Application of configurational approach and fuzzy set theory
on social and behavioral science variable models needs more
attention. Few social science researches have employed
configurational methods of research to empirically investigate a
research question. On the front of exploring unique and innovative
ways of investigation, this paper discusses the application of fuzzy
set theory in social sciences. The study primarily takes a model of
emotional labor and employee well‑being as a case example to depict
how configurational models are developed. The study examines
emotional labor and well‑being, not as predictor or criterion
variables, but rather as conditions and outcome. The study also
distinguishes between correlational and configurational method of
research and adopts a descriptive approach by taking five research
papers that examine social and behavioral science constructs from a
configurational approach. Scarcity of literature in the crossover
between the mathematical models and social sciences, particularly
for the respective variables, call for a study that can clarify the
initial queries surrounding fuzzy set models and pave the way for
future empirical studies. The research concludes that utilizing
mathematical models like fuzzy set theory, configuration and
qualitative comparative analysis in social sciences can break
monotony and bring newness in approaching as well as addressing a
research query. This paper draws attention towards exploring new
avenues in research methodologies. Application of newer methods
would not only increase the rigor and precision of research findings
but also assist in approaching a research area from multiple angles
thereby enhancing the research quality.
