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EMAC 2022 Annual


The picture of the science - path meta-modelling. An example of management sciences
(A2022-106861)

Published: May 24, 2022

AUTHORS

Przemys?aw Tomczyk, Kozminski University

ABSTRACT

Path models in meta-analysis are used to model relationships between variables on a multi-paper review basis. In addition to advantages such as precision and relative clarity, they also have disadvantages. These include restrictive assumptions and extraordinary labor consumption. This article presents a study demonstrating the usefulness of a much simpler solution - path meta-modelling (PMM). This model presents the results of research in a given field in the form of a map illustrating the number of positive and negative relationships between the variables. The lack of use of effect sizes significantly simplifies the preparation of the model, reducing the number of assumptions of the classical path meta-analysis. A qualitative study conducted on a sample of 10 experienced management scientists from Europe confirms the adequacy of the results obtained through path meta-modelling and its usefulness as a tool for effective search for research gaps.