{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,2]],"date-time":"2026-05-02T06:49:54Z","timestamp":1777704594748,"version":"3.51.4"},"reference-count":6,"publisher":"SAGE Publications","issue":"6","license":[{"start":{"date-parts":[[2020,5,4]],"date-time":"2020-05-04T00:00:00Z","timestamp":1588550400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"published-print":{"date-parts":[[2020,6,25]]},"abstract":"<jats:p>\n                    As an important part of China\u2019s strategic emerging industries, the development of AI industry is rapid. The state and local governments have issued policies to encourage its development. The number of AI enterprises is increasing, its quality is also improving, and the application scope and market share of products are gradually expanding. With the large amount of capital input, the efficiency of capital input-output in AI enterprises has been paid more and more attention. In this paper, 48 listed companies in AI stock market are selected, with undistributed profit, net profit and surplus reserve as output indicators, monetary capital, accounts receivable, inventory and fi\n                    <jats:italic>x<\/jats:italic>\n                    ed assets as input indicators, and DEA model is used to evaluate their capital input-output efficiency. The results show that the capital input-output efficiency of 16 companies is DEA effective, and for non DEA effective sample companies, relevant improvement strategies are proposed.\n                  <\/jats:p>","DOI":"10.3233\/jifs-179781","type":"journal-article","created":{"date-parts":[[2020,5,5]],"date-time":"2020-05-05T10:50:12Z","timestamp":1588675812000},"page":"7033-7040","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":4,"title":["Evaluation of capital input and output efficiency of China\u2019s ai enterprises based on DEA model"],"prefix":"10.1177","volume":"38","author":[{"given":"Xiong","family":"Bin","sequence":"first","affiliation":[{"name":"School of Graduate, Wuhan University of Technology, Wuhan, P.R. China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"179","published-online":{"date-parts":[[2020,5,4]]},"reference":[{"key":"e_1_3_1_2_2","first-page":"60963","article-title":"Emotional Computing: The new economic practice of artificial intelligence industry: Also on the enlightenment to Shanxi\u2019s intelligent transformation and development","volume":"6","author":"Zhou Z.H.","year":"2016","unstructured":"ZhouZ.H., Emotional Computing: The new economic practice of artificial intelligence industry: Also on the enlightenment to Shanxi\u2019s intelligent transformation and development, Economic issues6 (2016), 60963.","journal-title":"Economic issues"},{"key":"e_1_3_1_3_2","first-page":"145","article-title":"Artificial intelligence and human intelligence\u2013Human-computer warfare from the perspective of five levels of cognitive science","volume":"54","author":"Cai S.S.","year":"2016","unstructured":"CaiS.S. and XueX.D., Artificial intelligence and human intelligence\u2013Human-computer warfare from the perspective of five levels of cognitive science, Journal of Peking University: Philosophy and Social Sciences Editio54 (2016), 145\u2013154.","journal-title":"Journal of Peking University: Philosophy and Social Sciences Editio"},{"key":"e_1_3_1_4_2","first-page":"150","article-title":"Comparative analysis of artificial intelligence industry between China and the United States","volume":"12","author":"Shu Y.Q.","year":"2019","unstructured":"ShuY.Q., Comparative analysis of artificial intelligence industry between China and the United States, Financial science12 (2019), 150\u2013154.","journal-title":"Financial science"},{"key":"e_1_3_1_5_2","first-page":"54","article-title":"The mechanism of AI industry influencing economic growth and empirical test","volume":"31","author":"Cai Y.C.","year":"2019","unstructured":"CaiY.C. and YueJ.J., The mechanism of AI industry influencing economic growth and empirical test, Journal of Shandong University of Finance and economics31 (2019), 54\u201363.","journal-title":"Journal of Shandong University of Finance and economics"},{"key":"e_1_3_1_6_2","first-page":"44","article-title":"Capital allocation efficiency evaluation of household appliance enterprises based on DEA model","volume":"8","author":"Wu F.J.","year":"2017","unstructured":"WuF.J. and DaiF., Capital allocation efficiency evaluation of household appliance enterprises based on DEA model, Journal of Finance and accounting8 (2017), 44\u201348.","journal-title":"Journal of Finance and accounting"},{"key":"e_1_3_1_7_2","first-page":"161","article-title":"Evaluation of the Operation Efficiency of Listed Companies in Led Lighting Industry of China based on DEA Model","volume":"24","author":"Yu Y.B.","year":"2016","unstructured":"YuY.B., DuY.C. and GaoY., Evaluation of the Operation Efficiency of Listed Companies in Led Lighting Industry of China based on DEA Model, Light & Engineering24 (2016), 161\u2013165.","journal-title":"Light & Engineering"}],"container-title":["Journal of Intelligent &amp; Fuzzy Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179781","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/full-xml\/10.3233\/JIFS-179781","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/journals.sagepub.com\/doi\/pdf\/10.3233\/JIFS-179781","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2026,4,29]],"date-time":"2026-04-29T09:41:33Z","timestamp":1777455693000},"score":1,"resource":{"primary":{"URL":"https:\/\/journals.sagepub.com\/doi\/10.3233\/JIFS-179781"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2020,5,4]]},"references-count":6,"journal-issue":{"issue":"6","published-print":{"date-parts":[[2020,6,25]]}},"alternative-id":["10.3233\/JIFS-179781"],"URL":"https:\/\/doi.org\/10.3233\/jifs-179781","relation":{},"ISSN":["1064-1246","1875-8967"],"issn-type":[{"value":"1064-1246","type":"print"},{"value":"1875-8967","type":"electronic"}],"subject":[],"published":{"date-parts":[[2020,5,4]]}}}