145(11).
Jang, Y, Jeong, I, Cho, Y K and Ahn, Y (2019) Predicting Business Failure of Construction Contractors Using Long Short-Term Memory Recurrent Neural Network. Journal of Construction Engineering and Management, 145(11).
Khalafallah, A and Shalaby, Y (2019) Change Orders: Automating Comparative Data Analysis and Controlling Impacts in Public Projects. Journal of Construction Engineering and Management, 145(11).
Li, K and Cheung, S O (2019) Unveiling Cognitive Biases in Construction Project Dispute Resolution through the Lenses of Third-Party Neutrals. Journal of Construction Engineering and Management, 145(11).
- Type: Journal Article
- Keywords: Cognitive biases; Construction project dispute resolution; Third-party neutrals; Minimizing measures;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001707
- Abstract:
Cognitive biases would jeopardize the quality of decisions, yet people are reluctant to admit to being affected. This study explores the types of cognitive bias that may have influences on construction project dispute resolution (CPDR) decisions. Effects of cognitive biases are first operationalized as biased behaviors. Third-party neutrals, including arbitrators, adjudicators, and mediators, were asked to report their observations of disputing parties’ biased practices. The use of third-party neutrals aims to improve the objectivity of the data on disputing parties’ biased behaviors. Principal component factor analysis (PCFA) on the collected responses suggested four types of cognitive bias: preconception, self-affirmation, optimism, and interest-oriented biases. Among these, interest-oriented bias was found to be the most prominent. This study contributes to CPDR management by proposing bias-minimizing measures. Fuzzy-set linguistic evaluations were employed to assess the usefulness of the measures in view of the nondiscrete nature of the assessments. The findings were further validated through semistructured interviews with experienced dispute management experts. The contributions of the study include: (1) raising the awareness of the potential types of cognitive bias that would affect decisions in CPDR, (2) enhancing the role of third-party neutrals in directing disputing parties away from influences of biases, (3) reminding disputing parties not to undervalue the proposals of the counterparts, and (4) improving dispute management by suggesting a review of all options available at each round of dispute negotiation. Having experienced third-party neutrals as respondents is also a major breakthrough in the study of behaviors of disputing parties. The findings are invaluable to construction professional communities in general and to disputing parties and third-party neutrals in particular.
Prakash, A and Phadtare, M (2019) Exploration of Logic in Project Marketing Using Interpretive Structural Modeling. Journal of Construction Engineering and Management, 145(11).