References
- Bourassa D, Gauthier F, Abdul-Nour G. Equipment failures and their contribution to industrial incidents and accidents in the manufacturing industry. Int J Occup Saf Ergon. 2016;22:131–141. doi: 10.1080/10803548.2015.1116814
- Hanvold TN, Kines P, Nykänen M, et al. Occupational safety and health among young workers in the Nordic countries: a systematic literature review. Saf Health Work [Internet]. 2019;10:3–20. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2093791118301264. doi: 10.1016/j.shaw.2018.12.003
- Sabancı A. Ergonomics. 1st ed. Adana: Baki Publishing; 1999. (Publication no. 13).
- Dağdeviren M, Yüksel I, Kurt M. A fuzzy analytic network process (ANP) model to identify faulty behavior risk (FBR) in work system. Saf Sci. 2008;46:771–783. doi: 10.1016/j.ssci.2007.02.002
- Gnoni MG, Duraccio V, Iavagnilio R. A fuzzy AHP-based approach for assessing the faulty behaviour risk at workplace. Int J Bus Syst Res [Internet]. 2016;10:291. Available from: http://www.inderscience.com/link.php?id=75759. doi: 10.1504/IJBSR.2016.075759
- Zheng X-Z, Wang F, Zhou J-L. A hybrid approach for evaluating faulty behavior risk of high-risk operations using ANP and evidence theory. Math Probl Eng [Internet]. 2017;2017:1–16. Available from: https://www.hindawi.com/journals/mpe/2017/7908737/.
- Curti S, Sauni R, Spreeuwers D, et al. Interventions to increase the reporting of occupational diseases by physicians: a Cochrane systematic review. Occup Environ Med [Internet]. 2016;73:353–354. Available from: doi: 10.1136/oemed-2015-103209
- Peng L, Chan AHS. Adjusting work conditions to meet the declined health and functional capacity of older construction workers in Hong Kong. Saf Sci [Internet]. 2020;127:104711. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753520301089. doi: 10.1016/j.ssci.2020.104711
- Kahraman E, Akay O, Mahmut Kiliç A. Investigation into the relationship between fatal work accidents, national income, and employment rate in developed and developing countries. J Occup Health. 2019;61:213–218. doi: 10.1002/1348-9585.12021
- Singh S, Kaur M, Bahl A, et al. Occupational safety evaluation index-based obstacles prediction for manufacturing industries. Mod Phys Lett B [Internet]. 2020;34:2050104. Available from: https://www.worldscientific.com/doi/abs/10.1142/S0217984920501043.
- Ivascu L, Cioca L-I. Occupational accidents assessment by field of activity and investigation model for prevention and control. Safety [Internet]. 2019;5:12. Available from: http://www.mdpi.com/2313-576X/5/1/12. doi: 10.3390/safety5010012
- Behera RK, Hassan MI. Regulatory interventions and industrial accidents: a case from India for ‘Vision Zero’ goals. Saf Sci [Internet]. 2019;113:415–424. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753518307902. doi: 10.1016/j.ssci.2018.12.013
- Gupta G, Mahakud J. Alternative measure of financial development and investment–cash flow sensitivity: evidence from an emerging economy. Financ Innov [Internet]. 2019;5(1). Available from: https://jfin-swufe.springeropen.com/articles/10.1186/s40854-018-0118-9.
- Mangla SK, Luthra S, Jakhar S, et al. A step to clean energy – sustainability in energy system management in an emerging economy context. J Clean Prod [Internet]. 2020;242:118462. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0959652619333323. doi: 10.1016/j.jclepro.2019.118462
- Saaty TL. Decision Making with Dependence and Feedback: The Analytic Network Process. RWS Publ [Internet]. 1996; Pittsburgh: p. 370. Available from: http://www.rwspublications.com/books/anp/decision-making-with-dependence-and-feedback/.
- Gabus A, Fontela E. World problems, an invitation to further thought within the framework of DEMATEL. Geneva: Battelle Geneva Research Center; 1972. p. 1–8.
- Jafari MJ, Barkhordari A, Eskandari D, et al. Relationships between certain individual characteristics and occupational accidents. Int J Occup Saf Ergon [Internet]. 2019;25:61–65. Available from: https://www.tandfonline.com/doi/full/10.1080/10803548.2018.1502232.
- Tatsaki E, Sgourou E, Katsakiori P, et al. The impact of occupational accidents and gross domestic product on the sanctions imposed by the Greek OSH Inspectorate. Saf Sci [Internet]. 2019;115:349–352. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753517319082. doi: 10.1016/j.ssci.2019.02.032
- Kossoris MD. Industrial injuries and the business cycle. Mon Lab Rev. 1938;46:579.
- Anyfantis ID, Boustras G. The effects of part-time employment and employment in rotating periods on occupational accidents. The case of Greece. Saf Sci [Internet]. 2020;121:1–4. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753519315255. doi: 10.1016/j.ssci.2019.09.001
- García-Arroyo JA, Osca Segovia A. Occupational accidents in immigrant workers in Spain: the complex role of culture. Saf Sci [Internet]. 2020;121:507–515. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753518311998. doi: 10.1016/j.ssci.2019.09.027
- Hämäläinen P, Takala J, Kiat TB. Global estimates of occupational accidents and work-related illnesses. Paper presented at: World Congress on Safety and Health at Work; 2017 September 3-4, Bendemeer, SG.
- Sharma RK, Gurjar BR, Wate SR, et al. Assessment of an accidental vapour cloud explosion: lessons from the Indian Oil Corporation Ltd. accident at Jaipur, India, India. J Loss Prev Process Ind [Internet]. 2013;26:82–90. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0950423012001428. doi: 10.1016/j.jlp.2012.09.009
- Kumar G, Sinha B, Singh S. Risk assessment and disaster management plan in Chasnala coal mine. Int J Sci Technol Eng. 2016;2:101–106.
- Dash AK, Bhattacharjee RM, Paul PS. Lessons learnt from Indian inundation disasters: an analysis of case studies. Int J Disaster Risk Reduct [Internet]. 2016;20:93–102. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2212420916302059. doi: 10.1016/j.ijdrr.2016.10.013
- Palazzi E, Currò F, Fabiano B. A critical approach to safety equipment and emergency time evaluation based on actual information from the Bhopal gas tragedy. Process Saf Environ Prot [Internet]. 2015;97:37–48. Available from: https://linkinghub.elsevier.com/retrieve/pii/S095758201500110X. doi: 10.1016/j.psep.2015.06.009
- Rajeev K, Soman S, Renjith VR, et al. Human vulnerability mapping of chemical accidents in major industrial units in Kerala, India for better disaster mitigation. Int J Disaster Risk Reduct [Internet]. 2019;39:101247. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2212420919300135. doi: 10.1016/j.ijdrr.2019.101247
- Lyu X, Ding Y, Yang S-H. Safety and security risk assessment in cyber-physical systems. IET Cyber-Physical Syst Theory Appl [Internet]. 2019;4:221–232. Available from: https://digital-library.theiet.org/content/journals/10.1049/iet-cps.2018.5068.
- Afube GC, Nwaogazie IL, Ugbebor JN. Assessment of Hazards and Safety Practices in Food and Beverage Industry in Nigeria. J Eng Res Reports [Internet]. 2019;7(2):1–18. Available from: http://www.journaljerr.com/index.php/JERR/article/view/16967.
- Bussier MJP, Chong H-Y. Relationship between safety measures and human error in the construction industry: working at heights. Int J Occup Saf Ergon [Internet]. 2020;(just-accepted):1–33. Available from: https://www.tandfonline.com/doi/full/10.1080/10803548.2020.1760559.
- Querstret D, O’Brien K, Skene DJ, et al. Improving fatigue risk management in healthcare: a systematic scoping review of sleep-related/fatigue-management interventions for nurses and midwives. Int J Nurs Stud [Internet]. 2020;106:103513. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0020748919303207. doi: 10.1016/j.ijnurstu.2019.103513
- Salminen S, Gyekye SA, Ojajarvi A. Individual and Organizational Factors of Safe Behaviour among Ghanaian Industrial Workers. Eng Manag Res [Internet]. 2013;2(1):98–110. Available from: http://www.ccsenet.org/journal/index.php/emr/article/view/26957.
- Hoque I. Identification of factors influencing accidents on construction sites. J Syst Manag Sci. 2017;7:1–16.
- Wang W, Liu X, Qin Y, et al. Assessing contributory factors in potential systemic accidents using AcciMap and integrated fuzzy ISM–MICMAC approach. Int J Ind Ergon [Internet]. 2018;68:311–326. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0169814118302087. doi: 10.1016/j.ergon.2018.08.011
- Akbari M, Memarian H, Neamatollahi E, et al. Prioritizing policies and strategies for desertification risk management using MCDM–DPSIR approach in northeastern Iran. Environ Dev Sustain [Internet]. 2020;(just-accepted):1–21. Available from: http://link.springer.com/10.1007/s10668-020-00684-3.
- Chatterjee K, Zavadskas E, Tamošaitienė J, et al. A hybrid MCDM technique for risk management in construction projects. Symmetry (Basel) [Internet]. 2018;10:46. Available from: http://www.mdpi.com/2073-8994/10/2/46. doi: 10.3390/sym10020046
- Turskis Z, Goranin N, Nurusheva A, Boranbayev S. Information security risk assessment in critical infrastructure: a hybrid MCDM approach. Informatica. 2019;30:187–211. doi: 10.15388/Informatica.2019.203
- Rajmohan P, Srinivasan PSS. Safety analysis of different industries using Fuzzy AHP. J Adv Chem [Internet]. 2017; 13:5967–5990. Available from: http://rajpub.com/index.php/jac/article/view/5761. doi: 10.24297/jac.v13i11.5761
- Pitchaimuthu S, Thakkar JJ, Gopal PRC. Modelling of risk factors for defence aircraft industry using interpretive structural modelling, interpretive ranking process and system dynamics. Meas Bus Excell [Internet]. 2019;23:217–239. Available from: https://www.emerald.com/insight/content/doi/10.1108/MBE-05-2018-0028/full/html.
- Turskis Z, Dzitac S, Stankiuviene A, et al. A fuzzy group decision-making model for determining the most influential persons in the sustainable prevention of accidents in the construction SMEs. Int J Comput Commun Control. 2019;14:90–106. doi: 10.15837/ijccc.2019.1.3364
- Bhalaji RKA, Bathrinath S, Ponnambalam SG, et al. A Fuzzy Decision-Making Trial and Evaluation Laboratory approach to analyse risk factors related to environmental health and safety aspects in the healthcare industry. Sadhana – Acad Proc Eng Sci [Internet]. 2019;44(3):1–15. Available from: https://doi.org/10.1007/s12046-018-1050-4.
- Guo S, Zhang W, Gao X. Business risk evaluation of electricity retail company in China using a hybrid MCDM method. Sustainability [Internet]. 2020;12:2040. Available from: https://www.mdpi.com/2071-1050/12/5/2040. doi: 10.3390/su12052040
- Eckenrode RT. Weighting multiple criteria. Manage Sci [Internet]. 1965;12:180–192. Available from: http://pubsonline.informs.org/doi/abs/10.1287/mnsc.12.3.180.
- Zagorskas J, Turskis Z. Setting priority list for construction works of bicycle path segments based on Eckenrode rating and ARAS-F decision support method integrated in GIS. Transport [Internet]. 2020;35:179–192. Available from: https://journals.vgtu.lt/index.php/Transport/article/view/12478. doi: 10.3846/transport.2020.12478
- Keršulienė V, Zavadskas EK, Turskis Z. Selection of rational dispute resolution method by applying new step-wise weight assessment ratio analysis (SWARA). J Bus Econ Manag [Internet]. 2010;11:243–258. Available from: https://journals.vgtu.lt/index.php/JBEM/article/view/5851. doi: 10.3846/jbem.2010.12
- Asadabadi MR, Chang E, Saberi M. Are MCDM methods useful? A critical review of Analytic Hierarchy Process (AHP) and Analytic Network Process (ANP). Zhou Z, editor. Cogent Eng [Internet]. 2019;6(1):1–11. Available from: https://www.cogentoa.com/article/10.1080/23311916.2019.1623153.
- Vinodh S, Sai Balagi TS, Patil A. A hybrid MCDM approach for agile concept selection using fuzzy DEMATEL, fuzzy ANP and fuzzy TOPSIS. Int J Adv Manuf Technol [Internet]. 2016;83:1979–1987. Available from: http://link.springer.com/10.1007/s00170-015-7718-6.
- Lee H-S, Tzeng G-H, Yeih W, et al. Revised DEMATEL: resolving the infeasibility of DEMATEL. Appl Math Model [Internet]. 2013;37:6746–6757. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0307904X13000383. doi: 10.1016/j.apm.2013.01.016
- Tseng M-L, Wu K-J, Ma L, et al. A hierarchical framework for assessing corporate sustainability performance using a hybrid fuzzy synthetic method–DEMATEL. Technol Forecast Soc Change [Internet]. 2019;144:524–533. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0040162517305723. doi: 10.1016/j.techfore.2017.10.014
- Karaşan A, Kahraman C. A novel intuitionistic fuzzy DEMATEL–ANP–TOPSIS integrated methodology for freight village location selection. J Intell Fuzzy Syst [Internet]. 2019;36:1335–1352. Available from: https://www.medra.org/servlet/aliasResolver?alias=iospress&doi=10.3233/JIFS-17169.
- Dinçer H, Yüksel S, Martínez L. Interval type 2-based hybrid fuzzy evaluation of financial services in E7 economies with DEMATEL–ANP and MOORA methods. Appl Soft Comput [Internet]. 2019;79:186–202. Available from: https://linkinghub.elsevier.com/retrieve/pii/S156849461930136X. doi: 10.1016/j.asoc.2019.03.018
- Wang B, Wu C, Huang L, et al. Safety science as a new discipline in China. Saf Sci [Internet]. 2020;121:201–214. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753518305277. doi: 10.1016/j.ssci.2019.08.036
- Likert R. A technique for the measurement of attitudes. Arch Psychol. 1932;140:1–55.
- Yin RK. Case study research and applications: Design and methods. Beverly Hills, CA Sage Publications. 1984.
- Govindan K, Shankar KM, Kannan D. Achieving sustainable development goals through identifying and analyzing barriers to industrial sharing economy: a framework development. Int J Prod Econ. 2020;227:107575. doi: 10.1016/j.ijpe.2019.107575
- De Boeck E, Jacxsens L, Vanoverberghe P, et al. Method triangulation to assess different aspects of food safety culture in food service operations. Food Res Int [Internet]. 2019;116:1103–1112. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0963996918307750. doi: 10.1016/j.foodres.2018.09.053
- Zhao R, Guan Q, Luo H, et al. Fuzzy synthetic evaluation and health risk assessment quantification of heavy metals in Zhangye agricultural soil from the perspective of sources. Sci Total Environ [Internet]. 2019;697:134126. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0048969719341038. doi: 10.1016/j.scitotenv.2019.134126
- Dwivedi A, Agrawal D, Madaan J. Sustainable manufacturing evaluation model focusing leather industries in India. J Sci Technol Policy Manag [Internet]. 2019;10:319–359. Available from: https://www.emerald.com/insight/content/doi/10.1108/JSTPM-06-2018-0054/full/html.
- Chang DY. Extent analysis and synthetic decision, optimization techniques and applications. Singapore World Sci. 1992;1:352.
- Antunes CH, Clímaco JN. Sensitivity analysis in MCDM using the weight space. Oper Res Lett [Internet]. 1992;12:187–196. Available from: https://linkinghub.elsevier.com/retrieve/pii/016763779290105C. doi: 10.1016/0167-6377(92)90105-C
- Govindan K, Mangla SK, Luthra S. Prioritising indicators in improving supply chain performance using fuzzy AHP: insights from the case example of four Indian manufacturing companies. Prod Plan Control [Internet]. 2017;28:552–573. Available from: https://www.tandfonline.com/doi/full/10.1080/09537287.2017.1309716.
- Moradi S, Yousefi H, Noorollahi Y, et al. Multi-criteria decision support system for wind farm site selection and sensitivity analysis: case study of Alborz Province, Iran. Energy Strateg Rev [Internet]. 2020;29:100478. Available from: https://linkinghub.elsevier.com/retrieve/pii/S2211467X20300328. doi: 10.1016/j.esr.2020.100478
- Rajesh R. A grey-layered ANP based decision support model for analyzing strategies of resilience in electronic supply chains. Eng Appl Artif Intell [Internet]. 2020;87:103338. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0952197619302817. doi: 10.1016/j.engappai.2019.103338
- Lokhande T, Kote A, Mali S. Integration of GIS and AHP–ANP Modeling for Landfill Site Selection for Nagpur City, India. Springer Singapore; 2020. p. 499–510. Available from: http://link.springer.com/10.1007/978-981-15-0990-2_39.
- Agrawal A, Seh AH, Baz A, et al. Software security estimation using the hybrid fuzzy ANP–TOPSIS approach: design tactics perspective. Symmetry (Basel) [Internet]. 2020;12:598. Available from: https://www.mdpi.com/2073-8994/12/4/598. doi: 10.3390/sym12040598
- Killimett P. Organizational factors that influence safety. Process Saf Prog [Internet]. 2006;25:94–97. Available from: http://doi.wiley.com/10.1002/prs.10118.
- Carrillo-Castrillo JA, Rubio-Romero JC, Onieva L, et al. The causes of severe accidents in the Andalusian manufacturing sector: the role of human factors in official accident investigations. Hum Factors Ergon Manuf. 2016;26:68–83. doi: 10.1002/hfm.20614
- Moura R, Beer M, Patelli E, et al. Learning from major accidents to improve system design. Saf Sci [Internet]. 2016;84:37–45. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753515003203. doi: 10.1016/j.ssci.2015.11.022
- Basak SR, Raihan I, Bhuiya AS. A study on occupational health and safety practices in Bangladeshi leather industry. J Hum Resour Sustain Stud [Internet]. 2019;7:302–311. Available from: http://www.scirp.org/journal/doi.aspx?DOI=10.4236/jhrss.2019.72019.
- Low BKL, Man SS, Chan AHS, Alabdulkarim S. Construction Worker Risk-Taking Behavior Model with Individual and Organizational Factors. Int J Environ Res Public Health [Internet]. 2019;16:1335. Available from: https://www.mdpi.com/1660-4601/16/8/1335. doi: 10.3390/ijerph16081335
- Rodger JA. An expert system gap analysis and empirical triangulation of individual differences, interventions, and information technology applications in alertness of railroad workers. Expert Syst Appl [Internet]. 2020;144:113081. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0957417419307985. doi: 10.1016/j.eswa.2019.113081
- Song B, Suh Y. Identifying convergence fields and technologies for industrial safety: LDA-based network analysis. Technol Forecast Soc Change [Internet]. 2019;138:115–126. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0040162518301252. doi: 10.1016/j.techfore.2018.08.013
- Kozłowski E, Mazurkiewicz D, Żabiński T, et al. Machining sensor data management for operation-level predictive model. Expert Syst Appl [Internet]. 2020;159:113600. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0957417420304243. doi: 10.1016/j.eswa.2020.113600
- Kang K, Ryu H. Predicting types of occupational accidents at construction sites in Korea using random forest model. Saf Sci [Internet]. 2019;120:226–236. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0925753519301110. doi: 10.1016/j.ssci.2019.06.034
- Yu H, Chen H, Long R. Mental fatigue, cognitive bias and safety paradox in chinese coal mines. Resour Policy [Internet]. 2017;52:165–172. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0301420717300612. doi: 10.1016/j.resourpol.2017.02.005
- Adler RM. Psychology of critical decision-making. Bend law unintended consequences [Internet]. Cham: Springer International; 2020. p. 41–62. Available from: http://link.springer.com/10.1007/978-3-030-32714-9_4.
- Zhang J, Fu J, Hao H, et al. Root causes of coal mine accidents: characteristics of safety culture deficiencies based on accident statistics. Process Saf Environ Prot [Internet]. 2020;136:78–91. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0957582019310377. doi: 10.1016/j.psep.2020.01.024
- Takala JS. Occupational accidents in developing countries. J Occup Accid [Internet]. 1982;4:361–369. Available from: https://linkinghub.elsevier.com/retrieve/pii/0376634982900475. doi: 10.1016/0376-6349(82)90047-5
- Attri R, Ashishpal NA, Khan NZ, et al. ISM–MICMAC approach for evaluating the critical success factors of 5S implementation in manufacturing organisations. Int J Bus Excell [Internet]. 2020;20:521. Available from: http://www.inderscience.com/link.php?id=106437 doi: 10.1504/IJBEX.2020.106437
- Zemlickienė V, Turskis Z. Evaluation of the expediency of technology commercialization: a case of information technology and biotechnology. Technol Econ Dev Econ [Internet]. 2020;26:271–289. Available from: https://journals.vgtu.lt/index.php/TEDE/article/view/11918. doi: 10.3846/tede.2020.11918
- Karuppiah K, Sankaranarayanan B, Ali SM, et al. An integrated approach to modeling the barriers in implementing green manufacturing practices in SMEs. J Clean Prod [Internet]. 2020;265:121737. Available from: https://linkinghub.elsevier.com/retrieve/pii/S0959652620317844. doi: 10.1016/j.jclepro.2020.121737