大数据
互连性
价值(数学)
利益相关者
软件可移植性
实现(概率)
数据科学
订单(交换)
知识管理
计算机科学
业务
公共关系
政治学
数据挖掘
统计
数学
财务
机器学习
人工智能
程序设计语言
作者
Wendy Günther,Mohammad Hosein Rezazade Mehrizi,Marleen Huysman,Frans Feldberg
标识
DOI:10.1016/j.jsis.2017.07.003
摘要
Big data has been considered to be a breakthrough technological development over recent years. Notwithstanding, we have as yet limited understanding of how organizations translate its potential into actual social and economic value. We conduct an in-depth systematic review of IS literature on the topic and identify six debates central to how organizations realize value from big data, at different levels of analysis. Based on this review, we identify two socio-technical features of big data that influence value realization: portability and interconnectivity. We argue that, in practice, organizations need to continuously realign work practices, organizational models, and stakeholder interests in order to reap the benefits from big data. We synthesize the findings by means of an integrated model.
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