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Dijital Teknolojiler, Yapay Zekâ, Girişimcilik ve İnovasyon Yayınları Bibliyometrik Analizi

Yıl 2022, Sayı: 55, 163 - 188, 30.04.2022
https://doi.org/10.53568/yyusbed.1111853

Öz

Bu çalışmanın amacı dijital teknolojiler, yapay zekâ, inovasyon ve girişimcilik konularına yönelik yapılmış araştırmaları bibliyometrik analiz yöntemiyle incelemek ve konuya ilişkin geniş bir spektrum aralığında holistik bir bakış açısı oluşturmaktır. Bu amaçla 22.02.2022 tarihinde Scopus veri tabanında 1990-2022 yılları arasında yayın tipi, alan, yazar ve yıl sınırlaması yapılmaksızın başlık, özet ve anahtar kelimeler arasında “entrepreneurship*, digital* tech*, innovation*”, “artificial intelligence*” ifadesi geçen çalışmalar taratılmış, 452 adet çalışma bulunmuştur. Konuya ilişkin 452 döküman 300 farklı kaynakta yayınlanmıştır. Yayınların ortalama alıntı sayısı 15,44, yıllık ortalama alıntı sayısı 2,33’tür. Toplamda 56982 referans, 1480 anahtar kelime, 1171 yazarla çalışma başına ortalama yazar sayısı 2,59 ve yazar başına çalışma sayısı 0,386’dır. Tek yazarlı çalışma sayısı 95, çalışma başına ortak yazar sayısı 2,83, iş birliği endeksi 3,26’dır. Çalışmaların %51’ini makaleler oluştururken yıllık büyüme oranı %15,79’dur. En fazla yayın(98), atıf alma(2416) ve işbirliğinde ABD birinci sıradadır. Çalışmalarda paylaşım ekonomisi, inovasyon ekosistemi, sürdürülebilir gelişme, dijital dönüşüm ve teknoloji konuları ön plana çıkmıştır. En çok yayın işletme ve yönetim bilimleri alanında(%24,2) yapılmış, inovasyon(40), girişimcilik(38), dijital teknolojiler(31) ve yapay zekâ(15) kullanılan anahtar plus kelimeler olmuştur. 2019-2021 yıllarında büyük ivmelenme yaşanmış, konulardaki kavramsal yapınının temelini teknoloji, ekonomi ve planlama oluşturmuştur. Merkezi konumda inovasyon yer almış ve trendin bu şekilde devam edeceği öngörülmüştür.

Kaynakça

  • Akyılmaz, B. (2021a). Yapay zekâ temelli gözetim teknolojileri ve pazar ilişkisi. Dijital pazarlamada güncel araştırmalar. içinde. (1. Baskı, s. 81-101). Artikel Akademi.
  • Akyılmaz, B. (2021b). Robot üretim sistemleri ve nesnelerin interneti. Teknoloji destekli güncel üretim uygulamaları. içinde. (1. Baskı, s. 22-45). Eğitim Yayınevi.
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959-975.
  • Benckendorff, P., & Zehrer, A. (2013). A network analysis of tourism research. Annals of Tourism Research, 43, 121-149.
  • Bornmann, L. (2014). How are excellent (highly cited) papers defined in bibliometrics? A quantitative analysis of the literature. Research Evolution, 23 (2), 166-173.
  • Chae, B. & Goh, G. (2020). Digital entrepreneurs in artificial intelligence and data analytics: Who Are They? Journal of Open Innovation: Technology, Market, and Complexity, 6 (56), 1-15.
  • Corbett, K. (2016, Ocak 03). The trivium and the quadrivium. The Liberal Arts. www.kevincorbett.com: https://kevincorbett.com/the-trivium-and-the-quadrivium/
  • Datta, A. (2021, Haziran 9). What is Amara's Law and how is it relevant to e-commerce? https:/www.vendasta.com/blog/amaras-law-ecommerce/
  • Davenport, T. H. (2018). The AI advantage: How to put the artificial intelligence revolution to work. MIT Press.
  • Davenport, T., & Kirby, J. (2016). Just how smart are smart machines? MIT Sloan Management Review, 57 (3), 21–25.
  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science (48), 24-42.
  • Devesh, R., Ipseeta, S., & Patnaik, B. C. (2019, Aralık). Industry 4.0 - A new futuristic technological revolution a catalyst of innovation & entrepreneurship in creation of enterprises. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 4384-4390.
  • Donthu, N., Kumar S., Mukherjee, D., Pandey, N. and Lim, WM (2021) Journal of Business Research,. 133, issue C, 285-296
  • Elia, G., Margherita, A., & Passiante, G. (2020 ). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technological Forecasting and Social Change, 150(119791), 1-12.
  • Ellegaard, O. ve Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?, Scientometrics, 105(3), 1809-1831.
  • Figueired, F., Gonçalves, M. J., & Teixeira, S. (2021). Information technology adoption on digital marketing: a literature review. Informatics https://doi.org/10.3390/informatics8040074, 8 (74), 1-22.
  • Garfield, E. (1995). Citation indexes for science. A new dimension in documentation through association of ideas. Science, 122, 108–111.
  • Gibson, E., Daim, T., Garces, E., & Dabic, M. (2018). Technology foresight: A bibliometric analysis to identify leading and emerging methods DOI: 10.17323/2500-2597.2018.1.6.24. Foresight and STI Governance, 12 (1), 6-24.
  • Guler, A. T., Waaijer, C. J., Mohammed, Y., & Palmblad, M. (2016). Automating bibliometric analyses using taverna scientific workflows: A tutorial on integrating web srvices. Journal of Informetrics, 10 (3), 830-841.
  • Joshi, A. (2019, Haziran). IMD. Artificial intelligence: boon or doom?: http://imd.org/news/updates/ai-boom-or-doom/
  • Kane, G. C., Nanda, R., Phillips, A. N., & Copulsky, J. (2021, Eylül 28). MIT Sloan Management Review. Şubat 17, 2022 The digital superpowers you need to thrive. https://sloanreview.mit.edu/article/the-digital-superpowers-you-need-to-thrive/? cx_testId=3&cx_testVariant=cx_1&cx_artPos=0&cx_experienceId=EXCTJV2LS00O#cxrecs_s
  • Kraus, S., Roig-Tierno, N., & Bouncken, R. (2019). Digital innovation and venturing: An introduction into the digitalization of entrepreneurship. Rev. Manag. Sci, 13, 519–528.
  • Lee, I., Lee, H., Chen, Y., & Chae, Y. (2020). Bibliometric Analysis of Research Assessing the Use of Acupuncture for Pain Treatment Over the Past 20 Years. Journal of Pain Research, 13, 367—376.
  • Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging technology and business model innovation: The case of artificial intelligence. 2019, 5, 44. J. Open Innov. Technol. Mark. Complex., 5 (44), 1-13.
  • Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing:topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404.
  • Nambisan, S. (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory and Practises, 41, 1029-1055.
  • Naude, W. (2019). Artificial intelligence:neither Utopian nor apocalyptic impacts soon. Economics of Innovation and New Technologies, 30 (1), 1-23.
  • Petrovich, E. (2021, Nisan). Encyclopedia of Knowledge Organization:Science mapping. Şubat 2022 tarihinde International Society for Knowledge Organization: https://www.isko.org/cyclo/science_mapping.htm#refS
  • Petrovich, E. (2020). Science mapping. International Society for Knowledge Organization. https://www.isko.org/cyclo/science_mapping.htm
  • Rath, D., Satpathy, I., & Patnaik, B. C. (2019). New computer controlled high resolution programmable validation system for research in electronics hardware. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9 (1), 4384-4390.
  • Schaller, A., Vatananan-Thesenvitz, R., Pulsiri, N., & Schaller, A. M. (2019). The rise of digital business models: an analysis of the knowledge base. PICMET 2019 - Portland International Conference on Management of Engineering and Technology: Technology Management in the World of Intelligent Systems, Proceedings, 1-13.
  • Scopus. (2022, Şubat). Scopus Search Analysis Results. Şubat 14, 2022 tarihinde https://www.scopus.com/term/analyzer.uri? sid=7035708ffdff682a8171261c59e31ce8&origin=resultslist&src=s&s=TITLE-ABS-KEY%28entrepreneurship*+AND+digital*+tech*++AND+innovation*%29&sort=plf- f&sdt=b&sot=b&sl=68&count=455&analyzeResults=Analyze+results&txGid=c
  • Stamford, C. (2019, Kasım 8). Gartner. Şubat 14, 2022 tarihinde Gartner 2019 Hype Cycle Shows Most Blockchain Technologies Are Still Five to 10 Years Away https://www.gartner.com/en/newsroom
  • Szomszor, M., Jonathan, A., Ryan, F., Chris, G., Pendlebury, D. A., Potter, R. W., et al. (2021). Interpreting Bibliometric Data. Frontiers in Research Metrics and Analytics, 5, 1-20.
  • Snyder, H. (2019). Literature Review as a Research Methodology An Overview and Guidelines. Journal of Business Research, 104, 333-339.
  • Thompson, N. C., Bonnet, D., & Ye, Y. (2020, Mayıs 11). MIT Sloan Management Review. Şubat 17, 2022 tarihinde Why Innovation’s Future Isn’t (Just) Open: https://sloanreview- mit-edu.translate.goog/article/why-innovations-future-isnt-just-open/?_x_tr_sl=auto&_x_tr_tl=tr&_x_tr_hl=tr
  • Vial, G. (2020, Kasım 07). MIT Sloan Management Review. Şubat 15, 2022 tarihinde Data Governance in the 21st-Century Organization: https://sloanreview.mit.edu/article/data-governance-in-the-21st-century-organization/
  • White, S. (2022, Ocak 11). Finance Magnates. Şubat 14, 2022 tarihinde Amara's Law and Blockchain: https://www.financemagnates.com/cryptocurrency/amaras-law-and- the-blockchain/
  • Yoo, Y., Boland, R., Lyytinen, K., & Majchrzak, 2. 2. (2012). A. Organizing for Innovation in the Digitized World. Organ. Sci., 23, s. 1398–1408.
  • Zupic, I., & ˇCater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18 (3), 429–472.

Bibliometric Analysis of Publications on Digital Technologies, Artifıcial Intelligence, Entrepreneurship and Innovation

Yıl 2022, Sayı: 55, 163 - 188, 30.04.2022
https://doi.org/10.53568/yyusbed.1111853

Öz

The aim of this study is to use bibliometric analysis methods to examine research on digital technologies, artificial intelligence, innovation, and entrepreneurship in order to create a holistic perspective on the subject across a broad spectrum of potential. Studies in the Scopus database between 1990 and 2022 with the phrase "entrepreneurship*, digital* tech*, innovation*, artificial intelligence*" in the title, abstract, and keywords were searched without limitation of publication type, author, and year. 452 studies were found on February 22th, 2022. 452 publications on the subject have been published in 300 different sources. The average number of citations for the publications is 15.44, and the annual average number of citations is 2.33. With a total of 56982 references, 1480 keywords, and 1171 authors, the average number of authors per study is 2.59, and the number of studies per author is 0.386. The number of single-authored studies is 95, the number of co-authors per study is 2.83, and the collaboration index is 3.26. While 51% of the studies are articles, the annual growth rate is 15.79%. The USA ranks first for the most publications (98), citations (2416), and collaborations. The sharing economy, innovation ecosystem, sustainable development, digital transformation, and technology issues have come to the fore in the studies. Most publications were made in the fields of business and management sciences (24.2%), with innovation (40), entrepreneurship (38), digital technologies (31), and artificial intelligence (15) being the keywords used. There was a great acceleration in the studies carried out in 2019-2021, and technology, the sharing economy, and planning formed the basis of the conceptual structure of the subjects. Innovation has taken place in the central position, and it is foreseen that the trend will continue in this way.

Kaynakça

  • Akyılmaz, B. (2021a). Yapay zekâ temelli gözetim teknolojileri ve pazar ilişkisi. Dijital pazarlamada güncel araştırmalar. içinde. (1. Baskı, s. 81-101). Artikel Akademi.
  • Akyılmaz, B. (2021b). Robot üretim sistemleri ve nesnelerin interneti. Teknoloji destekli güncel üretim uygulamaları. içinde. (1. Baskı, s. 22-45). Eğitim Yayınevi.
  • Aria, M., & Cuccurullo, C. (2017). bibliometrix: An R-tool for comprehensive science mapping analysis. Journal of Informetrics, 11 (4), 959-975.
  • Benckendorff, P., & Zehrer, A. (2013). A network analysis of tourism research. Annals of Tourism Research, 43, 121-149.
  • Bornmann, L. (2014). How are excellent (highly cited) papers defined in bibliometrics? A quantitative analysis of the literature. Research Evolution, 23 (2), 166-173.
  • Chae, B. & Goh, G. (2020). Digital entrepreneurs in artificial intelligence and data analytics: Who Are They? Journal of Open Innovation: Technology, Market, and Complexity, 6 (56), 1-15.
  • Corbett, K. (2016, Ocak 03). The trivium and the quadrivium. The Liberal Arts. www.kevincorbett.com: https://kevincorbett.com/the-trivium-and-the-quadrivium/
  • Datta, A. (2021, Haziran 9). What is Amara's Law and how is it relevant to e-commerce? https:/www.vendasta.com/blog/amaras-law-ecommerce/
  • Davenport, T. H. (2018). The AI advantage: How to put the artificial intelligence revolution to work. MIT Press.
  • Davenport, T., & Kirby, J. (2016). Just how smart are smart machines? MIT Sloan Management Review, 57 (3), 21–25.
  • Davenport, T., Guha, A., Grewal, D., & Bressgott, T. (2020). How artificial intelligence will change the future of marketing. Journal of the Academy of Marketing Science (48), 24-42.
  • Devesh, R., Ipseeta, S., & Patnaik, B. C. (2019, Aralık). Industry 4.0 - A new futuristic technological revolution a catalyst of innovation & entrepreneurship in creation of enterprises. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 4384-4390.
  • Donthu, N., Kumar S., Mukherjee, D., Pandey, N. and Lim, WM (2021) Journal of Business Research,. 133, issue C, 285-296
  • Elia, G., Margherita, A., & Passiante, G. (2020 ). Digital entrepreneurship ecosystem: How digital technologies and collective intelligence are reshaping the entrepreneurial process. Technological Forecasting and Social Change, 150(119791), 1-12.
  • Ellegaard, O. ve Wallin, J. A. (2015). The bibliometric analysis of scholarly production: How great is the impact?, Scientometrics, 105(3), 1809-1831.
  • Figueired, F., Gonçalves, M. J., & Teixeira, S. (2021). Information technology adoption on digital marketing: a literature review. Informatics https://doi.org/10.3390/informatics8040074, 8 (74), 1-22.
  • Garfield, E. (1995). Citation indexes for science. A new dimension in documentation through association of ideas. Science, 122, 108–111.
  • Gibson, E., Daim, T., Garces, E., & Dabic, M. (2018). Technology foresight: A bibliometric analysis to identify leading and emerging methods DOI: 10.17323/2500-2597.2018.1.6.24. Foresight and STI Governance, 12 (1), 6-24.
  • Guler, A. T., Waaijer, C. J., Mohammed, Y., & Palmblad, M. (2016). Automating bibliometric analyses using taverna scientific workflows: A tutorial on integrating web srvices. Journal of Informetrics, 10 (3), 830-841.
  • Joshi, A. (2019, Haziran). IMD. Artificial intelligence: boon or doom?: http://imd.org/news/updates/ai-boom-or-doom/
  • Kane, G. C., Nanda, R., Phillips, A. N., & Copulsky, J. (2021, Eylül 28). MIT Sloan Management Review. Şubat 17, 2022 The digital superpowers you need to thrive. https://sloanreview.mit.edu/article/the-digital-superpowers-you-need-to-thrive/? cx_testId=3&cx_testVariant=cx_1&cx_artPos=0&cx_experienceId=EXCTJV2LS00O#cxrecs_s
  • Kraus, S., Roig-Tierno, N., & Bouncken, R. (2019). Digital innovation and venturing: An introduction into the digitalization of entrepreneurship. Rev. Manag. Sci, 13, 519–528.
  • Lee, I., Lee, H., Chen, Y., & Chae, Y. (2020). Bibliometric Analysis of Research Assessing the Use of Acupuncture for Pain Treatment Over the Past 20 Years. Journal of Pain Research, 13, 367—376.
  • Lee, J., Suh, T., Roy, D., & Baucus, M. (2019). Emerging technology and business model innovation: The case of artificial intelligence. 2019, 5, 44. J. Open Innov. Technol. Mark. Complex., 5 (44), 1-13.
  • Mustak, M., Salminen, J., Plé, L., & Wirtz, J. (2021). Artificial intelligence in marketing:topic modeling, scientometric analysis, and research agenda. Journal of Business Research, 124, 389-404.
  • Nambisan, S. (2017). Digital entrepreneurship: Toward a digital technology perspective of entrepreneurship. Entrepreneurship Theory and Practises, 41, 1029-1055.
  • Naude, W. (2019). Artificial intelligence:neither Utopian nor apocalyptic impacts soon. Economics of Innovation and New Technologies, 30 (1), 1-23.
  • Petrovich, E. (2021, Nisan). Encyclopedia of Knowledge Organization:Science mapping. Şubat 2022 tarihinde International Society for Knowledge Organization: https://www.isko.org/cyclo/science_mapping.htm#refS
  • Petrovich, E. (2020). Science mapping. International Society for Knowledge Organization. https://www.isko.org/cyclo/science_mapping.htm
  • Rath, D., Satpathy, I., & Patnaik, B. C. (2019). New computer controlled high resolution programmable validation system for research in electronics hardware. International Journal of Innovative Technology and Exploring Engineering (IJITEE), 9 (1), 4384-4390.
  • Schaller, A., Vatananan-Thesenvitz, R., Pulsiri, N., & Schaller, A. M. (2019). The rise of digital business models: an analysis of the knowledge base. PICMET 2019 - Portland International Conference on Management of Engineering and Technology: Technology Management in the World of Intelligent Systems, Proceedings, 1-13.
  • Scopus. (2022, Şubat). Scopus Search Analysis Results. Şubat 14, 2022 tarihinde https://www.scopus.com/term/analyzer.uri? sid=7035708ffdff682a8171261c59e31ce8&origin=resultslist&src=s&s=TITLE-ABS-KEY%28entrepreneurship*+AND+digital*+tech*++AND+innovation*%29&sort=plf- f&sdt=b&sot=b&sl=68&count=455&analyzeResults=Analyze+results&txGid=c
  • Stamford, C. (2019, Kasım 8). Gartner. Şubat 14, 2022 tarihinde Gartner 2019 Hype Cycle Shows Most Blockchain Technologies Are Still Five to 10 Years Away https://www.gartner.com/en/newsroom
  • Szomszor, M., Jonathan, A., Ryan, F., Chris, G., Pendlebury, D. A., Potter, R. W., et al. (2021). Interpreting Bibliometric Data. Frontiers in Research Metrics and Analytics, 5, 1-20.
  • Snyder, H. (2019). Literature Review as a Research Methodology An Overview and Guidelines. Journal of Business Research, 104, 333-339.
  • Thompson, N. C., Bonnet, D., & Ye, Y. (2020, Mayıs 11). MIT Sloan Management Review. Şubat 17, 2022 tarihinde Why Innovation’s Future Isn’t (Just) Open: https://sloanreview- mit-edu.translate.goog/article/why-innovations-future-isnt-just-open/?_x_tr_sl=auto&_x_tr_tl=tr&_x_tr_hl=tr
  • Vial, G. (2020, Kasım 07). MIT Sloan Management Review. Şubat 15, 2022 tarihinde Data Governance in the 21st-Century Organization: https://sloanreview.mit.edu/article/data-governance-in-the-21st-century-organization/
  • White, S. (2022, Ocak 11). Finance Magnates. Şubat 14, 2022 tarihinde Amara's Law and Blockchain: https://www.financemagnates.com/cryptocurrency/amaras-law-and- the-blockchain/
  • Yoo, Y., Boland, R., Lyytinen, K., & Majchrzak, 2. 2. (2012). A. Organizing for Innovation in the Digitized World. Organ. Sci., 23, s. 1398–1408.
  • Zupic, I., & ˇCater, T. (2015). Bibliometric methods in management and organization. Organizational Research Methods, 18 (3), 429–472.
Toplam 40 adet kaynakça vardır.

Ayrıntılar

Birincil Dil Türkçe
Bölüm Tam Sayı
Yazarlar

Gül Ekinci 0000-0001-5512-4789

Yayımlanma Tarihi 30 Nisan 2022
Gönderilme Tarihi 27 Aralık 2021
Yayımlandığı Sayı Yıl 2022 Sayı: 55

Kaynak Göster

APA Ekinci, G. (2022). Dijital Teknolojiler, Yapay Zekâ, Girişimcilik ve İnovasyon Yayınları Bibliyometrik Analizi. Yüzüncü Yıl Üniversitesi Sosyal Bilimler Enstitüsü Dergisi(55), 163-188. https://doi.org/10.53568/yyusbed.1111853

Yüzüncü Yıl Üniversitesi Sosyal Bilimler Dergisi Creative Commons Atıf-GayriTicari 4.0 Uluslararası Lisansı (CC BY NC) ile lisanslanmıştır.