{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,9]],"date-time":"2024-09-09T18:35:45Z","timestamp":1725906945255},"reference-count":38,"publisher":"Emerald","issue":"3","license":[{"start":{"date-parts":[[2021,9,15]],"date-time":"2021-09-15T00:00:00Z","timestamp":1631664000000},"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":[[2022,6,2]]},"abstract":"Purpose<\/jats:title>The purpose of this paper is to investigate social and technical drivers of data science practices and develop a standard model for assisting organizations in their digital transformation by providing data science capability\/maturity level assessment, deriving a gap analysis, and creating a comprehensive roadmap for improvement in a standardized way.<\/jats:p><\/jats:sec>Design\/methodology\/approach<\/jats:title>This paper systematically reviews and synthesizes the existing literature-related to data science and 183 practitioners' considerations by employing a survey-based research method. By blending the findings of this research with a well-established process capability maturity model standard, International Organization for Standardization\/International Electrotechnical Commission (ISO\/IEC) 330xx, and following a methodological maturity development framework, a theoretically grounded model, entitled as the data science capability maturity model (DSCMM) was developed.<\/jats:p><\/jats:sec>Findings<\/jats:title>It was found that organizations seek a capability\/maturity model standard to evaluate and improve their current data science capabilities. To close this research gap, the DSCMM is developed. It consists of six capability maturity levels and twenty-seven processes categorized under five process areas: organization, strategy management, data analytics, data governance and technology management.<\/jats:p><\/jats:sec>Originality\/value<\/jats:title>This paper validates the need for a process capability maturity model for the data science domain and develops the DSCMM by integrating literature findings and practitioners' considerations into a well-accepted process capability maturity model standard to continuously assess and improve the maturity of data science capabilities of organizations.<\/jats:p><\/jats:sec>","DOI":"10.1108\/oir-10-2020-0469","type":"journal-article","created":{"date-parts":[[2021,9,14]],"date-time":"2021-09-14T06:35:37Z","timestamp":1631601337000},"page":"547-567","source":"Crossref","is-referenced-by-count":21,"title":["The development of the data science capability maturity model: a survey-based research"],"prefix":"10.1108","volume":"46","author":[{"ORCID":"http:\/\/orcid.org\/0000-0002-4812-7989","authenticated-orcid":false,"given":"Mert Onuralp","family":"G\u00f6kalp","sequence":"first","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-4030-2447","authenticated-orcid":false,"given":"Ebru","family":"G\u00f6kalp","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0002-3333-4248","authenticated-orcid":false,"given":"Kerem","family":"Kayabay","sequence":"additional","affiliation":[]},{"ORCID":"http:\/\/orcid.org\/0000-0001-5003-4127","authenticated-orcid":false,"given":"Altan","family":"Ko\u00e7yi\u011fit","sequence":"additional","affiliation":[]},{"given":"P. Erhan","family":"Eren","sequence":"additional","affiliation":[]}],"member":"140","published-online":{"date-parts":[[2021,9,15]]},"reference":[{"issue":"3","key":"key2022060118554254900_ref001","doi-asserted-by":"crossref","first-page":"213","DOI":"10.1007\/s12599-009-0044-5","article-title":"Developing maturity models for IT management","volume":"1","year":"2009","journal-title":"Business and Information Systems Engineering"},{"issue":"3","key":"key2022060118554254900_ref002","doi-asserted-by":"crossref","first-page":"337","DOI":"10.1016\/j.ijinfomgt.2015.01.011","article-title":"A framework for developing a domain specific business intelligence maturity model: application to healthcare","volume":"35","year":"2015","journal-title":"International Journal of Information Management"},{"issue":"6","key":"key2022060118554254900_ref003","doi-asserted-by":"crossref","first-page":"2151","DOI":"10.1002\/qre.2008","article-title":"How can SMEs benefit from big data? Challenges and a path forward","volume":"32","year":"2016","journal-title":"Quality and Reliability Engineering International"},{"issue":"8","key":"key2022060118554254900_ref004","doi-asserted-by":"crossref","first-page":"1468","DOI":"10.1108\/IMDS-12-2015-0495","article-title":"How organisations leverage: big Data: a maturity model","volume":"116","year":"2016","journal-title":"Industrial Management and Data Systems"},{"key":"key2022060118554254900_ref005","first-page":"1","article-title":"Towards a business analytics capability maturity model","year":"2012"},{"key":"key2022060118554254900_ref006","volume-title":"Competing on Analytics: the New Science of Winning","year":"2007"},{"key":"key2022060118554254900_ref007","volume-title":"Hortonworks Big Data Maturity Model","year":"2016"},{"key":"key2022060118554254900_ref008","unstructured":"Economic Graph Team (2017), \u201cLinkedIn's 2017 US emerging jobs report\u201d, available at: https:\/\/economicgraph.linkedin.com\/research\/LinkedIns-2017-US-Emerging-Jobs-Report (accessed 25 December 2018)."},{"key":"key2022060118554254900_ref009","unstructured":"El-Darwiche, B., Koch, V., Meer, D., Tohme, D.W., Deckert, A. and Shehadi, R.T. (2014), \u201cBig data maturity. An action plan for policymakers and executives, the global information technology report 2014: rewards and risks of big data\u201d, available at: https:\/\/www.strategyand.pwc.com\/media\/file\/Strategyand_Big-data-maturity.pdf (accessed 6 May 2019)."},{"key":"key2022060118554254900_ref010","doi-asserted-by":"crossref","first-page":"128","DOI":"10.1007\/978-3-319-67383-7_10","article-title":"Development of an assessment model for industry 4.0: industry 4.0-MM","volume":"770","year":"2017","journal-title":"Communications in Computer and Information Science"},{"key":"key2022060118554254900_ref011","doi-asserted-by":"crossref","first-page":"581","DOI":"10.1016\/j.compeleceng.2018.02.007","article-title":"A visual programming framework for distributed internet of things centric complex event processing","volume":"74","year":"2019","journal-title":"Computers and Electrical Engineering"},{"key":"key2022060118554254900_ref012","doi-asserted-by":"crossref","first-page":"617","DOI":"10.1007\/978-3-030-56441-4_46","article-title":"Towards a model based process assessment for data analytics: an exploratory case study","volume":"1251","year":"2020","journal-title":"Communications in Computer and Information Science"},{"issue":"1","key":"key2022060118554254900_ref013","doi-asserted-by":"crossref","first-page":"45","DOI":"10.1016\/j.ijinfomgt.2017.08.005","article-title":"A framework for evaluating the analytic maturity of an organization","volume":"38","year":"2018","journal-title":"International Journal of Information Management"},{"key":"key2022060118554254900_ref014","volume-title":"An\u00e1lise Multivariada de Dados","year":"2009"},{"key":"key2022060118554254900_ref015","volume-title":"A Guide to Achieving Big Data Analytics Maturity (TDWI Benchmark Guide)","year":"2016"},{"key":"key2022060118554254900_ref016","doi-asserted-by":"crossref","first-page":"101721","DOI":"10.1016\/j.jairtraman.2019.101721","article-title":"Towards a maturity model for big data analytics in airline network planning","volume":"82","year":"2020","journal-title":"Journal of Air Transport Management"},{"issue":"1","key":"key2022060118554254900_ref017","doi-asserted-by":"crossref","first-page":"75","DOI":"10.2307\/25148625","article-title":"Design science in information systems research","volume":"28","year":"2004","journal-title":"MIS Quarterly"},{"key":"key2022060118554254900_ref018","unstructured":"Hornick, M. (2018), \u201cOracle data science maturity model\u201d, available at: https:\/\/blogs.oracle.com\/r\/data-science-maturity-model-summary-table-for-enterprise-assessment-part-12 (accessed 28 November 2018)."},{"issue":"5","key":"key2022060118554254900_ref019","doi-asserted-by":"publisher","first-page":"681","DOI":"10.1108\/OIR-12-2016-0361","article-title":"Measuring the interdisciplinarity of big data research: a longitudinal study","volume":"42","year":"2018","journal-title":"Online Information Review"},{"key":"key2022060118554254900_ref020","unstructured":"ISO\/IEC (2015a), \u201cISO\/IEC 33001:2015 information technology -- process assessment -- concepts and terminology\u201d, available at: https:\/\/www.iso.org\/standard\/54175.html (accessed 12 May 2019)."},{"key":"key2022060118554254900_ref021","unstructured":"ISO\/IEC (2015b), \u201cISO\/IEC 33020:2015 - information technology - process assessment - process measurement framework for assessment of process capability\u201d, available at: https:\/\/www.iso.org\/standard\/54195.html (accessed 10 December 2020)."},{"key":"key2022060118554254900_ref022","unstructured":"ISO\/IEC (2015c), \u201cISO\/IEC 33004: information technology - process assessment - requirements for process reference, process assessment and maturity models\u201d, available at: https:\/\/www.iso.org\/standard\/54178.html (accessed 10 December 2020)."},{"key":"key2022060118554254900_ref023","unstructured":"ISO\/IEC (2015d), \u201cISO\/IEC 33002:2015 information technology \u2014 process assessment \u2014 requirements for performing process assessment\u201d, available at: https:\/\/www.iso.org\/standard\/54176.html (accessed 10 December 2020)."},{"key":"key2022060118554254900_ref024","unstructured":"ISO\/IEC (2015e), \u201cISO\/IEC 33014:2015 information technology \u2014 process assessment \u2014 guide for process improvement\u201d, available at: https:\/\/www.iso.org\/standard\/54186.html (accessed 10 December 2020)."},{"key":"key2022060118554254900_ref025","unstructured":"ISO\/IEC (2015f), \u201cISO\/IEC 33003:2015, information technology \u2014 process assessment \u2014 requirements for process measurement frameworks\u201d, available at: https:\/\/www.iso.org\/standard\/54177.html (accessed 10 December 2020)."},{"issue":"5","key":"key2022060118554254900_ref026","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"},{"issue":"2","key":"key2022060118554254900_ref027","doi-asserted-by":"publisher","DOI":"10.0000\/PMID57750728","article-title":"Big data, analytics and the path from insights to value","volume":"52","year":"2011","journal-title":"MIT Sloan Management Review"},{"issue":"3","key":"key2022060118554254900_ref028","doi-asserted-by":"crossref","first-page":"114","DOI":"10.1016\/j.ijinfomgt.2016.12.003","article-title":"Defining analytics maturity indicators: a survey approach","volume":"37","year":"2017","journal-title":"International Journal of Information Management"},{"issue":"3","key":"key2022060118554254900_ref029","doi-asserted-by":"crossref","first-page":"211","DOI":"10.1080\/10580530.2011.585583","article-title":"Business intelligence maturity: the economic transitional context within Slovenia","volume":"28","year":"2011","journal-title":"Information Systems Management"},{"key":"key2022060118554254900_ref030","volume-title":"Modeling the Global Economic Impact of AI","year":"2018"},{"issue":"10","key":"key2022060118554254900_ref031","first-page":"60","article-title":"Big data: the management revolution","volume":"90","year":"2012","journal-title":"Harvard Business Review"},{"key":"key2022060118554254900_ref032","volume-title":"Data Science for Business: what You Need to Know about Data Mining and Data-Analytic Thinking","year":"2013"},{"key":"key2022060118554254900_ref033","first-page":"4219","article-title":"Using quantitative analyses to construct a capability maturity model for business intelligence","year":"2012"},{"key":"key2022060118554254900_ref034","volume-title":"Leverage a Big Data Maturity Model to Build Your Big Data Roadmap","year":"2014"},{"key":"key2022060118554254900_ref035","volume-title":"CMMI Evaluation: Capability Maturity Model Integration Mapping to ISO\/IEC 15504 2: 1998","year":"2001"},{"issue":"1","key":"key2022060118554254900_ref036","first-page":"24","article-title":"Validation guidelines for IS positivist research","volume":"13","year":"2004","journal-title":"Communications of the Association for Information Systems"},{"key":"key2022060118554254900_ref037","first-page":"61","article-title":"Big data maturity model for Malaysian zakat institutions to embark on big data initiatives","year":"2015"},{"key":"key2022060118554254900_ref038","volume-title":"Case Study Research: Design and Methods (Applied Social Research Methods)","year":"2009"}],"container-title":["Online Information Review"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/OIR-10-2020-0469\/full\/xml","content-type":"application\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/OIR-10-2020-0469\/full\/html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,1]],"date-time":"2022-06-01T18:56:36Z","timestamp":1654109796000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.emerald.com\/insight\/content\/doi\/10.1108\/OIR-10-2020-0469\/full\/html"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2021,9,15]]},"references-count":38,"journal-issue":{"issue":"3","published-online":{"date-parts":[[2021,9,15]]},"published-print":{"date-parts":[[2022,6,2]]}},"alternative-id":["10.1108\/OIR-10-2020-0469"],"URL":"https:\/\/doi.org\/10.1108\/oir-10-2020-0469","relation":{"has-review":[{"id-type":"doi","id":"10.1108\/OIR-10-2020-0469\/v2\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1108\/OIR-10-2020-0469\/v2\/response1","asserted-by":"object"},{"id-type":"doi","id":"10.1108\/OIR-10-2020-0469\/v2\/decision1","asserted-by":"object"},{"id-type":"doi","id":"10.1108\/OIR-10-2020-0469\/v1\/review1","asserted-by":"object"},{"id-type":"doi","id":"10.1108\/OIR-10-2020-0469\/v1\/decision1","asserted-by":"object"}]},"ISSN":["1468-4527"],"issn-type":[{"value":"1468-4527","type":"print"}],"subject":[],"published":{"date-parts":[[2021,9,15]]}}}