Wrona, ThomasThomasWronaReinecke, PaulinePaulineReinecke2020-01-292020-01-292019Proceedings of the 27th European Conference on Information Systems (ECIS) : research-in-progress papers. - AIS Electronic Library (AISeL), 2019.http://hdl.handle.net/11420/4634Recently, information systems (IS) literature has shown an increasing interest in Big Data and Analy-tics (BDA) to gain competitive advantages. The predominant literature focuses on operational effec-tiveness and how companies use historical information and uncover hidden patterns to differentiate from competition. This paper addresses how the prevailing line of reasoning is limited and how stra-tegic risks from companies’ BDA-applications are neglected. Drawing on the theory of path depend-ency and resource-based view, it aims to expand the hitherto strongly IT-capability-oriented view of competitive advantages from BDA, in particular through greater involvement in current strategy re-search and bydisclosing previously underexposed risk dimensions. A qualitative research shall be conducted to explore possible strategic risk dimensions associated with BDA-investments in greater detail. To reconstruct the process of BDA-investments and capability-building of firms in the maritime logistics sector, a qualitative process study seems appropriate to explore constitutive features of path formation and detect early indicators for path dependency.enhttp://rightsstatements.org/vocab/InC/1.0/Big data and Analyticsstrategic riskspath dependency theoryqualitative process studyMLE@TUHHInformatikWirtschaftThe “dark side” of big data analytics : uncovering path dependency risks of big data analytics investmentsConference Paper10.15480/882.2605https://aisel.aisnet.org/ecis2019_rip/8010.15480/882.2605Conference Paper