The implementation of activity-based costing by a local government: an actor-network theory and trial of strength perspective
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.
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.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.022 | 0.036 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.005 | 0.031 |
| Scholarly communication | 0.009 | 0.012 |
| Open science | 0.002 | 0.006 |
| Research integrity | 0.003 | 0.003 |
| Insufficient payload (model declined to judge) | 0.006 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".