Linda Jakob Sadeh, Avital Baikovich, Tammar B. Zilber
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引用次数: 0
Abstract
This article proposes a framework for reflexive choice in qualitative research, centering on social interaction. Interaction, fundamental to social and organizational life, has been studied extensively. Yet, researchers can get lost in the plethora of methodological tools, hampering reflexive choice. Our proposed framework consists of four dimensions of interaction (content, communication patterns, emotions, and roles), intersecting with five levels of analysis (individual, dyadic, group, organizational, and sociocultural), as well as three overarching analytic principles (following the dynamic, consequential, and contextual nature of interaction). For each intersection between dimension and level, we specify analytical questions, empirical markers, and references to exemplary works. The framework functions both as a compass, indicating potential directions for research design and data collection methods, and as a roadmap, illuminating pathways at the analysis stage. Our contributions are twofold: First, our framework fleshes out the broad spectrum of available methods for analyzing interaction, providing pragmatic tools for the researcher to reflexively choose from. Second, we highlight the broader relevance of maps, such as our own, for enhancing reflexive methodological choices.
期刊介绍:
Organizational Research Methods (ORM) was founded with the aim of introducing pertinent methodological advancements to researchers in organizational sciences. The objective of ORM is to promote the application of current and emerging methodologies to advance both theory and research practices. Articles are expected to be comprehensible to readers with a background consistent with the methodological and statistical training provided in contemporary organizational sciences doctoral programs. The text should be presented in a manner that facilitates accessibility. For instance, highly technical content should be placed in appendices, and authors are encouraged to include example data and computer code when relevant. Additionally, authors should explicitly outline how their contribution has the potential to advance organizational theory and research practice.