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.