Paradigms in Qualitative IB Research: Trend, Analysis and Recommendations: https://doi.org/10.1007/s11575-024-00529-5

Roberta Aguzzoli, Jorge Lenger, Stewart R Miller*, Agnieszka Chidlow

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper examines trends, challenges, and opportunities for qualitative IB research. We examine how the reliance on positivism has influenced the use of alternative paradigms (e.g., social constructivism, critical realism and interpretivism) and, consequently, the use of qualitative methods. Using mixed methods to collect and analyze data on qualitative articles published in International Business Review, Journal of International Business Studies, Journal of World Business, and Management International Review, we examine differences between the dominant positivist paradigm and the alternative ones and use comparative content analysis to investigate how alternative paradigm papers are conceptualized and presented. Moreover, we interview authors who used alternative paradigms to gain an in-depth understanding of the challenges and opportunities they faced when conducting research using alternative paradigms. We argue that alternative paradigms can help IB innovate and generate groundbreaking research while providing social impact, managerial and practical relevance, and promoting diversity. We, therefore, encourage paradigmatic diversity and awareness. Lastly, we provide prescriptions for IB scholars to understand methodology and examine complex IB phenomena vis-a-vis paradigmatic diversity.
Original languageEnglish
JournalManagement International Review
DOIs
Publication statusPublished - 19 Mar 2024

Bibliographical note

Aguzzoli, R., Lengler, J., Miller, S. R., & Chidlow, A. (in press). Paradigms in qualitative IB research: trends, analysis and recommendations. https://doi.org/10.1007/s11575-024-00529-5

Keywords

  • methodology
  • Methods
  • Qualitative methodology
  • Paradigm
  • Responsible Research and Innovation
  • data credibility
  • recommendations
  • Trends

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