Language ideologies in Huawei's corporate multilingual workplaces: a case study

Thesis Abstract

This study examines language ideologies within Huawei’s corporate multilingual workplaces to understand how linguistic choices, power relations, and organizational practices shape everyday communication, identity construction, and productivity in a high-technology multinational environment. The problem addressed is the mismatch between formal language policies and lived multilingual realities in a company operating across diverse linguistic communities, which can influence collaboration, knowledge transfer, and perceived legitimacy of language varieties in professional settings. The aims are to (1) map the language policy landscape and its implementation across regional headquarters and R&D centers, (2) analyze how employees negotiate language choice and authority in formal and informal interactions, and (3) assess the impact of language ideologies on collaboration, morale, and innovation. Specific objectives include (a) documenting organizational discourses surrounding Mandarin, English, and other languages used in meetings, documentation, and social interactions; (b) identifying mechanisms of language-based inclusion and exclusion; (c) evaluating the relationship between language practices and perceived organizational legitimacy; (d) exploring whether language ideologies influence knowledge sharing and problem-solving efficiency; and (e) proposing governance refinements to align language policies with multilingual realities. The study adopts a mixed-methods design, combining qualitative ethnographic elements with quantitative survey data. The population comprises Huawei employees across three continents, including headquarters staff in Shenzhen, European R&D teams, and Latin American regional offices. A stratified sample of 180 employees for surveys and 60 in-depth interviews will be selected to capture cross-functional roles (engineering, product management, sales, and HR) and hierarchical levels. Data collection instruments include a structured questionnaire measuring perceived language proficiency, legitimacy, and collaboration quality; semi-structured interview guides exploring language ideologies, power dynamics, and policy awareness; and document analysis of internal communications, policy memos, training materials, and meeting transcripts. Validity and reliability will be enhanced through pilot testing (n=30), triangulation across documents, interviews, and survey responses, and intercoder reliability using Cohen’s kappa for qualitative coding. Thematic analysis will be applied to interview and document data, while regression analysis and structural equation modeling (SEM) will test hypothesized relationships among language policy clarity, perceived legitimacy, collaboration quality, and innovation outcomes. Descriptive statistics will describe language distribution in meetings and documents, while network analysis will map cross-linguistic collaboration patterns. Theoretical framing draws on Language Ideology in the World System (Phillips and Bleiker) and Sociolinguistic Identity Theory, complemented by Akhavan and Pennycook’s sociolinguistic repertoires to interpret practices. A conceptual model will articulate paths from policy to practice, from language ideology to social inclusion, and from inclusion to performance indicators. Expected findings include (i) a divergence between formal language policies privileging English in technical collaboration and informal practices privileging Mandarin and local languages in tacit knowledge exchange; (ii) evidence of language-based gatekeeping affecting access to critical information, mentorship, and career progression; (iii) correlations between the clarity of language policy implementation and higher collaboration quality and perceived equity; and (iv) identified tensions between global integration goals and national or regional linguistic identities that influence knowledge sharing and problem-solving efficiency. The study anticipates that language ideologies significantly shape trust, perceived expertise, and the distribution of informational capital within teams, with implications for cross-cultural training and leadership communication. Contributions to knowledge include an empirically grounded account of language ideology dynamics in a leading multinational technology enterprise, integrating organizational policy analysis with ethnographic insights and quantitative measures to demonstrate how linguistic practices interface with organizational legitimacy and innovation processes in multilingual corporate ecosystems. The conclusions will offer practical recommendations for Huawei to harmonize language policies with multilingual practice, including (1) implementing transparent, role-specific language guidelines for meetings and documentation; (2) developing targeted multilingual training and mentorship programs to buffer power imbalances; (3) establishing formal channels for feedback on language policy efficacy; and (4) designing language-sensitive knowledge management systems to optimize information flow.