Journals / Akdeniz İnsani Bilimler Dergisi / 2019 / Cilt: 9 - Sayı: 1

A Bibliometric Analysis employing the R Program of Complex Problem Solving

Kompleks Problem Çözme Üzerine R Programı ile Bir Bibliyometrik Analiz

Pages
37–47
Publication Date
2022-10-12
DOI
—
🏛️Bibliographic metadata and full text access for this article are provided via DergiPark.
DergiPark Record ↗
✨

AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

It is intended that the results of this research will cast a light on future studies concerning complex problem solving.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Complex problem solving has gained a significant place especially in the studies conducted concerning education and working life in the future, According to the report of World Economic Forum, complex problem solving in the list of skills to be demanded in the next five years is noteworthy.
📊
Key Findings & Data:The study uses bibliometric analysis of 166 articles recording complex problem solving keywords published the journals published on the Scopus database between 1999-2018.
💡
Conclusion & Impact:It is intended that the results of this research will cast a light on future studies concerning complex problem solving.
🔬Design:Survey & Empirical Study
📍Scope:2018 Verileri
⚙️Variables:Domain Parameters

Abstract

Complex problem solving has gained a significant place especially in the studies conducted concerning education and working life in the future, According to the report of World Economic Forum, complex problem solving in the list of skills to be demanded in the next five years is noteworthy. In Turkey's list of complex problem solving is considered the fifth. According to the report, it is stated that this issue will be on the agenda both in academic and working life in the upcoming period. Systematic literature surveys are important methods to discover important variables related to the field or to the subject of research, to distinguish what should be done from what is done, and, moreover, to determine recommendations for researchers. In this study, a systematic literature survey on complex problem solving was conducted using bibliometry, which is a method of systematic survey of the literature. The study uses bibliometric analysis of 166 articles recording complex problem solving keywords published the journals published on the Scopus database between 1999-2018. Content analysis is also used to demonstrate the relationship between complex problem solving sub-areas and the development of complex problem solving research over time. This study largely focuses upon resource impacts, colloboration network, citation, and author collaboration. It is intended that the results of this research will cast a light on future studies concerning complex problem solving.

Özet

Özellikle gelecekteki eğitim ve çalışma hayatı üzerine son yıllarda yapılan çalışmalarda kompleks problem çözme önemli yer edinmektedir. Dünya Ekonomik Forumu raporuna göre önümüzdeki beş yıl içinde talep edilecek beceriler listesinde kompleks problem çözme dikkat çekmektedir. Türkiye'nin listesinde ise kompleks problem çözme beşinci sırada değerlendirilmektedir. Rapora göre önümüzdeki dönemde hem akademik alanda hem de çalışma yaşamında bu konunun gündemde olacağı belirtilmektedir. Sistematik yazın taramaları araştırma alanı ya da konusu ile ilgili önemli değişkenleri keşfetmek, yapılması gerekenleri yapılanlardan ayırt etmek ve dahası araştırmacılar için önerilerin belirlenmesinde önemli fayda sağlayan yöntemlerdendir. Bu bağlamda bu çalışmada sistematik yazın tarama yöntemlerinden birisi olan bibliyometri kullanılarak kompleks problem çözme üzerine bir sistematik yazın taraması gerçekleştirilmiştir. Çalışma, Scopus veri tabanında yer alan dergilerde 1999-2018 yılları arasında yayınlan “complex problem solving” anahtar kelimelerini içeren 166 makalenin R programlama dilini kullanarak bibliyometrik analizini yapmaktadır. Aynı zamanda kompleks problem çözme alt alanları ile zamanda gelişimi arasındaki ilişkileri göstermek için içerik analizi kullanılmaktadır. Çalışma daha çok kaynak etkileri, eşdizimlilik ağı, ortak atıf, yazar iş birliği üzerine odaklanmaktadır. Araştırma sonuçlarının kompleks problem çözme ile ilgili gelecekteki çalışmalara ışık tutacağı öngörülmektedir.

🔖

Cite This Article

AŞKUN, V., ÇİZEL, R. (2022). A Bibliometric Analysis employing the R Program of Complex Problem Solving. Akdeniz İnsani Bilimler Dergisi, Cilt: 9 - Sayı: 1, 37–47. https://ajindex.com/articles/433742

📄 Full Text PDF Viewer

📄

PDF görüntüleyici hazırlanıyor...

References (3)

  1. Aria M. & Cuccurullo C. (2017). “Bibliometrix: An R-Tool for Comprehensive Science Mapping Analysis”. Journal of Informetrics 11/4 (2017) 959-975. doi:10.1016/j.joi.2017.08.007 Baggen Y., Mainert J., Lans T., Biemans H. J. A., Greiff S. & Mulder M. (2015). “Linking Complex Problem Solving to Opportunity Identification Competence Within the Context of Entrepreneurship”. International Journal of Lifelong Education 34/4 (2015) 412-429. doi:10.1080/02601370.2015.1060029 Beckmann J. F., Birney D. P. & Goode N. (2017). “Beyond Psychometrics: The Difference Between Difficult Problem Solving and Complex Problem Solving”. Frontiers in Psychology 8 (2017) 1739- 1751. doi:10.3389/fpsyg.2017.01739 Beckmann J. F. & Guthke J. (1995). “Complex Problem Solving, Intelligence and Learning Ability”. Ed. P. A. Frensch & J. Funke. Complex problem solving: the European perspective (1995) 177-200.
  2. New York. Börner K., Chen C. & Boyack K. W. (2005). “Visualizing Knowledge Domains”. Annual Review of Information Science and Technology 37/1 (2005) 179-255. doi: 10.1002/aris.1440370106 Caner T., Cohen S. K. & Pil F. (2017). “Firm Heterogeneity in Complex Problem Solving: A KnowledgeBased Look at Invention”. Strategic Management Journal 38/9 (2017) 1791-1811. doi:10.1002/smj.2615 Care E., Scoular C. & Griffin P. (2016). “Assessment of Collaborative Problem Solving in Education Environments”. Applied Measurement in Education 29/4 (2016) 250-264. doi:10.1080/ 08957347.2016.1209204 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 (2011) 1382-1402. doi: 10.1002/asi.21525 Conley S. N., Foley R. W., Gorman M. E., Denham J. & Coleman K. (2017). “Acquisition of T-shaped Expertise: An Exploratory Study”. Social Epistemology 31/2 (2017) 165-183. doi:10.1080/ 02691728.2016.1249435 Crane D. (1972). Invisible Colleges: Diffusion of Knowledge in Scientific Communities. Chicago 1972.
  3. Danner D., Hagemann D., Schankin A., Hager M. & Funke J. (2011). “Beyond IQ: A Latent State-Trait Analysis of General Intelligence, Dynamic Decision Making and Implicit Learning”. Intelligence 39/5 (2011) 323-334. doi:10.1016/J.INTELL.2011.06.004 de Bellis N. (2014). “History and Evolution of Biblio (metrics)”. Ed. B. Cronin & C. R. Sugimoto. Beyond Bibliometrics:Harnessing Multidimensional Indicators of Scholarly Impact (2014) 23-44. Dör