Managing the enterprise business intelligence app store: Sentiment analysis supported requirements engineering

Kenneth Goul, Olivera Marjanovic, Susan Baxley, Karen Vizecky

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Scopus citations

Abstract

This paper posits that an app store delivery model for enterprise business intelligence is inevitable due to compelling business and technology drivers. A model of how employees will adopt BI apps is advanced based on theoretical foundations and recent thinking regarding how IT artifacts are becoming perceived of as "social actors within one's network." The theory cited asserts that individual's resource management instincts impact sentiment. Repeated app usage is clarified as ongoing appropriation. Actual app store review data is used to test the proposition that sentiment analysis can aid in addressing current practice bottlenecks in requirements engineering. A sentiment analysis tool suite is applied to over 5000 reviews of productivity apps as a proof of concept. Findings support that sentiment analysis can address current bottlenecks to requirements engineering, but that certain types of reviews tend to elude algorithmic analysis. Future needs for sentiment analysis algorithms in the space are suggested.

Original languageEnglish (US)
Title of host publicationProceedings of the 45th Annual Hawaii International Conference on System Sciences, HICSS-45
PublisherIEEE Computer Society
Pages4168-4177
Number of pages10
ISBN (Print)9780769545257
DOIs
StatePublished - Jan 1 2012
Event2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duration: Jan 4 2012Jan 7 2012

Publication series

NameProceedings of the Annual Hawaii International Conference on System Sciences
ISSN (Print)1530-1605

Other

Other2012 45th Hawaii International Conference on System Sciences, HICSS 2012
Country/TerritoryUnited States
CityMaui, HI
Period1/4/121/7/12

ASJC Scopus subject areas

  • General Engineering

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