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Record W2170554633 · doi:10.5539/ass.v10n14p224

Organizational Culture: The Perspectives of New Hires and Existing Employees of a Pharmaceutical Company in Thailand

2014· article· en· W2170554633 on OpenAlexvenueno aff
Suparat Yaoprukchai, U maporn Kardkarnklai

Bibliographic record

VenueAsian Social Science · 2014
Typearticle
Languageen
FieldBusiness, Management and Accounting
TopicQuality and Supply Management
Canadian institutionsnot available
Fundersnot available
KeywordsMultinational corporationOrganizational cultureClanBusinessPharmaceutical industryTeamworkHuman resourcesMarketingPublic relationsManagementSociologyPolitical scienceBiotechnology

Abstract

fetched live from OpenAlex

The recent increase in new hires by Thai pharmaceutical companies due to the unstable employment within the global pharmaceutical industry has led to a rise in human resources management expenditures. Organizational culture has become a central focus of many researchers with the aim to propose strategies for maintaining employees. The present study assessed the organisational culture of a pharmaceutical company in Thailand. In addition, the congruency between the organizational culture of new hires and existing employees was investigated. The participants were 68 employees (15 new hires and 58 existing employees) of one multinational pharmaceutical company in Thailand. The findings demonstrated that the current and preferred organizational cultures of the studied pharmaceutical company were dominated by a “Clan” culture characterized by a family-like workplace, a parent-like relationship between organizational leaders and subordinates, and teamwork-focused values. Both new hires and existing employees rated “Clan” as the dominant organizational culture, which indicated organizational culture congruence between them. The present study facilitated a better understanding of the organizational culture of the Thai pharmaceutical industry. The findings contributed to the useful resources of a Thai pharmaceutical company’s organizational culture, which are necessary for the development of proper orientation programs and activities to improve the retention of new hires.

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: Qualitative
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.019
Threshold uncertainty score0.000

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0030.004
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0060.004
Scholarly communication0.0060.003
Open science0.0010.003
Research integrity0.0010.002
Insufficient payload (model declined to judge)0.0020.000

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 head0.038
GPT teacher head0.311
Teacher spread0.273 · 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

Citations4
Published2014
Admission routes1
Has abstractyes

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