Using narrative sequence methods to advance international entrepreneurship theory
Narrative sequence methods offer the potential to advance research methods and develop a common vocabulary for theory development in international entrepreneurship. While variables-focused, variance-based methods currently dominate theory development, they are atemporal, yet entrepreneurship is what entrepreneurs do over time. We examine the assumptions of variance-based approaches and compare them to those of narrative methods, which leads to a discussion of the nature of causal mechanisms. We then illustrate the use of narrative sequence methods to identify some of the mechanisms underlying the internationalisation of an intermediary in the electronic component industry, where internationalisation is interpreted as a form of innovation and entrepreneurship. We illustrate how these methods, whose value is being increasingly recognised, allow us to introduce time, timing and temporal processes into the systematic analysis of business behaviour and evolution, and to generate usable knowledge for managers and policymakers. Copyright Springer Science+Business Media, LLC 2006
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- Marian V Jones & Nicole E Coviello, 2005. "Internationalisation: conceptualising an entrepreneurial process of behaviour in time," Journal of International Business Studies, Palgrave Macmillan, vol. 36(3), pages 284-303, May.
- Van de Ven, Andrew H. & Engleman, Rhonda M., 2004. "Event- and outcome-driven explanations of entrepreneurship," Journal of Business Venturing, Elsevier, vol. 19(3), pages 343-358, May.
- Dubois, Anna & Gadde, Lars-Erik, 2002. "Systematic combining: an abductive approach to case research," Journal of Business Research, Elsevier, vol. 55(7), pages 553-560, July.
- Coviello, Nicole E. & Jones, Marian V., 2004. "Methodological issues in international entrepreneurship research," Journal of Business Venturing, Elsevier, vol. 19(4), pages 485-508, July.
- Pettigrew, Andrew M., 1997. "What is a processual analysis?," Scandinavian Journal of Management, Elsevier, vol. 13(4), pages 337-348, December.
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