Observing to Coproduce a Collective Narrative: Emplotment of Multiple Parallel Stories

Abstract

Observation captures complex organizational phenomena in situ. The literature on this method explains the possible data collection methods but says less about the use and organization of the data collected. As a result, the question of the meaning of observation data remains open. This article explores that question with the focus on a specific form of observation, dynamic observation, which can grasp indeterminate situations whose meaning is elusive for both practitioners and the researcher. Drawing on the work of Ricœur, we propose a conceptual tool kit founded on mimesis. We show that organizing observation data into a plot and narrative, through an inquiry conducted by researchers and practitioners together, can shed light both on the observation data and the situation observed. We embody our method by applying this tool kit to a dynamic observation conducted in a high-risk industry. We discuss the methodological issues of this co-construction of shared meaning and its role in restoring centrality to observation in the management sciences, and resituating the situations and the actors as core concerns.

The Corporate Accelerator: A New Kind of Strategic Factor Market to Access Strategic Resources

“…A third factor regarding the benefit of having a corporate accelerator is that it reduces the huge gaps and differences in the modes of operation and agility of startups compared with corporations (Moschner et al, 2019). Viewed from a collaborative perspective, getting a startup to join a corporation's operations is liable to generate huge cultural differences, impose a new operational strategy on the startup (due to the liability of size), and lower the chances of efficient transmission of resources (Iborra & Dolz, 2007).…”