Using Text Analytics to Derive Customer Service Management Benefits from Unstructured Data
- Oliver Müller,
- Iris Junglas,
- Stefan Debortoli,
- Jan vom Brocke
- Florida State University,
- University of Liechtenstein
Research Output:
Journal Article or Conference Article in Journal
Journal article
Research
Peer-reviewOpen access
Abstract
Deriving value from structured data is now commonplace. The value of unstructured textual data, however, remains mostly untapped and often unrecognized. This article describes the text analytics journeys of three organizations in the customer service management area. Based on their experiences, we provide four lessons that can guide other organizations as they embark on their text analytics journeys.
Publication Information
Output type
Research Output:
Journal Article or Conference Article in Journal
Journal article
Research
Peer-reviewOriginal language
EnglishJournal (Volume, Issue Number)
M I S Quarterly Executive (Volume 15, Issue 4)Publication milestones
- Published - 31/12/2016
Publication status
Published - 31/12/2016
ISSN
1540-1960Publication IDs
- Scopus: 85011879284
Publication metrics
PlumX
Captures
133
Citation count
55
Access to documents
Final published version, 1.64 MB
Final published version
