Abstract
This study responds to calls for pragmatic context-driven scholarship to evaluate the perceived need for cultural integration in global organizations. This paper aims to fill the gap between theoretical frameworks and contemporary phenomena with a grounded theory, quantitative ethnography study designed to explore the perceived need for cultural integration to improve business outcomes in global organizations, also evaluating the perceived need for a dedicated framework to develop cultural integration in global organizations. Data were collected through semi-structured interviews conducted with twenty global executives. Analysis of the dataset was done through thematic content analysis and epistemic network analysis. Research demonstrated that cultural integration, and its associated constructs, were perceived as critical to group and organizational success. Global executives and leaders confirmed the need for a dedicated framework for cultural integration to improve business outcomes. The current study addressed four research questions: (1) To what extent is there a perceived need for cultural integration in global organizations? (2) To what extent is cultural integration perceived relevant to business outcomes in global organizations? (3) To what extent do leaders perceive socio-cultural epistemic frames are malleable at the group level? (4) To what extent is there a perceived need for a dedicated framework to develop cultural integration to shift socio-cultural epistemic frames in global teams? This empirical study confirms that socio-cultural epistemic frames are malleable at the group level to develop cultural integration and there is a perceived need for a dedicated framework to develop cultural integration for improved business outcomes in global organizations.
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Mackey, S.L. (2023). Leveraging Epistemic Network Analysis in Monologic Interviews to Explore Cultural Integration In Global Organizations. In: Arastoopour Irgens, G., Knight, S. (eds) Advances in Quantitative Ethnography. ICQE 2023. Communications in Computer and Information Science, vol 1895. Springer, Cham. https://doi.org/10.1007/978-3-031-47014-1_23
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