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Record W4392009308 · doi:10.7202/1109478ar

Job Standardization and Employee Voice

2024· article· en· W4392009308 on OpenAlexvenueno aff
Hsiao‐Yen Mao, Chueh‐Wei Mao

Bibliographic record

VenueRelations industrielles · 2024
Typearticle
Languageen
FieldSocial Sciences
TopicEmotional Labor in Professions
Canadian institutionsnot available
Fundersnot available
KeywordsStandardizationEmployee voiceBusinessPublic relationsComputer sciencePolitical science

Abstract

fetched live from OpenAlex

An organization expects its employees to comply with job standardization to improve its production efficiency, while also expecting them to make suggestions to improve their job performance. Are the two goals compatible? Does job standardization turn employees into active speakers or stifled ones? This study is about how and why job standardization influences employee voice. I use conservation of resources (COR) theory to articulate competing hypotheses and a mediating process for the individual mechanism of employees’ role orientation in their job. In a three-wave panel survey, 232 employees completed questionnaires. The results indicate that job standardization reduces employee voice by narrowing the employee’s role orientation, in line with the resource conservation argument of COR theory. The results further suggest that job standardization is resource-depleting and causes the employee to focus on resource conservation to fulfill job requirements. The employee is less likely to consume resources and thus less likely to voice ideas and suggestions. This study shifts our understanding of employee voice from individual, interpersonal and organizational antecedents to the neglected antecedent of job characteristics. Given that the effects of job characteristics have often been explained in terms of the job itself, i.e., job characteristics theory, this study provides an alternative explanation in terms of the worker, i.e., resource theory. Organizations standardize jobs in order to improve production; in doing so, however, they create a dilemma: job standardization makes production more difficult to improve because the employees are less likely to voice their concerns. This study provides a specific, job-related way for managers to keep employee voice from being stifled or ignored. I propose that job standardization should consider the relative importance of employee voice and be classified as either discipline-related or job-content-related. Abstract An organization expects its employees to comply with job standardization to improve its production efficiency, while also expecting them to make suggestions to improve their job performance. Are the two goals compatible? Does job standardization turn employees into active speakers or stifled ones? This study is about how and why job standardization influences employee voice. I use conservation of resources (COR) theory to articulate competing hypotheses and a mediating process for the individual mechanism of employees’ role orientation in their job. In a three-wave panel survey, 232 employees completed questionnaires. The results are consistent with the resource conservation argument of COR theory: job standardization is resource-depleting and tends to narrow the role orientation of employees, who thus focus on resource conservation to fulfill job requirements and are in turn less likely to consume resources and voice suggestions. This study provides a specific, job-related way for managers to keep employee voice from being stifled or ignored. Job standardization should consider the relative importance of employee voice and be classified as discipline-related or job-content-related.

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)0.000
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: Not applicable · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.920
Threshold uncertainty score0.626

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.001
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 head0.034
GPT teacher head0.341
Teacher spread0.307 · 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 designNot applicable
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

Citations1
Published2024
Admission routes1
Has abstractyes

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