A Comparative Corpus Analysis of Business English Job Advertisements across Different Industries
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Abstract
This study analyzed and compared language use in business English job advertisements across four industries—Finance, Information Technology, Healthcare, and Marketing—using a corpus linguistics approach. A total of 400 job ads from major online platforms (January–June 2024) were examined through AntConc 4.0, LancsBox 6.0, ATLAS.ti, and SPSS. Analyses focused on word frequency, lexical bundles, and personality traits based on the Big Five Model. Results showed significant differences (p < 0.001) among industries. Finance highlighted systematicity with “financial,” “analysis,” and “compliance”; Technology stressed innovation with “agile” and “development”; Healthcare emphasized care with “patient care” and “safety”; Marketing focused on creativity with “communication” and “brand.” Personality analysis revealed dominant traits: Conscientiousness (Finance, 89%), Openness (Technology, 78%), Agreeableness (Healthcare, 91%), and Extraversion (Marketing, 85%). The findings can inform business English curriculum design to align with industry-specific demands and better prepare learners for future careers.
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