{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T11:07:30Z","timestamp":1780052850293,"version":"3.54.0"},"reference-count":92,"publisher":"Emerald","issue":"5","license":[{"start":{"date-parts":[[2024,2,22]],"date-time":"2024-02-22T00:00:00Z","timestamp":1708560000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["JKM"],"published-print":{"date-parts":[[2024,5,16]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>Driven by the development of the global digital economy, knowledge management in industrial enterprises offers more possibilities for green innovation. Based on the perspective of external knowledge sources, this study aims to construct a panel regression model to explore the relationship between digital economy and industrial green innovation efficiency.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>Panel data from 30 regions in China from 2011 to 2020 were selected as research samples. All data are obtained from national and provincial statistical yearbooks. Coupling coordination degree analysis, entropy method, panel regression analysis, robustness test and threshold effect test by Stata 16.0 were used to test the hypotheses.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The empirical results demonstrate the hypotheses and reveal the following findings: the digital economy is positively related to industrial green innovation efficiency and external knowledge sources, and external knowledge sources mediate the relationship between them. Moreover, based on the threshold test results, the digital economy has a double-threshold effect on industrial green innovation efficiency.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>Based on the perspective of external knowledge sources, the proposed mediating mechanism between the digital economy and industrial green innovation efficiency has not been established previously, further enriching the research on the antecedents and outcomes of external knowledge sources. Moreover, this study estimated the direct influence mechanism and double-threshold effect of the digital economy on industrial green innovation efficiency from theoretical and empirical analysis, thus responding to the call of scholars and adding to existing research on how the digital economy affects the green transformation of industrial enterprises.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/jkm-05-2023-0435","type":"journal-article","created":{"date-parts":[[2024,2,21]],"date-time":"2024-02-21T23:04:36Z","timestamp":1708556676000},"page":"1396-1413","source":"Crossref","is-referenced-by-count":15,"title":["The relationship between digital economy and industrial green innovation efficiency \u2013 based on the perspective of external knowledge sources"],"prefix":"10.1108","volume":"28","author":[{"given":"Ganli","family":"Liao","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xinshuai","family":"Hou","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yi","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Jingyu","family":"Wang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"140","published-online":{"date-parts":[[2024,2,22]]},"reference":[{"key":"key2024051517215346400_ref001","doi-asserted-by":"crossref","first-page":"611","DOI":"10.1016\/j.jclepro.2019.05.024","article-title":"Impact of knowledge management practices on green innovation and corporate sustainable development: a structural analysis","volume":"229","year":"2019","journal-title":"Journal of Cleaner Production"},{"key":"key2024051517215346400_ref002","doi-asserted-by":"crossref","first-page":"483","DOI":"10.1016\/j.techfore.2017.12.016","article-title":"Green innovation and organizational performance: the influence of big data and the moderating role of management commitment and HR practices \u2013 ScienceDirect","volume":"144","year":"2019","journal-title":"Technological Forecasting and Social Change"},{"issue":"3","key":"key2024051517215346400_ref003","doi-asserted-by":"crossref","first-page":"57","DOI":"10.4067\/S0718-27242012000300006","article-title":"Analyzing the interaction between R&D subsidies and firm\u2019s innovation strategy","volume":"7","year":"2012","journal-title":"Journal of Technology Management & Innovation"},{"key":"key2024051517215346400_ref004","first-page":"1","article-title":"The inclusive analysis of green technology implementation effect on employee knowledge, health, job opportunities in the production houses","year":"2022","journal-title":"Journal of the Knowledge Economy"},{"issue":"5","key":"key2024051517215346400_ref005","doi-asserted-by":"crossref","first-page":"868","DOI":"10.1108\/JIC-06-2020-0204","article-title":"Does green intellectual capital matter for green innovation adoption? 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