Bibliometric analysis: Creative behavior using the Google Scholar database

https://doi.org/10.21744/ijbem.v7n1.2240

Authors

  • Riza Umami Universitas Muhammadiyah Malang, Malang, Indonesia
  • Nurul Asfiah Universitas Muhammadiyah Malang, Malang, Indonesia
  • Siti Nurhasanah Universitas Muhammadiyah Malang, Malang, Indonesia
  • Immanuel Mu'ammal Universitas Muhammadiyah Malang, Malang, Indonesia
  • Aisya Safira Ramadhina Universitas Muhammadiyah Malang, Malang, Indonesia

Keywords:

bibliometric analysis, creativity, Google Scholar database, innovation, new ideas

Abstract

This article explores creativity in scientific behavior, with a focus on how new ideas emerge and are implemented in the corporate world. Using the Google Scholar Database, this research applies bibliometric analysis to evaluate scientific literature and publications from 2013 to 2023 in the field of library and information science. The results of the analysis provide an understanding of the distribution of articles based on year, author, institution, journal name, and scientific discipline. Strong organizational performance in human resources is associated with competitiveness and increased creativity. Employee creativity is considered an important contributor to organizational success, related to organizational climate, management, and proactive behavior. Creative behavior includes a wide range of activities, described as those that result in the identification of original and better methods for achieving goals. This research applies filtering methodology, search strategies, and bibliometric analysis using VOSviewer software. The results of the analysis produced a bibliometric concept map and identified key keywords such as "employee creative behavior", "creative process", and "green creative behavior". The visualization also shows changing research trends over time and high citation rates for certain concepts, informing developments and relevance in the scientific literature on behavioral creativity.

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Published

2024-01-31

How to Cite

Umami, R., Asfiah, N., Nurhasanah, S., Mu’ammal, I., & Ramadhina, A. S. (2024). Bibliometric analysis: Creative behavior using the Google Scholar database. International Journal of Business, Economics & Management, 7(1), 7-17. https://doi.org/10.21744/ijbem.v7n1.2240