Exploring the link between early constructor involvement in project decision-making and the efficacy of health and safety risk control

The position of the constructor in communication networks, including those before the commencement of construction, is likely related to the quality of work health and safety (WHS) outcomes realized. In order to examine the extent of this relationship, 23 cases were drawn from 10 participating construction projects in Australia and New Zealand. Social network analysis was used to mathematically and graphically model information exchanges in 13 of these cases. For each case, the quality of WHS risk control outcomes was measured. This measurement was based on an established ‘hierarchy of control’ in which risk controls are classified in descending order of effectiveness from the elimination of a hazard (the most effective) to the reliance on personal protective equipment (the least effective). Social network metrics were calculated reflecting: (1) the ratio of actual links among parties in the project network relative to the maximum number of links possible (network density); and (2) the extent to which the constructor communicated with other parties in pre-project planning and design stages (the constructors’ degree centrality). Network metrics were compared for cases in which the risk control scores were higher and lower than average. The results showed a significant difference in constructors’ pre-construction degree centrality for cases with high and low risk control scores. The results provide preliminary evidence as to the potential WHS benefits of ensuring that constructors’ knowledge about construction methods, materials, WHS risks and means of risk control, are integrated into pre-construction decision-making.

[1]  A. Roy Duff,et al.  Development of Causal Model of Construction Accident Causation , 2001 .

[2]  David A. Lombardi,et al.  Factors influencing worker use of personal protective eyewear. , 2009, Accident; analysis and prevention.

[3]  Andrew Stranieri,et al.  ToolSHeDTM: The development and evaluation of a decision support tool for health and safety in construction design , 2008 .

[4]  Stephen Pryke,et al.  Network gaps and project success , 2010 .

[5]  Lianying Zhang,et al.  Sharing Tacit Knowledge for Integrated Project Team Flexibility: Case Study of Integrated Project Delivery , 2013 .

[6]  Andrew D.F. Price,et al.  The effect of integration on project delivery team effectiveness , 2011 .

[7]  Paul Chinowsky,et al.  Project Organizations as Social Networks , 2010 .

[8]  Andrew R.J. Dainty,et al.  The extent of team integration within construction projects , 2006 .

[9]  Chris Harty,et al.  Actors and objects: a socio‐technical networks approach to technology uptake in the construction sector , 2010 .

[10]  Helen Lingard,et al.  "If you cannot measure it, you cannot improve it": Measuring health and safety performance in the construction industry , 2013 .

[11]  Chris Harty,et al.  Implementing innovation in construction: contexts, relative boundedness and actor‐network theory , 2008 .

[12]  Martin G. Everett,et al.  A Graph-theoretic perspective on centrality , 2006, Soc. Networks.

[13]  Burcin Becerik-Gerber,et al.  Understanding Construction Industry Experience and Attitudes toward Integrated Project Delivery , 2010 .

[14]  J. K. Yates,et al.  Master Builder Project Delivery System and Designer Construction Knowledge , 2003 .

[15]  A R Duff,et al.  Contributing factors in construction accidents. , 2005, Applied ergonomics.

[16]  Stephen Pryke,et al.  Analysing construction project coalitions: exploring the application of social network analysis , 2004 .

[17]  Yasser Mohamed,et al.  Early Contractor Involvement in Design and Its Impact on Construction Schedule Performance , 2009 .

[18]  K. Eisenhardt Building theories from case study research , 1989, STUDI ORGANIZZATIVI.

[19]  A. Roy Duff,et al.  Exploring the integration of health and safety with pre-construction planning , 2006 .

[20]  J. D. de Winter Using the Student ’ s t-test with extremely small sample sizes , 2013 .

[21]  Bryan Franz,et al.  Project Impacts of Specialty Mechanical Contractor Design Involvement in the Health Care Industry: Comparative Case Study , 2013 .

[22]  J. Morland,et al.  A Case for the Case Study , 1991 .

[23]  F. A. Manuele Achieving Risk Reduction, Effectively , 2006 .

[24]  Andrew D.F. Price,et al.  Knowledge integration process in construction projects: a social network analysis approach to compare competitive and collaborative working , 2011 .

[25]  Alexander Styhre,et al.  Managing knowledge in platforms: boundary objects and stocks and flows of knowledge , 2010 .

[26]  E. Hollnagel,et al.  What-You-Look-For-Is-What-You-Find - The consequences of underlying accident models in eight accident investigation manuals , 2009 .

[27]  Andrew Hopkins,et al.  What are we to make of safe behaviour programs , 2006 .

[28]  Paul Chinowsky,et al.  Social Network Model of Construction , 2008 .

[29]  Stanley Wasserman,et al.  Social Network Analysis: Methods and Applications , 1994, Structural analysis in the social sciences.

[30]  Rachel O’Hara,et al.  HSL/2005/36 Literature review on the reporting of workplace injury trends , 2005 .

[31]  Michael Behm,et al.  Linking construction fatalities to the design for construction safety concept , 2005 .

[32]  Matthew R. Hallowell,et al.  Measuring and modelling safety communication in small work crews in the US using social network analysis , 2013 .

[33]  Peter E.D. Love,et al.  Concurrent engineering : a strategy for procuring construction projects , 1998 .

[34]  S. Pryke Towards a social network theory of project governance , 2005 .

[35]  Andrew R. Atkinson,et al.  The relationship between integrated design and construction and safety on construction projects , 2010 .

[36]  D. Proverbs,et al.  Factors influencing the culture of a construction project organisation: An empirical investigation , 2009 .

[37]  M. Bresnen,et al.  Partnering in construction: a critical review of issues, problems and dilemmas , 2000 .