Driving Sustainable Innovation: A Review of Data-Driven Technologies in Sustainable Business Model Innovation
article
Many companies use data-driven technologies to drive sustainable business model innovation (BMI), yet often face challengesin doing so effectively. However, the literature at the intersection of data-driven and sustainable BMI remains conceptuallydispersed, limiting theoretical progress and practical application. To consolidate the literature, we combine a systematic liter-ature review with bibliometric coupling to conceptualize data-driven sustainable BMI. First, we identify five distinct researchstreams—digital platforms, circular economy, smart manufacturing and supply chains, blockchain, and servitization—whichreflect diverse technological pathways to transform traditional business models into sustainable ones. Second, we develop adynamic capabilities-based process model that explains how companies can achieve this transformation by orchestrating data-driven and sustainable capabilities across the initiation, ideation, integration, and implementation phases of BMI. This studyadvances theoretical understanding and provides practical guidance on how data-driven technologies can enable positive envi-ronmental, social, and economic outcomes.
Topics
TNO Identifier
1018670
ISSN
0964-4733
Source title
Business Strategy and the Environment
Pages
1-12