Journal of Scientific Information Research
Keywords
digital transformation; policy metrology; pharmaceutical enterprises; text analysis
Abstract
[Purpose/significance] Policy issuance constitutes a fundamental aspect of effective government administration. The alignment and relevance between policy content and corporate digital transformation practices determine whether policies can fulfill their functional attributes and ultimately affect the implementation effectiveness of enterprise digital transformation. [Method/process] Targeting listed companies in China's pharmaceutical industry, this study measures the semantic similarity between policy texts and annual reports, and examines the alignment between policies and corporate digital transformation behaviors at the thematic level. [Result/conclusion] Policy themes remain at the preliminary stage of digital transformation, exhibiting an overall lag behind actual corporate development. While enterprises are advancing digital transformation into deeper and more substantive implementation, policies fail to address corporate concerns in many aspects in a timely manner.
First Page
88
Last Page
99
Submission Date
May 2025
Revision Date
June 2025
Acceptance Date
August 2025
Publication Date
January 2026
Digital Object Identifier (DOI)
ꎺ 10.19809/j.cnki.kjqbyj.2026.01.009
Recommended Citation
WEN, Fangfang; ZHANG, Xueying; and CHEN, Duoduo
(2026)
"Semantic Correlation Analysis between Policy Texts and Corporate Annual Reports in the Context of Digital Transformation in the Pharmaceutical Industry,"
Journal of Scientific Information Research: Vol. 8:
Iss.
1, Article 9.
DOI: ꎺ 10.19809/j.cnki.kjqbyj.2026.01.009
Available at:
https://eng.kjqbyj.com/journal/vol8/iss1/9
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