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Determining Information Communication Technology Levels of G7 Countries: MEREC-CRITIC Integrated Weighted CoCoSo Methodology

Yıl 2024, Cilt: 11 Sayı: 1, 219 - 242, 31.03.2024
https://doi.org/10.30798/makuiibf.1281607

Öz

Rapid developments in computer technologies have revealed the concept of information communication technologies (ICT). Countries are improving and developing their infrastructure for information communication technologies. In this context, assessing countries' ICT levels is a critical issue. In the study prepared with this motivation, the ICT performance of G7 countries is analyzed regarding ICT employment, ICT investment, ICT added value, ICT goods export, internet access, and access to a computer from home. First, the relative weights of these criteria are calculated with MEREC and CRITIC objective weighting methods, and an aggregated relative weight is determined. Afterward, the CoCoSo method is utilized to determine the ICT performance levels of countries. The results reveal that the export of ICT goods (0.3137) and internet access (0.1581) are the foremost criteria for developing ICT levels in G7 countries. Additionally, regarding the findings, the USA (6.0238) and the UK (3.4215) are the best countries in terms of ICT development level. On the other hand, Italy and Canada are at the bottom.

Kaynakça

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G7 Ülkelerinin Bilgi İletişim Teknoloji Düzeylerini Belirleme: MEREC-CRITIC Entegre Ağırlıklı CoCoSo Metodolojisi

Yıl 2024, Cilt: 11 Sayı: 1, 219 - 242, 31.03.2024
https://doi.org/10.30798/makuiibf.1281607

Öz

Bilgisayar teknolojilerindeki hızlı gelişmeler, bilgi iletişim teknolojileri (BİT) kavramını ortaya çıkarmıştır. Devletler bilgi iletişim teknolojilerine yönelik altyapılarını iyileştirmek ve geliştirmek için adımlar atmaktadırlar. Bu bağlamda, ülkelerin BİT düzeylerini değerlendirmek kritik bir konudur. Bu motivasyonla hazırlanan çalışmada, G7 ülkelerinin BİT performansı BİT istihdam, BİT yatırım, BİT katma değer, BİT mal ihracı, internet erişimi ile evden bilgisayara erişim kriterlerine göre analiz edilmektedir. Önce, bu kriterlerin göreli ağırlıkları hem MEREC hem de CRITIC objektif ağırlıklandırma yöntemleri ile hesaplanmakta ve birleştirilmiş bir önem düzeyi belirlenmektedir. Daha sonra ise ülkelerin BİT performans düzeylerini belirlemek için CoCoSo yöntemi kullanılmaktadır. Elde edilen sonuçlar, BİT malları ihracı (0,3137) ile internet erişiminin (0,1581), G7 ülkelerinin BİT düzeylerinin gelişimi açısından en önemli kriterler olduğunu ortaya koymaktadır. Ayrıca bulgulara göre ABD (6,0238) ve İngiltere (3,4215), BİT gelişim düzeyi açısından en iyi ülkelerdir. Buna karşın İtalya ve Kanada ise son sıralarda yer almaktadırlar.

Kaynakça

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  • Afawubo, K., & Noglo, Y. A. (2022). ICT and entrepreneurship: A comparative analysis of developing, emerging and developed countries. Technological forecasting and social change, 175, 121312. https://doi.org/10.1016/j.techfore.2021.121312
  • Albiman, M. M., & Sulong, Z. (2017). The linear and non-linear impacts of ICT on economic growth, of disaggregate income groups within SSA region. Telecommunications Policy, 41(7-8), 555-572. https://doi.org/10.1016/j.telpol.2017.07.007
  • Altıntaş, F. F. (2021). G7 ülkelerinin bilgi performanslarının analizi: COCOSO yöntemi ile bir uygulama. Journal of Life Economics, 8(3), 337-347.
  • Artan, S., Hayaloğlu, P., & BALTACI, N. (2014). Bilgi ve iletişim teknolojilerindeki gelişmelerin iktisadi büyüme üzerindeki etkisi: Geçiş ekonomileri örneği. Atatürk Üniversitesi İktisadi ve İdari Bilimler Dergisi, 28(1), 199-214.
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  • Ecer, F. (2020). Çok kriterli karar verme geçmişten günümüze kapsamlı bir yaklaşım. Ankara: Seçkin Yayınevi.
  • Ecer, F. (2021a). A consolidated MCDM framework for performance assessment of battery electric vehicles based on ranking strategies. Renewable and Sustainable Energy Reviews, 143, 110916. https://doi.org/10.1016/j.rser.2021.110916
  • Ecer, F. (2021b). sürdürülebilir tedarikçi seçimi: FUCOM sübjektif ağırlıklandırma yöntemi temelli MAIRCA yaklaşımı. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 8(1), 26-48.
  • Ecer, F., & Aycin, E. (2022). Novel comprehensive MEREC weighting-based score aggregation model for measuring innovation performance: the case of G7 countries. Informatica, 1-31. https://doi.org/10.15388/22-INFOR494
  • Ecer, F., & Pamucar, D. (2022). A novel LOPCOW‐DOBI multi‐criteria sustainability performance assessment methodology: An application in developing country banking sector. Omega, 112, 102690. https://doi.org/10.1016/j.omega.2022.102690
  • Ecer, F., & Zolfani, S. H. (2022). Evaluating economic freedom via a multi-criteria MEREC-DNMA model-based composite system: case of OPEC countries. Technological and Economic Development of Economy, 28(4), 1158-1181. https://doi.org/10.3846/tede.2022.17152
  • Ecer, F., Küçükönder, H., Kaya, S. K., & Görçün, Ö. F. (2023). Sustainability performance analysis of micro-mobility solutions in urban transportation with a novel IVFNN-Delphi-LOPCOW-CoCoSo framework. Transportation Research Part A: Policy and Practice, 172, 103667. https://doi.org/10.1016/j.tra.2023.103667
  • Fernández-Portillo, A., Almodóvar-González, M., & Hernández-Mogollón, R. (2020). Impact of ICT development on economic growth. A study of OECD European union countries. Technology in Society, 63, 101420. https://doi.org/10.1016/j.techsoc.2020.101420
  • Habibi, F., & Zabardast, M. A. (2020). Digitalization, education and economic growth: A comparative analysis of Middle East and OECD countries. Technology in Society, 63, 101370. https://doi.org/10.1016/j.techsoc.2020.101370
  • Haseli, G., Bonab, S. R., Hajiaghaei-Keshteli, M., Ghoushchi, S. J., & Deveci, M. (2023). Fuzzy ZE-numbers Framework in Group Decision-making using the BCM and CoCoSo to Address Sustainable Urban Transportation. Information Sciences, 119809. https://doi.org/10.1016/j.ins.2023.119809
  • Huang, F., Teo, T., Sánchez-Prieto, J. C., García-Peñalvo, F. J., & Olmos-Migueláñez, S. (2019). Cultural values and technology adoption: A model comparison with university teachers from China and Spain. Computers & Education, 133, 69-81. https://doi.org/10.1016/j.compedu.2019.01.012
  • Huang, Y., Haseeb, M., Usman, M., & Ozturk, I. (2022). Dynamic association between ICT, renewable energy, economic complexity and ecological footprint: is there any difference between E-7 (developing) and G-7 (developed) countries?. Technology in Society, 68, 101853. https://doi.org/10.1016/j.techsoc.2021.101853
  • Jin, S., & Cho, C. M. (2015). Is ICT a new essential for national economic growth in an information society?. Government Information Quarterly, 32(3), 253-260. https://doi.org/10.1016/j.giq.2015.04.007
  • Karakara, A. A., & Osabuohien, E. S. (2019). Households' ICT access and bank patronage in West Africa: Empirical insights from Burkina Faso and Ghana. Technology in Society, 56, 116-125. https://doi.org/10.1016/j.techsoc.2018.09.010
  • 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(4), 525. https://doi.org/10.3390/sym13040525
  • Korucuk, S., Aytekin, A., Ecer, F., Karamaşa, Ç., & Zavadskas, E. K. (2022). Assessing green approaches and digital marketing strategies for twin transition via Fermatean fuzzy SWARA-COPRAS. Axioms, 11(12), 709. https://doi.org/10.3390/axioms11120709
  • Kumar, V., Kalita, K., Chatterjee, P., Zavadskas, E. K., & Chakraborty, S. (2022). A SWARA-CoCoSo-based approach for spray painting robot selection. Informatica, 33(1), 35-54.
  • Köse, E. (2021). Dijitalleşmenin büyüme, istihdam ve ticarete etkileri. Y. Bayraktutan, İ. Arslan, E. Dineri (Ed.) Dijital Dönüşüm ve Ekonomi içinde (28-53). Ekin Yayın Evi
  • Macedo, I. M. (2017). Predicting the acceptance and use of information and communication technology by older adults: An empirical examination of the revised UTAUT2. Computers in Human Behavior, 75, 935-948.
  • Merkevičius, J., & Yadav, R. (2019, April). Evaluation of ICT usages in virtual business by applying MCDM methods. In 22nd Conference for Young Researchers" Economics and Management".
  • Nair, M., Pradhan, R. P., & Arvin, M. B. (2020). Endogenous dynamics between R&D, ICT and economic growth: Empirical evidence from the OECD countries. Technology in Society, 62, 101315. https://doi.org/10.1016/j.techsoc.2020.101315
  • Nasri, S. A., Safaie, N., Sarabi, A., Eghbali, A., & Barkhordari, G. (2022). Performance evaluation of ICT companies using hybrid MCDM method in Iran. Mathematical Problems in Engineering, 2022.
  • Notaro, G. (2003). ICT and GDP Growth in the United Kingdom: A Sectoral Analysis.
  • Nurcan, Ece., & Çetin, G. (2022). Bilgi ve iletişim teknolojileri kullanımı, istihdam ve ekonomik büyüme ilişkisi. InTraders International Trade Academic Journal, 4(2), 149-162. https://doi.org/10.55065/intraders.1057927 OECD, (2017). Erişim adresi: https://doi.org/10.1787/04df17c2-en
  • Onur, A., Ekmekçi, İ., & Isık, A. H. (2021). Teknoloji takımları performanslarının AHP-PROMETHEE yöntemleri kullanarak ölçümü ve OECD ülkelerindeki ihracata etkisine yönelik bir çalışma. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 8(2), 931-958. https://doi.org/10.30798/makuiibf.858642
  • Özkan, G. S., & Çelik, H. (2018). Bilgi iletişim teknolojileri ile ekonomik büyüme arasındaki ilişki: Türkiye için bir uygulama. Uluslararası Ticaret ve Ekonomi Araştırmaları Dergisi, 2(1), 1-15. https://doi.org/10.30711/utead.405474
  • Özşahin, M., Coşkun, E., & Çallı, B. A. (2020). KOBİ’lerde dijitalleşmeyi etkileyen girişimci özellikleri ve örgütsel faktörler üzerine nitel bir araştırma: Yalova ili örneği. Mehmet Akif Ersoy Üniversitesi İktisadi ve İdari Bilimler Fakültesi Dergisi, 7(3), 511-539. https://doi.org/10.30798/makuiibf.690013
  • Qiang, C. Z. W., Pitt, A., & Ayers, S. (2004). Contribution of information and communication technologies to growth (Vol. 41181, No. 4). World Bank Publications. https://doi.org/10.1596/0-8213-5722-0
  • Saleh, S., Lei, R., Guo, W., & Elsayed, E. A. (2022, August). a survey on counterfeits in the information and communications technology (ICT) supply chain. In Proceedings of Seventh International Congress on Information and Communication Technology: ICICT 2022, London, Volume 1 (pp. 849-870). Singapore: Springer Nature Singapore. 10.1007/978-981-19-1607-6_75
  • Samargandi, N., Al Mamun, M., Sohag, K., & Alandejani, M. (2019). Women at work in Saudi Arabia: Impact of ICT diffusion and financial development. Technology in Society, 59, 101187. https://doi.org/10.1016/j.techsoc.2019.101187
  • Satıcı, S. (2022). MEREC temelli WASPAS yöntemiyle üniversitelerin girişimci ve yenilikçi performanslarının değerlendirilmesi. Girişimcilik ve Kalkınma Dergisi, 17(2), 106-128.
  • Sealy, W. U. (2003). Empowering development through e-governance: creating smart communities in small Island States. The International Information & Library Review, 35(2-4), 335-358. https://doi.org/10.1016/S1057-2317(03)00020-1
  • Serin, D., & İşcan, E. (2019). Bilgi ve iletişim teknolojilerinin verimlilik üzerine etkisi: Türkiye örneği. Verimlilik Dergisi, (3), 41-55.
  • Setiawan, H., Istiyanto, J. E., Wardoyo, R., & Santoso, P. (2016). The group decision support system to evaluate the ict project performance using the hybrid method of AHP, TOPSIS and Copeland score. International Journal of Advanced Computer Science and Applications, 7(4).
  • Shah, W. U. H., Hao, G., Yan, H., Yasmeen, R., Padda, I. U. H., & Ullah, A. (2022). The impact of trade, financial development and government integrity on energy efficiency: An analysis from G7-Countries. Energy, 255, 124507. https://doi.org/10.1016/j.energy.2022.124507
  • Silva, N. F., dos Santos, M., Gomes, C. F. S., & de Andrade, L. P. (2023). An integrated CRITIC and Grey Relational Analysis approach for investment portfolio selection. Decision Analytics Journal, 100285. https://doi.org/10.1016/j.dajour.2023.100285
  • Türkiye İhracatçılar Meclisi. (2021). İhracat Raporu, Erişim adresi https://tim.org.tr/files/downloads/Strateji_Raporlari/TIM_Ihracat_2021_Raporu.pdf
  • Torkayesh, A. E., & Torkayesh, S. E. (2021). Evaluation of information and communication technology development in G7 countries: An integrated MCDM approach. Technology in Society, 66, 101670. https://doi.org/10.1016/j.techsoc.2021.101670
  • Torkayesh, A. E., Ecer, F., Pamucar, D., & Karamaşa, Ç. (2021). Comparative assessment of social sustainability performance: Integrated data-driven weighting system and CoCoSo model. Sustainable Cities and Society, 71, 102975. https://doi.org/10.1016/j.scs.2021.102975
  • Toslak, M., Aktürk, B., & Ulutaş, A. (2022). MEREC ve WEDBA yöntemleri ile bir lojistik firmasının yıllara göre performansının değerlendirilmesi. Avrupa Bilim ve Teknoloji Dergisi, (33), 363-372. https://doi.org/10.31590/ejosat.1041106
  • Ulutaş, A., Karakuş, C. B., & Topal, A. (2020). Location selection for logistics center with fuzzy SWARA and CoCoSo methods. Journal of Intelligent & Fuzzy Systems, 38(4), 4693-4709. 10.3233/JIFS-191400
  • UNCTAD (2021). Technology and Innovation Report. Erişim adresi; https://unctad.org/page/technology-and-innovation-report-2021
  • Vu, K. M. (2011). ICT as a source of economic growth in the information age: Empirical evidence from the 1996–2005 period. Telecommunications policy, 35(4), 357-372. https://doi.org/10.1016/j.telpol.2011.02.008
  • Vu, K., Hanafizadeh, P., & Bohlin, E. (2020). ICT as a driver of economic growth: A survey of the literature and directions for future research. Telecommunications Policy, 44(2), 101922. https://doi.org/10.1016/j.telpol.2020.101922
  • WEF (2019). Future technologies that will drive Industry 4.0. Erişim adresi: https://www.weforum.org/agenda/2019/01/future-technologies-will-drive-industry-4-0/
  • Yaran Ögel, İ., Ecer, F., & Özgöz, A. A. (2022). Identifying the leading retailer-based food waste causes in different perishable fast-moving consumer goods’ categories: application of the F-LBWA methodology. Environmental Science and Pollution Research, 1-17. https://doi.org/10.1007/s11356-022-24500-9
  • Warr, B., & Ayres, R. U. (2012). Useful work and information as drivers of economic growth. Ecological Economics, 73, 93-102. https://doi.org/10.1016/j.ecolecon.2011.09.006
  • World Bank, Report On, “Information and Communication For Development (Ic4d) Extending Reach And Increasing Impact, Retrieved From, 2009. Erişim Adresi http://www.İnfodev.Org/En/Article.384.Html
  • Yaprakli, S., & Saglam, T. (2010). Türkiye’de bilgi iletişim teknolojileri ve ekonomik büyüme: ekonometrik bir analiz (1980-2008). Ege Akademik Bakış, 10(2), 575. DOI: 10.21121/eab.2010219637
  • Yazdani, M., Zarate, P., Kazimieras Zavadskas, E., & Turskis, Z. (2019). A combined compromise solution (CoCoSo) method for multi-criteria decision-making problems. Management Decision, 57(9), 2501-2519. https://doi.org/10.1108/MD-05-2017-0458
  • Yıldız, F. (2020). Bilgi ve iletişim teknolojileri (BİT) yaygınlaşmasının vergi gelirleri üzerindeki etkisi: OECD ülkeleri örneği. Vergi Raporu, (249), 193-213.
  • Zafar, S. Z., Zhilin, Q., Mabrouk, F., Ramirez-Asis, E., Alzoubi, H. M., Hishan, S. S., & Michel, M. (2022). Empirical linkages between ICT, tourism, and trade towards sustainable environment: evidence from BRICS countries. Economic Research-Ekonomska Istraživanja, 1-22. https://doi.org/10.1080/1331677X.2022.2127417
  • Zafar, S., Alamgir, Z., & Rehman, M. H. (2021). An effective blockchain evaluation system based on entropy-CRITIC weight method and MCDM techniques. Peer-to-Peer Networking and Applications, 14(5), 3110-3123. https://doi.org/10.1007/s12083-021-01173-8
  • Ze, F., Yu, W., Ali, A., Hishan, S. S., Muda, I., & Khudoykulov, K. (2023). Influence of natural resources, ICT, and financial globalization on economic growth: Evidence from G10 countries. Resources Policy, 81, 103254. https://doi.org/10.1016/j.resourpol.2022.103254 Žižović, M., Miljković, B., & Marinković, D. (2020). Objective methods for determining criteria weight coefficients: A modification of the CRITIC method. Decision Making: Applications in Management and Engineering, 3(2), 149-161. https://doi.org/10.31181/dmame2003149z
Toplam 73 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Araştırma, Bilim ve Teknoloji Politikası
Bölüm Araştırma Makaleleri
Yazarlar

Fatih Ecer 0000-0002-6174-3241

Elçin Güneş 0000-0002-7799-6104

Erken Görünüm Tarihi 29 Mart 2024
Yayımlanma Tarihi 31 Mart 2024
Gönderilme Tarihi 12 Nisan 2023
Yayımlandığı Sayı Yıl 2024 Cilt: 11 Sayı: 1

Kaynak Göster

APA Ecer, F., & Güneş, E. (2024). G7 Ülkelerinin Bilgi İletişim Teknoloji Düzeylerini Belirleme: MEREC-CRITIC Entegre Ağırlıklı CoCoSo Metodolojisi. Journal of Mehmet Akif Ersoy University Economics and Administrative Sciences Faculty, 11(1), 219-242. https://doi.org/10.30798/makuiibf.1281607