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Endüstriyel Kümelenmeler ve Dijitalleşme Üzerine Araştırmalar Hakkında Bibliyometrik Bir Analiz

Yıl 2024, Cilt: 3 Sayı: 1, 1 - 18, 08.08.2024

Öz

Dijital teknolojilerin yarattığı teknolojik değişim hayatın her alanında olduğu gibi endüstriyel kümelerde de karşımıza çıkmaktadır. Dijitalleşme ve sanallaşma ile ilgili endüstriyel kümelenme çalışmaları sınırlı olsa da son birkaç yıldır popüler hale gelmeye başlamıştır. Bu bağlamda çalışmanın amacı “endüstriyel kümelenme” ile “dijital/sanal” kavramlarının yer aldığı çalışmaların taranması ve yıllara göre yoğunlaşan konuların ve eğilimlerin belirlenmesidir. Çalışmada Web of Science veri tabanından elde edilen “dijital”, “sanal” ve “endüstriyel kümelenme” ile ilgili 137 çalışma, VOSviewer görselleştirme araçları aracılığıyla ortak yazarlık analizi, kaynak atıf analizi, ülke bazında atıf analizi, anahtar sözcük analizi ve bibliyografik eşleştirme analizi gerçekleşmiştir. Bu bibliyografik haritalama, yazarların ve ülkelerin katkılarının yanı sıra zaman içindeki işbirliğini göstermektedir. Ayrıca bibliyometrik analiz aynı zamanda bu araştırma alanında ortaya çıkan alanları, konuları ve eğilimleri de ortaya çıkarmıştır. Araştırmanın bulguları, ileride endüstriyel kümelenme ile ilgili çalışma yapacak akademisyenlere akademik kaynakların tespiti ve yıllara göre eğilimlerin gözlenmesi konusunda katkı sağlayacağı düşünülmektedir.

Kaynakça

  • Banger, G. (2018). Endüstri 4.0 uygulama ve dönüşüm rehberi. Dorlion Yayınları. Ankara.
  • Broz, T., Buturac, G., and Parežanin, M. (2020). Digital transformation and economic cooperation: The case of Western Balkan countries. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 38(2), 697-722.
  • Chang, K., Zhang, H. and Li, B. The Impact of Digital Economy and Industrial Agglomeration on the Changes of Industrial Structure in the Yangtze River Delta. J Knowl Econ (2023). https://doi.org/10.1007/s13132-023-01448-w
  • Chen, J. (2022). Research on Power Enhancement of High-quality Development of China's Economy under the Background of Digital Economy.
  • Cheng, C., and Huang, H. (2021). Big data and industrial innovation progress in Jiangxi Province incremental effect highlights enabling digital economy cultivation. In Journal of Physics: Conference Series 1852(2). IOP Publishing.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., and Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
  • Ellegaard, O. (2018). The application of bibliometric analysis: disciplinary and user aspects. Scientometrics, 116(1), 181-202.
  • Fernandez-Escobedo, R., Eguía-Peña, B., and Aldaz-Odriozola, L. (2023). Economic agglomeration in the age of Industry 4.0: developing a digital industrial cluster as a new policy tool for the digital world. Competitiveness Review: An International Business Journal.
  • Hotamışlı, M., and Erem, I. (2014). Muhasebe ve Finansman Dergisi’nde yayınlanan makalelerin bibliyometrik analizi. Muhasebe ve finansman dergisi, (63), 1-20.
  • Ismail, M. H., Khater, M., Zaki, M., (2017), Digital Business Transformation and Strategy: What Do We Know So Far., Cambridge Service Alliance.
  • Jackson, N. C. (2019). Managing for competency with innovation change in higher education: Examining the pitfalls and pivots of digital transformation. Business Horizons, 62(6), 761-772.
  • Jin, J., Ma, L., and Ye, X. (2020). Digital transformation strategies for existed firms: from the perspectives of data ownership and key value propositions. Asian Journal of Technology Innovation, 28(1), 77-93.
  • Kim, H., Hwang, S. J., and Yoon, W. (2023). Industry cluster, organizational diversity, and innovation. International Journal of Innovation Studies, 7(3), 187-195.
  • Koseoglu, M. A. (2016). Growth and structure of authorship and co-authorship network in the strategic management realm: Evidence from the Strategic Management Journal. BRQ Business Research Quarterly, 19(3), 153-170.
  • Martin, R., and Sunley, P. (2003). Deconstructing clusters: chaotic concept or policy panacea? Journal of economic geography, 3(1), 5-35.
  • McBurney, M. K., and Novak, P. L. (2002). What is bibliometrics and why should you care?. In Proceedings. IEEE international professional communication conference (pp. 108-114). IEEE.
  • Mićić, L. (2017). Digital transformation and its influence on GDP. ECONOMICS-Innovative and Economic Research, 5(2), 135-147.
  • Nwankpa, J. K., and Roumani, Y. (2016). IT capability and digital transformation: A firm performance perspective.
  • Öz, S., Teknolojik ve Dijital Dönüşüm Ekonomiye, Sektörlere ve Mesleklere Etkileri, Nobel Akademik Yayıncılık, Ankara, 2020.
  • Porter, M. E., and Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review, 92(11), 64-88.
  • Schwarzmüller, T., Brosi, P., Duman, D., Welpe, I. M.i (2018), How Does The Digital Transformation Affect Organizations? Key Themes Of Change İn Work Design And Leadership. Mrev Management Revue, 29 (2).
  • Schwertner, K. (2021). The Impact of Digital Transformation on Business: A Detailed Review. In John Metselaar (Ed.), Strategic Management in the Age of Digital Transformation (pp.1-29). Proud Pen. https://doi.org/10.51432/978-1-8381524-3-7_1
  • Song, Q., Chen, X., and Gu, H. (2023). How Technological, Organizational, and Environmental Factors Drive Enterprise Digital Innovation: Analysis Based on the Dynamic FsQCA Approach. Sustainability, 15(16), 12248.
  • Telli, G. ve Altun, D., (2020) “Dijital Dönüşüm Nasıl Gerçekleşir?”, Maltepe Üniversitesi Yayınları, İstanbul.
  • Valdaliso, J. M., Elola, A., and Franco, S. (2016). Do clusters follow the industry life cycle? Diversity of cluster evolution in old industrial regions. Competitiveness review, 26(1), 66-86.
  • Vorley, T. (2008). The geographic cluster: a historical review. Geography Compass, 2(3), 790-813.
  • Wang, C., Deng, L., Zhang, Y., Zhao, M., Liang, M., Lee, L. C. and He, T. (2024). Farmland phytoremediation in bibliometric analysis. Journal of Environmental Management, 351, 119971.
  • Wu, S., and Li, J. (2023, April). Prediction of Trend of Digital Talent Demand in China by BP Artificial Neural Network Model. In 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB) (pp. 341-344). IEEE.
  • Yamawaki, H. (2002). The evolution and structure of industrial clusters in Japan. Small Business Economics, 18, 121-140.
  • Yu, W., Hong, J., Zhu, Y., Marinova, D., and Guo, X. (2014). Creative industry clusters, regional innovation and economic growth in C hina. Regional Science Policy and Practice, 6(4), 329-347.
  • Zeren, D., and Nagihan, Kaya. (2020). Dijital pazarlama: Ulusal yazının bibliyometrik analizi. Çağ Üniversitesi Sosyal Bilimler Dergisi, 17(1), 35-52.

A Bibliometric Analysis of Research on Industrial Clusters and Digitalization

Yıl 2024, Cilt: 3 Sayı: 1, 1 - 18, 08.08.2024

Öz

The technological change created by digital technologies is encountered in industrial clusters as in all areas of life. Although industrial cluster studies on digitalization and virtualization are limited, they have become popular in the last few years. In this context, the aim of this study is to review the studies that include the concepts of “industrial clustering” and “digital/virtual” and to determine the topics and trends that have intensified over the years. In the study, 137 studies related to “digital”, “virtual” and “industrial clustering” obtained from the Web of Science database were subjected to co-authorship analysis, source citation analysis, country-based citation analysis, keyword analysis and bibliographic mapping analysis through VOSviewer visualization tools. This bibliographic mapping shows the contributions of authors and countries as well as their collaboration over time. The bibliometric analysis also revealed emerging areas, topics and trends in this research area. The findings of the study are expected to contribute to academics who will conduct future studies on industrial clustering in terms of identifying academic resources and observing trends over the years.

Kaynakça

  • Banger, G. (2018). Endüstri 4.0 uygulama ve dönüşüm rehberi. Dorlion Yayınları. Ankara.
  • Broz, T., Buturac, G., and Parežanin, M. (2020). Digital transformation and economic cooperation: The case of Western Balkan countries. Zbornik radova Ekonomskog fakulteta u Rijeci: časopis za ekonomsku teoriju i praksu, 38(2), 697-722.
  • Chang, K., Zhang, H. and Li, B. The Impact of Digital Economy and Industrial Agglomeration on the Changes of Industrial Structure in the Yangtze River Delta. J Knowl Econ (2023). https://doi.org/10.1007/s13132-023-01448-w
  • Chen, J. (2022). Research on Power Enhancement of High-quality Development of China's Economy under the Background of Digital Economy.
  • Cheng, C., and Huang, H. (2021). Big data and industrial innovation progress in Jiangxi Province incremental effect highlights enabling digital economy cultivation. In Journal of Physics: Conference Series 1852(2). IOP Publishing.
  • Donthu, N., Kumar, S., Mukherjee, D., Pandey, N., and Lim, W. M. (2021). How to conduct a bibliometric analysis: An overview and guidelines. Journal of business research, 133, 285-296.
  • Ellegaard, O. (2018). The application of bibliometric analysis: disciplinary and user aspects. Scientometrics, 116(1), 181-202.
  • Fernandez-Escobedo, R., Eguía-Peña, B., and Aldaz-Odriozola, L. (2023). Economic agglomeration in the age of Industry 4.0: developing a digital industrial cluster as a new policy tool for the digital world. Competitiveness Review: An International Business Journal.
  • Hotamışlı, M., and Erem, I. (2014). Muhasebe ve Finansman Dergisi’nde yayınlanan makalelerin bibliyometrik analizi. Muhasebe ve finansman dergisi, (63), 1-20.
  • Ismail, M. H., Khater, M., Zaki, M., (2017), Digital Business Transformation and Strategy: What Do We Know So Far., Cambridge Service Alliance.
  • Jackson, N. C. (2019). Managing for competency with innovation change in higher education: Examining the pitfalls and pivots of digital transformation. Business Horizons, 62(6), 761-772.
  • Jin, J., Ma, L., and Ye, X. (2020). Digital transformation strategies for existed firms: from the perspectives of data ownership and key value propositions. Asian Journal of Technology Innovation, 28(1), 77-93.
  • Kim, H., Hwang, S. J., and Yoon, W. (2023). Industry cluster, organizational diversity, and innovation. International Journal of Innovation Studies, 7(3), 187-195.
  • Koseoglu, M. A. (2016). Growth and structure of authorship and co-authorship network in the strategic management realm: Evidence from the Strategic Management Journal. BRQ Business Research Quarterly, 19(3), 153-170.
  • Martin, R., and Sunley, P. (2003). Deconstructing clusters: chaotic concept or policy panacea? Journal of economic geography, 3(1), 5-35.
  • McBurney, M. K., and Novak, P. L. (2002). What is bibliometrics and why should you care?. In Proceedings. IEEE international professional communication conference (pp. 108-114). IEEE.
  • Mićić, L. (2017). Digital transformation and its influence on GDP. ECONOMICS-Innovative and Economic Research, 5(2), 135-147.
  • Nwankpa, J. K., and Roumani, Y. (2016). IT capability and digital transformation: A firm performance perspective.
  • Öz, S., Teknolojik ve Dijital Dönüşüm Ekonomiye, Sektörlere ve Mesleklere Etkileri, Nobel Akademik Yayıncılık, Ankara, 2020.
  • Porter, M. E., and Heppelmann, J. E. (2014). How smart, connected products are transforming competition. Harvard business review, 92(11), 64-88.
  • Schwarzmüller, T., Brosi, P., Duman, D., Welpe, I. M.i (2018), How Does The Digital Transformation Affect Organizations? Key Themes Of Change İn Work Design And Leadership. Mrev Management Revue, 29 (2).
  • Schwertner, K. (2021). The Impact of Digital Transformation on Business: A Detailed Review. In John Metselaar (Ed.), Strategic Management in the Age of Digital Transformation (pp.1-29). Proud Pen. https://doi.org/10.51432/978-1-8381524-3-7_1
  • Song, Q., Chen, X., and Gu, H. (2023). How Technological, Organizational, and Environmental Factors Drive Enterprise Digital Innovation: Analysis Based on the Dynamic FsQCA Approach. Sustainability, 15(16), 12248.
  • Telli, G. ve Altun, D., (2020) “Dijital Dönüşüm Nasıl Gerçekleşir?”, Maltepe Üniversitesi Yayınları, İstanbul.
  • Valdaliso, J. M., Elola, A., and Franco, S. (2016). Do clusters follow the industry life cycle? Diversity of cluster evolution in old industrial regions. Competitiveness review, 26(1), 66-86.
  • Vorley, T. (2008). The geographic cluster: a historical review. Geography Compass, 2(3), 790-813.
  • Wang, C., Deng, L., Zhang, Y., Zhao, M., Liang, M., Lee, L. C. and He, T. (2024). Farmland phytoremediation in bibliometric analysis. Journal of Environmental Management, 351, 119971.
  • Wu, S., and Li, J. (2023, April). Prediction of Trend of Digital Talent Demand in China by BP Artificial Neural Network Model. In 2023 IEEE 3rd International Conference on Electronic Communications, Internet of Things and Big Data (ICEIB) (pp. 341-344). IEEE.
  • Yamawaki, H. (2002). The evolution and structure of industrial clusters in Japan. Small Business Economics, 18, 121-140.
  • Yu, W., Hong, J., Zhu, Y., Marinova, D., and Guo, X. (2014). Creative industry clusters, regional innovation and economic growth in C hina. Regional Science Policy and Practice, 6(4), 329-347.
  • Zeren, D., and Nagihan, Kaya. (2020). Dijital pazarlama: Ulusal yazının bibliyometrik analizi. Çağ Üniversitesi Sosyal Bilimler Dergisi, 17(1), 35-52.
Toplam 31 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Konular Yönetim Bilişim Sistemleri, Bilgi Sistemleri (Diğer)
Bölüm Araştırma Makalesi
Yazarlar

Abdullah Günay 0000-0002-5006-1448

Cemalettin Çopuroğlu 0000-0003-0350-0986

Yayımlanma Tarihi 8 Ağustos 2024
Gönderilme Tarihi 31 Mayıs 2024
Kabul Tarihi 10 Haziran 2024
Yayımlandığı Sayı Yıl 2024 Cilt: 3 Sayı: 1

Kaynak Göster

APA Günay, A., & Çopuroğlu, C. (2024). Endüstriyel Kümelenmeler ve Dijitalleşme Üzerine Araştırmalar Hakkında Bibliyometrik Bir Analiz. Siirt Sosyal Araştırmalar Dergisi, 3(1), 1-18.

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