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G7 Ülkelerinde İş Dünyası Sofistikasyonu Performansının Analizi: MIEXCF Tabanlı CODAS Yöntemi Uygulaması

Yıl 2025, Cilt: 7 Sayı: 1, 33 - 55, 31.03.2025
https://doi.org/10.54821/uiecd.1618200

Öz

Büyük ekonomilerin iş dünyası sofistikasyonu (BS) performansı, küresel BS ve küresel ekonomi üzerinde önemli bir etkiye sahiptir. Bu nedenle, bu ekonomilerin BS performanslarının analiz edilmesi kritik bir öneme sahiptir. Dolayısıyla bu çalışmanın amacı G7 ülkelerinin BS performansını, en güncel Küresel İnovasyon Endeksi-İş Dünyası Sofistikasyonu (GII-BS) kriterlerine dayalı olarak MIEXCF tabanlı CODAS yöntemiyle ölçmektedir. Ampirik bulgular, MIEXCF yöntemine göre "Bilgi İşçileri" ve "Bilgi Emme" kriterlerinin ülkeler için en önemli kriterler olduğunu ortaya koymaktadır. Bu nedenle, G7 ülkelerinin, küresel iş dünyası gelişimine ve ekonomiye daha büyük katkı sağlamak için "Bilgi İşçileri" ve "Bilgi Emme" BS kriterlerine daha fazla önem vermesi gerekmektedir. Ayrıca, MIEXCF tabanlı CODAS yöntemi kullanılarak ülkelerin BS performansları değerlendirilmiş ve performans sıralaması şu şekilde belirlenmiştir: ABD, Japonya, Birleşik Krallık, Fransa, Almanya, Kanada ve İtalya. Çalışma ayrıca ortalama BS performans değerini hesaplamış ve Almanya, Kanada ve İtalya'nın ortalama BS performans değerinin altında kaldığını ortaya koymuştur. Bu nedenle, bu ülkelerin küresel BS ve küresel ekonomiye daha fazla katkıda bulunabilmek için BS performanslarını iyileştirmesi gerektiği sonucuna varılmıştır. Metodolojik olarak, duyarlılık, karşılaştırmalı ve simülasyon analizleri, MIEXCF tabanlı CODAS yönteminin GII-BS kriterlerini kullanarak ülkelerin BS performansını ölçmede etkili bir şekilde kullanılabileceğini doğrulamaktadır.

Kaynakça

  • Aal, S. A., Shreyas, J., & Udayaprasad , P. K. (2024). Selecting optimal charcoal company using multi-criteria decision making methodology. Multicriteria Algorithms with Applications, 3, 15–22. https://doi.org/10.61356/j.mawa.2024.311561
  • Alexandroa, R., & Basrowi. (2024). The influence of macroeconomic infrastructure on supply chain smoothness and national competitiveness and its implications on a country's economic growth: evidence from BRICS countries. Uncertain Supply Chain Management, 12, 167–180. https://doi.org/10.5267/j.uscm.2023.10.007
  • Alkan, N., & Kahraman , C. (2024). CODAS extension using novel decomposed Pythagorean fuzzy sets: Strategy selection for IOT based sustainable supply chain system. Expert Systems with Applications, 237, 1-15. https://doi.org/10.1016/j.eswa.2023.121534
  • Alpar, R. (2017). Uygulamalı çok değişkenli istatistiksel yöntemler. Detay Yayıncılık.
  • Altıntaş, F. F. (2024). A novel method for assessing the weight coefficients of criteria within the framework of multi-criteria decision-making: Measurement relying on the impacts of an exponential curve function (MIEXCF). Gazi University Journal of Science Part A: Engineering and Innovation, 11(1), 173-202. https://doi.org/10.54287/gujsa.1419551
  • Amari, A., Moussaid, L., & Tallal, S. (2023). New parking lot selection approach based on the multi-criteria decision making (mcdm) methods: Health Criteria. Sustainability, 15, 1-18. https://doi.org/10.3390/su15020938
  • Amit, R., & Zott , C. (2020). Business model innovation strategy: Transformational concepts and tools for entrepreneurial leaders.Wiley.
  • Amusan, O. T., Nwulu, N. I., & Gbadamosi, S. L. (2024). Multi-criteria decision-based hybrid energy selection system using CRITIC weighted CODAS approach. Scientific African, 26, 1-12. https://doi.org/10.1016/j.sciaf.2024.e02372
  • Azim, A. B., Ali, A., Khan, A. S., Awwad, F. A., Ali, S., & Ismail, E. A. (2024). Applications of q-spherical fuzzy rough codas to the assessment of a problem ınvolving renewable energy site selection. IEEE, 12, 114100-114122. https://doi.org/10.1109/ACCESS.2024.3412193
  • Balotić, G., Paunović, S., & Mićić, J. (2016). Impact of the business sophistication ındicators on the real economic indicators. In International Scientific Conference: The Priority Directions of National Economy Developmen, 13-14 October 2016, University of Niš Publications.
  • Bazargan, A., Ghasemi, R., Ardebili, M. E., & Zarei, M. (2017). The relationship between higher education and training and business sophistication. Economic Review, 21(2), 319-341.
  • Brown, S., Bessant, J., & Jia, F. (2018). Strategic operations management. Routledge.
  • Ceko, E. (2022). A regressive analysis of relations between ınnovation and business. City Review Journal(11), 40-55.
  • Chandra, P. (2014). Strategic financial management: managing for value creation. McGraw Hill Education (India) Private Limited.
  • Cherunilam, F. (2015). Business policy and strategic management. Himalaya Publishing House.
  • Cornell University, INSEAD, & WIPO. (2016). The Global innovation index 2016: Winning with global innovation. Cornell University, INSEAD, and the World Intellectual Property Organization.
  • Cornell University, INSEAD, & WIPO. (2020). The global innovation index 2020: Who will finance innovation? Cornell University, INSEAD, and the World Intellectual Property.
  • Cuellar, L. P., & González, M. D. (2015). Cultural traits and business sophistication. Revista Tinerilor Economişti (The Young Economists Journal), 1(25), 49-56.
  • Çetingüç, B., Çalık, E., & Çalışır, F. (2020). The moderating effect of long-term orientation on the relationship among human capital research, In business sophistication, and knowledge & technology outputs (pp. 291-296. Springer.
  • Daum, C. (2020). Business strategy essentials you always wanted to know. Vibrant Publishers.
  • David, F. R., & David, M. E. (2022). Stratejik yönetim rekabet avantajı yaklaşımı, (İ. Şener and A. A. Karapolatgil Trans. Ed.). Palme Yayınevi.
  • Demir, G., Özyalçın, A. T., & Bircan, H. (2021). Çok kriterli karar verme yöntemleri ve ÇKKV yazılımı ile problem çözümü. Nobel.
  • Dinçer, Ö. (2013). Stratejik yönetim ve işletme politikası. Alfa Yayınları.
  • Doroudi, H., Goudarzi, F. H., & Kandel, B. K. (2022). The effect of the competitiveness ındex on economic growth, with an emphasis on institutional and structural variables: 10 selected countries exporting oil. Philosophy, Economics And Law Review., 2(2), 85-95. https://doi.org/10.31733/2786-491X-2022-2-85-95
  • Ecer, F. (2020). Çok kriterli karar verme. Seçkin Yayıncılık.
  • Elsayed, A., & Arain, B. (2024). A systematic approach for evaluating and selecting healthcare waste treatment devices using OWCM-CODAS and triangular neutrosophic sets. Neutrosophic Systems with Applications, 19, 67-79. https://doi.org/10.61356/j.nswa.2024.19325
  • Fälth, A., & Rañola, D. (2021). Women empowerment principles. UN Woman.
  • Fan, J., Yuan, Y., & Wu, M. (2024). Railway transportation scheme selection based a CODAS-COPRAS method in triangular dense fuzzy linguistic term lock environment. International Journal of Fuzzy Systems, 1-12. https://doi.org/10.1007/s40815-024-01778-0
  • Gaile-Sarkane, E., & Andersone, I. (2011). Modeling of consumer behavior for business sophistication. modeling of consumer behavior for business sophistication. In 15th World Multi-Conference.15-16 August 2011. Riga Technical University.
  • Ghosh, A. K., & Ghosh, A. (2022). Effective human resource development. Manas Publications.
  • Gigovič, L., Pamučar, D., Bajič, Z., & Milicevič, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots. Sustainability, 8(232), 1-30.
  • Hajnal, P. (2020). The G7/G8 system evolution, role and documentation. Routledge.
  • Henderson, I. (2017). Human resource management for mba and business masters. CIPD.
  • Hermanni, A. J. (2022). Business guide für strategisches management. Springer Gabler.
  • Hussain, R., & Hussain, Z. (2024). Belief and plausible divergence measures: A novel approach to multicriteria decision making with modified CODAS. Computational and Applied Mathematics, 43(329), 1-10. https://doi.org/10.1007/s40314-024-02781-9
  • Hysai, A., & Sulҫaj, K. (2024). Impact of innovation on economic growth in Balkan countries. AGORA International Journal of Economical Sciences, 18(1), 65-73.
  • Joshi, M., & Klein, J. R. (2018). Global Business. Oxford University Press.
  • Kannan, J., Jayakumar, V., & Pethaperumal, M. (2024). Advanced fuzzy-based decision-making: The linear diophantine fuzzy CODAS method for logistic specialist selection. Spectrum of Operational Research, 2(1), 41-60. https://doi.org/10.31181/sor2120259
  • Kavitha, S., Satheeshkumar, J., & Amudha, T. (2024). Multi-label feature selection using q-rung orthopair hesitant fuzzy MCDM approach extended to CODAS. Mathematics and Computers in Simulation, 222, 148-173. https://doi.org/10.1016/j.matcom.2023.07.032
  • Keshavarz-Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research, 3(50), 25-44.
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13, 1-20. https://doi.org/10.3390/sym13040525
  • Khargotra, R., Alam, T., Thu, K., András, K., & Singh, T. (2024). Optimization of design parameter of v-shaped perforated blocks in rectangular duct of solar air heater by using hybrid BWM-CODAS technique. Solar Energy Materials and Solar Cells, 264, 1-15. https://doi.org/10.1016/j.solmat.2023.112627
  • Kindersley, D. (2018). The business book: Big ideas simply explained.DK Publishing.
  • Kırıkkaleli, D., & Ozun, A. (2019). Innovation capacity, business sophistication and macroeconomic stability: empirical evidence from OECD countries. Journal of Business Economics and Management, 20(2), 351–367. https://doi.org/10.3846/jbem.2019.9602
  • Mariš, M. (2022). An empirical study of competitiveness and international economic growth: The case study of EU. Mathemetics in Education, Research and Applications, 2(8), 74-85. https://doi.org/10.15414/meraa.2022.08.02.74-85
  • Mussina, K. P., & Bachisse, M. (2018). Canonical correlation analysis between business sophistication and macroeconomic environment: A secondary study of countries global competitiveness. Revista ESPACIOS, 39(18), 1-10.
  • Oldani, C., & Wouters, J. (2018). The G7, anti globalism and the governance of globalization (global governance). Routledge.
  • Omonovich, T. B. (2023). The Role of increasing competitiveness in ensuring economic development. World Economics & Finance Bulletin (WEFB), 28, 145-150.
  • Pedro, F. X., & Rodrigues, R. G. (2022). The Impact of business sophistication on marketing knowledge. In Disruptive innovation and emerging technologies for business excellence in the service sector (pp. 130-263). IGI Global.
  • Rahayu, G. N. (2020). Correlation between technological readiness and business sophistication in global competitiveness. Journal of Industrial Engineering and Halal Industries (JIEHIS), 1(2), 110-120.
  • Razavi, S. M., Abdollahi, B., Ghasemi, R., & Shafie, H. (2012). Relationship between “Innovation” and “Business Sophistication”: A secondary analysis of countries global competitiveness. European Journal of Scientific Research, 79(1), 29-39.
  • Robosky, D. (2023). Strategic operations management: aligning processes with organizational goals. Independently published.
  • Salas-Velasco, M. (2018). Production efficiency measurement and its determinants across OECD countries: The role of business sophistication and innovation. Economic Analysis and Policy, 57, 60-73. https://doi.org/10.1016/j.eap.2017.11.003
  • Schwab, K., & WEF. (2015). The global competitiveness report 2015-2016. World Economic Forum.
  • Schwab, K., & WEF. (2017). The global competitiveness report 2017-2018. World Economic Forum.
  • Schwab, K., & WEF. (2018). The global competitiveness report 2018. World Economic Forum.
  • Schwab, K., & WEF. (2019). The global competitiveness report 2019. World Economic Forum.
  • Schwab, K., Zahidi, S., & WEF. (2020). The global competitiveness report 2020-how countries are performing on the road to recovery. World Economic Forum.
  • Siegfried, P. (2021). strategic management business cases and management concepts paperback. Norderstedt: BoD - Books on Demand.
  • Sofat, R., & Hiro, P. (2015). Strategic financial management. Prentice Hall.
  • Spender, J. C. (2014). Business strategy: Managing uncertainty, opportunity, and enterprise. Oxford University Press.
  • Suryaman, D. W., Kuncoro, H., & Sebayang, K. D. (2015). Interaction between the labour market effeciency with business sophistication in the dynamic global competitiveness in Southeast Asia. International Journal of Business, Economics and Law, 8(3), 19-24.
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  • Vesal, S. M., Nazari, M., Nazari, M., Hosseinzadeh, M., Shamsaddini, R., & Nawasen, K. (2013). The relationship between labor market efficiency and sophistication in global competitiveness. International Journal of Business and Management, 8(13), 83-92.
  • WIPO. (2021). Global innovation index 2021. World Intellectual Property Organization (WIPO).
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  • WIPO. (2023). Global innovation index 2023-innovation in the face of uncertainty. World Intellectual Property Organization.

Analysis of Business Sophistication Performance in G7 Countries: An Application of the MIEXCF-based CODAS Method

Yıl 2025, Cilt: 7 Sayı: 1, 33 - 55, 31.03.2025
https://doi.org/10.54821/uiecd.1618200

Öz

The business sophistication (BS) performance of major economies significantly influences global BS and the global economy. Consequently, analyzing the BS performance of these economies is crucial. Therefore, the aim of this study is to evaluate the BS performance of G7 countries using the MIEXCF-based CODAS method, based on the most recent Global Innovation Index - Business Sophistication (GII-BS) criteria. Empirical findings reveal that "Knowledge Workers" and "Knowledge Absorption" are the most significant criteria for countries, according to the MIEXCF method. Therefore, G7 countries should place greater emphasis on the "Knowledge Workers" and "Knowledge Absorption" BS criteria to make a greater contribution to global business development and the economy. Furthermore, the BS performance of countries was measured using the MIEXCF-based CODAS method, and the performance rankings were determined as follows: USA, Japan, UK, France, Germany, Canada, and Italy. Additionally, the study calculated the average BS performance value, and it was found that Germany, Canada, and Italy had below-average BS performance values. Therefore, it is concluded that these countries need to improve their BS performance to contribute more to global BS and the global economy. Methodologically, sensitivity, comparative, and simulation analyses indicate that the MIEXCF-based CODAS method can be effectively used to measure the BS performance of countries using the GII-BS criteria.

Kaynakça

  • Aal, S. A., Shreyas, J., & Udayaprasad , P. K. (2024). Selecting optimal charcoal company using multi-criteria decision making methodology. Multicriteria Algorithms with Applications, 3, 15–22. https://doi.org/10.61356/j.mawa.2024.311561
  • Alexandroa, R., & Basrowi. (2024). The influence of macroeconomic infrastructure on supply chain smoothness and national competitiveness and its implications on a country's economic growth: evidence from BRICS countries. Uncertain Supply Chain Management, 12, 167–180. https://doi.org/10.5267/j.uscm.2023.10.007
  • Alkan, N., & Kahraman , C. (2024). CODAS extension using novel decomposed Pythagorean fuzzy sets: Strategy selection for IOT based sustainable supply chain system. Expert Systems with Applications, 237, 1-15. https://doi.org/10.1016/j.eswa.2023.121534
  • Alpar, R. (2017). Uygulamalı çok değişkenli istatistiksel yöntemler. Detay Yayıncılık.
  • Altıntaş, F. F. (2024). A novel method for assessing the weight coefficients of criteria within the framework of multi-criteria decision-making: Measurement relying on the impacts of an exponential curve function (MIEXCF). Gazi University Journal of Science Part A: Engineering and Innovation, 11(1), 173-202. https://doi.org/10.54287/gujsa.1419551
  • Amari, A., Moussaid, L., & Tallal, S. (2023). New parking lot selection approach based on the multi-criteria decision making (mcdm) methods: Health Criteria. Sustainability, 15, 1-18. https://doi.org/10.3390/su15020938
  • Amit, R., & Zott , C. (2020). Business model innovation strategy: Transformational concepts and tools for entrepreneurial leaders.Wiley.
  • Amusan, O. T., Nwulu, N. I., & Gbadamosi, S. L. (2024). Multi-criteria decision-based hybrid energy selection system using CRITIC weighted CODAS approach. Scientific African, 26, 1-12. https://doi.org/10.1016/j.sciaf.2024.e02372
  • Azim, A. B., Ali, A., Khan, A. S., Awwad, F. A., Ali, S., & Ismail, E. A. (2024). Applications of q-spherical fuzzy rough codas to the assessment of a problem ınvolving renewable energy site selection. IEEE, 12, 114100-114122. https://doi.org/10.1109/ACCESS.2024.3412193
  • Balotić, G., Paunović, S., & Mićić, J. (2016). Impact of the business sophistication ındicators on the real economic indicators. In International Scientific Conference: The Priority Directions of National Economy Developmen, 13-14 October 2016, University of Niš Publications.
  • Bazargan, A., Ghasemi, R., Ardebili, M. E., & Zarei, M. (2017). The relationship between higher education and training and business sophistication. Economic Review, 21(2), 319-341.
  • Brown, S., Bessant, J., & Jia, F. (2018). Strategic operations management. Routledge.
  • Ceko, E. (2022). A regressive analysis of relations between ınnovation and business. City Review Journal(11), 40-55.
  • Chandra, P. (2014). Strategic financial management: managing for value creation. McGraw Hill Education (India) Private Limited.
  • Cherunilam, F. (2015). Business policy and strategic management. Himalaya Publishing House.
  • Cornell University, INSEAD, & WIPO. (2016). The Global innovation index 2016: Winning with global innovation. Cornell University, INSEAD, and the World Intellectual Property Organization.
  • Cornell University, INSEAD, & WIPO. (2020). The global innovation index 2020: Who will finance innovation? Cornell University, INSEAD, and the World Intellectual Property.
  • Cuellar, L. P., & González, M. D. (2015). Cultural traits and business sophistication. Revista Tinerilor Economişti (The Young Economists Journal), 1(25), 49-56.
  • Çetingüç, B., Çalık, E., & Çalışır, F. (2020). The moderating effect of long-term orientation on the relationship among human capital research, In business sophistication, and knowledge & technology outputs (pp. 291-296. Springer.
  • Daum, C. (2020). Business strategy essentials you always wanted to know. Vibrant Publishers.
  • David, F. R., & David, M. E. (2022). Stratejik yönetim rekabet avantajı yaklaşımı, (İ. Şener and A. A. Karapolatgil Trans. Ed.). Palme Yayınevi.
  • Demir, G., Özyalçın, A. T., & Bircan, H. (2021). Çok kriterli karar verme yöntemleri ve ÇKKV yazılımı ile problem çözümü. Nobel.
  • Dinçer, Ö. (2013). Stratejik yönetim ve işletme politikası. Alfa Yayınları.
  • Doroudi, H., Goudarzi, F. H., & Kandel, B. K. (2022). The effect of the competitiveness ındex on economic growth, with an emphasis on institutional and structural variables: 10 selected countries exporting oil. Philosophy, Economics And Law Review., 2(2), 85-95. https://doi.org/10.31733/2786-491X-2022-2-85-95
  • Ecer, F. (2020). Çok kriterli karar verme. Seçkin Yayıncılık.
  • Elsayed, A., & Arain, B. (2024). A systematic approach for evaluating and selecting healthcare waste treatment devices using OWCM-CODAS and triangular neutrosophic sets. Neutrosophic Systems with Applications, 19, 67-79. https://doi.org/10.61356/j.nswa.2024.19325
  • Fälth, A., & Rañola, D. (2021). Women empowerment principles. UN Woman.
  • Fan, J., Yuan, Y., & Wu, M. (2024). Railway transportation scheme selection based a CODAS-COPRAS method in triangular dense fuzzy linguistic term lock environment. International Journal of Fuzzy Systems, 1-12. https://doi.org/10.1007/s40815-024-01778-0
  • Gaile-Sarkane, E., & Andersone, I. (2011). Modeling of consumer behavior for business sophistication. modeling of consumer behavior for business sophistication. In 15th World Multi-Conference.15-16 August 2011. Riga Technical University.
  • Ghosh, A. K., & Ghosh, A. (2022). Effective human resource development. Manas Publications.
  • Gigovič, L., Pamučar, D., Bajič, Z., & Milicevič, M. (2016). The combination of expert judgment and GIS-MAIRCA analysis for the selection of sites for ammunition depots. Sustainability, 8(232), 1-30.
  • Hajnal, P. (2020). The G7/G8 system evolution, role and documentation. Routledge.
  • Henderson, I. (2017). Human resource management for mba and business masters. CIPD.
  • Hermanni, A. J. (2022). Business guide für strategisches management. Springer Gabler.
  • Hussain, R., & Hussain, Z. (2024). Belief and plausible divergence measures: A novel approach to multicriteria decision making with modified CODAS. Computational and Applied Mathematics, 43(329), 1-10. https://doi.org/10.1007/s40314-024-02781-9
  • Hysai, A., & Sulҫaj, K. (2024). Impact of innovation on economic growth in Balkan countries. AGORA International Journal of Economical Sciences, 18(1), 65-73.
  • Joshi, M., & Klein, J. R. (2018). Global Business. Oxford University Press.
  • Kannan, J., Jayakumar, V., & Pethaperumal, M. (2024). Advanced fuzzy-based decision-making: The linear diophantine fuzzy CODAS method for logistic specialist selection. Spectrum of Operational Research, 2(1), 41-60. https://doi.org/10.31181/sor2120259
  • Kavitha, S., Satheeshkumar, J., & Amudha, T. (2024). Multi-label feature selection using q-rung orthopair hesitant fuzzy MCDM approach extended to CODAS. Mathematics and Computers in Simulation, 222, 148-173. https://doi.org/10.1016/j.matcom.2023.07.032
  • Keshavarz-Ghorabaee, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2016). A new combinative distance-based assessment (CODAS) method for multi-criteria decision-making. Economic Computation and Economic Cybernetics Studies and Research, 3(50), 25-44.
  • Keshavarz-Ghorabaee, M., Amiri, M., Zavadskas, E. K., Turskis, Z., & Antucheviciene, J. (2021). Determination of objective weights using a new method based on the removal effects of criteria (MEREC). Symmetry, 13, 1-20. https://doi.org/10.3390/sym13040525
  • Khargotra, R., Alam, T., Thu, K., András, K., & Singh, T. (2024). Optimization of design parameter of v-shaped perforated blocks in rectangular duct of solar air heater by using hybrid BWM-CODAS technique. Solar Energy Materials and Solar Cells, 264, 1-15. https://doi.org/10.1016/j.solmat.2023.112627
  • Kindersley, D. (2018). The business book: Big ideas simply explained.DK Publishing.
  • Kırıkkaleli, D., & Ozun, A. (2019). Innovation capacity, business sophistication and macroeconomic stability: empirical evidence from OECD countries. Journal of Business Economics and Management, 20(2), 351–367. https://doi.org/10.3846/jbem.2019.9602
  • Mariš, M. (2022). An empirical study of competitiveness and international economic growth: The case study of EU. Mathemetics in Education, Research and Applications, 2(8), 74-85. https://doi.org/10.15414/meraa.2022.08.02.74-85
  • Mussina, K. P., & Bachisse, M. (2018). Canonical correlation analysis between business sophistication and macroeconomic environment: A secondary study of countries global competitiveness. Revista ESPACIOS, 39(18), 1-10.
  • Oldani, C., & Wouters, J. (2018). The G7, anti globalism and the governance of globalization (global governance). Routledge.
  • Omonovich, T. B. (2023). The Role of increasing competitiveness in ensuring economic development. World Economics & Finance Bulletin (WEFB), 28, 145-150.
  • Pedro, F. X., & Rodrigues, R. G. (2022). The Impact of business sophistication on marketing knowledge. In Disruptive innovation and emerging technologies for business excellence in the service sector (pp. 130-263). IGI Global.
  • Rahayu, G. N. (2020). Correlation between technological readiness and business sophistication in global competitiveness. Journal of Industrial Engineering and Halal Industries (JIEHIS), 1(2), 110-120.
  • Razavi, S. M., Abdollahi, B., Ghasemi, R., & Shafie, H. (2012). Relationship between “Innovation” and “Business Sophistication”: A secondary analysis of countries global competitiveness. European Journal of Scientific Research, 79(1), 29-39.
  • Robosky, D. (2023). Strategic operations management: aligning processes with organizational goals. Independently published.
  • Salas-Velasco, M. (2018). Production efficiency measurement and its determinants across OECD countries: The role of business sophistication and innovation. Economic Analysis and Policy, 57, 60-73. https://doi.org/10.1016/j.eap.2017.11.003
  • Schwab, K., & WEF. (2015). The global competitiveness report 2015-2016. World Economic Forum.
  • Schwab, K., & WEF. (2017). The global competitiveness report 2017-2018. World Economic Forum.
  • Schwab, K., & WEF. (2018). The global competitiveness report 2018. World Economic Forum.
  • Schwab, K., & WEF. (2019). The global competitiveness report 2019. World Economic Forum.
  • Schwab, K., Zahidi, S., & WEF. (2020). The global competitiveness report 2020-how countries are performing on the road to recovery. World Economic Forum.
  • Siegfried, P. (2021). strategic management business cases and management concepts paperback. Norderstedt: BoD - Books on Demand.
  • Sofat, R., & Hiro, P. (2015). Strategic financial management. Prentice Hall.
  • Spender, J. C. (2014). Business strategy: Managing uncertainty, opportunity, and enterprise. Oxford University Press.
  • Suryaman, D. W., Kuncoro, H., & Sebayang, K. D. (2015). Interaction between the labour market effeciency with business sophistication in the dynamic global competitiveness in Southeast Asia. International Journal of Business, Economics and Law, 8(3), 19-24.
  • Terzić, L. (2021). Revealing the effects of competitiveness and innovation on economic growth:Evidence from European leading and following countries. Theoretical and Applied Economics, 29(4), 19-30.
  • Velu, C. (2024). Business model innovation. Cambridge University Press.
  • Vesal, S. M., Nazari, M., Nazari, M., Hosseinzadeh, M., Shamsaddini, R., & Nawasen, K. (2013). The relationship between labor market efficiency and sophistication in global competitiveness. International Journal of Business and Management, 8(13), 83-92.
  • WIPO. (2021). Global innovation index 2021. World Intellectual Property Organization (WIPO).
  • WIPO. (2022). Global innovation index 2022-What is the future of innovation-driven growth? WIPO.
  • WIPO. (2023). Global innovation index 2023-innovation in the face of uncertainty. World Intellectual Property Organization.
Toplam 68 adet kaynakça vardır.

Ayrıntılar

Birincil Dil İngilizce
Konular İş Sistemleri (Diğer)
Bölüm Araştırma Makaleleri
Yazarlar

Furkan Fahri Altıntaş 0000-0002-0161-5862

Yayımlanma Tarihi 31 Mart 2025
Gönderilme Tarihi 12 Ocak 2025
Kabul Tarihi 14 Mart 2025
Yayımlandığı Sayı Yıl 2025 Cilt: 7 Sayı: 1

Kaynak Göster

APA Altıntaş, F. F. (2025). Analysis of Business Sophistication Performance in G7 Countries: An Application of the MIEXCF-based CODAS Method. International Journal of Business and Economic Studies, 7(1), 33-55. https://doi.org/10.54821/uiecd.1618200

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