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Master Data Quality in the Era of Digitization - Toward Inter-organizational Master Data Quality in Value Networks: A Problem Identification

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Innovations in Enterprise Information Systems Management and Engineering (ERP Future 2016)

Part of the book series: Lecture Notes in Business Information Processing ((LNBIP,volume 285))

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Abstract

Increased digitalization in business and society has prompted drastic changes in companies, and at present, nearly all enterprises face enormous external and internal challenges to staying competitive. One such challenge concerns data quality in various enterprise systems, within both enterprises and entire value networks. Since data will continue to be the foundation of the digital economy, a certain level of data quality is necessary to ensure efficient business processes. Therefore, adequate master data quality management is essential at both the corporate and inter-organizational levels. In response, in light of a systematic literature review and interview study with several business experts experienced in and responsible for master data management in their companies, we not only underscore the need for research on inter-organizational master data quality, but also ultimately derive initial functional requirements for tools that can support inter-organizational information sharing in a value network.

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Correspondence to Christian Leyh .

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Schäffer, T., Leyh, C. (2017). Master Data Quality in the Era of Digitization - Toward Inter-organizational Master Data Quality in Value Networks: A Problem Identification. In: Piazolo, F., Geist, V., Brehm, L., Schmidt, R. (eds) Innovations in Enterprise Information Systems Management and Engineering. ERP Future 2016. Lecture Notes in Business Information Processing, vol 285. Springer, Cham. https://doi.org/10.1007/978-3-319-58801-8_9

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  • DOI: https://doi.org/10.1007/978-3-319-58801-8_9

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