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YEŞİL DÖNÜŞÜM ARAŞTIRMALARININ KAVRAMSAL DÖNÜŞÜMÜ: EN TEMEL VE GÜNCEL ARAŞTIRMA KONULARININ BİBLİYOMETRİK ANALİZ YÖNTEMİ İLE TESPİT EDİLMESİ

Yıl 2023, Cilt: 11 Sayı: 2, 557 - 574, 31.12.2023
https://doi.org/10.52122/nisantasisbd.1377476

Öz

Özellikle son beş yılda yeşil dönüşüm konusunda yayımlanan bilimsel çalışma sayılarında belirgin bir arış söz konusudur. Fakat yeşil dönüşüm konusundaki kavramsallaştırma olgunluğa henüz erişemediği belirtilmiştir. Bu bağlamda araştırmada hem kavramsal boşluğun doldurulmasına zemin hazırlamak hem de yeşil dönüşüm konusunda gelecekte yapılabilecek araştırmalar için ipuçları sağlamak adına co-word ve SNA (social network analysis) kullanılarak bir bibliyometrik analiz yapılmıştır. Bu bağlamda araştırmada SCOPUS veri tabanın yeşil dönüşüm hakkında yayınlanmış bilimsel makaleler kullanılmıştır. Araştırmada bibliyometrik analiz yöntemlerinden ortak kelime analizi, SNA ve bilimsel haritalama yöntemleri kullanılmıştır. Ortak kelime analizi ve bilimsel haritalama için vosviewer yazılımından, SNA için ise PAJEK yazılımdan faydalanılmıştır. Analizler sonucunda alandaki en temel araştırma konularının sustainability, sustainable development, china, environmental performance, green innovation, digital economy, green credit policy ve spatial durbin model olduğu görülmüştür. Ayrıca yeşil dönüşüm çalışmalarındaki en temel araştırma konuları arasındaki en güncel araştırma konularının green credit policy ve green innovation oldukları görülmüştür. Çalışmanın sonuç kısmında güncel konulara dair gelecekte yapılabilcek araştırmalar için öneriler sunulmuştur.

Teşekkür

Destek ve ilginiz için çok teşekkür eder, saygılarımı sunarım.

Kaynakça

  • Ahmad, B., Shafique, I., Qammar, A., Ercek, M., & Kalyar, M. N. (2022). Prompting green product and process innovation: Examining the effects of green transformational leadership and dynamic capabilities. Technology Analysis & Strategic Management, 1-13.
  • Andersen, J. P. (2023). Field-level differences in paper and author characteristics across all fields of science in Web of Science, 2000–2020. Quantitative Science Studies, 1-38.
  • Annarelli, A., Battistella, C., Nonino, F., Parida, V., & Pessot, E. (2021). Literature review on digitalization capabilities: Co-citation analysis of antecedents, conceptualization and consequences. Technological Forecasting and Social Change, 166, 120635
  • Baker, H. K., Kumar, S., & Pattnaik, D. (2021). Twenty-five years of the journal of corporate finance: a scientometric analysis. Journal of Corporate Finance, 66, 101572.
  • Begum, S., Ashfaq, M., Xia, E., & Awan, U. (2022). Does green transformational leadership lead to green innovation? The role of green thinking and creative process engagement. Business Strategy and the Environment, 31(1), 580-597.
  • Bendig, D., Kleine-Stegemann, L., Schulz, C., & Eckardt, D. (2022). The effect of green startup investments on incumbents’ green innovation output. Journal of Cleaner Production, 376, 134316.
  • Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual review of information science and technology, 37(1), 179-255.
  • Cheba, K., Bąk, I., Szopik-Depczyńska, K., & Ioppolo, G. (2022). Directions of green transformation of the European Union countries. Ecological Indicators, 136, 108601.
  • Chen, X., Chen, J., Wu, D., Xie, Y., & Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia computer science, 91, 547-555.
  • Chen, Y. S., Lai, S. B., & Wen, C. T. (2006). The influence of green innovation performance on corporate advantage in Taiwan. Journal of business ethics, 67, 331-339.
  • Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402.
  • Cui, R., Wang, J., & Zhou, C. (2023). Exploring the linkages of green transformational leadership, organizational green learning, and radical green innovation. Business Strategy and the Environment, 32(1), 185-199.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
  • Feng, J., Zhang, Y. Q., & Zhang, H. (2017). Improving the co-word analysis method based on semantic distance. Scientometrics, 111, 1521-1531.
  • Gao, D., Mo, X., Duan, K., & Li, Y. (2022). Can Green Credit Policy Promote Firms’ Green Innovation? Evidence from China. Sustainability, 14(7), 3911.
  • Ge, W., Xu, Y., Razzaq, A., Liu, G., Su, X., Yang, X., & Ran, Q. (2023). What drives the green transformation of enterprises? A case of carbon emissions trading pilot policy in China. Environmental Science and Pollution Research, 30(19), 56743-56758.
  • Gedminaitė-Raudonė, Ž., Lankauskienė, R., & Simonaitytė, V. (2022). Pathway to Green Transformation in Lithuania: Biogas Production from Manure and Waste. Energies, 15(9), 2989.
  • Hosseini, S., Baziyad, H., Norouzi, R., Jabbedari Khiabani, S., Gidófalvi, G., Albadvi, A., ... & Seyedabrishami, S. (2021). Mapping the intellectual structure of GIS-T field (2008–2019): A dynamic co-word analysis. Scientometrics, 126, 2667-2688.
  • Igamı, M. P., Bressıanı, J. C., & Mugnaini, R. (2014). A new model to identify the productivity of theses in terms of articles using co-word analysis. Journal of Scientometric Research. 3(1).
  • Jović, M., Tijan, E., Brčić, D., & Pucihar, A. (2022). Digitalization in maritime transport and seaports: bibliometric, content and thematic analysis. Journal of Marine Science and Engineering, 10(4), 486.
  • Khan, G. F., & Wood, J. (2015). Information technology management domain: emerging themes and keyword analysis. Scientometrics, 105, 959-972.
  • Khan, M. A., Pattnaik, D., Ashraf, R., Ali, I., Kumar, S., & Donthu, N. (2021). Value of special issues in the journal of business research: A bibliometric analysis. Journal of business research, 125, 295-313.
  • Kumar, S., Sureka, R., Lim, W. M., Kumar Mangla, S., & Goyal, N. (2021). What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment. Business Strategy and the Environment, 30(8), 3454-3469.
  • Li, X., Dai, J., Li, J., He, J., Liu, X., Huang, Y., & Shen, Q. (2022). Research on the impact of enterprise green development behavior: a meta-analytic approach. Behavioral Sciences, 12(2), 35.
  • Lin, B., & Pan, T. (2023). Financing decision of heavy pollution enterprises under green credit policy: Based on the perspective of signal transmission and supply chain transmission. Journal of Cleaner Production, 137454.
  • Liu, G. Y., Hu, J. M., & Wang, H. L. (2012). A co-word analysis of digital library field in China. Scientometrics, 91(1), 203-217.
  • Niu, H., Zhao, X., Luo, Z., Gong, Y., & Zhang, X. (2022). Green credit and enterprise green operation: Based on the perspective of enterprise green transformation. Frontiers in Psychology, 13, 1041798.
  • Otte, E., & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441-453.
  • Porter, M. E., & Linde, C. V. D. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of economic perspectives, 9(4), 97-118.
  • Pourhatami, A., Kaviyani-Charati, M., Kargar, B., Baziyad, H., Kargar, M., & Olmeda-Gómez, C. (2021). Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis. Scientometrics, 126(8), 6625-6657.
  • Prakash, S., Kumar, S., Soni, G., Mahto, R. V., & Pandey, N. (2022). A decade of the international journal of lean six sigma: bibliometric overview. International Journal of Lean Six Sigma, 13(2), 295-341.
  • Ren, S., Liu, Z., Zhanbayev, R., & Du, M. (2022). Does the internet development put pressure on energy-saving potential for environmental sustainability? Evidence from China. Journal of Economic Analysis, 1(1), 50-65.
  • Romo-Fernández, L. M., Guerrero-Bote, V. P., & Moya-Anegón, F. (2013). Co-word based thematic analysis of renewable energy (1990–2010). Scientometrics, 97, 743-765.
  • Schmitz, H. (2015). Green transformation. The politics of green transformations, 170.
  • Shen, J., Yang, Y., Liu, W., & Shen, Y. (2022, March). The Green Transition of the Energy Industry: How to Define the Role of the Government. In 2022 6th International Conference on Green Energy and Applications (ICGEA) (pp. 1-7). IEEE.
  • Singh, S. K., Del Giudice, M., Chierici, R., & Graziano, D. (2020). Green innovation and environmental performance: The role of green transformational leadership and green human resource management. Technological forecasting and social change, 150, 119762.
  • Suriyankietkaew, S., & Petison, P. (2019). A retrospective and foresight: Bibliometric review of international research on strategic management for sustainability, 1991–2019. Sustainability, 12(1), 91.
  • Şehitoğlu, Y., Şengüllendi, M. F., ve Bilgetürk, M. (2022). Structure of Human Resource Management in The Information Technology Field: A Bibliometric Analysis. Управленец, 13(2): 85-103.
  • Şengüllendi, M. F. (2021). Dynamic of the evaluation of social entrepreneurship concept: a bibliometric analysis. In Creating Social Value Through Social Entrepreneurship (pp. 32-55). IGI Global.
  • Tian, C., Li, X., Xiao, L., & Zhu, B. (2022). Exploring the impact of green credit policy on green transformation of heavy polluting industries. Journal of Cleaner Production, 335, 130257.
  • Vargas-Hernández, J. G., Rakowska, J., & Vargas-González, O. C. (2022). Green economic development as the framework for green finance and green investment. Economic and Regional Studies/Studia Ekonomiczne i Regionalne, 15(3), 304-322.
  • Wallin, J. A. (2005). Bibliometric methods: pitfalls and possibilities. Basic & clinical pharmacology & toxicology, 97(5), 261-275.
  • Wu, H. (2021). The role of internet development on energy intensity in China: evidence from a spatial econometric analysis. Available at SSRN 3811553.
  • Wu, S., Zhou, X., & Zhu, Q. (2023). Green credit and enterprise environmental and economic performance: The mediating role of eco-innovation. Journal of Cleaner Production, 382, 135248.
  • Xu, X., & Li, J. (2020). Asymmetric impacts of the policy and development of green credit on the debt financing cost and maturity of different types of enterprises in China. Journal of Cleaner Production, 264, 121574.
  • Yang, D., Jiang, W., & Zhao, W. (2019). Proactive environmental strategy, innovation capability, and stakeholder integration capability: A mediation analysis. Business Strategy and the Environment, 28(8), 1534-1547.
  • Yu, Z., & Khan, S. A. R. (2022). Green supply chain network optimization under random and fuzzy environment. International Journal of Fuzzy Systems, 1-12.
  • Yuan, R., Li, C., Li, N., Khan, M. A., Sun, X., & Khaliq, N. (2021). Can mixed-ownership reform drive the green transformation of SOEs?. Energies, 14(10), 2964.
  • Zhang, M., Zhang, X., Song, Y., & Zhu, J. (2022). Exploring the impact of green credit policies on corporate financing costs based on the data of Chinese A-share listed companies from 2008 to 2019. Journal of Cleaner Production, 375, 134012.
  • Zhang, Q., Xu, L., Wang, K., & Shi, X. (2021). What effect did the Green Credit Policy have on China's energy or emission intensive firms?. International Journal of Emerging Markets, (ahead-of-print).
  • Zhang, Y., Sun, Z., Sun, M., & Zhou, Y. (2022). The effective path of green transformation of heavily polluting enterprises promoted by green merger and acquisition—Qualitative comparative analysis based on fuzzy sets. Environmental Science and Pollution Research, 29(42), 63277-63293.

CONCEPTUAL TRANSFORMATION OF GREEN TRANSFORMATION RESEARCH: IDENTIFICATION OF THE MOST BASIC AND CURRENT RESEARCH TOPICS BY BIBLIOMETRIC ANALYSIS

Yıl 2023, Cilt: 11 Sayı: 2, 557 - 574, 31.12.2023
https://doi.org/10.52122/nisantasisbd.1377476

Öz

Especially in the last five years, there has been a significant increase in the number of scientific studies published on green transformation. However, it is stated that the conceptualization of green transformation has not yet reached maturity. In this context, a bibliometric analysis was conducted using co-word and SNA (social network analysis) in order to prepare the ground for filling the conceptual gap and to provide clues for future research on green transformation. In this context, scientific articles published on green transformation in the SCOPUS database were used in the research. Among the bibliometric analysis methods, co-word analysis, SNA and scientific mapping methods were used in the research. VOSviewer software was used for common word analysis and scientific mapping, and PAJEK software was used for SNA. As a result of the analysis, it was seen that the main research topics in the field are sustainability, sustainable development, china, environmental performance, green innovation, digital economy, green credit policy and spatial durbin model. In addition, the most current research topics among the most basic research topics in green transformation studies are green credit policy and green innovation. In the conclusion of the study, suggestions for future research on current issues are presented.

Kaynakça

  • Ahmad, B., Shafique, I., Qammar, A., Ercek, M., & Kalyar, M. N. (2022). Prompting green product and process innovation: Examining the effects of green transformational leadership and dynamic capabilities. Technology Analysis & Strategic Management, 1-13.
  • Andersen, J. P. (2023). Field-level differences in paper and author characteristics across all fields of science in Web of Science, 2000–2020. Quantitative Science Studies, 1-38.
  • Annarelli, A., Battistella, C., Nonino, F., Parida, V., & Pessot, E. (2021). Literature review on digitalization capabilities: Co-citation analysis of antecedents, conceptualization and consequences. Technological Forecasting and Social Change, 166, 120635
  • Baker, H. K., Kumar, S., & Pattnaik, D. (2021). Twenty-five years of the journal of corporate finance: a scientometric analysis. Journal of Corporate Finance, 66, 101572.
  • Begum, S., Ashfaq, M., Xia, E., & Awan, U. (2022). Does green transformational leadership lead to green innovation? The role of green thinking and creative process engagement. Business Strategy and the Environment, 31(1), 580-597.
  • Bendig, D., Kleine-Stegemann, L., Schulz, C., & Eckardt, D. (2022). The effect of green startup investments on incumbents’ green innovation output. Journal of Cleaner Production, 376, 134316.
  • Börner, K., Chen, C., & Boyack, K. W. (2003). Visualizing knowledge domains. Annual review of information science and technology, 37(1), 179-255.
  • Cheba, K., Bąk, I., Szopik-Depczyńska, K., & Ioppolo, G. (2022). Directions of green transformation of the European Union countries. Ecological Indicators, 136, 108601.
  • Chen, X., Chen, J., Wu, D., Xie, Y., & Li, J. (2016). Mapping the research trends by co-word analysis based on keywords from funded project. Procedia computer science, 91, 547-555.
  • Chen, Y. S., Lai, S. B., & Wen, C. T. (2006). The influence of green innovation performance on corporate advantage in Taiwan. Journal of business ethics, 67, 331-339.
  • Cobo, M. J., López‐Herrera, A. G., Herrera‐Viedma, E., & Herrera, F. (2011). Science mapping software tools: Review, analysis, and cooperative study among tools. Journal of the American Society for information Science and Technology, 62(7), 1382-1402.
  • Cui, R., Wang, J., & Zhou, C. (2023). Exploring the linkages of green transformational leadership, organizational green learning, and radical green innovation. Business Strategy and the Environment, 32(1), 185-199.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., & Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of Business Research, 133, 285-296.
  • Feng, J., Zhang, Y. Q., & Zhang, H. (2017). Improving the co-word analysis method based on semantic distance. Scientometrics, 111, 1521-1531.
  • Gao, D., Mo, X., Duan, K., & Li, Y. (2022). Can Green Credit Policy Promote Firms’ Green Innovation? Evidence from China. Sustainability, 14(7), 3911.
  • Ge, W., Xu, Y., Razzaq, A., Liu, G., Su, X., Yang, X., & Ran, Q. (2023). What drives the green transformation of enterprises? A case of carbon emissions trading pilot policy in China. Environmental Science and Pollution Research, 30(19), 56743-56758.
  • Gedminaitė-Raudonė, Ž., Lankauskienė, R., & Simonaitytė, V. (2022). Pathway to Green Transformation in Lithuania: Biogas Production from Manure and Waste. Energies, 15(9), 2989.
  • Hosseini, S., Baziyad, H., Norouzi, R., Jabbedari Khiabani, S., Gidófalvi, G., Albadvi, A., ... & Seyedabrishami, S. (2021). Mapping the intellectual structure of GIS-T field (2008–2019): A dynamic co-word analysis. Scientometrics, 126, 2667-2688.
  • Igamı, M. P., Bressıanı, J. C., & Mugnaini, R. (2014). A new model to identify the productivity of theses in terms of articles using co-word analysis. Journal of Scientometric Research. 3(1).
  • Jović, M., Tijan, E., Brčić, D., & Pucihar, A. (2022). Digitalization in maritime transport and seaports: bibliometric, content and thematic analysis. Journal of Marine Science and Engineering, 10(4), 486.
  • Khan, G. F., & Wood, J. (2015). Information technology management domain: emerging themes and keyword analysis. Scientometrics, 105, 959-972.
  • Khan, M. A., Pattnaik, D., Ashraf, R., Ali, I., Kumar, S., & Donthu, N. (2021). Value of special issues in the journal of business research: A bibliometric analysis. Journal of business research, 125, 295-313.
  • Kumar, S., Sureka, R., Lim, W. M., Kumar Mangla, S., & Goyal, N. (2021). What do we know about business strategy and environmental research? Insights from Business Strategy and the Environment. Business Strategy and the Environment, 30(8), 3454-3469.
  • Li, X., Dai, J., Li, J., He, J., Liu, X., Huang, Y., & Shen, Q. (2022). Research on the impact of enterprise green development behavior: a meta-analytic approach. Behavioral Sciences, 12(2), 35.
  • Lin, B., & Pan, T. (2023). Financing decision of heavy pollution enterprises under green credit policy: Based on the perspective of signal transmission and supply chain transmission. Journal of Cleaner Production, 137454.
  • Liu, G. Y., Hu, J. M., & Wang, H. L. (2012). A co-word analysis of digital library field in China. Scientometrics, 91(1), 203-217.
  • Niu, H., Zhao, X., Luo, Z., Gong, Y., & Zhang, X. (2022). Green credit and enterprise green operation: Based on the perspective of enterprise green transformation. Frontiers in Psychology, 13, 1041798.
  • Otte, E., & Rousseau, R. (2002). Social network analysis: a powerful strategy, also for the information sciences. Journal of Information Science, 28(6), 441-453.
  • Porter, M. E., & Linde, C. V. D. (1995). Toward a new conception of the environment-competitiveness relationship. Journal of economic perspectives, 9(4), 97-118.
  • Pourhatami, A., Kaviyani-Charati, M., Kargar, B., Baziyad, H., Kargar, M., & Olmeda-Gómez, C. (2021). Mapping the intellectual structure of the coronavirus field (2000–2020): a co-word analysis. Scientometrics, 126(8), 6625-6657.
  • Prakash, S., Kumar, S., Soni, G., Mahto, R. V., & Pandey, N. (2022). A decade of the international journal of lean six sigma: bibliometric overview. International Journal of Lean Six Sigma, 13(2), 295-341.
  • Ren, S., Liu, Z., Zhanbayev, R., & Du, M. (2022). Does the internet development put pressure on energy-saving potential for environmental sustainability? Evidence from China. Journal of Economic Analysis, 1(1), 50-65.
  • Romo-Fernández, L. M., Guerrero-Bote, V. P., & Moya-Anegón, F. (2013). Co-word based thematic analysis of renewable energy (1990–2010). Scientometrics, 97, 743-765.
  • Schmitz, H. (2015). Green transformation. The politics of green transformations, 170.
  • Shen, J., Yang, Y., Liu, W., & Shen, Y. (2022, March). The Green Transition of the Energy Industry: How to Define the Role of the Government. In 2022 6th International Conference on Green Energy and Applications (ICGEA) (pp. 1-7). IEEE.
  • Singh, S. K., Del Giudice, M., Chierici, R., & Graziano, D. (2020). Green innovation and environmental performance: The role of green transformational leadership and green human resource management. Technological forecasting and social change, 150, 119762.
  • Suriyankietkaew, S., & Petison, P. (2019). A retrospective and foresight: Bibliometric review of international research on strategic management for sustainability, 1991–2019. Sustainability, 12(1), 91.
  • Şehitoğlu, Y., Şengüllendi, M. F., ve Bilgetürk, M. (2022). Structure of Human Resource Management in The Information Technology Field: A Bibliometric Analysis. Управленец, 13(2): 85-103.
  • Şengüllendi, M. F. (2021). Dynamic of the evaluation of social entrepreneurship concept: a bibliometric analysis. In Creating Social Value Through Social Entrepreneurship (pp. 32-55). IGI Global.
  • Tian, C., Li, X., Xiao, L., & Zhu, B. (2022). Exploring the impact of green credit policy on green transformation of heavy polluting industries. Journal of Cleaner Production, 335, 130257.
  • Vargas-Hernández, J. G., Rakowska, J., & Vargas-González, O. C. (2022). Green economic development as the framework for green finance and green investment. Economic and Regional Studies/Studia Ekonomiczne i Regionalne, 15(3), 304-322.
  • Wallin, J. A. (2005). Bibliometric methods: pitfalls and possibilities. Basic & clinical pharmacology & toxicology, 97(5), 261-275.
  • Wu, H. (2021). The role of internet development on energy intensity in China: evidence from a spatial econometric analysis. Available at SSRN 3811553.
  • Wu, S., Zhou, X., & Zhu, Q. (2023). Green credit and enterprise environmental and economic performance: The mediating role of eco-innovation. Journal of Cleaner Production, 382, 135248.
  • Xu, X., & Li, J. (2020). Asymmetric impacts of the policy and development of green credit on the debt financing cost and maturity of different types of enterprises in China. Journal of Cleaner Production, 264, 121574.
  • Yang, D., Jiang, W., & Zhao, W. (2019). Proactive environmental strategy, innovation capability, and stakeholder integration capability: A mediation analysis. Business Strategy and the Environment, 28(8), 1534-1547.
  • Yu, Z., & Khan, S. A. R. (2022). Green supply chain network optimization under random and fuzzy environment. International Journal of Fuzzy Systems, 1-12.
  • Yuan, R., Li, C., Li, N., Khan, M. A., Sun, X., & Khaliq, N. (2021). Can mixed-ownership reform drive the green transformation of SOEs?. Energies, 14(10), 2964.
  • Zhang, M., Zhang, X., Song, Y., & Zhu, J. (2022). Exploring the impact of green credit policies on corporate financing costs based on the data of Chinese A-share listed companies from 2008 to 2019. Journal of Cleaner Production, 375, 134012.
  • Zhang, Q., Xu, L., Wang, K., & Shi, X. (2021). What effect did the Green Credit Policy have on China's energy or emission intensive firms?. International Journal of Emerging Markets, (ahead-of-print).
  • Zhang, Y., Sun, Z., Sun, M., & Zhou, Y. (2022). The effective path of green transformation of heavily polluting enterprises promoted by green merger and acquisition—Qualitative comparative analysis based on fuzzy sets. Environmental Science and Pollution Research, 29(42), 63277-63293.
Toplam 51 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Beşeri Coğrafya (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Muhammet Fatih Şengüllendi 0000-0002-6807-6947

Yasin Şehitoğlu 0000-0003-0074-6446

Yayımlanma Tarihi 31 Aralık 2023
Gönderilme Tarihi 17 Ekim 2023
Kabul Tarihi 23 Aralık 2023
Yayımlandığı Sayı Yıl 2023 Cilt: 11 Sayı: 2

Kaynak Göster

APA Şengüllendi, M. F., & Şehitoğlu, Y. (2023). YEŞİL DÖNÜŞÜM ARAŞTIRMALARININ KAVRAMSAL DÖNÜŞÜMÜ: EN TEMEL VE GÜNCEL ARAŞTIRMA KONULARININ BİBLİYOMETRİK ANALİZ YÖNTEMİ İLE TESPİT EDİLMESİ. Nişantaşı Üniversitesi Sosyal Bilimler Dergisi, 11(2), 557-574. https://doi.org/10.52122/nisantasisbd.1377476

Nişantaşı Üniversitesi kurumsal yayınıdır.