Does applying a circular business model lead to organizational resilience? Mediating effects of industry 4.0 and customers integration
Bibliographic Data
| ID | 21403817 |
|---|---|
| Authors | Ana Beatriz Lopes De Sousa Jabbour (0000-0001-6423-8868, EM Normandie Business School, corresponding author), Hengky Latan (0000-0002-4107-6373), Charbel José Chiappetta Jabbour (0000-0002-6143-4924, NEOMA Business School), Bruno Michel Roman Pais Seles (0000-0003-1179-5753, Universidade Estadual Paulista (Unesp)) |
| Year | 2023 |
| Volume | 194 |
| Pages | 122672 |
| Publication date | 2023-09-01 |
| 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.2023.122672 |
| OpenAlex | W4381140998 |
| Language | EN |
| Citations received | 8 |
| References cited | 50 |
Business · Business model · Circular economy · Industrial organization · Knowledge management · Process management · Resilience (materials science) · Structural equation modeling · Computer Science · Innovation and Socioeconomic Development · Marketing · Supply Chain Resilience and Risk Management · Sustainable Supply Chain Management
“Assessment of circular economy strategies for climate change mitigation”
How to Navigate Disrupted Business Models in the 21st Century
The Role of Supply Chain Capabilities in Linking Circular Economy Practices and Supply Chain Resilience
Forging supply chain resilience
Enhancing organizational resilience through big data analytics capability
AI-enabled information processing capability as drivers of firm resilience
Drivers and barriers of smart technologies for circular economy
Financial performance of new circular economy companies in rural settings
Scale Development
Firm's resilience to supply chain disruptions
Resilience
Industry 4.0 technologies
Marker Variable Choice, Reporting, and Interpretation in the Detection of Common Method Variance
Unlocking the circular economy through new business models based on large-scale data
A Contingent Resource‐Based Perspective of Supply Chain Resilience and Robustness
Explicating dynamic capabilities
A review on circular economy
Beyond addressing multicollinearity
Addressing common method variance and endogeneity in vocational behavior research
Foundations of Factor Analysis
Survey response rates
Principles and Practice of Structural Equation Modeling
| Unique citing works | 8 |
|---|---|
| Citations per year | 4 |
| Citation span | 2024 - 2026 (3) |
| Citation velocity | current |
| Highly cited | No |
| Citation types | Neutral: 7 |