Pulse Brain · Growing Health Evidence Index
Tier 3 — Observational / field trialPeer-reviewed

Optimizing the Digital Transformation Capability for Enhancing Economic Sustainability of Entrepreneurial Venture: The Moderating Role of Entrepreneurial Orientation

Vinod Kumar, Sachin Kumar, Sheshadri Chatterjee, Marcello M. Mariani

IEEE Transactions on Engineering Management · 2024

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Summary

This study investigates how digital transformation capabilities influence environmental, social, and economic performance in entrepreneurial ventures, using a resource-based view framework. Drawing on survey data from 312 entrepreneurs across multiple sectors and industries, the authors employed covariance-based structural equation modelling to validate a conceptual model. The findings indicate that digital transformation capability significantly impacts both environmental and social performance, which in turn drive economic sustainability, with entrepreneurial orientation playing a significant moderating role across these relationships.

UK applicability

Whilst the study does not specify geography, its findings on digital transformation's role in enhancing sustainability performance across diverse business sectors may be relevant to UK entrepreneurial ventures seeking to balance economic, environmental and social objectives. However, without sector-specific or UK-contextual data, direct applicability to UK farming systems or food enterprises cannot be assumed.

Key measures

Digital transformation capability, environmental performance, social performance, economic sustainability, entrepreneurial orientation (measured via survey responses from 312 entrepreneurs across sectors)

Outcomes reported

The study measured the impact of digital transformation capability on environmental and social performance, and how these influence economic sustainability of entrepreneurial ventures. It also examined the moderating role of entrepreneurial orientation on these relationships.

Theme
General food systems / other
Subject
Other / interdisciplinary
Study type
Research
Study design
Quantitative cross-sectional survey with structural equation modelling
Source type
Peer-reviewed study
Status
Published
System type
Other
DOI
10.1109/tem.2024.3387540
Catalogue ID
SNmp2b399g-xzvlag

Topic tags

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