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The topology of manufacturing systems is specified during the design phase and can afterwards only be adjusted at high expense. The purpose of this paper is to exploit the availability of large-scale data sets in manufacturing by applying measures from complex network theory and from classical performance evaluation to investigate the relation between structure and performance.

The paper develops a manufacturing system network model that is composed of measures from complex network theory. The analysis is based on six company data sets containing up to half a million operation records. The paper uses the network model as a straightforward approach to assess the manufacturing systems and to evaluate the impact of topological measures on fundamental performance figures, e.g., work in process or lateness.

The paper able to show that the manufacturing systems network model is a low-effort approach to quickly assess a manufacturing system. Additionally, the paper demonstrates that manufacturing networks display distinct, non-random network characteristics on a network-wide scale and that the relations between topological and performance key figures are non-linear.

The sample consists of six data sets from Germany-based manufacturing companies. As the model is universal, it can easily be applied to further data sets from any industry.

The model can be utilized to quickly analyze large data sets without employing classical methods (e.g. simulation studies) which require time-intensive modeling and execution.

This paper explores for the first time the application of network figures in manufacturing systems in relation to performance figures by using real data from manufacturing companies.

The purpose of this paper is to investigate the relationship between the success of the 50 EURO STOXX companies as measured by the earnings before taxes (EBT) and the percentage of female members on their supervisory boards.

The paper relies on data extracted from the annual reports of the 50 EURO STOXX companies in 2015 and from financial websites.

The paper provides the existence of a weak correlation between companies’ performance as measured by EBT and the percentage of women on supervisory boards.

This study has two main limitations: first, a single key performance indicator was used to measure firms’ success; and second, the study offers insights related only to the year 2015. The analysis could be extended over a larger time span while some other variables could be considered in a more holistic approach.

The paper raises awareness that there is much to be done with regard to the presence of women on boards, and readers, investors and business owners gain an insight on the business environment and women active on European corporate boards.

By concentrating on the companies of the EURO STOXX 50 Index, the study offers a good image of the European business environment.