Abstract

Grounded theory method (GTM), which has been increasingly used in the information systems (IS) field, is a contested method. GTM has even been viewed as a family of methods by Antony Bryant and Kathy Charmaz in the respected ‘Handbook of Grounded Theory’. One debate that is of particular relevance is about the metaphor of ‘emergence’ and the most basic rule of GTM - that researchers should not force preconceived conceptualizations on data. This debate has its origins in a dispute between the two co-founders of grounded theory, Barney Glaser and Anselm Strauss. Glaser criticized Strauss for the introduction of the stage of axial coding and the use of one single coding paradigm. In his view, the paradigm is too rigid, forces data, hinders emergence, and leads to conceptual description instead of grounded theory. It is perhaps surprising then, that this debate has so far been conducted without any empirical evidence in support of the proposition that the Strauss and Corbin version of grounded theory might result in forcing. In this article, we analyse IS studies in top journals where Straussian grounded theory procedures - which have found most adherents in the IS discipline - are utilized. We provide detailed insights into the use and the impact of axial coding and the coding paradigm. We find that the researchers’ use of Straussian coding procedures in the IS field is on a level that is conscious and deliberative. We relate our findings to the broader debate about the contested nature of GTM, and find that axial coding and the coding paradigm are an exemplar that shows that GTM is an evolving method that is subject to idiosyncratic interpretations and flexible deployment. Our findings, we argue, are in line with the more recent development of constructivist grounded theory that holds that grounded theories are not discovered, they are constructed, based on conscious decisions and interpretive acts. We also put forward three propositions, and five guidelines, intended to assist IS researchers in constructing grounded theories using Straussian coding procedures, while adhering to the primacy of avoiding preconceptions.

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