{"title":"The impact of big data on decision-making, processes and organizational change: An essay of synthesis","authors":"Jean-Michel Sahut, Emmanuel Fragniere, Rey Dang","doi":"10.1002/cjas.1770","DOIUrl":null,"url":null,"abstract":"<p>This special issue looks at how big data affects business decisions, processes, and organizational change within organizations. The issue starts with a review of the latest research in the field, including key developments and ongoing debates. The literature review shows how Big Data is affecting how organizations work, including ethical issues, internal rules, and using new technology. Next, the issue presents three key papers on how Big Data affects modern organizations. The first paper looks at how Big Data how Big Data is helping to make cities smarter. The third paper looks at how new technologies like artificial intelligence, blockchain, and quantum computing affect financial organizations. Together, these contributions show the need to balance innovation with risk management. They advocate for ethical considerations and policy frameworks as organizations navigate the complexities of the Big Data era. This essay of synthesis, from literature review to focused studies on decision-making, operations, and organizational change, provides a holistic understanding of the role of Big Data in shaping the future of business.</p>","PeriodicalId":47349,"journal":{"name":"Canadian Journal of Administrative Sciences-Revue Canadienne Des Sciences De L Administration","volume":"41 4","pages":"508-515"},"PeriodicalIF":1.2000,"publicationDate":"2024-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Canadian Journal of Administrative Sciences-Revue Canadienne Des Sciences De L Administration","FirstCategoryId":"91","ListUrlMain":"https://onlinelibrary.wiley.com/doi/10.1002/cjas.1770","RegionNum":4,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0
Abstract
This special issue looks at how big data affects business decisions, processes, and organizational change within organizations. The issue starts with a review of the latest research in the field, including key developments and ongoing debates. The literature review shows how Big Data is affecting how organizations work, including ethical issues, internal rules, and using new technology. Next, the issue presents three key papers on how Big Data affects modern organizations. The first paper looks at how Big Data how Big Data is helping to make cities smarter. The third paper looks at how new technologies like artificial intelligence, blockchain, and quantum computing affect financial organizations. Together, these contributions show the need to balance innovation with risk management. They advocate for ethical considerations and policy frameworks as organizations navigate the complexities of the Big Data era. This essay of synthesis, from literature review to focused studies on decision-making, operations, and organizational change, provides a holistic understanding of the role of Big Data in shaping the future of business.
期刊介绍:
The Canadian Journal of Administrative Sciences (CJAS) is a multidisciplinary, peer-reviewed, international quarterly that publishes manuscripts with a strong theoretical foundation. The journal welcomes literature reviews, quantitative and qualitative studies as well as conceptual pieces. CJAS is an ISI-listed journal that publishes papers in all key disciplines of business. CJAS is a particularly suitable home for manuscripts of a crossdisciplinary nature. All papers must state in an explicit and compelling way their unique contribution to advancing theory and/or practice in the administrative sciences.