Using text analytics to derive customer service management benefits from unstructured data

O. Müller, S. Debortoli, I. Junglas, J. vom Brocke, MIS Quarterly Executive (2016) 243--258.

Download
No fulltext has been uploaded.
Journal Article | English
Author
; ; ;
Publishing Year
Journal Title
MIS Quarterly Executive
Issue
4
Page
243--258
ISSN
LibreCat-ID

Cite this

Müller O, Debortoli S, Junglas I, vom Brocke J. Using text analytics to derive customer service management benefits from unstructured data. MIS Quarterly Executive. 2016;(4):243--258.
Müller, O., Debortoli, S., Junglas, I., & vom Brocke, J. (2016). Using text analytics to derive customer service management benefits from unstructured data. MIS Quarterly Executive, (4), 243--258.
@article{Müller_Debortoli_Junglas_vom Brocke_2016, title={Using text analytics to derive customer service management benefits from unstructured data}, number={4}, journal={MIS Quarterly Executive}, author={Müller, Oliver and Debortoli, S. and Junglas, I. and vom Brocke, J.}, year={2016}, pages={243--258} }
Müller, Oliver, S. Debortoli, I. Junglas, and J. vom Brocke. “Using Text Analytics to Derive Customer Service Management Benefits from Unstructured Data.” MIS Quarterly Executive, no. 4 (2016): 243--258.
O. Müller, S. Debortoli, I. Junglas, and J. vom Brocke, “Using text analytics to derive customer service management benefits from unstructured data,” MIS Quarterly Executive, no. 4, pp. 243--258, 2016.
Müller, Oliver, et al. “Using Text Analytics to Derive Customer Service Management Benefits from Unstructured Data.” MIS Quarterly Executive, no. 4, 2016, pp. 243--258.

Export

Marked Publications

Open Data LibreCat

Search this title in

Google Scholar