Browsing by Author "Hsiao, Chieh-Yu"
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Item type:Item, A passenger demand model for air transportation in a hub-and-spoke network(2011-11-01) ;Hsiao, Chieh-Yu ;Hansen, Mark ;運輸與物流管理系 註:原交通所+運管所Department of Transportation and Logistics ManagementThis paper develops an air passenger model that deals with city-pair demand generation and demand assignment in a single framework. Using publicly available and regularly collected panel data, the model captures both time series and cross-sectional variation of air travel demand. The empirical analysis finds that pattern of correlations among alternatives can be described by a three-level nested logit model. Fare, frequency, flight time, direct routing, on-time performance, income, and market distance have significantly effects on air demand. Correcting for the problem of endogenous air fares using instrumental variables yields more plausible estimates of price sensitivity and value of time. (C) 2011 Elsevier Ltd. All rights reserved.Item type:Item, Modeling e-loyalty: a moderated-mediation model(2018-12-10) ;Lin, Chieh-Peng ;Chiu, Chou-Kang ;Liu, Chu-Mei ;Chen, Kuang-JungHsiao, Chieh-YuThis work proposes a research model that elaborates upon the development of e-loyalty based on the signaling theory and attachment theory. In the model, e-loyalty is indirectly related to both visual appeal and an e-tailer's service reputation through the full mediation of trust and affection. At the same time, the relationships between trust and e-loyalty and between affection and e-loyalty are hypothetically moderated by an e-tailer's service reputation. The proposed hypotheses of this research were empirically tested using data from working professionals in high-tech firms in terms of online retailing. This study surveyed the same research participants at two different time points, one month apart, to verify the theoretical inferences. The empirical findings herein complement the previous literature by presenting how visual appeal and an e-tailer's service reputation simultaneously influence e-loyalty through various mediating and moderating mechanisms.