{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,7]],"date-time":"2026-01-07T08:00:23Z","timestamp":1767772823430,"version":"build-2238731810"},"reference-count":31,"publisher":"Emerald","issue":"6","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2021,10,12]]},"abstract":"\n Purpose<\/jats:title>\n The customer enables online reviews, discusses product features and enhances the user's experiences in online activities. Users generated product innovation and product reviews effect as market competition. This research study explains deep learning, online reviews and product innovation empirical evidence used by mobile apps.<\/jats:p>\n <\/jats:sec>\n \n Design\/methodology\/approach<\/jats:title>\n Online reviews and product innovation are very important for every organization and firms to achieve a competitive advantage in a large business environment. When the authors see past traditional history, customers are not involved in product creating and innovating processes. Due to new technology changes, online systems and web 2.0 increase this ability.<\/jats:p>\n <\/jats:sec>\n \n Findings<\/jats:title>\n For this research purpose, the authors use different analytical software to measure the impact among variables. This study is established on primary data; this study collected data from online customers and its users. For data collection, the authors use some questionnaires, and these questions are filled from 200 respondents.<\/jats:p>\n <\/jats:sec>\n \n Research limitations\/implications<\/jats:title>\n This research study used data from the Google app store \u2013 Google product selling application \u2013 and gathered customers' online reviews. Research found that customers' online reviews and deep learning positively and significantly influence product innovation through networking technology. This research-based online mobile application and its research reviews found that organizations convert their own business online and effectively and efficiently enhance creditability.<\/jats:p>\n <\/jats:sec>\n \n Originality\/value<\/jats:title>\n This research study used data from the Google app store Google product selling application and gathered customers' online reviews. Research founded that customers' online reviews and deep learning are positively and significantly influence product innovation through networking technology. This research-based online mobile application and its research reviews found that organizations convert their own business online and effectively and efficiently enhance creditability.<\/jats:p>\n <\/jats:sec>","DOI":"10.1108\/bpmj-12-2020-0542","type":"journal-article","created":{"date-parts":[[2021,4,1]],"date-time":"2021-04-01T11:39:44Z","timestamp":1617277184000},"page":"1912-1925","source":"Crossref","is-referenced-by-count":8,"title":["RETRACTED: Impact of online customer reviews and deep learning on product innovation empirical study on mobile applications"],"prefix":"10.1108","volume":"27","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-3025-6560","authenticated-orcid":false,"given":"Huiliang","family":"Zhao","sequence":"first","affiliation":[{"name":"Guizhou Minzu University Department of Product Design, , Guiyang,","place":["China"]},{"name":"Guizhou University School of Mechanical Engineering, , Guiyang,","place":["China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3989-0154","authenticated-orcid":false,"given":"Qin","family":"Yang","sequence":"additional","affiliation":[{"name":"Guizhou University School of Mechanical Engineering, , Guiyang,","place":["China"]}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-4211-0238","authenticated-orcid":false,"given":"Zhenghong","family":"Liu","sequence":"additional","affiliation":[{"name":"Guiyang University School of Mechanical Engineering, , Guiyang,","place":["China"]}]}],"member":"140","published-online":{"date-parts":[[2021,4,2]]},"reference":[{"issue":"4","key":"2025091112275671400_ref001","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1080\/10496491.2014.930282","article-title":"Social network reputation management: an international study","volume":"20","author":"Becker","year":"2014","journal-title":"Journal of Promotion Management"},{"issue":"12","key":"2025091112275671400_ref002","doi-asserted-by":"crossref","first-page":"1690","DOI":"10.1287\/mnsc.1040.0309","article-title":"Simulation of the new product development process for performance improvement","volume":"50","author":"Bhuiyan","year":"2004","journal-title":"Management Science"},{"issue":"3","key":"2025091112275671400_ref003","doi-asserted-by":"crossref","first-page":"31","DOI":"10.1002\/dir.1014","article-title":"Internet forums as influential sources of consumer information","volume":"15","author":"Bickart","year":"2001","journal-title":"Journal of Interactive Marketing"},{"key":"2025091112275671400_ref004","doi-asserted-by":"crossref","DOI":"10.1145\/1518701.1518923","article-title":"Critical methods and user-generated content: the iPhone on YouTube","author":"Blythe","year":"2009"},{"issue":"3-4","key":"2025091112275671400_ref005","doi-asserted-by":"crossref","first-page":"230","DOI":"10.1080\/02672570903566268","article-title":"Why do people read reviews posted on consumer-opinion portals?","volume":"26","author":"Burtona","year":"2010","journal-title":"Journal of Marketing Management"},{"key":"2025091112275671400_ref006","doi-asserted-by":"crossref","first-page":"85","DOI":"10.4018\/978-1-4666-3622-4.ch005","volume-title":"M. 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