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Record W2061842010 · doi:10.1504/ijaf.2009.026623

An empirical examination of both mediated and moderated effects on followers' commitment to change to the organisational BSC approach

2009· article· en· W2061842010 on OpenAlexaff
Yi Yang, Majidul Islam

Bibliographic record

VenueInternational Journal of Accounting and Finance · 2009
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicAccounting and Organizational Management
Canadian institutionsConcordia University
Fundersnot available
KeywordsTransformational leadershipDynamismContingencyPsychologyBusinessModerated mediationBalanced scorecardSocial psychologyBusiness administrationMarketing

Abstract

fetched live from OpenAlex

Kaplan and Norton (2001) presented their Balanced Scorecard (BSC) for the measurement of corporate performance and the setting of measures for employees' performance and adaptation to fit into corporate dynamism. Studies show that when a leader is unable to raise his/her followers' level of commitment to change to the organisational BSC approach, the corporation will have difficulty in achieving its mission. The commitment to change to the BSC approach provides for long-run growth and healthy business performance. This study was designed to empirically examine the effect of both mediated and moderated relations for the transformational leadership process on the followers' level of commitment to change to the organisational BSC approach. The results of the findings indicated that: there was a positive association between the transformational leader's people-oriented behaviour and the followers' level of trust, but a negative relationship between the followers' level of trust and their commitment to change to the BSC approach; the level of trust mediated the association between the leader's transformational task- and people-oriented behaviour and the followers' level of commitment to change to the organisational BSC approach. The findings suggest that the followers' attitude towards the leader, such as their level of general satisfaction, should be identified as a moderating effect/contingency approach.

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 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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.695
Threshold uncertainty score0.441

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.001
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 head0.016
GPT teacher head0.254
Teacher spread0.238 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designObservational
Domainnot available
GenreEmpirical

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".

Quick stats

Citations5
Published2009
Admission routes1
Has abstractyes

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