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

Yıl 2022, Sayı: 55, 163 - 188, 30.04.2022

Gül Ekinci

https://doi.org/10.53568/yyusbed.1111853

Cited By: 3

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.

Anahtar Kelimeler

Dijital teknoloji, yapay zekâ, inovasyon, girişimcilik, bibliyometrik, pazarlama

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

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.

Anahtar Kelimeler

Digital technology, artificial intelligence (AI), innovation, entrepreneurship, bibliometric, marketing

Kaynakça

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