Abstracts – Browse Results

Search or browse again.

Click on the titles below to expand the information about each abstract.
Viewing 20 results ...

Agyekum-Mensah, G, Reid, A and Temitope, T A (2020) Methodological Pluralism: Investigation into Construction Engineering and Management Research Methods. Journal of Construction Engineering and Management, 146(03).

Ayhan, B U and Tokdemir, O B (2020) Accident Analysis for Construction Safety Using Latent Class Clustering and Artificial Neural Networks. Journal of Construction Engineering and Management, 146(03).

Bowen, P and Zhang, R P (2020) Cross-Boundary Contact, Work-Family Conflict, Antecedents, and Consequences: Testing an Integrated Model for Construction Professionals. Journal of Construction Engineering and Management, 146(03).

Chan, A P C, Nwaogu, J M and Naslund, J A (2020) Mental Ill-Health Risk Factors in the Construction Industry: Systematic Review. Journal of Construction Engineering and Management, 146(03).

Collinge, W (2020) Stakeholder Engagement in Construction: Exploring Corporate Social Responsibility, Ethical Behaviors, and Practices. Journal of Construction Engineering and Management, 146(03).

Dutta, A, Breloff, S P, Dai, F, Sinsel, E W, Warren, C M and Wu, J Z (2020) Identifying Potentially Risky Phases Leading to Knee Musculoskeletal Disorders during Shingle Installation Operations. Journal of Construction Engineering and Management, 146(03).

Farahani, A, Wallbaum, H and Dalenbäck, J (2020) Cost-Optimal Maintenance and Renovation Planning in Multifamily Buildings with Annual Budget Constraints. Journal of Construction Engineering and Management, 146(03).

Gao, Y, González, V A and Yiu, T W (2020) Exploring the Relationship between Construction Workers’ Personality Traits and Safety Behavior. Journal of Construction Engineering and Management, 146(03).

Gunduz, M and Elsherbeny, H A (2020) Operational Framework for Managing Construction-Contract Administration Practitioners’ Perspective through Modified Delphi Method. Journal of Construction Engineering and Management, 146(03).

Gurmu, A T and Ongkowijoyo, C S (2020) Predicting Construction Labor Productivity Based on Implementation Levels of Human Resource Management Practices. Journal of Construction Engineering and Management, 146(03).

Haj Seiyed Taghia, S A, Darvishvand, H R and Ebrahimi, M (2020) Economic Analyses for Low-Strength Concrete Wrapped with CFRP to Improve the Mechanical Properties and Seismic Parameters. Journal of Construction Engineering and Management, 146(03).

Ho Song, M and Fischer, M (2020) Empirical Determination of the Smallest Batch Sizes for Daily Planning. Journal of Construction Engineering and Management, 146(03).

Ji, Y and Leite, F (2020) Optimized Planning Approach for Multiple Tower Cranes and Material Supply Points Using Mixed-Integer Programming. Journal of Construction Engineering and Management, 146(03).

Lee, C, Chong, H, Li, Q and Wang, X (2020) Joint Contract–Function Effects on BIM-Enabled EPC Project Performance. Journal of Construction Engineering and Management, 146(03).

Lee, Y Y R, Samad, H and Miang Goh, Y (2020) Perceived Importance of Authentic Learning Factors in Designing Construction Safety Simulation Game-Based Assignment: Random Forest Approach. Journal of Construction Engineering and Management, 146(03).

Lijauco, F, Gajendran, T, Brewer, G and Rasoolimanesh, S M (2020) Impacts of Culture on Innovation Propensity in Small to Medium Enterprises in Construction. Journal of Construction Engineering and Management, 146(03).

  • Type: Journal Article
  • Keywords: Organizational culture; Innovation; Small to medium enterprises (SMEs);
  • ISBN/ISSN: 0733-9364
  • URL: https://doi.org/10.1061/(ASCE)CO.1943-7862.0001753
  • Abstract:
    Research suggests that the cultural context in which a business operates influences the level of innovation. However, research on the links between cultural factors and innovation in construction remains limited. The aim is to examine the underlying relationships between cultural factors and innovation propensity in small to medium enterprises (SMEs) in the construction sector. Innovation propensity is the degree to which an organization is inclined to achieve a state of innovativeness by design. In contrast, cultural factors manifest through the beliefs and values related to the various organizational aspects. The theoretical model and, subsequently, the survey instrument were developed from a review of the literature. The model was tested using survey data from SMEs in a regional area of Australia. The partial least squares-structural equation modeling (PLS-SEM) technique was employed to test the model. The results suggest that cultural factors account for 41% of the variance in innovation propensity. Specifically, market orientation focused on dealing with competitors had the strongest influence on innovation propensity. Other factors include business relationships based on trust and workforce capacity acquired through regular technology development for solving problems. However, the role of leadership, especially concerning championing projects, does not have a statistically significant impact on innovation propensity. A large proportion of construction SMEs, specifically in regional areas, will have a relatively small number of employees (up to four) and a flat organizational structure that reflects a short-term business orientation. In this context, the cultural notion of leadership does not have a significant direct relationship on innovation propensity. Therefore, policies encouraging market orientation, building relationship networks, and expanding workforce capabilities might be more effective in improving innovation propensity in construction SMEs than policies directly and solely focused on developing leadership skills.

Lyu, H, Sun, W, Shen, S and Zhou, A (2020) Risk Assessment Using a New Consulting Process in Fuzzy AHP. Journal of Construction Engineering and Management, 146(03).

Mansouri, S, Castronovo, F and Akhavian, R (2020) Analysis of the Synergistic Effect of Data Analytics and Technology Trends in the AEC/FM Industry. Journal of Construction Engineering and Management, 146(03).

Shiha, A, Dorra, E M and Nassar, K (2020) Neural Networks Model for Prediction of Construction Material Prices in Egypt Using Macroeconomic Indicators. Journal of Construction Engineering and Management, 146(03).

Votto, R, Lee Ho, L and Berssaneti, F (2020) Applying and Assessing Performance of Earned Duration Management Control Charts for EPC Project Duration Monitoring. Journal of Construction Engineering and Management, 146(03).