Inan Gür, Frederik Möller, M. Hupperz, Dilara Uzun, B. Otto
{"title":"Requirements for DataOps to foster Dynamic Capabilities in Organizations - A mixed methods approach","authors":"Inan Gür, Frederik Möller, M. Hupperz, Dilara Uzun, B. Otto","doi":"10.1109/CBI54897.2022.00025","DOIUrl":null,"url":null,"abstract":"Digital technologies and the associated availability of ever-greater volumes of data present companies with existential challenges. The possibilities of utilizing a wide variety of data force organizations to react quickly. One way to tackle issues of organizational data utilization is implementing DataOps practices, which assist organizations in setting up the data management structure agilely. The paper starts precisely here, discussing how DataOps can foster the building of dynamic capabilities suitable to help companies act agilely in this ever-changing digital environment. To do this, the paper reports on a study to derive conceptual requirements for organizations to adopt DataOps practices based on Leavitt's Diamond Model. We approach this task through a mixed-method study design combining a quantitative multi-vocal literature review (MVLR) of the existing literature corpus and complementing these findings through a semi-structured interview study with experts from the domain.","PeriodicalId":447040,"journal":{"name":"2022 IEEE 24th Conference on Business Informatics (CBI)","volume":"54 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-06-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE 24th Conference on Business Informatics (CBI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CBI54897.2022.00025","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
Digital technologies and the associated availability of ever-greater volumes of data present companies with existential challenges. The possibilities of utilizing a wide variety of data force organizations to react quickly. One way to tackle issues of organizational data utilization is implementing DataOps practices, which assist organizations in setting up the data management structure agilely. The paper starts precisely here, discussing how DataOps can foster the building of dynamic capabilities suitable to help companies act agilely in this ever-changing digital environment. To do this, the paper reports on a study to derive conceptual requirements for organizations to adopt DataOps practices based on Leavitt's Diamond Model. We approach this task through a mixed-method study design combining a quantitative multi-vocal literature review (MVLR) of the existing literature corpus and complementing these findings through a semi-structured interview study with experts from the domain.