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Record W2057972608 · doi:10.1108/14013380910995520

Human resource policies, management accounting and organisational performance

2009· article· en· W2057972608 on OpenAlex
Reza Kouhy, Rishma Vedd, Takeo Yoshikawa, John Innes

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.

aboutThe title or abstract carries a Canadian signal from the geographic lexicon.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueJournal of Human Resource Costing & Accounting · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsnot available
Fundersnot available
KeywordsBenchmarkingOriginalityBusinessHuman resource managementTeamworkHuman resourcesPerformance managementAccountingManagement accountingValue (mathematics)Organizational performanceMarketingEconomicsManagementPsychologyComputer science

Abstract

fetched live from OpenAlex

Purpose The purpose of this paper is to examine the relationships between human resource (HR) policies, management accounting and organisational performance in Canada, Japan and the UK. Design/methodology/approach A cross case analysis of the observations emerging from each of six case studies (two in Canada, two in Japan and two in the UK) result in a set of 13 findings. Findings The seven main HR policies emerging from this study are the “job for life” (in one British and two Japanese cases), recruitment, training, performance‐related bonus scheme, teamwork, organisational culture and pensions. Important communication links between HR managers and management accountants are budgets, strategic plans, performance‐related bonus scheme and decision making. The “job for life” policy, employee recruitment decisions, viewing employees as assets (rather than costs), training, performance‐related bonus scheme, teamwork, organisational culture and a good pension scheme all had an impact on organisational performance. Research limitations/implications It is very difficult to link specific HR policies with changes in organisational performance because of the number of other variables affecting organisational performance and the time lags involved. Originality/value Several of the case studies are making real progress in establishing links between specific HR policies and changes in organisational performance by using benchmarking or employee opinion surveys or a combination of the results of both external benchmarking and employee opinion surveys over a number of years.

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)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Science and technology studies, Scholarly communication
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.130
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0010.001
Science and technology studies0.0020.000
Scholarly communication0.0020.002
Open science0.0010.001
Research integrity0.0000.001
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 head0.013
GPT teacher head0.230
Teacher spread0.217 · 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