A chorus of different tongues: Official corporate language fluency and informal influence in multinational teams
Abstract
Multinational team members commonly face challenges to influence their peers to attain shared work goals in a language different from their mother tongue. However, the mechanisms linking multinational team members’ official corporate language fluency and their displays of informal influence are not well understood. Drawing from status characteristics theory, we propose that peer-granted status mediates the relationship between fluency in the official corporate language and informal influence. We tested this prediction across two field studies and two experiments utilizing three different operationalizations of informal influence: voice behavior, voice quality, and leadership emergence. Overall, we demonstrate that members fluent in the official corporate language receive higher peer-granted status than their less fluent peers, and this relationship is stronger in teams whose members primarily converse in a common non-corporate language. In turn, high-status members engage in voice more frequently, and are more likely to convey voice quality and emerge as leaders.
Study specs
- Institution
- IESE Business School,Lille Économie Management
- Year
- 2024
- Human Data Platform
- Prolific
- Source
- View Source Google Scholar
Peer Review & Critical Discussion
Potential Selection Bias in 2023 Cohort
The participant pool shows a concerning overrepresentation of users from high-income demographics. Looking at Table 3, we can see that 78% of respondents had annual incomes above $75k, which significantly limits the generalizability of these findings to broader populations.
Non-naive Participants Issue
I've noticed a methodological concern regarding participant naivety. Given that Prolific users often complete multiple studies, there's a real risk that participants had prior exposure to similar experimental paradigms, which could confound the results.
RLHF Applicability to This Study Design
The implications for RLHF training pipelines are understated. If we accept the authors' conclusions about preference stability, this has direct consequences for how we should structure reward model training. The temporal decay effect described in Section 4.2 is particularly relevant.
Verify your expertise to join discussion
Create an account and verify your credentials to participate in peer discussions.