@inproceedings{e15b445c68304887b28206e1221f4e92,
title = "Managing the enterprise business intelligence app store: Sentiment analysis supported requirements engineering",
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.",
author = "Michael Goul and Olivera Marjanovic and Susan Baxley and Karen Vizecky",
year = "2012",
doi = "10.1109/HICSS.2012.421",
language = "English",
isbn = "9781457719257",
series = "Proceedings of the Annual Hawaii International Conference on System Sciences",
publisher = "Institute of Electrical and Electronics Engineers (IEEE)",
pages = "4168--4177",
editor = "Sprague, {Ralph H.}",
booktitle = "HICSS 2012",
address = "United States",
note = "2012 45th Hawaii International Conference on System Sciences, HICSS 2012 ; Conference date: 04-01-2012 Through 07-01-2012",
}