Investigating the Incorporation of Big Data in Management Information Systems

被引:1
|
作者
Staegemann, Daniel [1 ]
Feuersenger, Hannes [1 ]
Volk, Matthias [1 ]
Liedtke, Patrick [1 ]
Arndt, Hans-Knud [1 ]
Turowski, Klaus [1 ]
机构
[1] Otto Guericke Univ Magdeburg, Univ Pl 2, D-39106 Magdeburg, Germany
来源
BUSINESS INFORMATION SYSTEMS WORKSHOPS, BIS 2021 | 2022年 / 444卷
关键词
Management information system; Big data; Literature review; Decision support system; Knowledge management system; DATA ANALYTICS; SUPPORT; CHALLENGES; OPERATIONS; KNOWLEDGE; SUCCESS;
D O I
10.1007/978-3-031-04216-4_12
中图分类号
F [经济];
学科分类号
02 ;
摘要
In a world that is more and more driven by data, decision makers are provided with a huge amount of information. However, while this appears to be a good development, they also face the challenge of getting through those masses to get to the actually important insights. To ease this task for managers that oversee highly complex situations, management information systems (MIS) provide valuable support. While those systems were usually drawing from internal data sources that were rather structured, for several years the paradigm of big data has been on the rise. This however brings not only new possibilities for gaining insights, but also additional challenges. To help in dealing with those, the publication at hand presents a review of the literature that considers the incorporation of big data in MIS and reflects on current trends as well as challenges for future researchers.
引用
收藏
页码:109 / 120
页数:12
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