Digital Transformation and the Synergistic Evolution of Green Talent Capacity: Theoretical Lineage, Research Progress and Future Prospects
Year: 2025
Type: article
Abstract: Against the backdrop of the deep integration of global climate change and digital technology, the synergistic evolution of digital transformation and green talent capacity has become a core issue for organisations to achieve sustainable development. This paper reveals the theoretical links and practical paths between the two by systematically reviewing recent research results: digital transformation optimises the traceability and efficiency of green practices through technological means such as e-HRM and intelligent algorithms [1], while green talent capabilities drive low-carbon transformation of enterprises through green innovation behaviours [2], and environmental behaviours of organisational citizenship [3], drive the low-carbon transition of firms. Studies have shown that the synergy between the two significantly enhances organisational resilience [4], green reputation, and dual innovation capabilities [5], but cross-cultural differences (e.g., China-Brazil hospitality comparison) and ethical risks of technology [6] still need to be addressed) still need attention. The current study has problems such as insufficient theoretical integration and limited industry coverage, and in the future, it is necessary to construct a dynamic model of green technology-green capability-green culture, to explore the potential of green applications of meta-universe and generative AI, and to promote the tripartite linkage of ‘policy-company-university’. This paper argues that digital transformation and green capabilities are the key to the development of a green culture. This paper argues that the synergy between digital transformation and green competence should not be limited to instrumental integration, but should become the core gene of organisational strategy, in order to realise the two-way empowerment of ‘digital greening’ and ‘green digitisation’.
Source: Energy & Environment Management
DOI: 10.63333/eem.v1n24
Authors: Longtian Li, LONGTIAN LI
Language: English
Subfield: Marketing
Domain: Social Sciences
Open Access status: hybrid
OpenAlex ID: W4410244933