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THE FACTORS AFFECTING THE SEA TRANSPORTATION IN THE NEW GLOBALIZATION ERA

Year 2018, Volume: 5 Issue: 3, 166 - 171, 30.09.2018

Abstract

Purpose- to identify the variables
that define the new globalization model from the point of view of the container
shipping and port industry and to rank these variables by their importance.

Methodology-
A research process involving both
qualitative (semi-structured interview) and quantitative method (Fuzzy AHP) has
used to collect and analyse data.

Findings- According to the findings, there are 9 basic variables
that will affect maritime transport and the port in the future.







Conclusion- the most influential variables of the new
globalization model that will affect the maritime transport in the future will
be cybersecurity threat, Industry 4.0 technologies and climate change.

References

  • Abdel-Kader, M., Dugdale, D. (2001). Evaluating investments in advanced manufacturing technology: a fuzzy set theory approach. British Accounting Review, 33, 455-489.
  • Aggelakakis, J., Bernandino, M., Boile, P., Christidis, A., Condeco, M., Krail, A., Papanikolaou, M., Reichenbach. J. (2015). The future of the transport industry. European Commission Joint Research Centre Institute for Prospective Technological Studies.
  • Baas, S. M., Kwakernaak, H. (1977). Rating and ranking of multiple aspect alternatives using fuzzy sets. Automatica, 13, 47-58.
  • Bernardino, J., Vieira, J., Garcia, H. (2013). Factors of evolution of demand and methodological approach to identify pathways. FUTURE Deliverable D3.1. Project financed by the 7th Framework Programme.
  • Bhattacharya, A., Khanna, D., Schweizer, C., Bijapurkar, A. (2017). The new globalization: going beyond the rhetoric. Boston Consulting.
  • Boddy, C. R. (2016). Sample size for qualitative research. Qualitative Market Research: An International Journal, 19(4), 426–432.
  • Bortolan, G., Degani, R. (1985). A review of some methods for ranking fuzzy numbers. Fuzzy Sets and Systems, 15, 1-19.
  • Bryman, A. (2008). Social research methods. Oxford university press, 4th edition.
  • BSI. (2016) the British Standards Institution report. https://www.bsigroup.com/Documents/about-bsi/financial-performance/2016/BSI-Annual-report-and-financial-statements-2016.pdf
  • Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
  • Chen, S. J., Hwang, C. L. (1992). Fuzzy multiple attribute decision making methods. In: Fuzzy Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, 375. Springer, Berlin, Heidelberg.
  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of management review, 14(4), 532–550.
  • Ezzati, R., Allahvıranloo, T., Khezerloo, S., Khezerloo, M. (2012). An approach for ranking of fuzzy numbers. Expert Systems with Applications, 39, 690-695.
  • H. Deng, (1999). Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21, 215-231.
  • Jain, R. (1976). Decision making in the presence of fuzzy variable. IEEE Trans Systems Man and Cybernet SMC, 6, pp. 698-703.
  • Johnson, R. B., Onwuegbuzie, A. J. (2004). Mixed methods research: a research paradigm whose time has come. Educational Researcher, 33(7), 14–26.
  • Kwong, C. K., Bai, H. (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IEE Transactions, 35(7), 619-626.
  • Liou, T. S., Wang, M. J. (1992). Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems, 50(3), 247-255.
  • Malhotra, N. K. (2008). Marketing research: an applied orientation, 5/e, Pearson Education India.
  • OECD/ITF (2017). ITF transport outlook 2017, OECD Publishing, Paris. http://dx.doi.org/10.1787/9789282108000-en
  • Rodrigue, J. P. (2006). Transportation and globalization. Encyclopaedia of Globalization, Edited by Roland Robertson and Jan Aart Scholte. Routledge.
  • Rodrigue, J. P. (2010). Maritime transportation: drivers for the shipping and port industries. International Transport Forum, Paris.
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83–98.
  • Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234–281.
  • Saxon, S., Stone, S. (2017). Container shipping, the next 50 years. McKinsey&Company. Travel, Transport & Logistics.
  • Sheu, J. B. (2004). A hybrid fuzzy-based approach for identifying global logistics strategies. Transportation Research, 40(1), 39-61.
  • Tavasszy, L. A., Ruijgrok, C. J., Thissen, M. J. P. M. (2003). Emerging global logistics networks: implications for transport systems and policies. Growth and Change 34(4), 456–472.
  • Tyson, L. D., Lund, S. (2017). Globalization isn't in retreat. It's just gone digital. https://www.weforum.org/agenda/2017/02/why-globalization-isnt-it-in-retreat-its-gone-digital
  • Vaidya, O. S., Kumar, S. (2006). Analytic hierarchy process: an overview of applications. European Journal of operational research, 169(1), 1–29.
  • Wienberg, C. (2017). Maersk says June cyberattack will cost it up to $300 million. https://www.bloomberg.com/news/articles/2017-08-16/maersk-misses-estimates-as-cyberattack-set-to-hurt-third-quarter
  • Wilson, A. (2011) Marketing research: an integrated approach. FT Prentice Hall.
  • Yu, C. S. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers & Operations Research, 29(14), 1969-2001.
  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338- 353.
Year 2018, Volume: 5 Issue: 3, 166 - 171, 30.09.2018

Abstract

References

  • Abdel-Kader, M., Dugdale, D. (2001). Evaluating investments in advanced manufacturing technology: a fuzzy set theory approach. British Accounting Review, 33, 455-489.
  • Aggelakakis, J., Bernandino, M., Boile, P., Christidis, A., Condeco, M., Krail, A., Papanikolaou, M., Reichenbach. J. (2015). The future of the transport industry. European Commission Joint Research Centre Institute for Prospective Technological Studies.
  • Baas, S. M., Kwakernaak, H. (1977). Rating and ranking of multiple aspect alternatives using fuzzy sets. Automatica, 13, 47-58.
  • Bernardino, J., Vieira, J., Garcia, H. (2013). Factors of evolution of demand and methodological approach to identify pathways. FUTURE Deliverable D3.1. Project financed by the 7th Framework Programme.
  • Bhattacharya, A., Khanna, D., Schweizer, C., Bijapurkar, A. (2017). The new globalization: going beyond the rhetoric. Boston Consulting.
  • Boddy, C. R. (2016). Sample size for qualitative research. Qualitative Market Research: An International Journal, 19(4), 426–432.
  • Bortolan, G., Degani, R. (1985). A review of some methods for ranking fuzzy numbers. Fuzzy Sets and Systems, 15, 1-19.
  • Bryman, A. (2008). Social research methods. Oxford university press, 4th edition.
  • BSI. (2016) the British Standards Institution report. https://www.bsigroup.com/Documents/about-bsi/financial-performance/2016/BSI-Annual-report-and-financial-statements-2016.pdf
  • Chang, D. Y. (1996). Applications of the extent analysis method on fuzzy AHP. European Journal of Operational Research, 95(3), 649-655.
  • Chen, S. J., Hwang, C. L. (1992). Fuzzy multiple attribute decision making methods. In: Fuzzy Multiple Attribute Decision Making. Lecture Notes in Economics and Mathematical Systems, 375. Springer, Berlin, Heidelberg.
  • Eisenhardt, K. M. (1989). Building theories from case study research. Academy of management review, 14(4), 532–550.
  • Ezzati, R., Allahvıranloo, T., Khezerloo, S., Khezerloo, M. (2012). An approach for ranking of fuzzy numbers. Expert Systems with Applications, 39, 690-695.
  • H. Deng, (1999). Multicriteria analysis with fuzzy pairwise comparison. International Journal of Approximate Reasoning, 21, 215-231.
  • Jain, R. (1976). Decision making in the presence of fuzzy variable. IEEE Trans Systems Man and Cybernet SMC, 6, pp. 698-703.
  • Johnson, R. B., Onwuegbuzie, A. J. (2004). Mixed methods research: a research paradigm whose time has come. Educational Researcher, 33(7), 14–26.
  • Kwong, C. K., Bai, H. (2003). Determining the importance weights for the customer requirements in QFD using a fuzzy AHP with an extent analysis approach. IEE Transactions, 35(7), 619-626.
  • Liou, T. S., Wang, M. J. (1992). Ranking fuzzy numbers with integral value. Fuzzy Sets and Systems, 50(3), 247-255.
  • Malhotra, N. K. (2008). Marketing research: an applied orientation, 5/e, Pearson Education India.
  • OECD/ITF (2017). ITF transport outlook 2017, OECD Publishing, Paris. http://dx.doi.org/10.1787/9789282108000-en
  • Rodrigue, J. P. (2006). Transportation and globalization. Encyclopaedia of Globalization, Edited by Roland Robertson and Jan Aart Scholte. Routledge.
  • Rodrigue, J. P. (2010). Maritime transportation: drivers for the shipping and port industries. International Transport Forum, Paris.
  • Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International journal of services sciences, 1(1), 83–98.
  • Saaty, T. L. (1977). A scaling method for priorities in hierarchical structures. Journal of mathematical psychology, 15(3), 234–281.
  • Saxon, S., Stone, S. (2017). Container shipping, the next 50 years. McKinsey&Company. Travel, Transport & Logistics.
  • Sheu, J. B. (2004). A hybrid fuzzy-based approach for identifying global logistics strategies. Transportation Research, 40(1), 39-61.
  • Tavasszy, L. A., Ruijgrok, C. J., Thissen, M. J. P. M. (2003). Emerging global logistics networks: implications for transport systems and policies. Growth and Change 34(4), 456–472.
  • Tyson, L. D., Lund, S. (2017). Globalization isn't in retreat. It's just gone digital. https://www.weforum.org/agenda/2017/02/why-globalization-isnt-it-in-retreat-its-gone-digital
  • Vaidya, O. S., Kumar, S. (2006). Analytic hierarchy process: an overview of applications. European Journal of operational research, 169(1), 1–29.
  • Wienberg, C. (2017). Maersk says June cyberattack will cost it up to $300 million. https://www.bloomberg.com/news/articles/2017-08-16/maersk-misses-estimates-as-cyberattack-set-to-hurt-third-quarter
  • Wilson, A. (2011) Marketing research: an integrated approach. FT Prentice Hall.
  • Yu, C. S. (2002). A GP-AHP method for solving group decision-making fuzzy AHP problems. Computers & Operations Research, 29(14), 1969-2001.
  • Zadeh, L. A. (1965). Fuzzy sets. Information and Control, 8, 338- 353.
There are 33 citations in total.

Details

Primary Language English
Journal Section Articles
Authors

Soner Esmer This is me 0000-0002-0614-7818

Publication Date September 30, 2018
Published in Issue Year 2018 Volume: 5 Issue: 3

Cite

APA Esmer, S. (2018). THE FACTORS AFFECTING THE SEA TRANSPORTATION IN THE NEW GLOBALIZATION ERA. Journal of Management Marketing and Logistics, 5(3), 166-171.

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