Jörg Raab , Yuting Pang , Joan Baaijens , Honggeng Zhou
{"title":"Big Data in organizations: Exploring the adoption of Big Data applications and their impact on organizations in China and the Netherlands","authors":"Jörg Raab , Yuting Pang , Joan Baaijens , Honggeng Zhou","doi":"10.1016/j.bdr.2024.100454","DOIUrl":null,"url":null,"abstract":"<div><p>Digital technology has rapidly been transforming how organizations operate. However, the literature in management studies has only just started to problematize the fundamental inter-relation of digital technology and organizing and we lack sound data about the actual breadth and depth of these changes. This study therefore explores the state of the implementation of Big Data applications in a wide range of organizations in China and the Netherlands and the impact on organizational structures and processes. Our findings show that most organizations are still in an experimental phase at best. We can therefore observe an evolutionary model of technology adoption</p></div>","PeriodicalId":56017,"journal":{"name":"Big Data Research","volume":"36 ","pages":"Article 100454"},"PeriodicalIF":3.5000,"publicationDate":"2024-04-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Big Data Research","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2214579624000303","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE","Score":null,"Total":0}
引用次数: 0
Abstract
Digital technology has rapidly been transforming how organizations operate. However, the literature in management studies has only just started to problematize the fundamental inter-relation of digital technology and organizing and we lack sound data about the actual breadth and depth of these changes. This study therefore explores the state of the implementation of Big Data applications in a wide range of organizations in China and the Netherlands and the impact on organizational structures and processes. Our findings show that most organizations are still in an experimental phase at best. We can therefore observe an evolutionary model of technology adoption
期刊介绍:
The journal aims to promote and communicate advances in big data research by providing a fast and high quality forum for researchers, practitioners and policy makers from the very many different communities working on, and with, this topic.
The journal will accept papers on foundational aspects in dealing with big data, as well as papers on specific Platforms and Technologies used to deal with big data. To promote Data Science and interdisciplinary collaboration between fields, and to showcase the benefits of data driven research, papers demonstrating applications of big data in domains as diverse as Geoscience, Social Web, Finance, e-Commerce, Health Care, Environment and Climate, Physics and Astronomy, Chemistry, life sciences and drug discovery, digital libraries and scientific publications, security and government will also be considered. Occasionally the journal may publish whitepapers on policies, standards and best practices.