首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Inductive reasoning: The promise of big data
Institution:1. Department of Radiology, Xuanwu Hospital, Capital Medical University, Beijing, China;2. Beijing Key Lab of Magnetic Resonance Imaging and Brain Informatics, Beijing, China;3. Key Laboratory for Neurodegenerative Diseases, Ministry of Education, China;4. Institute of Artificial Intelligence and Cognitive Engineering, University of Groningen, Groningen, The Netherlands;5. Department of Life Science and Informatics, Maebashi Institute of Technology, Maebashi, Japan
Abstract:Theory is a cornerstone of organizational research. Recently, however, some organizational scientists have argued that there is an overemphasis on theory development in our prominent publication outlets, calling for a rejuvenation of empirically driven research. To bring empirical research back to the forefront, the organizational sciences need a shock to the system: the advent of big data analytics in organizations provides just such a shock. The purpose of the following paper is to advocate for big data analytics as tools that can be used to support inductive research methods in the organizational sciences. We then highlight areas of organizational research and practice in which big data analytics can have an impact, provide readers with a tempered perspective on big data in the organizational sciences, and suggest a number of ways that researchers, reviewers, and editors can prepare themselves for the introduction of big data research in the organizational sciences.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号