The Mapping of Research on Workplace Management and Control Using a SCALAR Method and
Bibliometric DSS

Loreta KAKLAUSKIENE*, Arturas KAKLAUSKAS
Vilnius Gediminas Technical University, Saulėtekio al. 11, Vilnius, LT-10223, Lithuania
loreta.kaklauskiene@vilniustech.lt (*Corresponding author), arturas.kaklauskas@vilniustech.lt

Abstract: Workplace productivity increases the sustainability and well-being of the countries. However, no integrated research utilizing science mapping and bibliometric decision support systems (B-DSS) has yet been undertaken to provide an overview of the latest scientific knowledge in the subject of workplace management and control, to help researchers explore the research gap in this field, and to support discussions about theories that make the scientific writing process more agile, dynamic, and intelligent. This study developed the Smart Science Mapping Method for Workplace Management Research Production (SCALAR method) using a science mapping approach, as well as a bibliometric VOSviewer software, the B-DSS (bibliometric decision support systems) and articles from the Scopus database. Based on the SCALAR method and the B-DSS, an analysis and a determination of the newest knowledge and trends in the research topics in workplace management were performed. In addition, an analysis of the application of management theories and a multi-criteria analysis of alternative topics were also conducted. Furthermore, quantitative and qualitative numerical keyword recommendations were presented on how to improve the efficiency of the analyzed research topics. The SCALAR method and the B-DSS were employed to identify possible areas and gaps for future scholarship in the field of workplace management, as well as the key research directions.

Keywords: Workplace management, Control, Research topics and gaps, Bibliometric DSS, Science mapping, MCA.

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CITE THIS PAPER AS:
Loreta KAKLAUSKIENE, Arturas KAKLAUSKAS, The Mapping of Research on Workplace Management and Control Using a SCALAR Method and Bibliometric DSS, Studies in Informatics and Control, ISSN 1220-1766, vol. 33(1), pp. 37-48, 2024. https://doi.org/10.24846/v33i1y202404