Data · dataset · 2026
Threshold Effect and Flywheel Mechanism of Data Elements Enabling Firms’ Strategic Transformation: A Case Study from the U-A-T Coupling Lens
Listed in ScienceDB
This dataset is the supplementary material for the research paper entitled “Threshold Effects and Flywheel Mechanisms of Data Elements Empowering Corporate Strategic Transformation: A Case Study Based on the U‑A‑T Coupling Perspective”.
Description
It systematically compiles key variables from Tencent’s publicly available financial reports, product operation metrics, and technological development records over the period 2015–2025, aiming to support the empirical analysis of how data elements drive strategic transformation.The dataset is provided as a single Excel file (one worksheet, Sheet3) and contains four main categories of information:User‑side data (U‑standardized): Metrics such as WeChat ecosystem ARPU (CNY/month), paying users and monthly active users for Tencent Music and Tencent Video, paid user conversion rates, and average daily usage time (for WeChat and Video Accounts).
These reflect the accumulation and value realisation of user‑side data assets.Asset and financial data (A‑standardized): Variables including the carrying value of investments in associates and joint ventures, total assets and their ratio, revenue from FinTech and business services, and the share of cloud business revenue. These capture the structural evolution of assets and business transformation under the influence of data elements.Technological capability data (T‑standardized): Indicators such as API call volumes, number of AI‑related patents, R&D expenditure, total revenue, R&D intensity, and large‑model training computing power.
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The API call volume field contains textual records of daily average calls for core Tencent Cloud products (e.g., Polaris products, Tencent Hunyuan large model). These data trace the trajectory of technological capability development.Comprehensive cognitive capability C(t): A derived index computed from the standardised values of the above three dimensions, designed to quantify the dynamic evolution of the firm’s capability empowered by data elements.In addition, the dataset includes a supplementary table listing the release dates, parameter sizes, and technical specifications of Tencent’s Hunyuan large‑model versions from September 2023 to December 2025.All data are sourced from Tencent’s annual reports, quarterly earnings releases, and official technical white papers, all of which are publicly accessible.
Missing data entries are annotated with reasons (e.g., Tencent Music was established in July 2016, and Video Accounts was launched in 2020) to help users correctly interpret the data boundaries.This dataset is suitable for empirical studies in areas such as corporate digital transformation, valuation of data elements, and platform economy strategic management. It can be opened and edited with standard spreadsheet software (Microsoft Excel or open‑source alternatives) without requiring special tools.
Links
Where it is published
- DOI doi.org/10.57760/sciencedb.j00289.000d9 ↗
DOI / persistent id · from scidb cn
Catalogue records · 1
- OAI-PMH record scidb.cn/oai?verb=GetRecord&metadataPrefix=oai_dc&identifier=10.57760%2… ↗
metadata API · from scidb cn
Topics
- From keywords
- Earth & Environmental Science · Engineering · Humanities · Life Sciences · Psychology & Behavioral Science · Social Science
Provenance · 1 source records, 14 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| ScienceDB | 10.57760/sciencedb.j00289.000d9 | 12 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| access_level | source · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].anzsrc:group:3303 | enrichment · scidb cn | taxonomy-embedding@1.0.0 | title+keywords+description (72%) |
| concepts[field].local:field:earth-environmental | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:engineering | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:humanities | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:life-sciences | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:psychology-behavioral | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[field].local:field:social-science | mapping · scidb cn | connector:scidb_cn@1.0.0 | |
| concepts[modality].local:modality:tabular | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (65%) |
| concepts[modality].local:modality:video | enrichment · scidb cn | keyword-concept-rules@1.0.0 | title+description (75%) |
| description | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/description |
| license | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/rights |
| publication_date | source · scidb cn | connector:scidb_cn@1.0.0 | |
| title | source · scidb cn | connector:scidb_cn@1.0.0 | /metadata/dc/title |