{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,6]],"date-time":"2025-11-06T12:28:48Z","timestamp":1762432128732,"version":"3.41.2"},"reference-count":79,"publisher":"Emerald","issue":"6","license":[{"start":{"date-parts":[[2022,1,14]],"date-time":"2022-01-14T00:00:00Z","timestamp":1642118400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.emerald.com\/insight\/site-policies"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["OIR"],"published-print":{"date-parts":[[2022,9,26]]},"abstract":"<jats:sec><jats:title content-type=\"abstract-subheading\">Purpose<\/jats:title><jats:p>The present study provides a comprehensive review of the evolution of data analytics using real-world cases. The purpose is to provide a distinct overview of where the phenomenon was derived from, where it currently stands and where it is heading.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Design\/methodology\/approach<\/jats:title><jats:p>Three case studies were selected to represent three different eras of data analytics: Yesterday (1950s\u20131990s), Today (2000s\u20132020s) and Tomorrow (2030s\u20132050s).<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Findings<\/jats:title><jats:p>Rapid changes in information technologies more likely moving us towards a more cyber-physical society, where an increasing number of devices, people and corporations are connected. We can expect the development of a more connected cyber society, open for data exchange than ever before.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Social implications<\/jats:title><jats:p>The analysis of technological trends through the lens of representative real-world cases helps to clarify where data analytics was derived from, where it currently stands and where it is heading towards. The presented case studies accentuate that data analytics is constantly evolving with no signs of stagnation.<\/jats:p><\/jats:sec><jats:sec><jats:title content-type=\"abstract-subheading\">Originality\/value<\/jats:title><jats:p>As the field of data analytics is constantly evolving, the study of its evolution based on particular studies aims to better understand the paradigm shift in data analytics and the resulting technological advances in the IT business through the representative real-life cases.<\/jats:p><\/jats:sec>","DOI":"10.1108\/oir-07-2021-0355","type":"journal-article","created":{"date-parts":[[2022,1,13]],"date-time":"2022-01-13T13:01:13Z","timestamp":1642078873000},"page":"1167-1183","source":"Crossref","is-referenced-by-count":2,"title":["The evolution of data analytics through the lens of business cases"],"prefix":"10.1108","volume":"46","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-5121-2949","authenticated-orcid":false,"given":"Sepanta","family":"Sharafuddin","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-4346-0704","authenticated-orcid":false,"given":"Ivan","family":"Belik","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"140","published-online":{"date-parts":[[2022,1,14]]},"reference":[{"issue":"1","key":"key2022092305284939900_ref001","doi-asserted-by":"publisher","first-page":"48","DOI":"10.5815\/IJIEEB.2016.01.06","article-title":"An efficient architecture and algorithm for resource provisioning in fog computing","volume":"8","year":"2016","journal-title":"International Journal of Information Engineering and Electronic Business"},{"issue":"1","key":"key2022092305284939900_ref002","doi-asserted-by":"crossref","first-page":"1","DOI":"10.5121\/ijwest.2012.3101","article-title":"Evolution of the world wide web: from WEB 1.0 TO WEB 4.0","volume":"3","year":"2012","journal-title":"International Journal of Web and Semantic Technology"},{"key":"key2022092305284939900_ref003","doi-asserted-by":"publisher","first-page":"449","DOI":"10.1109\/WorldS450073.2020.9210375","article-title":"Internet of things market analysis forecasts, 2020\u20132030","volume-title":"2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4)","year":"2020"},{"key":"key2022092305284939900_ref004","unstructured":"Alom, M.Z., Taha, T.M., Yakopcic, C., Westberg, S., Sidike, P., Nasrin, M.S. and Asari, V.K. (2018), \u201cThe history began from alexnet: a comprehensive survey on deep learning approaches\u201d, arXiv preprint arXiv:1803.01164, available at: https:\/\/arxiv.org\/abs\/1803.01164v2."},{"key":"key2022092305284939900_ref005","doi-asserted-by":"publisher","first-page":"3","DOI":"10.1016\/j.jpdc.2014.08.003","article-title":"Big Data computing and clouds: trends and future directions","volume":"79","year":"2015","journal-title":"Journal of Parallel and Distributed Computing"},{"issue":"4","key":"key2022092305284939900_ref006","doi-asserted-by":"publisher","first-page":"284","DOI":"10.1007\/s40534-016-0117-3","article-title":"Autonomous vehicles: challenges, opportunities, and future implications for transportation policies","volume":"24","year":"2016","journal-title":"Journal of Modern Transportation"},{"article-title":"Business analysis for Wal-Mart, a grocery retail chain, and improvement proposals","volume-title":"Doctoral Dissertation","year":"2014","key":"key2022092305284939900_ref007"},{"issue":"21","key":"key2022092305284939900_ref008","doi-asserted-by":"publisher","first-page":"4807","DOI":"10.3390\/s19214807","article-title":"Fog computing enabling industrial internet of things: state-of-the-art and research challenges","volume":"19","year":"2019","journal-title":"Sensors"},{"issue":"1","key":"key2022092305284939900_ref009","doi-asserted-by":"publisher","first-page":"29","DOI":"10.19030\/ijmis.v17i1.7587","article-title":"History of databases","volume":"17","year":"2013","journal-title":"International Journal of Management and Information Systems (IJMIS)"},{"issue":"4","key":"key2022092305284939900_ref010","doi-asserted-by":"publisher","first-page":"23","DOI":"10.1257\/jep.14.4.23","article-title":"Beyond computation: information technology, organizational transformation and business performance","volume":"14","year":"2000","journal-title":"Journal of Economic Perspectives"},{"issue":"2","key":"key2022092305284939900_ref011","doi-asserted-by":"publisher","first-page":"48","DOI":"10.1109\/MCI.2014.2307227","article-title":"Jumping NLP curves: a review of natural language processing research","volume":"9","year":"2014","journal-title":"IEEE Computational Intelligence Magazine"},{"issue":"7602","key":"key2022092305284939900_ref012","doi-asserted-by":"publisher","first-page":"153","DOI":"10.1038\/533153a","article-title":"Low-cost headsets boost virtual reality's lab appeal","volume":"533","year":"2016","journal-title":"Nature News"},{"issue":"2","key":"key2022092305284939900_ref013","doi-asserted-by":"publisher","first-page":"175","DOI":"10.1108\/14684521211229020","article-title":"Web 2.0 applications in government web sites: prevalence, use and correlations with perceived web site quality","volume":"36","year":"2012","journal-title":"Online Information Review"},{"key":"key2022092305284939900_ref014","article-title":"Global equity themes: disruptive forces in Europe: a primer","author":"Credit Suisse","year":"2017","journal-title":"Credit Suisse"},{"first-page":"265","article-title":"Big web data: warehousing and analytics","year":"2017","key":"key2022092305284939900_ref015"},{"journal-title":"Blackwell Publishers","article-title":"Computers in context: the philosophy and practice of systems design","year":"1993","key":"key2022092305284939900_ref016"},{"journal-title":"Harvard Business Review Press","article-title":"Big data at work: dispelling the myths, uncovering the opportunities","year":"2014","key":"key2022092305284939900_ref017"},{"issue":"6","key":"key2022092305284939900_ref018","doi-asserted-by":"publisher","first-page":"92","DOI":"10.1109\/MS.2015.142","article-title":"Looking into the future","volume":"32","year":"2015","journal-title":"IEEE Software"},{"volume-title":"What the Face Reveals: Basic and Applied Studies of Spontaneous Expression Using the Facial Action Coding System (FACS)","year":"1997","key":"key2022092305284939900_ref019","doi-asserted-by":"publisher","DOI":"10.1093\/acprof:oso\/9780195179644.001.0001"},{"key":"key2022092305284939900_ref020","doi-asserted-by":"publisher","first-page":"13","DOI":"10.1016\/j.procir.2016.03.162","article-title":"Tangible Industry 4.0: a scenario-based approach to learning for the future of production","volume":"54","year":"2016","journal-title":"Procedia CiRp"},{"issue":"3","key":"key2022092305284939900_ref021","first-page":"13","article-title":"Forecasting using data warehousing model: Wal-Mart's experience","volume":"20","year":"2001","journal-title":"The Journal of Business Forecasting"},{"key":"key2022092305284939900_ref022","doi-asserted-by":"crossref","unstructured":"Franklin, M.J., Krishnamurthy, S., Conway, N., Li, A., Russakovsky, A. and Thombre, N. (2009), \u201cContinuous analytics: rethinking query processing in a network-effect world\u201d, CIDR, available at: https:\/\/www.semanticscholar.org\/paper\/Continuous-Analytics%3A-Rethinking-Query-Processing-a-Franklin-Krishnamurthy\/00673595bf9ecd1a1feeb4de719b37e01702993d.","DOI":"10.1145\/1827418.1827420"},{"issue":"5","key":"key2022092305284939900_ref023","doi-asserted-by":"publisher","first-page":"5005","DOI":"10.1109\/TVT.2019.2903793","article-title":"Ultra-reliable low-latency communications in autonomous vehicular networks","volume":"68","year":"2019","journal-title":"IEEE Transactions on Vehicular Technology"},{"issue":"ahead-of-print","key":"key2022092305284939900_ref024","doi-asserted-by":"publisher","DOI":"10.1108\/OIR-10-2020-0469","article-title":"The development of the data science capability maturity model: a survey-based research","volume":"ahead-of-print","year":"2021","journal-title":"Online Information Review"},{"issue":"2","key":"key2022092305284939900_ref025","first-page":"1","article-title":"Emotional intelligence has 12 elements. Which do you need to work on","volume":"84","year":"2017","journal-title":"Harvard Business Review"},{"issue":"4","key":"key2022092305284939900_ref026","doi-asserted-by":"publisher","first-page":"1","DOI":"10.1145\/2843948","article-title":"The Netflix recommender system: algorithms, business value, and innovation","volume":"6","year":"2015","journal-title":"ACM Transactions on Management Information Systems (TMIS)"},{"volume-title":"Deep Learning","year":"2016","key":"key2022092305284939900_ref027"},{"journal-title":"IDC Market Analysis","article-title":"Worldwide Big Data and Analytics Software Forecast, 2019\u20132023","year":"2019","key":"key2022092305284939900_ref028"},{"issue":"4","key":"key2022092305284939900_ref029","doi-asserted-by":"publisher","first-page":"5","DOI":"10.1177\/0008125619864925","article-title":"A brief history of artificial intelligence: on the past, present, and future of artificial intelligence","volume":"61","year":"2019","journal-title":"California Management Review"},{"issue":"3","key":"key2022092305284939900_ref030","doi-asserted-by":"publisher","first-page":"203","DOI":"10.1080\/10301763.2018.1519774","article-title":"The impact of technology on employment: a research agenda for New Zealand and beyond","volume":"28","year":"2018","journal-title":"Labour and Industry: A Journal of the Social and Economic Relations of Work"},{"issue":"2","key":"key2022092305284939900_ref031","first-page":"65","article-title":"Emerging trends of information technology and its implication in business organizations","volume":"3","year":"2013","journal-title":"International Journal of Computer Networking"},{"issue":"7","key":"key2022092305284939900_ref032","doi-asserted-by":"publisher","first-page":"921","DOI":"10.1108\/OIR-07-2016-0201","article-title":"Application of social media analytics: a case of analyzing online hotel reviews","volume":"41","year":"2017","journal-title":"Online Information Review"},{"issue":"6245","key":"key2022092305284939900_ref033","doi-asserted-by":"publisher","first-page":"261","DOI":"10.1126\/science.aaa8685","article-title":"Advances in natural language processing","volume":"349","year":"2015","journal-title":"Science"},{"issue":"4","key":"key2022092305284939900_ref034","first-page":"5","article-title":"A glorious and not-so-short history of the information systems field","volume":"13","year":"2012","journal-title":"Journal of the Association for Information Systems"},{"issue":"1","key":"key2022092305284939900_ref035","doi-asserted-by":"publisher","first-page":"52","DOI":"10.1108\/14684521211206962","article-title":"Architectural support for business intelligence: a push-pull mechanism","volume":"36","year":"2012","journal-title":"Online Information Review"},{"key":"key2022092305284939900_ref036","unstructured":"Innosight (2019), \u201c2018 corporate longevity forecast: creative destruction is accelerating\u201d, available at: https:\/\/www.innosight.com\/."},{"issue":"3","key":"key2022092305284939900_ref037","doi-asserted-by":"publisher","first-page":"705","DOI":"10.1108\/OIR-10-2018-0322","article-title":"Perceived information pollution: conceptualization, measurement, and nomological validity","volume":"44","year":"2020","journal-title":"Online Information Review"},{"journal-title":"Springer","article-title":"Netflix and the re-invention of television","year":"2018","key":"key2022092305284939900_ref038"},{"journal-title":"MIT press","article-title":"Fundamentals of machine learning for predictive data analytics: algorithms, worked examples, and case studies","year":"2020","key":"key2022092305284939900_ref039"},{"issue":"4","key":"key2022092305284939900_ref040","doi-asserted-by":"publisher","DOI":"10.1108\/JMH-02-2014-0018","article-title":"A comparative study of the evolution of vulnerabilities in IT systems and its relation to the new concept of cloud computing","volume":"20","year":"2014","journal-title":"Journal of Management History"},{"issue":"5","key":"key2022092305284939900_ref041","doi-asserted-by":"publisher","first-page":"700","DOI":"10.1016\/j.ijinfomgt.2016.04.013","article-title":"A review and future direction of agile, business intelligence, analytics and data science","volume":"36","year":"2016","journal-title":"International Journal of Information Management"},{"journal-title":"Edinburg Gate: Pearson Education","article-title":"Management information systems: managing the digital firm","year":"2010","key":"key2022092305284939900_ref042"},{"issue":"7553","key":"key2022092305284939900_ref043","doi-asserted-by":"crossref","first-page":"436","DOI":"10.1038\/nature14539","article-title":"Deep learning","volume":"521","year":"2015","journal-title":"Nature"},{"issue":"3","key":"key2022092305284939900_ref044","doi-asserted-by":"publisher","first-page":"293","DOI":"10.1016\/j.bushor.2017.01.004","article-title":"Big data: dimensions, evolution, impacts, and challenges","volume":"60","year":"2017","journal-title":"Business Horizons"},{"key":"key2022092305284939900_ref045","doi-asserted-by":"publisher","first-page":"20","DOI":"10.1016\/j.mfglet.2018.09.002","article-title":"Industrial Artificial Intelligence for industry 4.0-based manufacturing systems","volume":"18","year":"2018","journal-title":"Manufacturing Letters"},{"key":"key2022092305284939900_ref046","doi-asserted-by":"publisher","first-page":"227","DOI":"10.1016\/j.jpdc.2017.11.017","article-title":"From P2P to NoSQL: a continuous metric for classifying large-scale storage systems","volume":"113","year":"2018","journal-title":"Journal of Parallel and Distributed Computing"},{"issue":"4","key":"key2022092305284939900_ref047","doi-asserted-by":"publisher","first-page":"1891","DOI":"10.1109\/TII.2017.2650204","article-title":"Next-generation big data analytics: state of the art, challenges, and future research topics","volume":"13","year":"2017","journal-title":"IEEE Transactions on Industrial Informatics"},{"issue":"5","key":"key2022092305284939900_ref048","doi-asserted-by":"publisher","first-page":"381","DOI":"10.1049\/iet-sen.2017.0350","article-title":"Architecting the Web of Things for the fog computing era","volume":"12","year":"2018","journal-title":"IET Software"},{"issue":"1","key":"key2022092305284939900_ref049","first-page":"19","article-title":"A survey on applications of augmented reality","volume":"5","year":"2016","journal-title":"ACSIJ Advances in Computer Science: An International Journal"},{"journal-title":"John Wiley & Sons","article-title":"Big data in practice: how 45 successful companies used big data analytics to deliver extraordinary results","year":"2016","key":"key2022092305284939900_ref050"},{"key":"key2022092305284939900_ref051","article-title":"Really big data at Walmart: real-time insights from their 40+ petabyte data cloud","volume":"23","year":"2017","journal-title":"Forbes.com"},{"key":"key2022092305284939900_ref052","doi-asserted-by":"publisher","first-page":"181","DOI":"10.1016\/j.rcim.2019.02.003","article-title":"Augmented reality in support of Industry 4.0 \u2013 implementation challenges and success factors","volume":"58","year":"2019","journal-title":"Robotics and Computer-Integrated Manufacturing"},{"issue":"4","key":"key2022092305284939900_ref053","doi-asserted-by":"publisher","first-page":"12","DOI":"10.1609\/aimag.v27i4.1904","article-title":"A proposal for the dartmouth summer research project on artificial intelligence, august 31, 1955","volume":"27","year":"2006","journal-title":"AI Magazine"},{"key":"key2022092305284939900_ref054","doi-asserted-by":"publisher","first-page":"881","DOI":"10.1109\/CVPRW.2013.130","article-title":"Affectiva-mit facial expression dataset (am-fed): naturalistic and spontaneous facial expressions collected","year":"2013"},{"key":"key2022092305284939900_ref055","unstructured":"McKinsey and Company (2019), \u201cCatch them if you can: how leaders in data and analytics have pulled ahead\u201d, October 04, available at: https:\/\/www.mckinsey.com\/business-functions\/mckinsey-analytics\/our-insights\/catch-them-if-you-can-how-leaders-in-data-and-analytics-have-pulled-ahead."},{"issue":"10","key":"key2022092305284939900_ref056","doi-asserted-by":"publisher","first-page":"230","DOI":"10.17148\/IJARCCE.2015.41049","article-title":"A study on evolution of data in traditional RDBMS to big data analytics","volume":"4","year":"2015","journal-title":"International Journal of Advanced Research in Computer and Communication Engineering"},{"key":"key2022092305284939900_ref057","unstructured":"Netflix, Inc. (2020), \u201cAnalytics: driving insights from data\u201d, available at: https:\/\/research.netflix.com\/research-area\/analytics."},{"issue":"1","key":"key2022092305284939900_ref058","doi-asserted-by":"publisher","first-page":"29","DOI":"10.1145\/2894216.2894219","article-title":"On the co-evolution of information technology and information systems personnel","volume":"47","year":"2016","journal-title":"ACM SIGMIS Database: The DATABASE for Advances in Information Systems"},{"key":"key2022092305284939900_ref059","doi-asserted-by":"publisher","first-page":"97","DOI":"10.1016\/j.eswa.2019.05.014","article-title":"The internet of things: review and theoretical framework","volume":"133","year":"2019","journal-title":"Expert Systems with Applications"},{"journal-title":"Fortune","article-title":"Here are 50 companies leading the AI revolution","year":"2017","key":"key2022092305284939900_ref060"},{"issue":"4","key":"key2022092305284939900_ref061","doi-asserted-by":"publisher","first-page":"182","DOI":"10.11591\/closer.v1i4.1216","article-title":"Evolution of cloud computing and enabling technologies","volume":"1","year":"2012","journal-title":"International Journal of Cloud Computing and Services Science"},{"issue":"7","key":"key2022092305284939900_ref062","doi-asserted-by":"publisher","first-page":"31","DOI":"10.1109\/2.933501","article-title":"P2P networking: an information sharing alternative","volume":"34","year":"2001","journal-title":"Computer"},{"journal-title":"John Wiley & Sons","article-title":"Managing and using information systems: a strategic approach","year":"2019","key":"key2022092305284939900_ref063"},{"journal-title":"CNN Money","article-title":"Studios are starting to play hardball with Netflix","year":"2011","key":"key2022092305284939900_ref064"},{"issue":"1","key":"key2022092305284939900_ref065","doi-asserted-by":"crossref","first-page":"25","DOI":"10.22381\/JSME5120172","article-title":"Technological unemployment: educating for the fourth industrial revolution","volume":"5","year":"2017","journal-title":"Journal of Self-Governance and Management Economics"},{"journal-title":"MIT press","article-title":"Affective computing","year":"2000","key":"key2022092305284939900_ref066"},{"key":"key2022092305284939900_ref067","first-page":"1","article-title":"Netflix: leveraging Big Data to predict entertainment hits; case study 913-006-1","year":"2013","journal-title":"IBS Center for Management Research"},{"journal-title":"CRC Press","article-title":"Cloud computing: implementation, management, and security","year":"2016","key":"key2022092305284939900_ref068"},{"issue":"1","key":"key2022092305284939900_ref069","doi-asserted-by":"crossref","first-page":"11","DOI":"10.3233\/AIC-130580","article-title":"A tour of machine learning: an AI perspective","volume":"27","year":"2014","journal-title":"AI Communications"},{"journal-title":"Mit Press","article-title":"Streaming, sharing, stealing: big data and the future of entertainment","year":"2016","key":"key2022092305284939900_ref070"},{"journal-title":"MIT press","article-title":"Reinforcement learning: an introduction","year":"2018","key":"key2022092305284939900_ref071"},{"issue":"1","key":"key2022092305284939900_ref072","doi-asserted-by":"publisher","first-page":"131","DOI":"10.1016\/S0160-791X(02)00061-1","article-title":"Web warehousing: web technology meets data warehousing","volume":"25","year":"2003","journal-title":"Technology in Society"},{"key":"key2022092305284939900_ref073","unstructured":"Teradata (2020), \u201cThe Teradata company history\u201d, available at: https:\/\/www.teradata.com\/About-Us\/Our-History."},{"key":"key2022092305284939900_ref074","doi-asserted-by":"publisher","first-page":"45","DOI":"10.1016\/j.autcon.2015.11.001","article-title":"Automated content analysis for construction safety: a natural language processing system to extract precursors and outcomes from unstructured injury reports","volume":"62","year":"2016","journal-title":"Automation in Construction"},{"key":"key2022092305284939900_ref075","unstructured":"Toyota Motor Corporation (2017), \u201cToyota motor corporation 2017 annual report\u201d, available at: https:\/\/www.toyota-global.com\/pages\/contents\/investors\/ir_library\/annual\/pdf\/2017\/annual_report_2017_fie.pdf."},{"issue":"3","key":"key2022092305284939900_ref076","doi-asserted-by":"publisher","first-page":"439","DOI":"10.2307\/2392832","article-title":"Technological discontinuities and organizational environments","volume":"31","year":"1986","journal-title":"Administrative Science Quarterly"},{"issue":"6495","key":"key2022092305284939900_ref077","doi-asserted-by":"publisher","first-page":"1072","DOI":"10.1126\/science.abc3555","article-title":"Where logic meets emotion","volume":"368","year":"2020","journal-title":"Science"},{"issue":"12","key":"key2022092305284939900_ref078","doi-asserted-by":"publisher","first-page":"908","DOI":"10.1038\/nrn2295","article-title":"Intelligent interactions","volume":"8","year":"2007","journal-title":"Nature Reviews Neuroscience"},{"issue":"5","key":"key2022092305284939900_ref079","doi-asserted-by":"publisher","first-page":"1398","DOI":"10.1287\/orsc.1120.0771","article-title":"Organizing for innovation in the digitized world","volume":"23","year":"2012","journal-title":"Organization Science"}],"container-title":["Online Information Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/OIR-07-2021-0355\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/OIR-07-2021-0355\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,7,24]],"date-time":"2025-07-24T22:43:28Z","timestamp":1753397008000},"score":1,"resource":{"primary":{"URL":"http:\/\/www.emerald.com\/oir\/article\/46\/6\/1167-1183\/453793"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,1,14]]},"references-count":79,"journal-issue":{"issue":"6","published-online":{"date-parts":[[2022,1,14]]},"published-print":{"date-parts":[[2022,9,26]]}},"alternative-id":["10.1108\/OIR-07-2021-0355"],"URL":"https:\/\/doi.org\/10.1108\/oir-07-2021-0355","relation":{},"ISSN":["1468-4527"],"issn-type":[{"type":"print","value":"1468-4527"}],"subject":[],"published":{"date-parts":[[2022,1,14]]}}}