EconPapers    
Economics at your fingertips  
 

Business Intelligence 2.0

Sebastian Behrendt () and Alexander Richter ()
Additional contact information
Sebastian Behrendt: Bundeswehr University
Alexander Richter: University of Zurich

A chapter in Business Intelligence for New-Generation Managers, 2015, pp 97-111 from Springer

Abstract: Abstract The increasing use of enterprise social networks (ESN) generates vast amounts of data, giving researchers and managerial decision makers unprecedented opportunities for analysis. However, more transparency about the available data dimensions and how these can be combined is needed to yield accurate insights into the multi-facetted phenomenon of ESN use. In order to address this issue, we present a framework of available data dimensions and describe possible methods and insights as well as opportunities and limitations of each data dimension. We then adopt this framework exemplary to comprehensively analyze an empirical ESN case.

Keywords: Enterprise social networks; Social software; Social network analysis; Data dimensions; Mixed methods; Case study (search for similar items in EconPapers)
Date: 2015
References: Add references at CitEc
Citations:

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:sprchp:978-3-319-15696-5_8

Ordering information: This item can be ordered from
http://www.springer.com/9783319156965

DOI: 10.1007/978-3-319-15696-5_8

Access Statistics for this chapter

More chapters in Springer Books from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().

 
Page updated 2025-04-02
Handle: RePEc:spr:sprchp:978-3-319-15696-5_8