Co-authors: Paul Steffens and Scott Gordon (University of Adelaide Business School)
Abstract
Interest in configurational approaches has seen a resurgence in organizational studies. Techniques such as QCA and fsQCA, commonly used to analyze organizational configurations, are static in nature and temporal extensions are limited. However, many topics of interest to organizational research, such as organizational renewal, mergers and acquisitions, resource orchestration, dynamic capabilities, business model innovation or change, and new venture development are likely to be concerned with changes in organizational configurations over time. The authors present latent class Markov modelling (LCMM) as a technique for organizational theory development, through dynamic analysis of organizational configurations. An empirical application, based on commonly available software, analyzing the trajectories of resource-based competitiveness configurations for a large longitudinal sample of new ventures, using generally available software, demonstrates the utility of the method to abductively contribute to theory development.