Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture

IF 2.4 Q2 INFORMATION SCIENCE & LIBRARY SCIENCE Pacific Asia Journal of the Association for Information Systems Pub Date : 2023-09-01 DOI:10.17705/1pais.15301
Eduard Anton, Thuy Duong, Markus Aptyka, Frank Teuteberg
{"title":"Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture","authors":"Eduard Anton, Thuy Duong, Markus Aptyka, Frank Teuteberg","doi":"10.17705/1pais.15301","DOIUrl":null,"url":null,"abstract":"Abstract Background: The role of a data-driven culture in improving organizational performance is widely recognized, but its conceptual definition lacks uniformity, leading to the existence of various constructs. This paper proposes a guiding framework for a data-driven culture, aiming to foster a unified understanding that aids both researchers and practitioners in the information systems (IS) field. Method: Adopting a qualitative research approach, this study conducts a systematic literature review to discern the breadth and depth of data-driven culture as portrayed in previous works. Alongside this, ten interviews were carried out with professionals well-versed in the application of data-driven strategies. Results: The study uncovers the multifaceted nature of a data-driven culture, highlighting its influence on decision-making practices within organizations. It identifies a range of characteristics relevant to the construct and consolidates these into an integrative framework, thereby developing a conceptual definition for data-driven culture. Conclusion: The paper contributes to the IS field by providing a framework that illuminates the concept of data-driven culture. This new understanding aids researchers in consistently theorizing the same phenomenon, supports the development of refined metrics for assessing data-driven culture, and paves the way for future research in this area. For practitioners, this framework delineates the characteristics of a data-driven culture and their interplay, enabling a more informed approach to cultural change efforts. Moreover, it highlights the importance of acknowledging the wider cultural context, and provides mechanisms to balance the emphasis on tools and values.","PeriodicalId":43480,"journal":{"name":"Pacific Asia Journal of the Association for Information Systems","volume":null,"pages":null},"PeriodicalIF":2.4000,"publicationDate":"2023-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Pacific Asia Journal of the Association for Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.17705/1pais.15301","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"INFORMATION SCIENCE & LIBRARY SCIENCE","Score":null,"Total":0}
引用次数: 0

Abstract

Abstract Background: The role of a data-driven culture in improving organizational performance is widely recognized, but its conceptual definition lacks uniformity, leading to the existence of various constructs. This paper proposes a guiding framework for a data-driven culture, aiming to foster a unified understanding that aids both researchers and practitioners in the information systems (IS) field. Method: Adopting a qualitative research approach, this study conducts a systematic literature review to discern the breadth and depth of data-driven culture as portrayed in previous works. Alongside this, ten interviews were carried out with professionals well-versed in the application of data-driven strategies. Results: The study uncovers the multifaceted nature of a data-driven culture, highlighting its influence on decision-making practices within organizations. It identifies a range of characteristics relevant to the construct and consolidates these into an integrative framework, thereby developing a conceptual definition for data-driven culture. Conclusion: The paper contributes to the IS field by providing a framework that illuminates the concept of data-driven culture. This new understanding aids researchers in consistently theorizing the same phenomenon, supports the development of refined metrics for assessing data-driven culture, and paves the way for future research in this area. For practitioners, this framework delineates the characteristics of a data-driven culture and their interplay, enabling a more informed approach to cultural change efforts. Moreover, it highlights the importance of acknowledging the wider cultural context, and provides mechanisms to balance the emphasis on tools and values.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
超越数字数据和信息技术:概念化数据驱动的文化
背景:数据驱动型文化在提高组织绩效方面的作用已得到广泛认可,但其概念定义缺乏一致性,导致存在各种构式。本文提出了一个数据驱动文化的指导框架,旨在促进对信息系统(IS)领域的研究人员和实践者的统一理解。方法:采用定性研究的方法,本研究进行了系统的文献综述,以识别数据驱动文化在以往作品中所描绘的广度和深度。除此之外,我们还与精通数据驱动策略应用的专业人士进行了10次访谈。结果:该研究揭示了数据驱动文化的多面性,突出了其对组织内决策实践的影响。它确定了与构造相关的一系列特征,并将这些特征合并到一个集成框架中,从而为数据驱动的文化开发了一个概念性定义。结论:本文通过提供一个阐明数据驱动文化概念的框架,对信息系统领域做出了贡献。这种新的理解有助于研究人员始终如一地将同一现象理论化,支持开发用于评估数据驱动型文化的精细指标,并为该领域的未来研究铺平道路。对于实践者来说,这个框架描述了数据驱动文化的特征以及它们之间的相互作用,从而为文化变革工作提供了更明智的方法。此外,它强调了承认更广泛的文化背景的重要性,并提供了平衡工具和价值观的机制。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
CiteScore
4.10
自引率
33.30%
发文量
0
期刊最新文献
The Influence of Campaign Presentation Cues on Crowdfunding Performance – Reviewing the Empirical Reward-Based Crowdfunding Literature Getting Around to It: How Design Science Researchers Set Future Work Agendas Beyond Digital Data and Information Technology: Conceptualizing Data-Driven Culture Digital Nudge Stacking and Backfiring: Understanding Sustainable E-Commerce Purchase Decisions Improvisational and Dynamic Capabilities as Drivers of Business Model Innovation: An Enterprise Architecture Perspective
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1