Details

Autor(en) / Beteiligte

• Janes, Aleksander

Titel

Empirical verification of the balanced scorecard

Ist Teil von

• Industrial management + data systems, 2014-01, Vol.114 (2), p.203-219

Ort / Verlag

Wembley: Emerald Group Publishing Limited

Erscheinungsjahr

2014

Quelle

Alma/SFX Local Collection

Beschreibungen/Notizen

• Purpose – The development and empirical verification of the balanced scorecard (BSC) model are key parts of the research of a case study on the performance measurement system (PMS) of the Ydria Motors LL Company (YM). The paper aims to discuss these issues. Design/methodology/approach – The research was performed as a single case study of modelling the BSC for the manufacturing company and founded on complementary use of qualitative and quantitative methods. The central part of the case study is an empirically evaluated layout of the BSC with the Engle-Granger two-step method. Findings – The results and findings from empirical analysis showed that the methods used are appropriate for inclusion in the methodological approach as they are complementary. Therefore, it can be asserted that the introduction of quantitative methods of continuous data analysis for the implementation of the BSC improved the established approach. In this research, an approach that represents the basis for further work in the field of research in PMSs of companies, with the use of econometric tools, was empirically tested and developed. Research limitations/implications – The generalization of research findings is limited to only one manufacturing company. With the continuation of the research on other case studies, the preliminary lessons learned can be expanded to other organizations. Originality/value – Following the research findings, it can be established that the methodology used provides support to organization's decision-making process in real-time and can be used with different strategies scenarios and forecast simulations and thus supports the prioritization of strategic initiatives. In addition, the developed model allows the integration and testing of various performance indicators and the identification and selection of the most appropriate KPIs.