| Literature DB >> 35369215 |
Ya Xi Shen1, Chuang Zhang1, Lamei Zuo1, Xingxing Zhou2, Xuhui Deng1, Long Zhang1.
Abstract
Functional language has been used in many multinational corporations (MNCs) as a way to overcome the problems caused by the coexistence of multiple languages in the workplace. The existing literature has explored the importance, adoption, and effectiveness of functional language. Yet, how functional language shapes host country employees' moral cognition and behavior is insufficiently researched. Guided by the Social Identity Theory, this manuscript shows that host country employees' functional language proficiency (i.e., English) enhances their unethical pro-organizational behavior through their linguistic group identification and moral disengagement. We tested our predictions using the data collected from 309 full-time host country employees through an online survey, and the results generally supported our hypotheses. The findings make contributions to both international management and language literature and organizational moral behavior literature.Entities:
Keywords: knowledge transfer; language; moral disengagement; multinational corporation; organizational identification; unethical pro-organizational behavior
Year: 2022 PMID: 35369215 PMCID: PMC8971832 DOI: 10.3389/fpsyg.2022.852450
Source DB: PubMed Journal: Front Psychol ISSN: 1664-1078
FIGURE 1Proposed mediated model.
Means, standard deviations, and correlations.
| Variable | Mean | SD | 1 | 2 | 3 | 4 | 5 | 6 |
| 1. Gender | 1.57 | 0.50 | ||||||
| 2. Age | 2.72 | 0.76 | −0.22 | |||||
| 3. Education | 3.08 | 0.75 | 0.02 | −0.13 | ||||
| 4. Organizational functional language proficiency | 3.30 | 1.01 | 0.05 | –0.06 | 0.50 | |||
| 5. Linguistic group identification | 3.82 | 0.78 | 0.11 | –0.01 | 0.32 | 0.64 | ||
| 6. Moral disengagement | 2.34 | 0.94 | 0.10 | 0.03 | 0.07 | 0.18 | 0.15 | |
| 7. UPB | 2.32 | 0.81 | 0.16 | –0.10 | 0.08 | 0.09 | 0.06 | 0.68 |
N = 309, *p < 0.05, **p < 0.01. UPB, unethical pro-organizational behavior.
Results of reliability and validity analyses.
| CR | AVE | MSV | ASV | |
| Linguistic group identification | 0.72 | 0.45 | 0.41 | 0.15 |
| Moral disengagement | 0.89 | 0.73 | 0.03 | 0.17 |
| UPB | 0.88 | 0.54 | 0.46 | 0.16 |
CR, composite reliability; AVE, average variance extracted; MSV, maximum shared squared variance; ASV, average shared squared variance; UPB, unethical pro-organizational behavior.
Results of confirmatory factor analyses.
| Model | χ2 |
| CFI | TLI | RMSEA | SRMR |
| Three-factor model (proposed model) | 279.27 | 62 | 0.90 | 0.87 | 0.10 | 0.06 |
| Two-factor model: LGID and MD were combined into one factor | 623.71 | 64 | 0.74 | 0.68 | 0.17 | 0.12 |
| One-factor model: all variables were combined into one factor | 789.33 | 65 | 0.66 | 0.59 | 0.19 | 0.12 |
CFI, comparative fit index; TLI, Tucker-Lewis index; RMSEA, root mean square error of approximation; SRMR, standardized root mean square residual, LGID, linguistic group identification; MD, moral disengagement.
Results of regression analyses.
| Variables | Model 1 | Model 2 | Model 3 | ||||
| Gender | 0.11 | 0.09 | 0.11 | 0.09 | 0.14 | 0.14 | 0.08 |
| Age | 0.06 | 0.05 | 0.06 | 0.05 | –0.06 | –0.07 | –0.10 |
| Education | 0.33 | 0.01 | 0.07 | 0.03 | 0.07 | 0.06 | 0.04 |
| OFLP | 0.64 | ||||||
| LGID | 0.13 | 0.03 | –0.06 | ||||
| MD | 0.69 | ||||||
|
| 0.34 | 0.65 | 0.13 | 0.18 | 0.18 | 0.19 | 0.71 |
| Adjusted | 0.11 | 0.41 | 0.01 | 0.02 | 0.03 | 0.02 | 0.49 |
N = 309, *p < 0.05, **p < 0.01; In Model 1, Y, Linguistic group identification; In Model 2, Y, Moral disengagement; In Model 3, Y, Unethical pro-organizational behavior; OFLP, Organizational functional language proficiency; LGID, Linguistic group identification; MD, Moral disengagement.