Purpose: The research investigates the effectiveness of the performance measurement alignment approach which claims that measurement diversity (multiple performance measures) should be aligned with organisational contingencies to enhance organisational performance. Design/methodology/approach: The theoretical framework is contingency theory. The study is an empirical investigation of the indirect relationship between three contextual factors (business strategy, information technology and organisation size) and organisational performance via multiple performance measures. The results are derived from cross-sectional questionnaire survey data from 132 Libyan companies (response rate of 61%). For data analysis, the research uses mediation regression analysis via Preacher and Hayes' (2004) macro. Findings: There is a significant indirect effect of business strategy and information technology, but not organisation size, on organisational performance. The measurement diversity approach plays a core mediating role in the relationship between the contingencies and organisational performance. Practical implications: The study helps to provide a better understanding of the usefulness of the fit/match between contingencies and Multiple Performance Measures in improving organisational performance. Originality/value: The empirical evidence supports the central proposition of contingency theory that there is no universally appropriate performance measurement system which applies equally to all organisations in all circumstances. It also provides evidence relating to non–manufacturing and an emerging market context. This research significantly extends the relevant literature by highlighting the relationship between information technology, multiple performance measures and organisational performance. This study is the first to use Preacher and Hayes' (2004) macro to analyse mediation design in the field of contingency-based performance measurement.
|Number of pages
|International Journal of Productivity and Performance Management
|Early online date
|27 Aug 2021
|Published - 24 Jun 2022