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How big data analytics enables service innovation : materiality, affordance, and the individualization of service

Lehrer, Christiane; Wieneke, Alexander; Vom Brocke, Jan; … - In: Journal of management information systems : JMIS 35 (2018) 2, pp. 424-460

Persistent link: https://www.econbiz.de/10011885755

Actualizing big data analytics affordances : A revelatory case study

Dremel, Christian; Herterich, Matthias M.; Wulf, Jochen; … - In: Information & management : the internat. journal of … 57 (2020) 1, pp. 1-16

Persistent link: https://www.econbiz.de/10012159792

Seven paradoxes of business process management in a hyper-connected world

Beverungen, Daniel; Buijs, Joos C. A. M.; Becker, Jörg; … - In: Business & information systems engineering 63 (2021) 2, pp. 145-156

Persistent link: https://www.econbiz.de/10012486329

Data mining for small shops : empowering brick-and-mortar stores through BI functionalities of a loyalty program1

Kamm, Michael Reiner; Kucklick, Jan-Peter; Schneider, … - In: Information systems management 38 (2021) 4, pp. 270-286

Persistent link: https://www.econbiz.de/10012650486

A five-level framework for research on process mining

Vom Brocke, Jan; Jans, Mieke; Mendling, Jan; Reijers, … - In: Business & information systems engineering 63 (2021) 5, pp. 483-490

Persistent link: https://www.econbiz.de/10012650876

Creating business value with process mining

Badakhshan, Peyman; Wurm, Bastian; Grisold, Thomas; … - In: The journal of strategic information systems : … 31 (2022) 4, pp. 1-19

Persistent link: https://www.econbiz.de/10014282568

Reuse, reduce, support : design principles for green data mining

Schneider, Johannes; Seidel, Stefan; Basalla, Marcus; … - In: Business & information systems engineering 65 (2023) 1, pp. 65-83

Persistent link: https://www.econbiz.de/10014228194

Stepwise evolution of capabilities for harnessing digital data streams in data-driven industrial services

Heterich, Matthias M.; Uebernickel, Falk; Brenner, Walter - In: MIS quarterly executive 15 (2016) 4, pp. 299-320

Persistent link: https://www.econbiz.de/10011591798

Understanding the organizational implications of Big Data Analytics in the automotive industry

Dremel, Christian - 2019

Aufgrund des strategischen Potenzials und des geschäftlichen Nutzens von Big Data richten Unternehmen vermehrt ihre Aufmerksamkeit auf Big Data Analytics. Der Wert von Big Data Analytics, zum Beispiel zum Erfassen von Kundenwünschen und zum Liefern von maßgeschneiderten Diensten, scheint...

Persistent link: https://www.econbiz.de/10012170657