Linking Big Data and Business: Design Parameters of Data-Driven Organizations

Hagen, Janine Adina and Hess, Thomas (2020): Linking Big Data and Business: Design Parameters of Data-Driven Organizations. 26th Americas Conference on Information Systems (AMCIS 2020), Virtuell, 10-14 August 2020. In: AMCIS 2020 Proceedings,

Abstract

Big data analytics is accepted to be an important driver of business value. However, this value does not come without a cost. Becoming a data-driven organization (DDO) necessitates a substantial transformation along the components structure, actors, task, and technology. Moreover, as successfully generating value from big data requires the utilization of data insights in business, attention needs to be assigned to the different actors from the data and business side, and their interrelation and collaboration. By taking a socio-technical systems perspective and utilizing a multi-case research approach, we developed a taxonomy to structure insights about different design parameters of a DDO. Thus, we contribute to the information systems literature by proposing a holistic design framework for DDOs paying tribute to its high collaboration requirements, and offer a compendium for managers with pathways how to design a DDO.

• Item Type: Conference or Workshop Item (Paper)
• Faculties: Munich School of Management > Institute for Digital Management and New Media; Munich School of Management > Institute for Digital Management and New Media > Data-based business concepts
• Subjects: 300 Social sciences > 330 Economics
• Language: English