Is more really better? Performance measure variety and environmental uncertainty

Abstract

Purpose This paper asks the question of whether more environmental uncertainty affects the design of performance measurement systems in terms of a greater variety of performance measures and whether this leads to more management satisfaction with the performance measurement system and improved firm performance. Design/methodology/approach Information processing theory is used to frame the hypotheses and findings. A questionnaire was sent to the 300 largest companies in Iceland, where environmental uncertainty has been prevalent. Findings The results indicate that increased uncertainty leads to a larger variety of non-financial performance measures, such as customer measures. A positive relationship is found between management satisfaction with the performance measurement system and firm performance. However, the variety of performance measures was not linked to management satisfaction or firm performance. Research limitations/implications The results suggest that managers increase the variety of performance measures when uncertainty increases. However, it is not the variety itself that increases management satisfaction or improves firm performance. Practical implications Performance measurement design is affected by environmental uncertainty. Managers focus on important stakeholder groups such as customers under such conditions and can consult research and practice for the purpose of customer relationship management and customer profitability measurement to improve measurement selection. Originality/value This work focusses on performance measurement system design, examining the use of more than 50 different performance measures, and differentiates between small and medium-sized firms and between service and non-service firms.

Cite this work

No public copy is stored for this record, so only the metadata is cited.

Stored only when both papers are in the corpus — 21 citations exist upstream.

Papers that cite the same references — the relational fallback while embeddings are still backfilling.