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Record W1488014611 · doi:10.1108/00483480710726127

Human resource management in the North American automotive industry

2007· article· en· W1488014611 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

VenuePersonnel Review · 2007
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicJob Satisfaction and Organizational Behavior
Canadian institutionsQueen's University
Fundersnot available
KeywordsGeneralizability theoryHuman resource managementPerceived organizational supportOrganizational performanceJob satisfactionContextual performanceAbsenteeismHuman resourcesAutomotive industryEmployee researchPsychologyJob performanceBusinessOrganizational commitmentOrganizational justiceJob designPsychosocialContext (archaeology)MarketingKnowledge managementSocial psychologyManagement

Abstract

fetched live from OpenAlex

Purpose This article aims to provide a quantitative review of the range and effects of human resource management (HRM) practices in the North American automotive industry. Design/methodology/approach A total of 14 studies provided data for an employee‐level meta‐analysis of the relationships comprising high performance work systems in the automotive manufacturing sector. As an extension of research in this context, we hypothesized that three clusters of organizational practices (work systems, HR policies, and leadership) would be associated with two clusters of employee‐level psychosocial outcomes (person‐focused, organizational‐focused) which, in turn, would be related to employee performance. Findings It was found that work systems and HR policies related to both person‐focused (comprising individual job satisfaction, health, self‐esteem, and social support) and organization‐focused (comprising organizational commitment and perceptions of organizational justice) outcomes. The leadership cluster had a strong association with the person‐focused outcomes. Organizational – but not personal‐focused outcomes were associated with employee performance comprising employee effectiveness, self‐ratings of performance, turnover, and absenteeism. Research limitations/implications The results from this study provide support for the role of employee‐level psychosocial outcomes as mechanisms between HRM practices and employee performance, supporting an idea that is often discussed but rarely tested in the literature. These results need to tempered by the fact that this meta‐analysis was based on a relatively small number of studies in one industrial sector, thereby limiting the generalizability of the model. Practical implications These data suggest that managing with a high‐involvement orientation is associated with positive consequences for individuals and organizations within the automotive industry. The paper is not espousing the view that technologically‐focused systems are of little value in manufacturing industries, but rather that taking a more humanistic approach to how they are implemented may benefit all parties involved. Originality/value This paper provides an empirical review of HRM practices and outcomes in the automotive manufacturing context. The role of leadership in these systems is highlighted. The results offer guidance to researchers and practitioners interested in researching and managing the human side of automobile manufacturing.

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)0.001
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: Observational
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.185
Threshold uncertainty score0.434

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.001
Science and technology studies0.0000.000
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 head0.026
GPT teacher head0.287
Teacher spread0.261 · 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