Center for Enterprise Systems and Informatics Research
The future of business will be determined by making data-driven decisions using business analytics and achieving global excellence through adaptive business processes, sustainable systems, and futuristic thinking.
The faculty, students, and partners engaged with the Center for Enterprise Systems and Informatics Research (CESIR) focus on researching, explaining, and predicting business performance by applying insightful analysis, analytical models, and powerful software. CESIR helps equip tomorrow's IT professionals with the unique blend of resources, skills, and abilities needed to confidently and competently tackle important business challenges. CESIR develops faculty and students to apply emerging and proven technologies to solve difficult and costly business problems.
Using best practices, state of the art software, and leading-edge methods and technologies, CESIR supports research designed to develop new ways to drive cost, time, and risk out of global business processes. CESIR and its partners teach and apply advanced technologies. These include cloud computing, big data, business analytics, and enterprise resource planning software supported by our partnership with SAP, the world leading enterprise systems provider. Our students will shape the business of tomorrow.
CESIR Facilitates & Supports:
- Industry networking often enabled by SAP and our other industry partners
- Real-life problem solving and support
- Cross-discipline collaborations for curriculum research and development
- Development of strategic partnerships
- Student participation in local, regional, and national competitions
| Title | Presenter | Date |
| Title | Authors | Publication Outlet | Year |
| Using a Heuristic-Systematic Model to assess the Twitter user profile’s impact on disaster tweet credibility | Jaebong Son, Jintae Lee, Onook Oh, Hyung Koo Lee, Jiyoung Woo | International Journal of Information Management (IJIM) | 2020 |
| Understanding the Uncertainty of Disaster Tweets and Its Effect on Retweeting: The Perspectives of Uncertainty Reduction Theory and Information Entropy | Jaebong Son, Jintae Lee, Larsen R. Kai, Jiyoung Woo | Journal of the Association for Information Science and Technology (JASIST) | 2020 |
| When More is More and Less is More: Depth and Breadth of Product Reviews and Their Effects on Review Helpfulness | Jaebong Son, Arash Negahban, Youngsu Lee, James Connolly, Dalen Chiang | Hawaii International Conference on System Sciences (HICSS) | 2020 |
| Content Features of Tweets for Effective Communication during Disasters: A Media Synchronicity Theory Perspective | Jaebong Son, Hyoungkoo Lee, Sung Jin, and Jintae Lee | International Journal of Information Management | 2019 |
Topic Diversity of Online Consumer Reviews and Its Effect on Review Helpfulness | Jaebong Son, Arash Negahban, and Dalen T. Chiang | Americas Conference on Information Systems (AMCIS) | 2019 |
| Epistemology in the era of fake news: An exploration of information verification behaviors among social networking site users | Russell Torres, Natalie Gerhart, Arash Negahban | DATABASE for Advances in Information System Journal | 2018 |
| Combating fake news: An investigation of information verification behaviors on social networking sites | Russell Torres, Natalie Gerhart, Arash Negahban | Hawaii International Conference on System Sciences | 2018 |
| Identifying trending sentiments in the 2016 US presidential election: A case study of twitter analytics | Sri Hari Deep Kolagani, Arash Negahban, Christine Witt | Issues in Information Systems Journal | 2018 |
| Quick-and-Wide Propagation of Disaster Tweets: Its Measurement and Implications | Jaebong Son and Yongmoo Suh | International Conference on Information Systems (ICIS) | 2018 |
| Combating fake news: an investigation of individuals’ information verification behaviors on social networking sites | Sri Hari Deep Kolagani, Arash Negahban, Christine Witt | Americas Conference on Information Systems | 2017 |
| Understanding the Antecedents of Fake News Awareness | Arash Negahban, Natalie Gerhart, Russell Torres | Decision Science Institute Annual Conference (DSI) | 2017 |
| How Do Multiple Topics in Terse Tweets Affect Retweeting? Evidence from the 2013 Colorado Floods | Jaebong Son, Hyungkoo Lee, Sung Jin, and Jiyoung Woo | Americas Conference on Information Systems (AMCIS) | 2017 |
| Analyzing Twitter Activity around US Presidential Primary Elections through Social Media Analytics | Sri Hari Deep Kolagani, Arash Negahban, Christine Witt | Decision Science Institute Annual Conference (DSI) | 2016 |
Arash Negahban
Director
anegahban@csuchico.edu
530-898-6477