The problem analysis for empirical studies

This article proposes a systematic methodology for the development of a problem analysis for cross-sectional, empirical research. This methodology is referred to as the ‘Annabel approach’. It is suitable both for academic studies and applied (business) studies. In addition it can be used for both qualitative and quantitative studies. It is argued that the Annabel approach has certain advantages as compared to general approaches to the problem analysis. These include the inherent logic of the problem analysis design, and the inter-dependencies of its components, making it possible to carry out a number of formal consistency checks along the process of creating the problem analysis. Consequently, it is contended that the use of this methodology, being a general methodology for designing and executing methodologically sound and scientifically solid research, may result in higher quality problem analyses, while being more efficient in the creation process

Consistency (knowledge bases · Data science · Empirical research · Epistemology · Management science · Process (computing · Quality (philosophy · Quantitative analysis (chemistry · Business and Economic Development · Computer Science · Engineering · Global and Cross-Cultural Management · Mathematics · Artificial Intelligence