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Record W2898706966 · doi:10.1108/cms-10-2017-0290

Equality and harmony: diversity management in China

2018· article· en· W2898706966 on OpenAlexaff
S. Thomson, William Wei, Phillip Swallow

Bibliographic record

VenueChinese Management Studies · 2018
Typearticle
Languageen
FieldSocial Sciences
TopicGender Diversity and Inequality
Canadian institutionsMacEwan University
Fundersnot available
KeywordsChinaDiversity (politics)Human resource managementHarmony (color)Cultural diversityTerminologySociologyBusinessPolitical scienceEconomicsManagement

Abstract

fetched live from OpenAlex

Purpose Considering the importance of China as a global economic power and the emphasis placed on human resources in a knowledge economy, the findings of no less than 30 articles on diversity management in that country seem inadequate given the growing importance of diversity in the workplace. Analysis of those articles reveals that most of the research focuses on firms located on the eastern coast. Moreover, while cataloging the types of industry and ownership covered provides a broad overview, specific industries and ownership types require further examination. Methodology Searches were conducted in both English and Chinese databases using the keyword search phrase of “diversity management and China”. The criteria for including an article were as follows: 1) an emphasis on diversity management within the business environment; 2) a focus on applications of diversity management within the People’s Republic of China, thus excluding Taiwan; and 3) a research-based or conceptual orientation. The search was further limited by using the “abstract” as a limiter under the assumption that if the concepts were important, the author(s) would have used that terminology in the abstract. Findings Gender emerged as a major concern along with residential status; racial and ethnic differences, on the other hand, cultural and/or other influences on diversity management received limited attention. Both qualitative and quantitative research methods were used by the various authors, but exploratory methods such as grounded theory saw minimal use. With the little research done on diversity management in China, it is difficult to assess whether or Chinese firms are fully using its available workforce. China must embrace diversity management practices with a view to achieving competitive advantages as well as equality and harmony in the workplace. Originality/value This is one of the first published reviews of articles from both Chinese and English databases that delves into the issue of diversity management in China.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.004
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Qualitative · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.016
Threshold uncertainty score0.035

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0020.005
Science and technology studies0.0040.004
Scholarly communication0.0040.003
Open science0.0010.003
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0040.000

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 head0.138
GPT teacher head0.360
Teacher spread0.222 · 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 source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designQualitative
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

Citations15
Published2018
Admission routes1
Has abstractyes

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