A qualitative research approach can be used to develop the understanding required for evaluating if a variable is relevant or not to a given problem situation.
While selecting the research approach aim and research problem should be taken into consideration. The qualitative approach is informed by inductive logic, in which potential understandings of a phenomenon are derived from the data.
However, there should be some consistency between methods, methodology and analysis. Hypotheses in qualitative research often point to the role of contextual factors that influence the phenomenon of interest, seeking to distinguish why and how individuals with varying experiences understand the phenomenon differently.
Particularities of the chosen research process are discussed in more detail in chapter 10 when evaluating both the outcome and the conduct of the research project.
At that point in time, the research focus was on modeling as a way to support human sense-making and communication.
Alternative A: Logical, theoretical research By a logical theoretical research approach is meant formal deduction of logical consequences from a set of initial assumptions axioms.
This mode of research may be appropriate for formal sciences as exemplified by mathematics and parts of computer science. Studies of four real world projects employing enterprise modeling as a means to develop understanding of the enterprise.
As such, hypotheses are formed following the collection and initial analysis of the data, at which point additional data are often collected to assess the hypotheses in an iterative process.
Research guidelines The following guidelines apply to this specific research project: Loose research design: The researcher is assumed to approach the empirical studies with few expectations about what to find.