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Record W2300651729 · doi:10.1108/jmp-09-2013-0289

A cross-cultural examination of preferences for work attributes

2016· article· en· W2300651729 on OpenAlexaff
Melissa S. Woodard, Jane K. Miller, Daniel J. Miller, Kirk Silvernail, Chun Guo, Sudhir Nair, Mehmet Devrim Aydın, Ana Heloísa da Costa Lemos, Paul Donnelly, Vilmantè Kumpikaitè-Valiüniené, Robert D. Marx, Linda M. Peters

Bibliographic record

VenueJournal of Managerial Psychology · 2016
Typearticle
Languageen
FieldSocial Sciences
TopicInternational Student and Expatriate Challenges
Canadian institutionsUniversity of Victoria
Fundersnot available
KeywordsCollectivismPreferenceSocial psychologyPsychologyGeneralizability theoryIndividualismOriginalitySample (material)RemunerationPrestigeValue (mathematics)Human resource managementMarketingManagementCreativityEconomicsBusiness

Abstract

fetched live from OpenAlex

Purpose – The purpose of this paper is to examine the relationship between individual- and country-level values and preferences for job/organizational attributes. Design/methodology/approach – Survey data were collected from 475 full-time employees (average of nine years work experience, and three years in a managerial position) enrolled in part-time MBA programs in seven countries. Findings – Preference for a harmonious workplace is positively related to horizontal collectivism, whereas preference for remuneration/advancement is positively related to vertical individualism. The authors also find a positive relationship between preference for meaningful work and horizontal individualism, and between preference for employer prestige and social adjustment (SA) needs. Research limitations/implications – Although the sample comprised experienced, full-time professionals, using graduate business students may limit generalizability. Overall, the results provide initial support for the utility of incorporating the multi-dimensional individualism and collectivism measure, as well as SA needs, when assessing the relationships between values and employee preferences. Practical implications – For practitioners, the primary conclusion is that making assumptions about preferences based on nationality is risky. Findings may also prove useful for enhancing person-organization fit and the ability to attract and retain qualified workers. Originality/value – This study extends research on workers’ preferences by incorporating a new set of values and sampling experienced workers in a range of cultural contexts.

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)0.001
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Other design · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.728
Threshold uncertainty score0.264

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.001
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
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 head0.101
GPT teacher head0.432
Teacher spread0.332 · 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 designOther design
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

Citations20
Published2016
Admission routes1
Has abstractyes

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