In-group and out-group behavior in Indian multinational corporations: An analysis of its implications on organizational performance

  • 249 Views
  • 115 Downloads

Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 International License

The purpose of this study is to investigate in-group and out-group dynamics within multinational corporations in India and their influence on organizational performance. The paper uses concurrent triangulation. Primary data were gathered via a purposive sample of 500 employees across various demographic backgrounds, ensuring diversity. Respondents participated in an online survey and a few in-depth interviews, administered in-person or online, capturing their experiences of group dynamics. Survey data were analyzed using R, SPSS, and SAS, while thematic analysis was applied to in-depth interview transcripts using NVivo software. The study also employed descriptive statistics, ANOVA, MANOVA for the survey and thematic analysis for interviews, revealing the depth and complexity of in-group favoritism. In-group members have reported significantly higher levels of communication, trust, cooperation, conflict management, and innovation, indicating the impact of group dynamics on organizational performance. The outcome of the multivariate analysis of variance (MANOVA) demonstrates a substantial impact of in-group/out-group categorization on the amalgamated dependent variables (evidenced by a Wilks’ Lambda value of 0.68, F (5,94) = 4.17, p < .001). This suggests a noteworthy influence of in-group/out-group affinities on overall team efficacy. The insights offer concrete strategies to enhance inclusivity amid diversity within multinational corporations, thereby mitigating group bias and promoting organizational performance. This study not only expands the understanding of group dynamics in Indian multinational corporations but also offers valuable guidance for managerial practices.

view full abstract hide full abstract
    • Figure 1. Representation of descriptive data
    • Figure 2. Visualization of MANOVA results
    • Figure 3. Visualization of the univariate analyses of variance (ANOVAs) for the dependent variables
    • Figure 4. Results of MANOVA illustrating the variations between in-group and out-group members on composite dependent variables
    • Figure 5. Pie chart: SEM results
    • Figure 6. Count of category by the result
    • Table 1. Summary of descriptive statistics
    • Table 2. MANOVA results for the study variables
    • Table 3. Outcomes of the univariate analyses of variance (ANOVAs) for the dependent variables
    • Table 4. Representation of the MANOVA results illustrating the variations between in-group and out-group members on composite dependent variables
    • Table 5. Outcomes of the hypotheses testing
    • Conceptualization
      Vivek Kumar, Paritosh Mishra, Suraj Bhan Yadav, Sandeep Kumar Gupta
    • Data curation
      Vivek Kumar
    • Investigation
      Vivek Kumar, Paritosh Mishra, Suraj Bhan Yadav, Sandeep Kumar Gupta
    • Writing – original draft
      Vivek Kumar
    • Writing – review & editing
      Vivek Kumar
    • Methodology
      Paritosh Mishra
    • Project administration
      Paritosh Mishra, Sandeep Kumar Gupta
    • Supervision
      Paritosh Mishra
    • Visualization
      Paritosh Mishra
    • Formal Analysis
      Suraj Bhan Yadav, Sandeep Kumar Gupta
    • Funding acquisition
      Suraj Bhan Yadav
    • Resources
      Suraj Bhan Yadav, Sandeep Kumar Gupta
    • Software
      Suraj Bhan Yadav
    • Validation
      Sandeep Kumar Gupta