Mapping the Landscape: A Bibliometric Analysis of Staff Scheduling Optimization Research Trends and Keywords Evolution

Ezzah Suraya Sarudin, Wan Nor Munirah Ariffin and Siti Suhana Jamaian
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Ezzah Suraya Sarudin: Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia Pagoh Educational Hub, 84600 Pagoh, Muar, Johor, Malaysia College of Computing, Informatics and Media, Universiti Teknologi MARA, Perak Branch, Tapah Campus, 35400 Tapah Road, Perak, Malaysia
Wan Nor Munirah Ariffin: Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia Pagoh Educational Hub, 84600 Pagoh, Muar, Johor, Malaysia
Siti Suhana Jamaian: Faculty of Applied Sciences and Technology, Universiti Tun Hussein Onn Malaysia Pagoh Educational Hub, 84600 Pagoh, Muar, Johor, Malaysia

International Journal of Research and Innovation in Social Science, 2024, vol. 8, issue 8, 358-372

Abstract: This bibliometric analysis aims to investigate research trends and the evolution of keywords in the field of staff scheduling optimization. The data will be retrieved from the Scopus database, and the publications in articles written in English between 1989-2023 will be examined. The results will be presented in visual analysis using Microsoft Excel and VOSviewer. Initially, 1351 articles were retrieved from 1971 to 2023. However, only 673 met the requirements and proceeded to identify the research trends in terms of leading countries, prominent authors and journals. Besides that, this study also aims to determine the popular keywords and how the keywords evolved based on the chronological groups: Initial phase (1989-1999), Development phase (2000-2011), and Exploration phase (2012-2023). The results show that the United States is the most productive country, contributing 20.57% of all publications, with Jonathan F Bard as the most prominent author. The most productive journal for staff scheduling optimization was the European Journal of Operation Research, with 40 articles and 1962 total citations. Meanwhile, the keyword co-occurrences have evolved significantly, from 20 keywords to 3889 keywords over 34 years. These findings provide valuable insight for future researchers in identifying the research gaps in top journals, authors, and publishers. Hence, it will help in designing future research strategies and collaborations.

Date: 2024
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