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THE EVALUATION OF COMPETITIVENESS PERFORMANCE FOR DEVELOPING EIGHT COUNTRIES BY GREY TOPSIS

Year 2019, Volume: 3 Issue: 2, 70 - 79, 02.07.2019

Abstract

The World Economic
Forum has developed the Global Competitiveness Index to measure the countries'
competitiveness and rank the countries according to their level of competition.
This index is calculated separately for each country starting from 2007
considering the 12 indicators. In this study, a new ranking has been obtained
for 8 countries (D-8) developed with TOPSIS-G method by using the annual Global
Competitiveness Index data published by the World Economic Forum over the
period of 2007 to 2017. The relationship between the ranking of TOPSIS-G and observed
ranking was investigated by Spearman-Rank correlation coefficient and Kendall
Tau nonparametric correlation coefficients. As a result, it was determined that
the ranking found with TOPSIS-G method was strongly related to the annual
published rankings. In addition, the new ranking is less affected by competing
rankings over the years. While the country with the highest level of
competitiveness with Topsis-G method is Malaysia, Turkey is third. Pakistan is
the lowest competitiveness country.

References

  • Adıgüzel, M. (2013). Küresel Rekabet Gücünün Ölçülmesi ve Türkiye Bağlamında Bir Değerlendirme. Akademik Bakış Dergisi, 37, 1-21.
  • Chen, P. Y., Popovich P.M. (2002), Correlation Parametric and Nonparametric Measures, Series:Quantitative Applications in Social Sciences, a Sage University Paper.
  • Crouch, G. I. (2011). Destination competitiveness: An analysis of determinant attributes. Journal of Travel Research, 50(1), 27–45.
  • Dejiang, W. (2009). Extension of TOPSIS method for R&D personnel selection problem with interval grey number. In Proceedings - International Conference on Management and Service Science, MASS 2009. https://doi.org/10.1109/ICMSS.2009.5304586
  • Edmundas Kazimieras Zavadskas, Arturas Kaklauskas, Zenonas Turskis, J. T. (2009). Multi-Attribute Decision-Making Model by Applying Grey Numbers. Informatica. https://doi.org/10.1016/S0377-2217(97)00147-1
  • Hong, W. C. (2009). Global competitiveness measurement for the tourism sector. Current issues in tourism, 12(2), 105-132.
  • Jafarnejad, A., & Salimi, M. (2013). Grey TOPSIS method for supplier selection with litrature and Delphi critaria in an auto company. Academia Arena, 5(12), 40-46.
  • Jiang, Y. X., Liu, Y. S., Ying, G. G., Wang, H. W., Liang, Y. Q., & Chen, X. W. (2015). A new tool for assessing sediment quality based on the Weight of Evidence approach and grey TOPSIS. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2015.08.004
  • Lall, S. (2001). Competitiveness indices and developing countries: an economic evaluation of the global competitiveness report. World development, 29(9), 1501-1525.
  • Lee, S. M., & Peterson, S. J. (2000). Culture, entrepreneurial orientation, and global competitiveness. Journal of world business, 35(4), 401-416.
  • Lin, Y. H., Lee, P. C., & Ting, H. I. (2008). Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2007.08.064
  • Lin, Y. H., Lee, P. C., Chang, T. P., & Ting, H. I. (2008). Multi-attribute group decision making model under the condition of uncertain information. Automation in Construction. https://doi.org/10.1016/j.autcon.2008.02.011
  • Nyaoga, R., Magutu, P., & Wang, M. (2016). Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains. Decision Science Letters. https://doi.org/10.5267/j.dsl.2016.1.002
  • Oztaysi, B. (2014). A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2014.02.010
  • Pérez-Moreno, S., Rodríguez, B., & Luque, M. (2016). Assessing global competitiveness under multi-criteria perspective. Economic Modelling, 53, 398-408.
  • Porter, M. E., Ketels, C., & Delgado, M. (2007). The microeconomic foundations of prosperity: findings from the business competitiveness index. The Global Competitiveness Report 2007–2008, 51-81.
  • Poveda-Bautista, R., Baptista, D. C., & García-Melón, M. (2012). Setting competitiveness indicators using BSC and ANP. International Journal of Production Research, 50(17), 4738-4752.
  • Saberi, N., Sadeghi, M., & Razavi, S. H. (2018). Application of Grey TOPSIS in Preference Ordering of Action Plans in Balanced Scorecard and Strategy Map. Informatica. https://doi.org/10.15388/informatica.2013.07
  • Ülengin, F., Kabak, Ö., Önsel, S., Aktas, E., & Parker, B. R. (2011). The competitiveness of nations and implications for human development. Socio-Economic planning sciences, 45(1), 16-27.
  • Zare, A., Feylizadeh, M. R., Mahmoudi, A., & Liu, S. (2018). Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study. Decision Science Letters. https://doi.org/10.5267/j.dsl.2018.3.002
  • Zavadskas, E. K., Turskis, Z., Tamošaitiene, J., Tamosaitiene, J., Tamosaitiene, & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of Civil Engineering and Management. https://doi.org/10.3846/jcem.2010.03
  • Zavadskas, E. K., Vilutienė, T., Turskis, Z., & Tamosaitienė, J. (2018). Contractor Selection for Construction Works By Applying SAW‐G and TOPSIS GREY Techniques. Journal of Business Economics and Management. https://doi.org/10.3846/jbem.202010.03
  • Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443-451.
  • Zolfani, S. H., & Antucheviciene, J. (2012). Team member selecting based on AHP and TOPSIS grey. Engineering Economics. https://doi.org/10.5755/j01.ee.23.4.2725
  • Zolfani, S. H., Aghdaie, M. H., & Rad, M. D. (2011). Using MCDM Methods for Selecting the Best Multi-Role Artist of Rock Bands in 2000s. International Journal of Management & Innovation.
  • Zolfani, S. H., Rezaeiniya, N., & Šaparauskas, J. (2012). Selecting the best multi-role artist of rock bands of Iran in 2000s by applying anp and TOPSIS Grey. Economic Computation and Economic Cybernetics Studies and Research.
  • Zolfani, S. H., Rezaeiniya, N., Pourhossein, M., & Zavadskas, K. (2013). Decision Making on Advertisement Strategy Selection Based on Life Cycle of Products by Applying FAHP and TOPSIS GREY: Growth Stage Perspective; a Case about Food Industry in IRAN. Engineering Economics. https://doi.org/10.5755/j01.ee.23.5.3134
  • Zolfani, S. H., Sedaghat, M., & Zavadskas, E. K. (2012). Performance Evaluating of Rural ICT Centers (Telecenters), Applying Fuzzy AHP, SAW-G and TOPSIS Grey, A Case Study In Iran. Technological and Economic Development of Economy. https://doi.org/10.3846/20294913.2012.685110
Year 2019, Volume: 3 Issue: 2, 70 - 79, 02.07.2019

Abstract

References

  • Adıgüzel, M. (2013). Küresel Rekabet Gücünün Ölçülmesi ve Türkiye Bağlamında Bir Değerlendirme. Akademik Bakış Dergisi, 37, 1-21.
  • Chen, P. Y., Popovich P.M. (2002), Correlation Parametric and Nonparametric Measures, Series:Quantitative Applications in Social Sciences, a Sage University Paper.
  • Crouch, G. I. (2011). Destination competitiveness: An analysis of determinant attributes. Journal of Travel Research, 50(1), 27–45.
  • Dejiang, W. (2009). Extension of TOPSIS method for R&D personnel selection problem with interval grey number. In Proceedings - International Conference on Management and Service Science, MASS 2009. https://doi.org/10.1109/ICMSS.2009.5304586
  • Edmundas Kazimieras Zavadskas, Arturas Kaklauskas, Zenonas Turskis, J. T. (2009). Multi-Attribute Decision-Making Model by Applying Grey Numbers. Informatica. https://doi.org/10.1016/S0377-2217(97)00147-1
  • Hong, W. C. (2009). Global competitiveness measurement for the tourism sector. Current issues in tourism, 12(2), 105-132.
  • Jafarnejad, A., & Salimi, M. (2013). Grey TOPSIS method for supplier selection with litrature and Delphi critaria in an auto company. Academia Arena, 5(12), 40-46.
  • Jiang, Y. X., Liu, Y. S., Ying, G. G., Wang, H. W., Liang, Y. Q., & Chen, X. W. (2015). A new tool for assessing sediment quality based on the Weight of Evidence approach and grey TOPSIS. Science of the Total Environment. https://doi.org/10.1016/j.scitotenv.2015.08.004
  • Lall, S. (2001). Competitiveness indices and developing countries: an economic evaluation of the global competitiveness report. World development, 29(9), 1501-1525.
  • Lee, S. M., & Peterson, S. J. (2000). Culture, entrepreneurial orientation, and global competitiveness. Journal of world business, 35(4), 401-416.
  • Lin, Y. H., Lee, P. C., & Ting, H. I. (2008). Dynamic multi-attribute decision making model with grey number evaluations. Expert Systems with Applications. https://doi.org/10.1016/j.eswa.2007.08.064
  • Lin, Y. H., Lee, P. C., Chang, T. P., & Ting, H. I. (2008). Multi-attribute group decision making model under the condition of uncertain information. Automation in Construction. https://doi.org/10.1016/j.autcon.2008.02.011
  • Nyaoga, R., Magutu, P., & Wang, M. (2016). Application of Grey-TOPSIS approach to evaluate value chain performance of tea processing chains. Decision Science Letters. https://doi.org/10.5267/j.dsl.2016.1.002
  • Oztaysi, B. (2014). A decision model for information technology selection using AHP integrated TOPSIS-Grey: The case of content management systems. Knowledge-Based Systems. https://doi.org/10.1016/j.knosys.2014.02.010
  • Pérez-Moreno, S., Rodríguez, B., & Luque, M. (2016). Assessing global competitiveness under multi-criteria perspective. Economic Modelling, 53, 398-408.
  • Porter, M. E., Ketels, C., & Delgado, M. (2007). The microeconomic foundations of prosperity: findings from the business competitiveness index. The Global Competitiveness Report 2007–2008, 51-81.
  • Poveda-Bautista, R., Baptista, D. C., & García-Melón, M. (2012). Setting competitiveness indicators using BSC and ANP. International Journal of Production Research, 50(17), 4738-4752.
  • Saberi, N., Sadeghi, M., & Razavi, S. H. (2018). Application of Grey TOPSIS in Preference Ordering of Action Plans in Balanced Scorecard and Strategy Map. Informatica. https://doi.org/10.15388/informatica.2013.07
  • Ülengin, F., Kabak, Ö., Önsel, S., Aktas, E., & Parker, B. R. (2011). The competitiveness of nations and implications for human development. Socio-Economic planning sciences, 45(1), 16-27.
  • Zare, A., Feylizadeh, M. R., Mahmoudi, A., & Liu, S. (2018). Suitable computerized maintenance management system selection using grey group TOPSIS and fuzzy group VIKOR: A case study. Decision Science Letters. https://doi.org/10.5267/j.dsl.2018.3.002
  • Zavadskas, E. K., Turskis, Z., Tamošaitiene, J., Tamosaitiene, J., Tamosaitiene, & Tamošaitiene, J. (2010). Risk assessment of construction projects. Journal of Civil Engineering and Management. https://doi.org/10.3846/jcem.2010.03
  • Zavadskas, E. K., Vilutienė, T., Turskis, Z., & Tamosaitienė, J. (2018). Contractor Selection for Construction Works By Applying SAW‐G and TOPSIS GREY Techniques. Journal of Business Economics and Management. https://doi.org/10.3846/jbem.202010.03
  • Zhang, H., Gu, C. L., Gu, L. W., & Zhang, Y. (2011). The evaluation of tourism destination competitiveness by TOPSIS & information entropy–A case in the Yangtze River Delta of China. Tourism Management, 32(2), 443-451.
  • Zolfani, S. H., & Antucheviciene, J. (2012). Team member selecting based on AHP and TOPSIS grey. Engineering Economics. https://doi.org/10.5755/j01.ee.23.4.2725
  • Zolfani, S. H., Aghdaie, M. H., & Rad, M. D. (2011). Using MCDM Methods for Selecting the Best Multi-Role Artist of Rock Bands in 2000s. International Journal of Management & Innovation.
  • Zolfani, S. H., Rezaeiniya, N., & Šaparauskas, J. (2012). Selecting the best multi-role artist of rock bands of Iran in 2000s by applying anp and TOPSIS Grey. Economic Computation and Economic Cybernetics Studies and Research.
  • Zolfani, S. H., Rezaeiniya, N., Pourhossein, M., & Zavadskas, K. (2013). Decision Making on Advertisement Strategy Selection Based on Life Cycle of Products by Applying FAHP and TOPSIS GREY: Growth Stage Perspective; a Case about Food Industry in IRAN. Engineering Economics. https://doi.org/10.5755/j01.ee.23.5.3134
  • Zolfani, S. H., Sedaghat, M., & Zavadskas, E. K. (2012). Performance Evaluating of Rural ICT Centers (Telecenters), Applying Fuzzy AHP, SAW-G and TOPSIS Grey, A Case Study In Iran. Technological and Economic Development of Economy. https://doi.org/10.3846/20294913.2012.685110
There are 28 citations in total.

Details

Primary Language English
Subjects Business Administration
Journal Section Article
Authors

Bahadır Fatih Yıldırım

Sultan Kuzu Yıldırım

Publication Date July 2, 2019
Published in Issue Year 2019 Volume: 3 Issue: 2

Cite

APA Yıldırım, B. F., & Kuzu Yıldırım, S. (2019). THE EVALUATION OF COMPETITIVENESS PERFORMANCE FOR DEVELOPING EIGHT COUNTRIES BY GREY TOPSIS. Kırklareli Üniversitesi Sosyal Bilimler Dergisi, 3(2), 70-79.