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RUMINATIONS ON PROCESS Raghu Garud Pennsylvania State University August 2011
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Process vs. Variance Longitudinal -- driven by questions about "how phenomena emerge Not efficient causality but generative causality
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Innovation Processes are Complex Multiple people artifacts and metrics – manifest complexity. Ecology of interactions between these heterogeneous elements – relational complexity. Full of ups and downs, false starts and dead ends, backing & forthing – temporal complexity.
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Consequentially Ambiguity is generated endogenously and is manifest in: – blurred boundaries – shifting loci of action – emerging preferences – multiple & conflicting cues
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And Practitioners have to commit to a course of action despite and even because of the ambiguity. From: Garud R. and Van de Ven A. H. 1992. "An empirical evaluation of the internal corporate venturing process" Strategic Management Journal, Vol. 13, 93-109.
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How Address Boundary Problem? One approach is to let field members inform us about emerging boundaries. In my case, I attended conferences on cochlear implants where actor networks constituted and re-constituted the emerging fields through their entanglements.
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These and other studies and others have led to insight on Innovation as: – Complex adaptive processes – Complex responsive processes – Complex becoming processes
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Complex Adaptive Processes Metaphors from an evolutionary perspective include -- search, landscape, selection environments, structural holes etc. Context is largely exogenous. Theorizing includes -- path dependence, absorptive capacity, punctuated equilibrium, two-stage dominant design, exaptation. Implications for process research – follow and study shifts in landscapes over time.
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An Example This figure shows the transition from one sociotechnical regime to another as a consequence of exogenous niche innovations and landscape changes, as depicted by Geels & Schot (2007).
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Complex Responsive Processes Metaphors from a relational perspective include - - interpretive flexibility, co-creation, translation. Context is endogenized to yield a flat ontology (actor-network) that considers entanglements between social and material elements. Theorizing includes -- path constitution, bricolage Implications for process research – follow and study entanglements over time.
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An Example This figure shows the emergence and transformation of the bicycle through the constitutive entanglement of the social and the material as depicted by Pinch & Bijker (1987).
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Complex Becoming Processes Metaphors from an intertemporal perspective include – distentio, diachrony, chronos & kairos, anticipation and recollection. Time is endogenized to yield a Mobius strip of unfolding experiences. Theorizing includes -- transformative capacity, improvisation, path creation. Implications for process research – follow & study temporal agency.
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An example This figure is a temporally emplotted diagram of the research in the human genome project. The figure appeared in Mane and Börner (2004).
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Summary of Complexity Perspectives Adapted from: Garud, R., Gehman, J. and Kumaraswamy. A. (2011) Complexity Arrangements for Sustaining Innovation: Lessons from 3M Corporation. Organization Studies 32(6) 737–767. Garud, R. and Gehman, J. (2011) Metatheoretical perspectives on sustainability journeys: Evolutionary, relational and intertemporal. Research Policy (forthcoming).
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Conclusion We first have to clarify what we mean by process to conduct meaningful process research. It is both a matter of personal choice and social acceptance as to what kind of process research we conduct. As we endogenize context, text and sub-text, process research becomes all the more challenging, but at the same time more rewarding.
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