Safety Climate Assessment and Its Impact on the Productivity of Construction Enterprises
Research background: Problems related to the occupational health and decreasing level of safety occur commonly in the construction industry. Important factor in the occupational safety in construction industry is scaffold use. All scaffolds used in construction, renovation, and demolition shall be erected, dismantled and maintained in accordance with safety procedure. Increasing demand for new construction projects unfortunately still is linked to high level of occupational accidents. Therefore, it is crucial to implement concrete actions while dealing with scaffolds and risk assessment in construction industry, the way on doing assessment and liability of assessment is critical for both construction workers and regulatory framework. Unfortunately, professionals, who tend to rely heavily on their own experience and knowledge when taking decisions regarding risk assessment, may show lack of reliability in checking the results of decisions taken. Purpose of the article: The aim was to indicate crucial parameters that could be modeling with Risk Assessment Model (RAM) use for improving both building enterprise productivity and/or developing potential and safety climate. The developed RAM could be a benefit for predicting high-risk construction activities and thus preventing accidents occurred based on a set of historical accident data. Methodology/Methods: A RAM has been developed for assessing risk levels as various construction process stages with various work trades impacting different spheres of enterprise activity. This project includes research carried out by teams of researchers on over 60 construction sites in Poland and Portugal, under which over 450 individual research cycles were carried out. The conducted research trials included variable conditions of employee exposure to harmful physical and chemical factors, variable levels of stress of employees and differences in behaviors and habits of staff. Genetic modeling tool has been used for developing the RAM. Findings and value added: Common types of trades, accidents, and accident causes have been explored, in addition to suitable risk assessment methods and criteria. We have found that the initial worker stress level is more direct predictor for developing the unsafe chain leading to the accident rather than the workload, or concentration of harmful factors at the workplace or even training frequency and management involvement.
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 R. M. Choudhry, D. Fang, and S. Mohamed, “The nature of safety culture: A survey of the state-of-the-art,” Saf. Sci., vol. 45, no. 10, 2007.
 N. Turner and G. C. Gray, “Socially constructing safety,” Hum. Relations, vol. 62, no. 9, pp. 1259–1266, 2009.
 G. E. Gürcanli and U. Müngen, “An occupational safety risk analysis method at construction sites using fuzzy sets,” Int. J. Ind. Ergon., vol. 39, no. 2, 2009.
 M. Teimourikia and M. Fugini, “Ontology development for run-time safety management methodology in Smart Work Environments using ambient knowledge,” Futur. Gener. Comput. Syst., vol. 68, 2017.
 S. M. Conchie, “Transformational leadership, intrinsic motivation, and trust: A moderated-mediated model of workplace safety,” J. Occup. Health Psychol., vol. 18, no. 2, 2013.
 E. H. Schein, “Organizational Culture and Leadership,” Leadership, vol. 7, p. 437, 2004.
 R. M. Choudhry, D. Fang, and H. Lingard, “Measuring Safety Climate of a Construction Company,” J. Constr. Eng. Manag., vol. 135, no. 9, pp. 890–899, 2009.
 H.-C. Seo, Y.-S. Lee, J.-J. Kim, and N.-Y. Jee, “Analyzing safety behaviors of temporary construction workers using structural equation modeling,” Saf. Sci., vol. 77, 2015.
 N. Dedobbeleer and F. Béland, “A safety climate measure for construction sites,” J. Safety Res., vol. 22, no. 2, pp. 97–103, 1991.
 X. Wu, Q. Liu, L. Zhang, M. J. Skibniewski, and Y. Wang, “Prospective safety performance evaluation on construction sites,” Accid. Anal. Prev., vol. 78, pp. 58–72, 2015.
 M. Gillen, D. Baltz, M. Gassel, L. Kirsch, and D. Vaccaro, “Perceived safety climate, job demands, and coworker support among union and nonunion injured construction workers.,” J. Safety Res., vol. 33, no. 1, 2002.
 E. T. Błazik-Borowa et al., Bezpieczeństwo pracy w budownictwie. Lublin: Politechnika Lubelska, 2015.
 Eurostat, “EU Labour Force Survey Database User Guide,” 2015.
 F. J. Forteza, J. M. Carretero-Gómez, and A. Sesé, “Occupational risks, accidents on sites and economic performance of construction firms,” Saf. Sci., vol. 94, pp. 61–76, 2017.
 S. Larsson, A. Pousette, and M. Törner, “Psychological climate and safety in the construction industry-mediated influence on safety behaviour,” Saf. Sci., vol. 46, no. 3, pp. 405–412, 2008.
 Q. Gao, D. Wang, M. Rückert, and X. Jiang, “Violation causes from the perspectives of managers and workers in Chinese railway systems: An exploratory study,” Saf. Sci., vol. 94, 2017.
 M. Behm, “Linking construction fatalities to the design for construction safety concept,” Safety Science, vol. 43, no. 8. pp. 589–611, 2005.
 C. M. Zuluaga, M. Namian, and A. Albert, “Impact of Training Methods on Hazard Recognition and Risk Perception in Construction,” in Construction Research Congress 2016, 2016, pp. 2861–2871.
 L. Pingani et al., “Psychometric validation of the Italian version of the Reported and Intended Behaviour Scale (RIBS),” Epidemiol. Psychiatr. Sci., vol. 25, no. 5, pp. 485–492, 2016.
 N. Milijic, I. Mihajlovic, N. Strbac, and Z. Zivkovic, “Developing a questionnaire for measuring safety climate in the workplace in Serbia,” Int. J. Occup. Saf. Ergon., vol. 19, no. 4, pp. 631–645, 2013.
 K. Allen, T. Reed-Rhoads, R. A. Terry, T. J. Murphy, and A. D. Stone, “Coefficient Alpha: An Engineer’ s Interpretation of Test Reliability,” J. Eng. Educ., no. January, pp. 87–94, 2008.
 J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, “Multivariate Data Analysis,” Prentice Hall, p. 816, 2010.
 R. Saga, T. Fujita, K. Kitami, and K. Matsumoto, Improvement of factor model with text information based on factor model construction process, vol. 254. 2013.
 H. N. J. Boone and D. A. Boone, “Analyzing Likert data,” J. Ext., vol. 50, no. 2, p. 30, 2012.
 J. D. Brown, “The Cronbach alpha reliability estimate,” JALT Test. Eval. SIG Newsl., vol. 6, no. February, pp. 17–18, 2002.
 S. Andale, “Kaiser-Meyer-Olkin (KMO) Test for Sampling Adequacy,” Statistics How To, 2017. (Online). Available: http://www.statisticshowto.com/kaiser-meyer-olkin/.
 A. M. Williamson, A.-M. Feyer, D. Cairns, and D. Biancotti, “The development of a measure of safety climate: The role of safety perceptions and attitudes,” Saf. Sci., vol. 25, no. 1–3, 1997.
 R. A. Peterson, “Meta-analysis of Alpha Cronbach’s Coefficient,” J. Consum. Res., vol. 21, no. 2, pp. 381–391, 2013.
 L. L. Liu, “Chinese Construction Enterprises HSE Management,” Adv. Mater. Res., vol. 838–841, pp. 237–240, 2013.
 J. F. Hair, W. C. Black, B. J. Babin, R. E. Anderson, and R. L. Tatham, “Multivariate Data Analysis,” Prentice Hall. p. 816, 2009.
 M. Amiri, A. Ardeshir, M. H. Fazel Zarandi, and E. Soltanaghaei, “Pattern extraction for high-risk accidents in the construction industry: a data-mining approach,” Int. J. Inj. Contr. Saf. Promot., vol. 23, no. 3, 2016.
 A. Buica, A. Gasull, and J. Yang, “The third order Melnikov function of a quadratic center under quadratic perturbations,” J. Math. Anal. Appl., vol. 331, no. 1, pp. 443–454, 2007.
 P.-C. Liao, G. Lei, J. Xue, and D. Fang, “Influence of person-organizational fit on construction safety climate,” J. Manag. Eng., vol. 31, no. 4, 2015.
 N. Nenonen, K. L. Saarela, J. Takala, and P. Hämäläinen, “Global Estimates of Occupational Accidents and Fatal Work-Related Illness,” Uma ética para quantos, vol. XXXIII, no. 2, pp. 81–87, 2010.
 F. Salguero-Caparros, M. Suarez-Cebador, and J. C. Rubio-Romero, “Analysis of investigation reports on occupational accidents,” Saf. Sci., vol. 72, pp. 329–336, 2015.
 N. T. Nyberg, L. Kenne, B. Rönnberg, and B. G. Sundquist, “Separation and structural analysis of some saponins from Quillaja saponaria Molina,” Carbohydr. Res., vol. 323, no. 1–4, pp. 87–97, 1999.
 V. A. Lambert et al., “Cross-cultural comparison of workplace stressors, ways of coping and demographic characteristics as predictors of physical and mental health among hospital nurses in Japan, Thailand, South Korea and the USA (Hawaii),” Int. J. Nurs. Stud., vol. 41, no. 6, 2004.
 R. M. Choudhry and D. Fang, “Why operatives engage in unsafe work behavior: Investigating factors on construction sites,” Saf. Sci., vol. 46, no. 4, 2008.
 R. Fruchter and H. Cavallin, “Attention and Engagement of Remote Team Members in Collaborative Multimedia Environments,” in Computing in Civil Engineering (2011), 2011, pp. 875–882.
 Q. Li, C. Ji, J. Yuan, and R. Han, “Developing dimensions and key indicators for the safety climate within China’s construction teams: A questionnaire survey on construction sites in Nanjing,” Saf. Sci., vol. 93, 2017.