| Understanding echo chambers and filter bubbles: The impact of social media on diversification and partisan shifts in news consumption. B Kitchens, SL Johnson, P Gray MIS quarterly 44 (4), 2020 | 435 | 2020 |
| Advanced customer analytics: Strategic value through integration of relationship-oriented big data B Kitchens, D Dobolyi, J Li, A Abbasi Journal of Management Information Systems 35 (2), 540-574, 2018 | 337 | 2018 |
| Quality of health-related online search results B Kitchens, CA Harle, S Li Decision Support Systems 57, 454-462, 2014 | 148 | 2014 |
| Phishing Susceptibility in Context: A Multilevel Information Processing Perspective on Deception Detection R Wright, SL Johnson, B Kitchens MIS Quarterly 47 (2), 803-832, 2023 | 30* | 2023 |
| Electronic markets and geographic competition among small, local firms B Kitchens, A Kumar, P Pathak Information Systems Research 29 (4), 928-946, 2018 | 28 | 2018 |
| Deep learning for adverse event detection from web search F Ahmad, A Abbasi, B Kitchens, D Adjeroh, D Zeng IEEE Transactions on Knowledge and Data Engineering 34 (6), 2681-2695, 2020 | 27 | 2020 |
| Captivate: Building blocks for implementing active learning B Kitchens, T Means, Y Tan Journal of Education for Business 93 (2), 58-73, 2018 | 25 | 2018 |
| An examination of not-for-profit stakeholder networks for relationship management: a small-scale analysis on social media J Wyllie, B Lucas, J Carlson, B Kitchens, B Kozary, M Zaki PloS one 11 (10), e0163914, 2016 | 22 | 2016 |
| Timely, Granular, and Actionable: Designing a Social Listening Platform for Public Health 3.0 B Kitchens, JL Claggett, A Abbasi MIS Quarterly 48 (3), 2024 | 6 | 2024 |
| The risks of AutoML and how to avoid them A Abbasi, B Kitchens, F Ahmad Harvard Business Review 24, 2019 | 6 | 2019 |
| The effects of website traits and medical skepticism on patients’ willingness to follow web-based medical advice: web-based experiment J Claggett, B Kitchens, M Paino, K Beisecker Levin Journal of Medical Internet Research 24 (2), e29275, 2022 | 4 | 2022 |
| From lexicons to Generative AI: Benchmarking data annotation in business research R Mousavi, B Kitchens, A Oliver, A Abbasi Available at SSRN 4776480, 2024 | 3 | 2024 |
| Identifying the peripheral cues in the credibility assessment of online health information JL Claggett, B Kitchens, M Paino Information & Management 61 (8), 104037, 2024 | 2 | 2024 |
| A small-scale analysis of health service stakeholder networks: Insights from social media J Wyllie, B Lucas, B Kitchens, B Kozary, M Zaki, J Carlson Cambridge Service Alliance, University of Cambridge, 2016 | 2 | 2016 |
| Is news really news? The effects of selective disclosure regulations B Kitchens, R Parham, C Yung Review of Finance 28 (6), 1991-2015, 2024 | 1 | 2024 |
| Knowledgemap, an automated classification of research areas in a scientific discipline M Moqri, S Bandyopadhyay, B Kitchens Workshop of Information Technology and Systems, Auckland, 2014 | 1 | 2014 |
| Financial Incentives and the Performance of Crowds: A Closer Look M Moqri, B Kitchens, A Kumar USA: University of Florida Publishing, 2014 | 1 | 2014 |
| ‘When Is a Liability Not a Liability’Revisited: Should Financial Text Analysis Abandon General Lexicons? B Kitchens, D Mitra, J Johnson, P Pathak Revisited: Should Financial Text Analysis Abandon General Lexicons, 2014 | | 2014 |
| Health-Related Web Searches: Examining Quality CA Harle, B Kitchens | | |
David G. DobolyiCaruso Faculty Scholar, Leeds School of Business, University of Colorado BoulderE-mail megerősítve itt: colorado.edu