AI-Driven Innovation, ESG Performance, and Digital Transformation in UK Technology Firms
Adel Necib and
Nesrine Mzid
International Journal of Finance, Insurance and Risk Management, 2025, vol. 15, issue 2, 03-11
Abstract:
Purpose: With digital transformation guided by artificial intelligence (AIDT) as a moderator, this study examines the impact of innovation in new quality productivity (NQP) on environmental, social, and governance (ESG) performance across technologically advanced businesses in the United Kingdom. Design/Methodology/Approach: By using a structured questionnaire and data analysis using SPSS and AMOS, we validated two hypotheses through the modelling by structural equations (MES). Findings: The findings show that NQP innovation significantly improves environmental ESG performance, and that AIT positively modifies this relationship. The findings add to the body of knowledge on sustainable innovation and digital transformation by offering practical recommendations for high-tech companies looking to enhance their ESG performance. Practical Implications: This study makes significant additions to the literature on digital transformation and long-term innovation, particularly in the context of technologically advanced businesses in the United Kingdom. Originality/Value: The study highlights the role of digital transformation led by IA (AIDT) as a moderator strengthening the relationship between NQP and ESG.
Keywords: UK; New Quality Productivity; Green ESG Performance; AI-Driven Digital Transformation; Structural Equation Modelling. (search for similar items in EconPapers)
JEL-codes: L86 M14 O32 O33 Q56 (search for similar items in EconPapers)
Date: 2025
References: View references in EconPapers View complete reference list from CitEc
Citations:
Downloads: (external link)
https://journalfirm.com/journal/420/download (application/pdf)
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:ers:ijfirm:v:15:y:2025:i:2:p:03-11
Access Statistics for this article
More articles in International Journal of Finance, Insurance and Risk Management from International Journal of Finance, Insurance and Risk Management
Bibliographic data for series maintained by Marios Agiomavritis ().