Big data capabilities: An organizational information processing perspective
dc.contributor.author | Isik, Öykü | |
dc.date.accessioned | 2017-12-02T14:53:48Z | |
dc.date.available | 2017-12-02T14:53:48Z | |
dc.date.issued | 2015 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12127/5480 | |
dc.description.abstract | Big data is at the pinnacle of its hype cycle, offering big promise. Everyone wants a piece of the pie, yet not many know how to start and get the most out of their big data initiatives. We suggest that realizing benefits with big data depends on having the right capabilities for the right problems. When there is a discrepancy between these, organizations struggle to make sense of their data. Based on information processing theory, in this research-in-progress we suggest that there needs to be a fit between big data processing requirements and big data processing capabilities, so that organizations can realize value from their big data initiative. | |
dc.language.iso | en | |
dc.subject | Big Data | |
dc.subject | ICT Management | |
dc.subject | Business Process Management | |
dc.title | Big data capabilities: An organizational information processing perspective | |
vlerick.conferencedate | 12/12/2015-13/12/2015 | |
vlerick.conferencelocation | Fort Worth, United States | |
vlerick.conferencename | 4th Pre-ICIS Business Analytics Congress | |
vlerick.knowledgedomain | Digital Transformation | |
vlerick.typeconfpres | Conference Presentation | |
vlerick.vlerickdepartment | TOM | |
dc.identifier.vperid | 133416 | |
dc.identifier.vpubid | 6758 |