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Record W2888327191 · doi:10.2308/jmar-52238

The Effects of Superior Trust and Budget-Based Controls on Budgetary Gaming and Budget Value

2018· article· en· W2888327191 on OpenAlex

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.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Management Accounting Research · 2018
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsUniversity of Lethbridge
Fundersnot available
KeywordsIncentiveValue (mathematics)Budget processSample (material)Control (management)BusinessAccountingReplication (statistics)EconomicsMicroeconomicsManagementComputer sciencePolitical scienceStatistics

Abstract

fetched live from OpenAlex

ABSTRACT Control systems based on budget-based incentives have long been criticized as promoting budgetary gaming that taints the budgeting process. Yet, Libby and Lindsay (2010) find that, on average, North American managers are obtaining “good” value from their budgeting systems. The current study examines the antecedents of budget value through a partial replication and significant extension of Van der Stede (2000) using survey data collected from a sample of senior business unit managers with budget responsibility. Results indicate that the senior manager's trust in subordinate managers' abilities exhibits a positive direct and indirect (through increased subordinate involvement in decision making) relationship with budget value. While budget emphasis has a negative indirect association with budget value (through budgetary gaming), it has a much larger positive direct relationship, resulting in an overall positive effect. Further, budgetary gaming increases with the use of budget-based bonuses, particularly for capped relative to non-capped plans.

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 imitation

Not 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.

metaresearch head score (Codex)0.006
metaresearch head score (Gemma)0.002
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.195
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.002
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.011
GPT teacher head0.268
Teacher spread0.257 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it