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The influence of a goal programming approach for safety management practices on the performance of a selected Indian construction organization

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Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
The construction industry in India is the second most important contributor to its gross domestic product. However, high rate of accidents and fatalities have tarnished the image of industry in India. Although the industry contributes significantly to the Indian economy, safety management is the primary concern alongside with frequent workplace accidents. The role of safety management is vital to improve safety performance of an organization. The functions of safety management include planning, organizing, staffing, directing, controlling and coordinating safety activities with an aim to minimize accidents/injuries. Safety trainings, employee participation, compliance of safety procedures and motivational schemes are part of safety management which influences the overall safety performance. Several metrics were developed to measure the safety performance of an organization but not a single measure will reflect the overall performance. The present study considered parameters pertaining to the safety management which have influence on the safety performance of a construction organization in India. The parameters are analyzed by formulating a goal programming model. The results of the study suggests that much improvement is needed in the area of safety trainings and the revised targets were established.
Rocznik
Tom
Strony
43--47
Opis fizyczny
Bibliogr. 27 poz., rys., tab.
Twórcy
  • NICMAR, Hyderabad, India
Bibliografia
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  • 3. Devendrakumar, P., Jha, K.N. 2015., Safety Performance Assessment of a Construction Site Using Construction Safety Index: Evidence from Indian Construction Industry, Journal of Safety, Health and Environmental Research, 11(1), 222-231.
  • 4. Fakhradin Ghasemi, I. M., Alireza Soltanian, S. M., Esmaeil, Z., 2015. Surprising Incentive: An Instrument for Promoting Safety Performance of Construction Employees, Safety and Health at Work, 6, 227-232.
  • 5. Fernandez-Muniz, B., Montes-Peon, J.M., Vazquez-Ordas, C.J., 2009. Relation between occupational safety management and firm performance, Safety Science, 47,980 – 991.
  • 6. Guha, H., Thakur, B., Biswas, P., 2013. Construction Safety Management Climate in Kolkata India, International Business Research, 6(8), 68-78.
  • 7. Hinze, J., Thurman, S., Wehle, A., 2013. Leading indicators of construction safety performance, Safety Science, 51(1), 23–28.
  • 8. Hislop, R.D., 1991. A Construction safety Program, Professional Safety, 36(9), 14-20.
  • 9. Husrul, N.H., Hamimah, A., Kamaruzaman, J., 2008. Management of Safety for Quality Construction, Journal of Sustainable Development, 1(3), 41-47.
  • 10. Indian Standard, 3786. 1983. Method for Computation of Frequency and Severity rates for Industrial Injuries and Classification of Industrial Accidents. 1-28. Retrieved March,18 from https://archive.org/details/gov.in.is.3786.1983.
  • 11. Kanchana, P., Gayani, K., Sajani, J., 2013. Construction Safety Assessment Framework for Developing Countries: A Case Study of Sri Lanka, Journal of Construction in Developing Countries, 18(1), 33–51.
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  • 13. Kim, Y., Park, J., Park, M., 2016. Creating a culture of prevention in occupational safety and health practice, Safety and Health at Work, 7, 89-96.
  • 14. Lam, W.S., Chen Jia, W., Lam Weng, H., 2017. Analysis on the Bank Financial Management with Goal Programming Model, International Journal of Economic Theory and Application, 4(5), 40-44.
  • 15. Leung, S.C.H., Ng, W.I., 2007. A goal programming model for production planning of perishable products with postponement, Computers & Industrial Engineering, 53(3), 531-541.
  • 16. Lingard, H., Rowlinson, S., 2005. Occupational Health and Safety in Construction Project Management, Oxon: Spon Press, London and New York.
  • 17. Mohd Kamar, I.F., Lop, N.S., Mat Salleh, N., Mamter, S., Suhaimi, H.A., 2014. Contractor’s Awareness on Occupational Safety and Health (OSH) Management Systems in Construction Industry, E3S, Web of Conferences3, 1-6.
  • 18. Nasruddin, H., Hazwa Hanim, M.H., Siti Maisarah, Md., 2013. A Goal Programming Approach for Rubber Production in Malaysia, American-Eurasian Journal of Sustainable Agriculture, 7(2), 50-53.
  • 19. Needleman, C., 2000. OSHA at the Crossroads: Conflicting Frameworks for Regulating OHS in the US, Retrieved from http://newcatalogue.library.unisa.edu.au/vufind/Record/738930.
  • 20. Permana, I.E., 2007. Construction safety practices in Batam, Indonesia (a case study), M.Sc dissertation, Universiti Teknologi Malaysia, 1-249.
  • 21. Podgorski, D., 2015. Measuring operational performance of OSH management system – A demonstration of AHP-based selection of leading keyperformance indicators, Safety Science, 73, 146 -166.
  • 22. Rajaprasad, S.V.S., Venkatachalapathi, P., 2016. An Analysis of Accident Trends and Modelling of Safety Indices in an Indian Construction Organization, Independent Journal of Management and Production, 7(3), 890-902.
  • 23. Saad, M. S., Fatimah, S., Zairihan, H., 2012. The determinants of industrial Accidents in the Malaysian manufacturing sector, African Journal of Business Management, 6(5), 1999-2006.
  • 24. Taha, H.A., 2017. Operations Research: An Introduction. 10th Edition Pearson, India.
  • 25. Tam, C.M., Fung, I.W.H., 1998. Effectiveness of Safety Management Strategies on Safety Performance in Hong Kong, Construction Management and Economics, 16, 49-55.
  • 26. Vinodkumar, M.N., Bhasi, M., 2010. Safety management practices and safety behaviour: Assessing the mediating role of safety knowledge and motivation, Accident Analysis and Prevention, 42, 2082–2093.
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Uwagi
Opracowanie rekordu w ramach umowy 509/P-DUN/2018 ze środków MNiSW przeznaczonych na działalność upowszechniającą naukę (2019).
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-3bb9bdb7-ce95-4684-a100-0752a59e4938
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