{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,4,17]],"date-time":"2026-04-17T23:44:16Z","timestamp":1776469456841,"version":"3.51.2"},"reference-count":56,"publisher":"Emerald","issue":"2","license":[{"start":{"date-parts":[[2019,12,20]],"date-time":"2019-12-20T00:00:00Z","timestamp":1576800000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["LHT"],"published-print":{"date-parts":[[2019,12,20]]},"abstract":"<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title>\n<jats:p>In recent years, the rapid growth of big data has presented immense potential for business applications as well as raised great interest from academia. In response to this emerging phenomenon, the purpose of this paper is to provide a comprehensive literature review of big data.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title>\n<jats:p>A bibliometric method was used to analyze the articles obtained from the Scopus database published between 2013 and 2018. A sample size of 4,070 articles was evaluated using SciVal metrics.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Findings<\/jats:title>\n<jats:p>The analysis revealed an array of interesting findings as follows: the number of publications related to big data increased steadily over the past six years, though the rate of increase has slowed since 2014; the scope of big data research is quite broad in regards to both research domains and countries; despite a large volume of publications, the overall performance of big data research is not well presented as measured by the field-weighted citation impact metric; collaboration between different institutions, particularly in the form of international collaboration and academic\u2013corporate collaboration, has played an important role in improving the performance of big data research.<\/jats:p>\n<\/jats:sec>\n<jats:sec>\n<jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title>\n<jats:p>To the best of the authors\u2019 knowledge, this is the first study to provide a holistic view of the big data research. The insights obtained from the analysis are instrumental for both academics and practitioners.<\/jats:p>\n<\/jats:sec>","DOI":"10.1108\/lht-01-2019-0024","type":"journal-article","created":{"date-parts":[[2020,1,3]],"date-time":"2020-01-03T07:35:25Z","timestamp":1578036925000},"page":"367-384","source":"Crossref","is-referenced-by-count":41,"title":["The research landscape of big data: a bibliometric analysis"],"prefix":"10.1108","volume":"38","author":[{"given":"Xiaohong","family":"Liu","sequence":"first","affiliation":[]},{"given":"Ruiqing","family":"Sun","sequence":"additional","affiliation":[]},{"given":"Shiyun","family":"Wang","sequence":"additional","affiliation":[]},{"ORCID":"https:\/\/orcid.org\/0000-0001-5479-2873","authenticated-orcid":false,"given":"Yenchun Jim","family":"Wu","sequence":"additional","affiliation":[]}],"member":"140","reference":[{"issue":"11","key":"key2020061114432398400_ref045","first-page":"528","article-title":"Big data applications in operations\/supply-chain management: a literature review","volume":"101","year":"2016","journal-title":"Computers & Industrial Engineering"},{"issue":"12","key":"key2020061114432398400_ref046","first-page":"459","article-title":"The role of big data analytics in Internet of Things","volume":"129","year":"2017","journal-title":"Computer Networks"},{"key":"key2020061114432398400_ref047","doi-asserted-by":"crossref","first-page":"1011","DOI":"10.1109\/ACCESS.2015.2450498","article-title":"High-performance extreme learning machines: a complete toolbox for big data applications","volume":"3","year":"2015","journal-title":"IEEE Access"},{"key":"key2020061114432398400_ref001","doi-asserted-by":"crossref","first-page":"13","DOI":"10.1016\/j.seps.2017.05.003","article-title":"The impact of research collaboration on academic performance: an empirical analysis for some European countries","volume":"62","year":"2018","journal-title":"Socio-Economic Planning Sciences"},{"key":"key2020061114432398400_ref048","doi-asserted-by":"crossref","first-page":"3","DOI":"10.1016\/j.jpdc.2014.08.003","article-title":"Big data computing and clouds: trends and future directions","volume":"79-80","year":"2015","journal-title":"Journal of Parallel and Distributed Computing"},{"issue":"6","key":"key2020061114432398400_ref002","doi-asserted-by":"crossref","first-page":"1323","DOI":"10.5465\/amj.2007.28165912","article-title":"Academic-practitioner collaboration need not require joint or relevant research: toward a relational scholarship of integration","volume":"50","year":"2007","journal-title":"Academy of Management Journal"},{"key":"key2020061114432398400_ref003","volume-title":"Bibliometrics and Citation Analysis: from the Science Citation Index to Cybermetrics","year":"2009"},{"key":"key2020061114432398400_ref004","first-page":"68","article-title":"Impact assessment based sectoral balancing in public R&D project portfolio selection","volume":"66","year":"2018","journal-title":"Socio-Economic Planning Sciences"},{"issue":"6","key":"key2020061114432398400_ref049","doi-asserted-by":"crossref","first-page":"74","DOI":"10.1109\/MSP.2013.138","article-title":"Big data analytics for security","volume":"11","year":"2013","journal-title":"IEEE Security & Privacy"},{"issue":"5","key":"key2020061114432398400_ref050","doi-asserted-by":"crossref","first-page":"32","DOI":"10.1109\/MSP.2014.2329397","article-title":"Convex optimization for big data: scalable, randomized, and parallel algorithms for big data analytics","volume":"31","year":"2014","journal-title":"IEEE Signal Processing Magazine"},{"issue":"2","key":"key2020061114432398400_ref005","doi-asserted-by":"crossref","first-page":"12","DOI":"10.1108\/LHTN-09-2015-0066","article-title":"Scopus reflected study of selected research and higher education institutions (HEIs) of Chandigarh: a city of education and research","volume":"33","year":"2016","journal-title":"Library Hi Tech News"},{"issue":"3","key":"key2020061114432398400_ref006","doi-asserted-by":"crossref","first-page":"426","DOI":"10.1108\/LHT-08-2017-0172","article-title":"Hakka genealogical migration analysis enhancement using big data on library services","volume":"36","year":"2018","journal-title":"Library Hi Tech"},{"issue":"3","key":"key2020061114432398400_ref007","doi-asserted-by":"crossref","first-page":"566","DOI":"10.1108\/00251741311309661","article-title":"A sustainable collaborative research dialogue between practitioners and academics","volume":"51","year":"2013","journal-title":"Management Decision"},{"key":"key2020061114432398400_ref301","unstructured":"Colledge, L. 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