Interest in the topic of supply chain performance measurement has notably increased in the last
two decades and considerable research has been conducted in this area. The objective of this paper
is not just to review the advancements in theory on supply chain performance measurement per se,
but rather to provide a taxonomy with which research in the field can be mapped and evaluated.
The need for a structured topological approach to the development of supply chain performance
measurement frameworks and methods is addressed. Findings are based on the analysis of a huge
number of publications including the most recent reviews conducted in the contemporary
literature (books, theses, journal articles and conference papers). The researchers believe that
currently existing supply chain performance measurement frameworks can be classified into nine
different types grouped according to the key criteria of measurement. This research reveals that
most of the already existing approaches are static, inflexible and lack continual improvement which
constitutes a gap between the theory and their potential application. Thus, future contributions to
the topic are essential and possible.