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This large-scale study of 1,990 responses from practitioners in a wide range of industries developed and tested a model of relationships among a specific type of strategic information system -strategic performance measurement systems (SPMS) -characteristics and business outcomes. Using as methodology path analysis and stepwise regression, we found that two(More)
This paper presents the approach of the CISUC-KIS team to the SemEval 2014 task on Sentiment Analysis in Twitter, more precisely subtask B Message Polarity Classification. We followed a machine learning approach where a SVM classifier was trained from a large and diverse set of features that included lexical, syntactic, sentiment and semantic-based aspects.(More)
This large-scale study of 1,990 responses from practitioners in a wide range of industries developed and tested a model of relationships among strategic performance measurement systems (SPMS) characteristics and outcomes. Using path analysis and stepwise regression, we found that two SPMS characteristics (design purpose and information technology use),(More)
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