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
相关论文
共 50 条
  • [41] Handling Big Data in Relational Database Management Systems
    ElDahshan, Kamal
    Selim, Eman
    Ebada, Ahmed Ismail
    Abouhawwash, Mohamed
    Nam, Yunyoung
    Behery, Gamal
    CMC-COMPUTERS MATERIALS & CONTINUA, 2022, 72 (03): : 5149 - 5164
  • [42] Application of Information Systems Aimed at Big Data Use in the Sphere of State Finance Management: Concept Scheme
    Kolomytseva, Anna
    Medvedeva, Marina
    Lutfullaeva, Malika
    Kolomiets, Vitaly
    INTERNATIONAL CONFERENCE OF COMPUTATIONAL METHODS IN SCIENCES AND ENGINEERING 2018 (ICCMSE-2018), 2018, 2040
  • [43] How does DICOM support big data management? Investigating its use in medical imaging community
    Aiello, Marco
    Esposito, Giuseppina
    Pagliari, Giulio
    Borrelli, Pasquale
    Brancato, Valentina
    Salvatore, Marco
    INSIGHTS INTO IMAGING, 2021, 12 (01)
  • [44] How does DICOM support big data management? Investigating its use in medical imaging community
    Marco Aiello
    Giuseppina Esposito
    Giulio Pagliari
    Pasquale Borrelli
    Valentina Brancato
    Marco Salvatore
    Insights into Imaging, 12
  • [45] Big data, little wisdom: trouble brewing? Ethical implications for the information systems discipline
    Pauleen, David J.
    Rooney, David
    Intezari, Ali
    SOCIAL EPISTEMOLOGY, 2017, 31 (04) : 400 - 416
  • [46] Big data innovations in enterprise information systems: strategies formation for new generation entrepreneurs
    Gupta, Brij B.
    Gaurav, Akshat
    Arya, Varsha
    Panigrahi, Prabin Kumar
    ENTERPRISE INFORMATION SYSTEMS, 2025, 19 (1-2)
  • [47] Emergence of Big Data Research in Operations Management, Information Systems, and Healthcare: Past Contributions and Future Roadmap
    Guha, Samayita
    Kumar, Subodha
    PRODUCTION AND OPERATIONS MANAGEMENT, 2018, 27 (09) : 1724 - 1735
  • [48] Impact of Big Data Analytics on Digital Marketing: Academic Review
    Islam, Md Aminul
    JOURNAL OF ELECTRICAL SYSTEMS, 2024, 20 (05) : 786 - 820
  • [49] The Linear Estimation Problem and Information in Big-Data Systems
    P. V. Golubtsov
    Automatic Documentation and Mathematical Linguistics, 2018, 52 (2) : 73 - 79
  • [50] Architecture and security tools in distributed information systems with Big Data
    Pavlikov, Rinat
    Beisembekova, Roza
    2016 IEEE 10TH INTERNATIONAL CONFERENCE ON APPLICATION OF INFORMATION AND COMMUNICATION TECHNOLOGIES (AICT), 2016, : 52 - 57