Severity: Warning
Message: file_get_contents(https://...@pubfacts.com&api_key=b8daa3ad693db53b1410957c26c9a51b4908&a=1): Failed to open stream: HTTP request failed! HTTP/1.1 429 Too Many Requests
Filename: helpers/my_audit_helper.php
Line Number: 176
Backtrace:
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 176
Function: file_get_contents
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 250
Function: simplexml_load_file_from_url
File: /var/www/html/application/helpers/my_audit_helper.php
Line: 3122
Function: getPubMedXML
File: /var/www/html/application/controllers/Detail.php
Line: 575
Function: pubMedSearch_Global
File: /var/www/html/application/controllers/Detail.php
Line: 489
Function: pubMedGetRelatedKeyword
File: /var/www/html/index.php
Line: 316
Function: require_once
This study investigates the relationship between digital transformation and Environmental, Social, and Governance (ESG) performance in the context of SMEs. Drawing upon Resource Orchestration Theory, this research proposes a theoretical model that examines the direct effect of digital transformation on ESG performance and the mediating roles of innovation capabilities and servitization level in this relationship. PLS-SEM and fsQCA were employed to analyze survey data from 215 SME executives. The results reveal that digital transformation positively influences ESG performance. Moreover, innovation capabilities and servitization level partially mediate the relationship between digital transformation and ESG performance. This research contributes to the literature by proposing and validating a comprehensive model that integrates these constructs, offering actionable insights for SME managers and policymakers to enhance ESG outcomes through strategic digital initiatives. Notably, fsQCA results highlight three distinct configurations of digital transformation components leading to high ESG performance, providing nuanced pathways for SMEs to achieve sustainable development.
Download full-text PDF |
Source |
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http://www.ncbi.nlm.nih.gov/pmc/articles/PMC11489648 | PMC |
http://dx.doi.org/10.1038/s41598-024-76416-8 | DOI Listing |
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