Sumin Han
Auburn University
10 Papers
6 Citations
Sumin Han is an academic researcher from Auburn University. The author has contributed to research in topics: Computer science & Biology. The author has an hindex of 3, co-authored 3 publications.
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Papers
Unbalanced data, type II error, and nonlinearity in predicting M&A failure
TL;DR: A forecasting model is developed that combines two complementary approaches: a generalized logit model framework and a context-specific cost-sensitive function that provides excellent forecasts when compared with traditional forecasting methods.
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Investigating the net benefits of contactless technologies in quick-service restaurants: the moderating roles of social interaction anxiety and language proficiency
TL;DR: In this paper , the authors apply the information system success model to examine the relationships among actual use, use continuance intention, user satisfaction and net benefits in the context of quick-service restaurant (QSR) patrons using two contactless technologies (CT): self-service kiosks (SSK) and mobile applications (MA) for food ordering.
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Forecasting net charge-off rates of banks: What model works best?
James R. Barth,Sumin Han,Sunghoon Joo,Kang Bok Lee,Stevan Maglic,Xuan Shen +5 more
- 05 Jun 2018
TL;DR: In this article, the authors focus on the losses of two very big banks, Citigroup (Citi) and Wells Fargo & Company (Wells Fargo), and two very small banks, First Busey Corporation (Busey) and Capital City Bank Group (Capital), over the period 1991-2016.
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A Bank's Optimal Capital Ratio: A Time-Varying Parameter Model to the Partial Adjustment Framework
Hyeon-Shik Baik,Sumin Han,Sunghoon Joo,Kangbok Lee +3 more
- 01 May 2022
TL;DR: In this paper , the authors extend the existing literature on bank capital structure by applying a time-varying parameter model to the partial adjustment framework, which allows one to obtain a more timely and on-going assessment of bank behavior in adjusting the capital ratio to its optimal or target level.
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Exploring satisfaction with social networking sites through the lens of fan page visiting: uncertainty reduction and general systems theory perspective
TL;DR: In this paper , the authors employed uncertainty reduction theory (URT) and general systems theory (GST) to examine antecedents affecting overall satisfaction with social network site usage in conjunction with their fan page visiting activities and found that perceived usefulness becomes a strong motivator to continuance visits to the fan page.
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