Pre-understandings are described as presumptions for the concept of understanding to even exist and affects the way humans interpret reality as well as the direction of scientific research (Gadamer, referred in Gilje et al., 2007, s. 179). An important component of pre-understandings are our personal experiences, which are always present in our consciousness and affects our interpretation of the world (Gilje et al., 2007, s. 183). As interpretive research particularly reflects the author’s interpretation (Bryman & Bell, 2005, p. 443), this type of research requires pre-understandings to be described (Geanellos, 1998, p. 238). Consequently, we should not strive towards being completely objective in our research, but instead make use of the understandings we hold to our advantage (Geanellos, 1998, p. 238). In the context of this research, both of us had our own previous experiences of AI, as well as our own interpretations of what it is and how it can be utilized. Furtherm...
Significant progress has been made in statistical analysis in the last few years. Researchers may now address a wide range of ambiguities in the data sets they have studied thanks to an expanding library of advanced methodologies and statistical tests (Beck & Katz, 1995; Cramer, 1986; White, 1980). Reliable parameter estimates from regressions depend on how well the standard assumptions of regression analysis are met, especially the independence of the error components and whether or not they have the same variance. While tests for whether a given model satisfies these assumptions may be found in statistical analysis, these tests don't provide any advice on how to change the model in the event that the assumptions are not met.To address these challenges that surface during the research process, we suggest expanding the researcher's toolkit with a second technology. Social structure visualization tools can aid in the specification of a specific model if the error terms exh...