Contextual factors affecting the deployment of innovative performance measurement systems
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Purpose The purpose of this paper is to examine the association between strategy, structure and environmental uncertainty, and the design and the use of performance measurements systems. The paper provides empirical evidence on the contextual factors associated with the use of financial and non-financial measures, process and outcome measures and the deployment of innovative performance measurement systems in manufacturing business units. Design/methodology/approach A questionnaire was sent to a random sample of 200 Canadian manufacturing organizations. Respondents were asked to indicate to which extent they use different measures. They also had to mention if they had adopted an innovative performance measurement approach such as the balanced scorecard. The questionnaire also included questions to classify organizations as prospectors, defenders or analyzers and to measure the levels of decentralization and perceived environmental uncertainty. Findings The results show that there is a significant association between strategy, organizational structure and environmental uncertainty and the use of non-financial and process measures. They also indicate that there is an association between strategy and environmental uncertainty and the deployment of innovative performance measurement systems. Practical implications Since the 1990s, performance measurement has become an important issue for both academics and practitioners. The professional literature has suggested that managers should design innovative performance measurement systems such as balanced scorecards that include financial and non-financial measures and also process and outcome measures. This paper provides a better understanding of the factors that affect the implementation of innovative performance measurement systems. Originality/value The paper presents one of the few studies that provide a better understanding of the contingent factors that influence the design and the use of innovative performance measurement systems.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.011 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it