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Record W4412791317 · doi:10.2308/jmar-2024-027

Because I Care: The Effect of Value Congruence and Compensation Scheme on Target Setting in Social Mission Organizations

2025· article· en· W4412791317 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 · 2025
Typearticle
Languageen
FieldSocial Sciences
TopicReligion, Society, and Development
Canadian institutionsUniversity of Waterloo
FundersMarquette University
KeywordsCongruence (geometry)Scheme (mathematics)Value (mathematics)BusinessCompensation (psychology)MathematicsPsychologyMicroeconomicsSocial psychologyEconomicsStatisticsMathematical analysis

Abstract

fetched live from OpenAlex

ABSTRACT Many organizations, including for-profit firms, seek to support a social mission. This study experimentally examines how superiors’ value congruence and compensation scheme affect superiors’ target-setting decisions in social mission organizations. We predict and find that more value-congruent superiors set higher targets for their subordinates than less value-congruent superiors to motivate their subordinates to advance the organization’s social mission. We also find that superiors set higher targets for their subordinates when compensated with performance-based pay rather than a fixed wage. We highlight the importance of superiors’ value congruence with the organization’s social initiatives and compensation scheme on their target-setting decisions. Organizations with social initiatives or that are apt to adopt such initiatives should consider our findings when developing formal controls, as superiors’ value congruence with the social mission and their compensation structure can affect the targets they set for their subordinates. Data Availability: Data are available from the authors upon request. JEL Classifications: M52.

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)0.008
metaresearch head score (Gemma)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.117
Threshold uncertainty score0.756

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0080.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.019
GPT teacher head0.383
Teacher spread0.364 · 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