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Adesi, M, Owusu-Manu, D and Boateng, F (2019) Segmentation of quantity surveying professional services for focus strategy and diversification. Journal of Financial Management of Property and Construction , 24(03), 294–308.

Bayat, F, Noorzai, E and Golabchi, M (2019) Identifying the most important public–private partnership risks in Afghanistan’s infrastructure projects. Journal of Financial Management of Property and Construction , 24(03), 309–37.

Dithebe, K, Aigbavboa, C O, Thwala, W D and Oke, A E (2019) Factor analysis of critical success factors for water infrastructure projects delivered under public–private partnerships. Journal of Financial Management of Property and Construction , 24(03), 338–57.

Enshassi, A, Saleh, N and Mohamed, S (2019) Application level of lean construction techniques in reducing accidents in construction projects. Journal of Financial Management of Property and Construction , 24(03), 274–93.

Mollo, L G, Emuze, F and Smallwood, J (2019) Improving occupational health and safety (OHS) in construction using Training-Within-Industry method. Journal of Financial Management of Property and Construction , 24(03), 655–71.

Owusu-Manu, D, Jehuri, A B, Edwards, D J, Boateng, F and Asumadu, G (2019) The impact of infrastructure development on economic growth in sub-Saharan Africa with special focus on Ghana. Journal of Financial Management of Property and Construction , 24(03), 253–73.

Parchami Jalal, M and Shoar, S (2019) A hybrid framework to model factors affecting construction labour productivity. Journal of Financial Management of Property and Construction, 24(03), 630–54.

• Type: Journal Article
• Keywords: Decision theory; Risk assessment; Labour productivity; Construction/project management; Construction in developing countries; Construction productivity; Construction management; Risk analysis; System dynamics; Decision-making trial and evaluation laborato
• ISBN/ISSN: 1366-4387
• URL: https://doi.org/10.1108/JFMPC-10-2018-0061
• Abstract:
  This paper aims to model different causal relations among factors interacting with labour productivity in order to recognize the most important factors influencing and influenced by it.

  Top 60 factors affecting labour productivity were determined and grouped into 5 major groups by reviewing previous research and interviewing relevant experts. The interactions of factors were modelled using system dynamics (SD) approach. The resulting causal loop diagrams obtained from SD were then applied for identifying the most crucial factors influencing and influenced by labour productivity through the decision-making trial and evaluation laboratory (DEMATEL) method. The impact of factors on each other was finally determined based on the opinions of 63 experts selected from the Iranian construction industry.

  The results indicated that factors such as fatigue, lack of labour motivation and lack of skill are the most influencing, and factors such as schedule delay and inflation in the cost of execution are the most influenced by labour productivity. In the end, a set of recommendations to improve construction labour productivity was also presented.

  The main contribution of the study is proposing a novel method which is capable of providing insights into how causes and effects of construction labour productivity are interrelated. Furthermore, the proposed method makes this study distinct from previous research in the light of prioritizing factors and offering recommendations according to the interrelationships among factors.

Sharma, R K and Bakshi, A (2019) An evident prescience of determinants of dividend policy of Indian real estate companies. Journal of Financial Management of Property and Construction , 24(03), 358–84.