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Sentiment analysis in decision sciences research: An illustration to IT governance

*Corresponding author for this work
  • Texas Tech University
Scholary Output:
Contribution to journal
Article
Peer-review

Abstract

We propose a viable procedure to mine opinions from a large collection of texts. We demonstrate how this procedure can be applied in business research by constructing IT governance measures. Specifically, we generate a set of IT governance measures using a multi-label classification method and compare against our proposed sentiment analysis procedure. Using 10-K forms to develop our measures of IT governance, we examine the role of IT governance on firm performance. We find evidence of the five dimensions of IT governance (as proposed by the IT Governance Institute), but only one dimension significantly explains firm performance (i.e., strategic alignment) using the multi-label classification method. Using our new procedure to construct IT governance measures, we find significant evidence of four dimensions in explaining firm performance.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 1010-1015 (6 pages)

Journal (Volume, Issue Number)

Decision Support Systems (Volume 54, Issue 2)

Publication milestones

  • Published - 01/2013

Publication status

Published - 01/2013

ISSN

0167-9236

Publication IDs

  • Scopus: 84871720559

Publication metrics

Metrics

Fractional count
1
Fractional count
0.33
Fractional count
2
Fractional count
0.67
Fractional count
1
Fractional count
1
SciVal
FWCI
1.15
SciVal
Author count
3
SciVal
citations
13
SciVal
Paper percentile
71
Scopus
citations

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Citation count
15
Captures
76