Advancing Corporate Social Responsibility: Development of a Measurement Scale Unveiling Organizational Citizenship Behaviors in Culturally Diverse Environments
Why this work is in the frame
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Bibliographic record
Abstract
Abstract Objective The modern concept of corporate social responsibility (CSR) is increasingly becoming integrated into the practices of organizations. One of the distinctive individual competencies in CSR is the ability to work in a multicultural environment. This study proposes a suitable empirical measurement tool that facilitates understanding organizational citizenship behaviors focused on cultural diversity (OCBCs). Methodology To validate the OCBC measure, 980 participants completed the questionnaire (n = 980). An exploratory factor analysis (EFA) was conducted on one part of the sample as a prerequisite to a confirmatory factor analysis (CFA) on the other part of the sample. Finding This tool enabled the identification of two main types of OCBCs: cultural initiative and cultural helping. These actions enhance organizational practices for integrating cultural diversity and promoting diverse cultural values. Value Added This study furthers the understanding of OCBCs and the role of individuals in culturally diverse contexts. This study contributes to international human resource management research and practice by developing an instrument for use in expatriate contexts or in those associated with organizational cultural diversity. It provides a deeper look at OCBs and contributes to the scientific literature on the role of human resources in promoting sustainable development in organizations. Recommendations The OCBCs measurement tool could assist human resource managers seeking to encourage and facilitate the performance of appropriate OCBCs in the workplace. This performance will allow OCBCs to facilitate informal learning.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it