The implementation of activity-based costing by a local government: an actor-network theory and trial of strength perspective
Why this work is in the frame
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Bibliographic record
Abstract
Purpose Some public sector organizations have decided to implement activity-based costing (ABC), a new cost calculation device and management accounting innovation initially designed for the private sector. The purpose of this study is to better understand the translation of this new calculation device in the context of a local government and to identify the trials of strength that actors faced during the implementation. Design/methodology/approach Building on actor-network theory and the concept of “trial of strength,” this study examines how a major change in a large local government’s structure, the merger of several cities, led to the adoption of ABC. This case study provides a setting for conducting a longitudinal analysis of the translation of a cost management innovation, ABC, in a public sector organization. Findings This study highlights how human and non-human actors interact when implementing a management accounting innovation in a local government and the trials of strength that they face. It also shows that although ABC helped the local government deal with issues such as setting fees, assessing outsourcing opportunities, increasing accountability and improving processes, the oversophistication of the technology used to implement the ABC model and the lack of links between the costing device and the budgeting process provoked a struggle among these two networks, leading actors to choose the budget over ABC. Originality/value This study’s findings extend the work on trials of strength of Christensen et al. (2019) and Laguecir et al. (2020). While those two studies focused on the struggles existing between opposing networks of human actors regarding the strategic orientation or the mission of public sector organizations, this study highlights that trials of strength may also occur when actors agree on the objectives of the new accounting innovation but not on how it is implemented.
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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 | 0.015 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.002 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| 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