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

19 Citations (Scopus)

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 Annual Hawaii International Conference on System Sciences
Pages4168-4177
Number of pages10
DOIs
StatePublished - 2011
Event2012 45th Hawaii International Conference on System Sciences, HICSS 2012 - Maui, HI, United States
Duration: Jan 4 2012Jan 7 2012

Other

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

Fingerprint

Competitive intelligence
Requirements engineering
Application programs
Industry
Productivity
Personnel

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Goul, K., Marjanovic, O., Baxley, S., & Vizecky, K. (2011). Managing the enterprise business intelligence app store: Sentiment analysis supported requirements engineering. In Proceedings of the Annual Hawaii International Conference on System Sciences (pp. 4168-4177). [6149403] https://doi.org/10.1109/HICSS.2012.421

Managing the enterprise business intelligence app store : Sentiment analysis supported requirements engineering. / Goul, Kenneth; Marjanovic, Olivera; Baxley, Susan; Vizecky, Karen.

Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. p. 4168-4177 6149403.

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

Goul, K, Marjanovic, O, Baxley, S & Vizecky, K 2011, Managing the enterprise business intelligence app store: Sentiment analysis supported requirements engineering. in Proceedings of the Annual Hawaii International Conference on System Sciences., 6149403, pp. 4168-4177, 2012 45th Hawaii International Conference on System Sciences, HICSS 2012, Maui, HI, United States, 1/4/12. https://doi.org/10.1109/HICSS.2012.421
Goul K, Marjanovic O, Baxley S, Vizecky K. Managing the enterprise business intelligence app store: Sentiment analysis supported requirements engineering. In Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. p. 4168-4177. 6149403 https://doi.org/10.1109/HICSS.2012.421
Goul, Kenneth ; Marjanovic, Olivera ; Baxley, Susan ; Vizecky, Karen. / Managing the enterprise business intelligence app store : Sentiment analysis supported requirements engineering. Proceedings of the Annual Hawaii International Conference on System Sciences. 2011. pp. 4168-4177
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