We found a match
Your institution may have access to this item. Find your institution then sign in to continue.
- Title
Measuring Corporate Human Capital Disclosures: Lexicon, Data, Code, and Research Opportunities.
- Authors
Demers, Elizabeth; Wang, Victor Xiaoqi; Wu, Kean
- Abstract
Human capital (HC) is increasingly important to corporate value creation. Unlike other assets, however, HC is not currently subject to well-defined measurement or disclosure rules. We use a machine learning algorithm (word2vec) trained on a confirmed set of HC disclosures to develop a comprehensive list of HC-related keywords classified into five subcategories (DEI; health and safety; labor relations and culture; compensation and benefits; and demographics and other) that capture the multidimensional nature of HC management. We share our lexicon, corporate HC disclosures, and the Python code used to develop the lexicon, and we provide detailed examples of using our data and code, including for fine-tuning a BERT model. Researchers can use our HC lexicon (or modify the code to capture another construct of interest) with their samples of corporate communications to address pertinent HC questions. We close with a discussion of future research opportunities related to HC management and disclosure. Data Availability: Data are available from the public sources cited in the text. JEL Classifications: B40; C80; M14; M41; M54.
- Subjects
MACHINE learning; LANGUAGE models; HUMAN capital; LEXICON; VALUE creation; INDUSTRIAL relations
- Publication
Journal of Information Systems, 2024, Vol 38, Issue 2, p163
- ISSN
0888-7985
- Publication type
Article
- DOI
10.2308/ISYS-2023-023