{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,11]],"date-time":"2025-10-11T11:14:42Z","timestamp":1760181282925,"version":"build-2065373602"},"reference-count":33,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T00:00:00Z","timestamp":1607299200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Under the \u201cInternet+\u201d environment, the R&amp;D intensity of products and services has increased; hence, organizations need to improve their ability to integrate knowledge and technology resources. Knowledge gaps will arise when an organization\u2019s knowledge reserves fail to meet the needs of innovation activities. This research established a network of complete knowledge topics under the \u201cInternet+\u201d environment based on the Word2Vec model. The word vectors and word frequencies of organizational reserve knowledge texts were analyzed to establish an organizational reserve knowledge topic network. The Term Frequency-Inverse Document Frequency algorithm was used to identify the demanded knowledge topic. The satisfaction capability of demanded knowledge in the reserve knowledge topic network was calculated via the eigenvector centrality and the fuzzy evaluation method. The corresponding strategies were then put forward to make up the knowledge gap. Finally, a case study was conducted and compared with SWOT (Strengths, Weaknesses, Opportunities, and Threats) and Venn diagram analysis on the economic and management college of a university in Beijing to verify the effectiveness of this method.<\/jats:p>","DOI":"10.3390\/info11120572","type":"journal-article","created":{"date-parts":[[2020,12,7]],"date-time":"2020-12-07T12:24:39Z","timestamp":1607343879000},"page":"572","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":5,"title":["Research on Knowledge Gap Identification Method in Innovative Organizations under the \u201cInternet+\u201d Environment"],"prefix":"10.3390","volume":"11","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5816-8127","authenticated-orcid":false,"given":"Lin","family":"Qi","sequence":"first","affiliation":[{"name":"School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China"},{"name":"Beijing World Urban Circular Economy System (Industry) Collaborative Innovation Center, Beijing 100192, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xuejiao","family":"An","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Shuo","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, China"},{"name":"Laboratory of Bid Data Decision-Making for Green Development, Beijing 100192, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiang","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Engineering, China Agricultural University, Beijing 100083, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2020,12,7]]},"reference":[{"key":"ref_1","first-page":"135","article-title":"The Impact of Internet Development on the Transformation and Upgrading of Regional Industrial Struct\u2014Research Based on Mediating Effect","volume":"39","author":"Wang","year":"2020","journal-title":"J. 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