簡介
現任教於國立清華大學服務科學研究所，研究專長領域包括服務資訊系統架構和安全性以及計算統計學等主題，主要研究領域涵蓋線上平台上的使用者行為，並延伸至使用者成癮、線上社區參與、顧客轉換成本等理論，方法論研究則探索在解釋建模中使用預測方法的應用。研究成果發表於《資訊系統研究》、《管理資訊系統期刊》、《資訊系統協會期刊》等期刊。此外，也參與個人健康監測智能軟體程式的開發作業。
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近期研究
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Danks, N. P., Ray, S., & Shmueli, G. (2024). The composite overfit analysis framework: assessing the out-of-sample generalizability of construct-based models using predictive deviance, deviance trees, and unstable paths. Management Science, 70(1), 647-669.
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Schwartz, D. G., Spitzer, S., Khalemsky, M., Cano-Bejar, A. H., Ray, S., Chiou, J. Y., ... & Tsai, M. C. (2024). Apps don't work for patients who don't use them: Towards frameworks for digital therapeutics adherence. Health Policy and Technology, 13(2), 100848.
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Shmueli, G., & Ray, S. (2024). Reimagining the Journal Editorial Process: An AI-Augmented Versus an AI-Driven Future. Journal of the Association for Information Systems, 25(1), 10.
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Greene, T., Shmueli, G., Ray, S., 2023, Taking the Person Seriously: Ethically-aware IS Research in the Era of Reinforcement Learning-based Personalization, Journal of the Association of Information Systems.
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Cano Bejar, A.H., Ray, S., Huang, Y.H. 2023. Fighting for the Status Quo: Threat to Tech Self- Esteem and Opposition to Competing Smartphones, Information & Management.