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Role of non technical skill in human factor engineering: a crucial safety issue in Indian Railway

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Abstract

It is not possible to design particularly the transport system without a man. Technical skills without non technical skills are meaningless. Developing suitable non technical skills (NTS) for every category of frontline staff is considered the strongest antidote to human error. This paper is an attempt to study and identify the most prominent issues of NTS with their inter-dependencies desired to improve the safety system of Indian Railway. A descriptive analysis was performed on the responses to the questionnaires with the help of the SPSS-14 package. Seventeen factors have been selected by using brainstorming technique and finally it provides an interpretive structural model to develop a map of the complex relationships and magnitude among identified key factors of NTS for Indian Railway. The study presented in this paper will help the top management of Indian Railway in identifying the areas in which they need to focus their attention in order to provide NTS to reduce the train accidents

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(Source: Annual Safety Report, Indian Railway 2014)

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References

  • Amit K (2012) Human behavioral aspects of level crossing safety with special reference to Indian Railways. Jordan J Mech Ind Eng 6(1):37–43

    Google Scholar 

  • Amit K, Popper M, Gal R, Reuven L, Tammy M, Lisak A (2009) Leadership-shaping experiences: a comparative study of leaders and non-leaders. Leadersh Organ Dev J 30(4):302–318

    Article  Google Scholar 

  • Ankli RE, Palliam R (2012) Enabling a motivated workforce: exploring the sources of motivation. Dev Learn Organ Int J 26(2):7–10

    Article  Google Scholar 

  • Annual Safety Report, Indian Railway (2014) Ministry of Civil Aviation, Commission of Railway Safety, Government of India

  • Baysari MT, Mcintosh AS, Wilson JR (2008) Understanding human factors contribution to railway accidents and incidents in Australia. Accid Anal Prev 40(5):1750–1757

    Article  Google Scholar 

  • Beriha GS, Patnaik B, Mahapatra SS (2011) Safety performance evaluation of Indian organizations using data envelopment analysis. Benchmark Int J 18(2):197–220

    Article  Google Scholar 

  • Beriha GS, Patnaik B, Mahapatra SS (2012) Assessment of occupational health practices in Indian industries: a neural network approach. J Model Manag 7(2):180–200

    Article  Google Scholar 

  • Burnes B (2003) Managing change and changing managers from ABC to XYZ. J Manag Dev 22(7):627–642

    Article  Google Scholar 

  • Cacciabue PC (2005) Human error risk management methodology for safety audit of a large railway organisation. Appl Ergon 36(6):709–718

    Article  Google Scholar 

  • Chandrakantan SHA, Faridahwati MS (2012) Initial emergency response performance of fire fighters in Malaysia. Int J Public Sector Manag 25(1):64–73

    Article  Google Scholar 

  • Charlie C, Chen B, Dawn M, Shaw RS (2008) A cross-cultural investigation of situational information security awareness programs. Inf Manag Comput Secur 16(4):360–376

    Article  Google Scholar 

  • Commissioner of Railway Safety, Indian Railway, Annual Report 2012–2013

  • Commissioner of Railway Safety, Indian Railway, Annual Report 2015–2016

  • Dennis FK, Daniel GS, Emmett EP (2013) Team establishment of self-managed work teams: a model from the field. Team Perform Manag 19(1/2):87–108

    Article  Google Scholar 

  • Durmus MS, Ustoglu I, Tsarev RY, Soylemez MT (2014) Fault diagnosis in fixed block railway signaling system—a discrete event system approach. IFAC 49(3):523–531

    Google Scholar 

  • Edkin GD, Pollock CM (1997) The Influence of sustained attention on railway accidents. Accid Anal Prev 29(4):533–539

    Article  Google Scholar 

  • Evans AW (2013) The economics of railway safety. Res Transp Econ 43:137–147

    Article  Google Scholar 

  • Famurewa SM, Asplund M, Galar D, Kumar U (2013) Implementation of performance based maintenance contracting in railway industries. Int J Syst Assur Eng Manag 4(3):231–240

    Article  Google Scholar 

  • Flin R, O’Connor P, Crichton M (2008) Safety at the sharp end. A guide to non-technical skills. Ashgate, Farnham

    Google Scholar 

  • Hassan S, Mahsud R, Yukl G, Prussia GE (2013) Ethical and empowering leadership and leader effectivess. J Managerial Psychol 28(2):133–146

    Article  Google Scholar 

  • Isaksen SG, Dorval KB, Treffinger DJ (1994) Creative approaches to problem solving. Kendall-Hunt, Dubuque

    Google Scholar 

  • James AT, Gandhi OP, Deshmukh SG (2017) Assessment of failures in automobiles due to maintenance errors. Int J Syst Assur Eng Manag 8(4):719–739

    Google Scholar 

  • Jaumotte F, Pain N (2005) An overview of public policies to support innovation. OECD Economics Department Working Paper No. 456

  • Katherine T, Smith L, Murphy S, Tracy RB (2016) How work-life balance, job performance, and ethics connect: perspective of current and future accountant. Res Prof Responsib Ethics Account 20:219–238

    Google Scholar 

  • Lee JH, Jin BS, Yun MH (2009) Cultural difference in conceptual model of ride comfort for high speed train. Hum Factors Ergon Manuf Serv Ind 19(2):128–144

    Article  Google Scholar 

  • Lin YH (2012) Modeling the important organizational factors of safety management system performance. J Model Manag 7(2):166–179

    Article  Google Scholar 

  • Madiga R, Golightly D, Madders R (2016) Application of human factor analysis and classification system(HFACS) to UK railway safety of the line accidents. Accid Anal Prev 97:112–131

    Google Scholar 

  • Marsden AW (1998) Training railway operating staff to understand and manage passenger and crowd behaviour. Ind Commer Train 30(5):171–175

    Article  Google Scholar 

  • Marsh W, Bearfield G (2004) Using Bayesian network to model accident causations in Rly Industry (UK). In: Probabilistic safety assessment & management. Springer, London, pp 3597–3602

  • Matsika E, Ricci S, Mortimer P, Georgiev N, Neill CO (2013) Railway Vehicle, environment, safety and security. Res Transp Econ 41:43–58

    Article  Google Scholar 

  • Metzger U (2005) Investigation of railway specific human error. Paper presented at the second European conference on rail human factors

  • Mirjam G, Dave G, Pieter VJ, Erwin S (2008) Transparency and performance communication: a case study of Dutch Railways. Corp Commun Int J 13(4):433–447

    Article  Google Scholar 

  • Miwa M, Gozun B, Oyama T (2006) Statistical data analyses to elucidate the causes and improve the counter measures for preventing train accidents in Japan. Int Trans Oper Res 66(2):229–251

    Article  MATH  Google Scholar 

  • Mohanty RP (1993) Revitising scientific management. Work Study 42(6):13–14

    Article  Google Scholar 

  • Nagpal S, Kumar A, Khatri SK (2017) Modeling interrelationships between CSF in ERP implementations: total ISM and MICMAC approach. Int J Syst Assur Eng Manag 8(4):782–798

    Google Scholar 

  • Perez AG, Shaikh SA, Kalutarage HK, Jahantab M (2015) Towards a knowledge—based approach for effective decision making in railway safety. Journal of knowledge Management 19(3):641–659

    Article  Google Scholar 

  • Ranjan R, Prasad T (2013) Work–life of Indian Railway’s Drivers (Loco-Pilots). IOSR J Bus Manag 9(2):39–48

    Article  Google Scholar 

  • Rao MS (2016) Innovative tools and techniques to manage your stress to ensure work-life balance. Ind Commer Train 48(6):320–324

    Article  Google Scholar 

  • Reynolds N, Smith A (2010) Assessing the impact of response styles on cross-cultural service quality evaluation: a simplified approach to eliminating the problem. J Serv Res 13(2):230–243

    Article  Google Scholar 

  • Rodriguez MA, Griffin MA (2009) From error prevention to error learning: the role of error management in global leadership. In: Advances in global leadership, vol 5, pp 93–112

  • Saat MR, Barkan CPL (2006) Tank car safety design vs. infrastructure improvements in reducing hazardous materials transportation risks. Presented at INFORMS annual meeting, Pittsburgh, PA

  • Shirouyehzad H, Mokhatab Rafiee F, Berjis N (2017) Performance evaluation and prioritization of organizations based on knowledge management and safety management approaches using DEA: a case study. J Model Manag 12(1):77–95

    Article  Google Scholar 

  • Shogo M (2014) Loyalty program in Africa: risk-seeking and risk-averse adventures. Tour Rev 69(2):137–157

    Article  Google Scholar 

  • Short T (2016) The importance of balance in leadership development lesson from a study of railways in Australia. Hum Resour Manag Int Digest 20(4):36–39

    Article  Google Scholar 

  • Singh S, Kumar R, Kumar U (2014) Modelling factors affecting human operator failure probability in railway maintenance tasks: an ism-based analysis. Int J Syst Assur Eng Manag 6(2):1–10

    Google Scholar 

  • Singh S, Kumar R, Kumar U (2015) Applying human factor analysis tool to a railway brake and wheel maintenance facility. J Qual Maint Eng 21(1):89–99

    Article  Google Scholar 

  • Sklet S (2004) Comparison of selected methods of accident investigation. J Hazard Mater 111(1-3):29–37

    Article  Google Scholar 

  • Tang Z, Sun J (2017) Multi objective optimization of railway emergency rescue resource allocation and decision. Int J Syst Assur Eng Manag. https://doi.org/10.1007/s13198-017-0648-y

    Google Scholar 

  • Tripathy S, Sahu S, Ray PK (2013) Interpretive structural modelling for critical success factors of R&D performance in Indian manufacturing firms. J Model Manag 8:212–240

    Article  Google Scholar 

  • Wasnik RN (2010) Original research paper analysis of railway fatalities in central India. J Indian Acad Forensic Med 32(4):311–314

    Google Scholar 

  • Wernstedt K, Tuite PM (2015) The dynamic nature of risk perception after a fatal transit accident. Risk Anal 35(3):536–553

    Article  Google Scholar 

  • White Paper: Safety on Indian Railways India (2015) Railway Board. Ministry of Railways, Ministry of Transport Railway Department

  • Wilson JR (2007) People and rail systems: human factors at the heart of the railway. Ashgate, Aldershot

    Google Scholar 

  • Zhan Q, Zhen W, Zhao B (2017) A hybrid human organizational analysis method for Railway accidents based on HFACS-Railway accidents (HFACS-RAs). Saf Sci 91:232–250

    Article  Google Scholar 

  • Zhao CY, Zhu Q (2014) Effects of extrinsic and intrinsic motivation in participation. Online Inf Rev 38(7):896–917

    Article  Google Scholar 

Download references

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Correspondence to Sushanta Tripathy.

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Nayak, S., Tripathy, S. & Dash, A. Role of non technical skill in human factor engineering: a crucial safety issue in Indian Railway. Int J Syst Assur Eng Manag 9, 1120–1136 (2018). https://doi.org/10.1007/s13198-018-0715-z

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  • DOI: https://doi.org/10.1007/s13198-018-0715-z

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