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The lack of a definite standard for determining the sample size in qualitative research leaves the research process to the initiative of the researcher, and this situation overshadows the scientificity of the research. The primary purpose of this research is to propose a model by questioning the problem of determining the sample size, which is one of the essential issues in qualitative research. The fuzzy logic model is proposed to determine the sample size in qualitative research.

Considering the structure of the problem in the present study, the proposed fuzzy logic model will benefit and contribute to the literature and practical applications. In this context, ten variables, namely scope of research, data quality, participant genuineness, duration of the interview, number of interviews, homogeneity, information strength, drilling ability, triangulation and research design, are used as inputs. A total of 20 different scenarios were created to demonstrate the applicability of the model proposed in the research and how the model works.

The authors reflected the results of each scenario in the table and showed the values for the sample size in qualitative studies in Table 4. The research results show that the proposed model's results are of a quality that will support the literature. The research findings show that it is possible to develop a model using the laws of fuzzy logic to determine the sample size in qualitative research.

The model developed in this research can contribute to the literature, and in any case, it can be argued that determining the sample volume is a much more effective and functional model than leaving it to the initiative of the researcher.

The purpose of this paper is to improve the understanding of the applicability of employee engagement theories in a South Asian country, Sri Lanka, and determine whether engagement theories are universally applicable beyond the Western countries in which they have been developed and tested.

A heterogeneous sample of 451 private-sector employees in Sri Lanka was used. A mixed-method design was adopted; quantitative findings were compared with previous studies conducted in Western countries, and qualitative findings enabled a more nuanced understanding of employee engagement in the Sri Lankan context.

Despite cultural differences between Sri Lanka and Western countries, the antecedents of engagement did not manifest differently in a consistent way. Combined results suggest that the different manifestations of engagement in Sri Lanka cannot be attributed solely to cultural variance.

The authors used cross-sectional data and tested only four antecedents of engagement.

This study highlights the importance of multinational organisations' awareness of how employee engagement manifests across different contexts and going beyond cultural adaptation when developing context-specific engagement strategies.

This is among the first studies on an Asian country to examine whether cultural differences impact the antecedents of engagement to empirically test Kahn's (1990) theory of engagement and the motivational process of the job demands-resources theory in a single study and to use a heterogeneous sample and mixed-methods design. The authors challenge the centrality of national culture as a determinant of employee engagement and highlight the importance of considering other contextual factors when examining employee engagement in different countries.