Exposing organizational tensions with a non-traditional budgeting system
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 Beyond Budgeting movement has argued that traditional budgets failed to contribute to the management of tensions associated with the increasing complexity of business models. The literature has reported a range of budgeting practices developed to address these problems, which the authors refer to collectively as “non-traditional (NT) budgets.” The purpose of this paper is to consider how the design and use of a NT budgeting system facilitates the management of multiple organizational tensions. Design/methodology/approach The study reports the findings of an in-depth case study on three business units (BUs) of the French chemical giant SSB, a company that implemented a NT budget inspired by the Beyond Budgeting Round Table model. Findings The authors provide detailed empirical insights into the design and use of a NT budgeting system and analyze the manner in which the new system exposes organizational tensions across multiple axes. Research limitations/implications It is a limitation of the study that only three of SSB 21 BU’s which implemented the NT budget project were examined in depth. This limitation is mitigated to some extent by the review of audit reports in respect of the implementation of the NT budget in a total of 15 BU’s. Practical implications The study contributes a means of analyzing NT budgets in terms of the different types of organizational tensions generated, which should be of use to both researchers and practitioners in researching, designing, and evaluating NT budgets. Originality/value This study provides detailed empirical insights into the design and use of a NT budgeting system and evidence of the success of this system in exposing organizational tensions across multiple axes. The study illustrates how productive tensions can be generated through the analysis of discrepancies between alternative views of organizational performance.
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 | 0.004 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.001 |
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