International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)

International Journal Of Coastal, Offshore And Environmental Engineering(ijcoe)

Identify Environmental Risks Affecting Financial Performance of Ports and Maritime Organization in Iran

Document Type : Original Research Article

Authors
Eshagh Mehra
Zadoallah Fathi
Mehrzad Minouei
Department of Industrial Management, Central Tehran Branch, Islamic Azad University, Tehran, Iran
10.22034/ijcoe.2022.166505
Abstract
The purpose of this study is to identify and then manage the most important environmental risks affecting financial performance of Ports and Maritime Organization (PMO) in Iran. In this research, risks management of port equipment and facilities, operational, human resource, pollution, maritime transport, natural, security and rules has been considered as environmental risks management affecting financial performance of PMO. This research is a mixed data in terms of type, applied and developmental purpose, exploratory and descriptive research in terms of nature and a survey in terms of data collection method. The statistical population of the research is certified and experienced specialists in the field of financial management and health, safety and environment (HSE) of PMO in Iran, which the sample size of 70 was selected by purposeful sampling method. Structural equation modeling and Smart PLS software were used to analyze the research data. The results showed that to improve the financial performance of PMO from environmental risks management, human resource risk management, pollution risk management and operational risk management with path coefficients based on the research structural model of 0.948, 0.914 and 0.905 has been the highest, and rules risk management with path coefficient 0.629 has been the lowest effects. As a result, special attention should be paid to environmental risks management in order to improve the financial performance of PMO in Iran. Therefore, PMO can increase the level of their professional knowledge and skills by considering training programs for employees, and thus reduce human error.
Keywords
Risk Management
Environment
Port Environmental Risks
Financial Performance

This is an open access article under the CC BY license

  1. Ghafarzadeh, A., Memarzadeh Tehran, G., Hamidi, N., and Mohammadi, N., (2021), Application of Fuzzy Cognitive Map to Design the Causal Structure and Analyze the Factors Affecting Good Governance in the Ports and Maritime Organization, International Journal of Coastal and Offshore Engineering, Vol.6(2), p.34-46.
  2. Wanke, P., and Falcão, B.B., (2017), Cargo allocation in Brazilian ports: An analysis through fuzzy logic and social networks, Journal of Transport Geography, Vol.60, p.33-46.
  3. Maragkogianni, A., and Papaefthimiou, S., (2015), Evaluating the social cost of cruise ships air emissions in major ports of Greece, Transportation Research Part D: Transport and Environment, Vol.36, p.10-17.
  4. Ramezani Kiasejmahaleh, R., Amiri, M. J., and Zebardast, L., (2020), Social impact assessment of marine projects and structures (the case of Chamkhaleh Port construction project), Journal of Environmental Sciences, Vol.18(1), p.87-104. (In Persian)
  5. Valyani, A. R., Feghhi Farahmand, N., and iranzadeh, S., (2019), Risk assessment of marine construction projects using Taguchi Loss Function, International Journal of Coastal and Offshore Engineering, Vol.4(3), p.33-42.
  6. Farzingohar, M., Khakpour, Z., Ahmadizadeh Shaghooei, M., and Soory, A., (2020), Fishing port pollution due to the vessel activities along Bandar Abbas Coast, Iran, International Journal of Coastal and Offshore Engineering, Vol.5(4), p.47-53.
  7. Gholipour, A., and Ebrahimi, E., (2016), Human Resource Risk Management: Mix method Application, Public Management Researches, Vol.9(32), p.73-96. (In Persian)
  8. Nguyen, S., Chen, P.S.L., Du, Y., and Thai, V.V., (2021), An operational risk analysis model for container shipping systems considering uncertainty quantification, Reliability Engineering & System Safety, Vol.209, p.107362.
  9. Azevêdo, L., Duarte, H., Galvão, D., Michima, P., Veleda, D., and Kreuger, A., (2021), Methodology for Maritime Risk Assessment in Ports due to Meteo‐oceanographic Factors: The Case of the port of Suape, Brazi, Risk analysis, Vol.41(10), p.1823-1839.
  10. Aydin, M., Camliyurt, G., Akyuz, E., and Arslan, O., (2021), Analyzing human error contributions to maritime environmental risk in oil/chemical tanker ship, Human and Ecological Risk Assessment: An International Journal., Vol.27(7), p.1838-1859.
  11. Gunes, B., Kayisoglu, G., and Bolat, P., (2021), Cyber security risk assessment for seaports: A case study of a container port, Computers & Security, Vol.103, p.102196.
  12. Nguyen, S., Chen, P.S.L., and Du, Y., (2022), Container shipping operational risks: an overview of assessment and analysis, Maritime Policy & Management, p.1-21.
  13. Tseng, P.H., and Pilcher, N., (2019), Evaluating the key factors of green port policies in Taiwan through quantitative and qualitative approaches, Transport Policy, Vol.82, p.127-137.
  14. Liu, J., Zhou, H., and Sun, H., (2019), A three- dimensional risk management model of port logistics for hazardous goods, Maritime Policy & Management, Vol.46(6), p.715-734.
  15. Vilko, J., Ritala, P., and Hallikas, J., (2019), Risk management abilities in multimodal maritime supply chains: Visibility and control perspectives, Accident Analysis & Prevention, Vol.123, p.469-481.
  16. Chen, L., and Rong-chang, C., (2019), Current problems and risk analysis on high pollution risk operation of ship, In 2019 5th International Conference on Transportation Information and Safety (ICTIS), Institute of Electrical and Electronics Engineers (IEEE), p.136-140.
  17. Bijani, M., Abedi, S., Karimi, S., and Tehranineshat, B., (2021), Major challenges and barriers in clinical decision-making as perceived by emergency medical services personnel: a qualitative content analysis, BMC emergency medicine, Vol.21(1), p.1-12.
  18. Davari, A., and Rezazadeh, A., (2014), Structural Equation Modeling with PLS Software, Tehran, Jahad Daneshgahi Publishing Organization. (In Persian)
  19. Fornell, C., and Larcker, D.F., (1981), Evaluating structural equation models with unobservable variables and measurement with unobservable variables and measurement error, Journal of marketing research, Vol.18(1), p.39-50.
  20. Ahmadian, .S, Morovati, M., Robati, M., and Sadeghinia, M., (2018), Valuating urban environmental quality using factor analysis method (Case Study: Kermanshah Metropolis), Journal of Environmental Sciences, Vol.16(2), p.149-164. (In Persian)
  21. Wetzels, M., Odekerken-Schröder, G., and Van Oppen, C., (2009), Using PLS path modeling for assessing hierarchical construct models: Guidelines and empirical illustration, MIS quarterly, Vol.33(1), p.177-195.