Leveraging digital connectivity for innovation performance
A fsQCA study on Chinese high-tech manufacturing firms
Dados Bibliográficos
| ID | 22236752 |
|---|---|
| Autores | Cong Cheng (0000-0003-4720-8936, Zhejiang University of Technology), Zefeng Miao (Zhejiang University of Technology, autor correspondente) |
| Ano | 2025 |
| Volume | 12 |
| Fascículo | 1 |
| Data de publicação | 2025-01-16 |
| Peer Reviewed | Sim |
| Open Access | Sim |
| Tipo | ARTICLE |
| Periódico | Humanities and Social Sciences Communications (JOURNAL) |
| Identificadores do periódico | ISSN: 2662-9992 • E-ISSN: 2662-9992 |
| Editora | Springer Science and Business Media LLC (PUBLISHER) |
| DOI | 10.1057/s41599-025-04372-3 |
| OpenAlex | W4406439234 |
| Idioma | EN |
| Referências citadas | 59 |
The digital connectivity view (DCV) represents a distinct strategic framework for understanding how firms leverage interconnected digital technologies to create sustainable competitive advantages in global markets. While digital connectivity promises enhanced innovation performance, organizations face significant challenges in effectively leveraging these capabilities, with outcomes remaining highly uneven across industries. This study examines how different configurations of digital connectivity elements and organizational capabilities drive innovation performance in manufacturing firms through an integrated theoretical framework combining dynamic capabilities theory and DCV. Using fuzzy-set qualitative comparative analysis of 63 Chinese high-tech manufacturing firms, the research identifies multiple distinct pathways to high innovation performance. The findings reveal four key mechanisms that explain how firms effectively leverage digital connectivity, with digital-architecture resources playing a central role. Different capability configurations produce varying levels of radical and incremental innovation outcomes. The research advances innovation management literature by empirically validating configurational patterns, developing a novel theoretical framework bridging DCV with dynamic capabilities theory, and providing practical insights for manufacturing firms in emerging economies navigating global crises while maintaining innovation vitality
Business · Geography · High tech · Industrial organization · Manufacturing engineering · Collaboration in agile enterprises · Computer Science · Economic and Technological Innovation · Engineering · Innovation and Knowledge Management
Fuzzy-Set Social Science
Redesigning Social Inquiry
Understanding digital transformation
Substitutes or Complements? A Configurational Examination of Corporate Governance Mechanisms
Dynamic Capabilities and Organizational Agility
Digital Innovation Management
Intermediate input imports and innovations
Digital technologies, innovation, and skills
Artificial intelligence, firm growth, and product innovation
Artificial intelligence and industrial innovation
The Adoption of Radical and Incremental Innovations
Digital Transformation and Innovation Management
Research Commentary —The New Organizing Logic of Digital Innovation
Explicating dynamic capabilities
The impact of digital capabilities and dynamic capabilities on business model innovation
Digital transformation, entrepreneurship, and disruptive innovation
The co-evolutionary relationship between digitalization and organizational agility
Set-Theoretic Methods for the Social Sciences
Location, control and innovation in knowledge-intensive industries
Reliability in Content Analysis
| Velocidade de citação | historical |
|---|---|
| Altamente citado | Não |