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Record W1548524209 · doi:10.1108/13527600710775739

Making a life or making a living?

2007· article· en· W1548524209 on OpenAlexaboutno aff
Yingying Zhang, Caroline Straub, Sophia Kusyk

Bibliographic record

VenueCross Cultural Management An International Journal · 2007
Typearticle
Languageen
FieldDecision Sciences
TopicEthics in Business and Education
Canadian institutionsnot available
Fundersnot available
KeywordsContext (archaeology)Value (mathematics)StakeholderOriginalitySociologyWorkforceWork (physics)CreativityGlobalizationPublic relationsPsychologySocial psychologyPolitical scienceGeographyLawEngineering

Abstract

fetched live from OpenAlex

Purpose The contemporary managerial work place is changing; baby boomers, the globalization and an increased participation of females in the workforce is redefining what value systems future managers’ will hold. This paper aims to build upon the traditional research on work ethics which focused primarily on working individuals. It seeks to explore future managers’ value systems on life vs work, in a cross‐national context. Design/methodology/approach Previously validated questionnaires, containing 33 work–life values, were completed by business students in two French‐speaking regions of the world: Paris (France) and Quebec (Canada). Factor analysis was employed to examine the underlying value structure of work and life. Findings Five factors emerged, two pertaining to work context, two to life context and one general factor as following: Extrinsic and intrinsic work context, social/society and ego/self‐life context and creativity. Subsequently, a comparison along these values is made between the two regions. Gender differences were also tested along these values. Results show differences in the value systems of these future managers based on region and gender, despite their common French language. Originality/value The paper provides a discussion of implications of the findings, within a context of ethics and social responsibility in reference to the stakeholder model.

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)0.006
metaresearch head score (Gemma)0.004
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesScholarly communication, Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.498
Threshold uncertainty score0.998

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0060.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0070.003
Open science0.0020.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0030.000

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 head0.410
GPT teacher head0.558
Teacher spread0.148 · 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.

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

Citations44
Published2007
Admission routes1
Has abstractyes

Explore more

Same venueCross Cultural Management An International JournalSame topicEthics in Business and EducationFrench-language works237,207