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Abdul Nabi, M and El-adaway, I H (2022) A Proactive Risk Assessment Framework to Maximize Schedule Benefits of Modularization in Construction Projects. Journal of Construction Engineering and Management, 148(07).
Ahmad, R, Nauman, S and Malik, S Z (2022) Tyrannical Leader, Machiavellian Follower, Work Withdrawal, and Task Performance: Missing Links in Construction Projects. Journal of Construction Engineering and Management, 148(07).
Assaad, R H, El-adaway, I H, Hastak, M and LaScola Needy, K (2022) Quantification of the State of Practice of Offsite Construction and Related Technologies: Current Trends and Future Prospects. Journal of Construction Engineering and Management, 148(07).
Assaad, R H, El-adaway, I H, Hastak, M and LaScola Needy, K (2022) The Impact of Offsite Construction on the Workforce: Required Skillset and Prioritization of Training Needs. Journal of Construction Engineering and Management, 148(07).
Brandalise, F M P, Formoso, C T and Viana, D D (2022) Development of a Typology for Understanding Visual Management Concepts and Their Relationships. Journal of Construction Engineering and Management, 148(07).
Chen, L, Zhang, J and Peng, W (2022) Research on the Hierarchical Discrete Time-Cost Trade-Off Problem for Program. Journal of Construction Engineering and Management, 148(07).
Jayaraj, S, Doerfel, M L and Williams, T (2022) Clique to Win: Impact of Cliques, Competition, and Resources on Team Performance. Journal of Construction Engineering and Management, 148(07).
Khan, M, Khalid, R, Anjum, S, Tran, S V and Park, C (2022) Fall Prevention from Scaffolding Using Computer Vision and IoT-Based Monitoring. Journal of Construction Engineering and Management, 148(07).
Kim, S, Hwang, S and Son, J (2022) Safety Management Guidelines for Precast Concrete Production Plants Using Importance-Performance Analysis. Journal of Construction Engineering and Management, 148(07).
Li, Y and Ning, Y (2022) Mitigating Opportunistic Behaviors in Consulting Projects: Evidence from the Outsourced Architectural and Engineering Design. Journal of Construction Engineering and Management, 148(07).
Li, Y, Soomro, M A, Khan, A N, Han, Y and Xue, R (2022) Impact of Ethical Leadership on Employee Turnover Intentions in the Construction Industry. Journal of Construction Engineering and Management, 148(07).
Li, Y, Wang, J, Cao, L, Wei, D and Wang, Y (2022) Three-Step Mathematical Model for Optimizing Rebar Cutting-Stock with Practical Application. Journal of Construction Engineering and Management, 148(07).
Mahmoud, S, Hussein, M, Zayed, T and Fahmy, M (2022) Multiobjective Optimization Model for the Life Cycle Cost-Sustainability Trade-Off Problem of Building Upgrading Using a Generic Sustainability Assessment Tool. Journal of Construction Engineering and Management, 148(07).
Martínez Fernández, P, Villalba Sanchís, I, Insa Franco, R and Yepes, V (2022) Slab Track Optimization Using Metamodels to Improve Rail Construction Sustainability. Journal of Construction Engineering and Management, 148(07).
Mucheti, A S and Albuquerque, P J R d (2022) Influence of Execution Speed on Displacements of Soil-Nailed Structures with Vertical Face in Urban Areas. Journal of Construction Engineering and Management, 148(07).
Shi, M, Wang, J, Li, Q, Cui, B, Guan, S and Zeng, T (2022) Accelerated Earth-Rockfill Dam Compaction by Collaborative Operation of Unmanned Roller Fleet. Journal of Construction Engineering and Management, 148(07).
Shi, Q, Chen, X, Xiao, C and Han, Y (2022) Network Perspective in Megaproject Management: A Systematic Review. Journal of Construction Engineering and Management, 148(07).
Spearing, L A, Bakchan, A, Hamlet, L C, Stephens, K K, Kaminsky, J A and Faust, K M (2022) Comparing Qualitative Analysis Techniques for Construction Engineering and Management Research: The Case of Arctic Water Infrastructure. Journal of Construction Engineering and Management, 148(07).
- Type: Journal Article
- Keywords: Qualitative methods; Constant comparative analysis; Content analysis; Method comparison; Water infrastructure; Operations and maintenance;
- ISBN/ISSN: 0733-9364
- URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0002313
- Abstract:
Construction is a dynamic sociotechnical process, consisting of ongoing interdependencies between people and the built environment. Accordingly, finding solutions to construction challenges when they arise requires understanding the interactions between social and technical factors. Over the past three decades, qualitative methods have been increasingly applied in construction engineering and management (CEM) research to understand challenges within this industry. However, there remains a lack of resources in the CEM literature on qualitative method selection and implementation specifically applicable to this domain. Without such guidance, it can be challenging to choose the most appropriate research methods, which can limit theoretical and practical contributions. To begin to address this gap, this paper offers an overview and comparison of three qualitative data analysis techniques—ranging in their use of induction, prevalence in CEM research, and ability to answer different types of research questions. These analysis techniques are applied to the same semi-structured interview data drawn from a case study on water infrastructure in rural Alaska. Insights gained from each method are compared to illustrate the utility of each technique. To the authors’ knowledge, this study is the first qualitative method-comparison paper published for a CEM audience. Based on the comparison findings, choosing a deductive content analysis can allow for full characterization and quantification of a data set and discussion of results in relation to a predefined framework, such as a framework based on design and construction standards. A hybrid content analysis can expose new, detailed insights for an existing framework by allowing emergent themes to arise and be quantified. Conversely, a constant comparative analysis can reveal emergent trends and uncover the reasons why these trends occur based on connections between prominent themes, which can help CEM researchers develop new theories. Overall, this study helps advance the sociotechnical side of CEM research by enabling the discipline to better address the industry’s complex challenges.
Wang, X, Arditi, D and Ye, K (2022) Coupling Effects of Economic, Industrial, and Geographical Factors on Collusive Bidding Decisions. Journal of Construction Engineering and Management, 148(07).
Xiao, B, Wang, Y and Kang, S (2022) Deep Learning Image Captioning in Construction Management: A Feasibility Study. Journal of Construction Engineering and Management, 148(07).
Zhang, M and Ge, S (2022) Vision and Trajectory–Based Dynamic Collision Prewarning Mechanism for Tower Cranes. Journal of Construction Engineering and Management, 148(07).
Zhou, T, Zhu, Q, Shi, Y and Du, J (2022) Construction Robot Teleoperation Safeguard Based on Real-Time Human Hand Motion Prediction. Journal of Construction Engineering and Management, 148(07).