Detailed Information on Publication Record
2018
The Social Media Perception and Reality -Possible Data Quality Deficiencies between Social Media and ERP
POPESCU, Mirona, Mouzhi GE and Markus HELFERTBasic information
Original name
The Social Media Perception and Reality -Possible Data Quality Deficiencies between Social Media and ERP
Name in Czech
The Social Media Perception and Reality -Possible Data Quality Deficiencies between Social Media and ERP
Authors
POPESCU, Mirona (642 Romania), Mouzhi GE (156 China, guarantor, belonging to the institution) and Markus HELFERT
Edition
Madeira, Portugal, Proceedings of the 20th International Conference on Enterprise Information Systems, p. 198-204, 7 pp. 2018
Publisher
SCITEPRESS
Other information
Language
English
Type of outcome
Stať ve sborníku
Field of Study
10201 Computer sciences, information science, bioinformatics
Confidentiality degree
není předmětem státního či obchodního tajemství
Publication form
printed version "print"
RIV identification code
RIV/00216224:14330/18:00102283
Organization unit
Faculty of Informatics
ISBN
978-989-758-298-1
Keywords in English
Business Intelligence Solutions; Data Quality; ERP; Social Media
Tags
Tags
International impact, Reviewed
Změněno: 30/4/2019 15:30, RNDr. Pavel Šmerk, Ph.D.
Abstract
V originále
With the increase of digitalisation, data in social media are often seen as more updated and realistic than the information system representations. Due to the fast changes in the real world and the increasing Big Social media data, there is usually certain misalignment between the social media and information system in the enterprise such as ERP, therefore there can be data deficiencies or data quality problems in the information systems, which is caused by the differences between the external social media and internal information system. In this paper, underpinned by the work of ontological data quality from Wang and Wand 1996, we investigate a set of data quality problems between two representations - Social Media and ERP. We further discuss how ERP system can be improved from the data quality perspective.