Digital-enabled supply chain innovation and CO2 emissions
The contingent role of first-tier supplier's structural holes
Bibliographic Data
| ID | 21402990 |
|---|---|
| Authors | Xincheng Wang (0000-0001-8027-018X, Tongji University), Tianyu Gong (0000-0001-8701-1068, Tongji University, corresponding author) |
| Year | 2024 |
| Volume | 201 |
| Pages | 123252 |
| Publication date | 2024-04-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Technological Forecasting and Social Change (JOURNAL) |
| Journal identifiers | ISSN: 0040-1625 • E-ISSN: 1873-5509 |
| Publisher | Elsevier BV (PUBLISHER) |
| DOI | 10.1016/j.techfore.2024.123252 |
| OpenAlex | W4391812088 |
| Language | EN |
| Citations received | 4 |
| References cited | 77 |
Business · Economics · Environmental economics · Industrial organization · Supply chain · Digital Transformation in Industry · Innovation and Knowledge Management · Marketing · Sustainable Supply Chain Management
How does supply chain digitalization promote corporate carbon reduction performance? An empirical study based on DID and dynamic QCA
Communist CEOs and corporate sustainability
Understanding the nonlinear effect of digital technology development on CO 2 reduction
Digital infrastructure investment and carbon emissions reduction based on the Broadband China policy
Knowledge Networks, Collaboration Networks, and Exploratory Innovation
Difference in degrees
Understanding digital transformation
Shaping Agility through Digital Options
Embracing Digital Innovation in Incumbent Firms
Artificial intelligence and industrial innovation
Strategic Orientation of the Firm and New Product Performance
On Network Theory
Specification Tests in Econometrics
Punishment by Securities Regulators, Corporate Social Responsibility and the Cost of Debt
Scenario prediction and decoupling analysis of carbon emission in Jiangsu Province, China
Effects of technological changes on China's carbon emissions
Digital transformation by SME entrepreneurs
Using Heteroscedasticity to Identify and Estimate Mismeasured and Endogenous Regressor Models
Some unique properties of eigenvector centrality
Driving forces and barriers of Industry 4.0
Impact of a Confounding Variable on a Regression Coefficient
Dynamic Count Data Models of Technological Innovation
| Unique citing works | 4 |
|---|---|
| Citations per year | 2 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 4 |