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Toward an Information Systems Ontology
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2022 | DESRIST | Citations: 3
Authors: Mueller, Roland M.; Huettemann, Sebastian; Larsen, Kai R.; Yan, Sen; Handler, Abram

Abstract: We introduce the Information Systems Ontology (ISO), a new ontology for the Info ... Expand

Abstract: We introduce the Information Systems Ontology (ISO), a new ontology for the Information Systems (IS) discipline designed to enable automated knowledge synthesis and meta-analysis of research findings in IS. We constructed ISO in a methodical manner, following known best practices for ontology construction. We also conducted a series of ontology refinement steps in which we compared and extended ISO by extracting and examining both overlapping and missing key phrases from scientific articles and existing classification schemas. To evaluate ISO, we extracted author-defined keywords from more than 7,000 articles of the senior scholars’ basket of journals and measured terminological coverage. In one experiment, we found that our ontology included 3.6 times more author-defined keywords than an established classification schema for IS. In the future, we plan to use ISO to automatically annotate important IS terms and concepts in IS articles to help synthesize and analyze knowledge in IS. Collapse

Semantic filters: multimodal sentiment analysis

Topics: knowledge representation Python IS discipline marketing management artificial intelligence

Methods: ontological modelling computational algorithm literature sample design science case study

Theories: theory of organizational creativity
Should We Say What We Show? Examining the Influence of Image and Text Sentiments on Social Media Engagement

2019 | International Conference on Information Systems | Citations: 2
Authors: Alibakhshi, Reza; Srivastava, Shirish C

Abstract: This work-in-progress proposes a model of social media engagement comprising ima ... Expand

Abstract: This work-in-progress proposes a model of social media engagement comprising image and text sentiment analysis. Rooted in cognitive dissonance and prospect theories, we propose and test the influence of sentiment dissonance on the extent of user engagement. Our study makes several key contributions. We develop the sentiment dissonance construct and theorize about the attributes of sentiment dissonance that may limit or change its influence on social media engagement. Specifically, our study suggests that both the magnitude and direction of sentiment dissonance are essential for predicting its influence on user social media engagement. Our study can also help practitioners by providing them with valuable insights for creating social media creating content that can foster high user engagement. Collapse

Semantic filters: multimodal sentiment analysis

Topics: social media Instagram advertising management marketing management IS discipline

Methods: sentiment analysis theoretical contribution theory development econometric modeling multimodal sentiment analysis

Theories: cognitive dissonance theory prospect theory

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Toward an Information Systems Ontology

Should We Say What We Show? Examining the Influence of Image and Text Sentiments on Social Media Engagement