Requirements for DataOps to foster Dynamic Capabilities in Organizations - A mixed methods approach

Inan Gür, Frederik Möller, M. Hupperz, Dilara Uzun, B. Otto
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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.
培养组织动态能力的数据运维需求——混合方法方法
数字技术和与之相关的海量数据给企业带来了生存挑战。利用各种各样的数据的可能性迫使组织迅速作出反应。解决组织数据利用问题的一种方法是实现DataOps实践,它可以帮助组织敏捷地建立数据管理结构。本文正是从这里开始,讨论DataOps如何促进动态能力的建设,以帮助企业在这个不断变化的数字环境中敏捷地行动。为了做到这一点,本文报告了一项研究,以得出组织采用基于Leavitt's Diamond模型的DataOps实践的概念需求。我们通过一种混合方法研究设计来完成这项任务,该研究设计结合了现有文献语料库的定量多语音文献综述(MVLR),并通过与该领域专家的半结构化访谈研究来补充这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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