Browsing by Author "Hsieh, Tsui-Chuan"

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Assessing how service quality, airline image and customer value affect the intentions of passengers regarding low cost carriers
(2012-05-01)
Yang, Keng-Chieh
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Hsieh, Tsui-Chuan
;
Li, Hendrik
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Yang, Chyan
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資訊管理與財務金融系註：原資管所+財金所
This paper uses simple structural equation modelling to investigate relationships between service quality, airline image, customer value and behavioural intentions for passengers to fly on low cost carriers. In particular it focuses on flier's expectations of the types of services that they can enjoy. The analysis indicates that service quality has a significant positive effect on customer value, airline image and behavioural intentions, but that airline image does not itself significantly influence behavioural intentions. Crown Copyright (C) 2011 Published by Elsevier Ltd. All rights reserved.
DO ONLINE LEARNING PATTERNS EXHIBIT REGIONAL AND DEMOGRAPHIC DIFFERENCES?
(2012-01-01)
Hsieh, Tsui-Chuan
;
Yang, Chyan
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
This paper used a multi-level latent class model to evaluate whether online learning patterns exhibit regional differences and demographics. This study discovered that the Internet learning pattern consists of five segments, and the region of Taiwan is divided into two segments and further found that both the user and the regional segments are highly interpretable. The individual segments are dictated by demographic variables, such as age and gender. For instance, younger people were good at employing Internet services; those 21-30 years old adopted e-learning, browsed blogs, and enjoyed the Internet more than others; and females preferred e-learning applications more than males did. On the other hand, the regional segments are dictated by the individual segments. For instance, the service area segment comprised a higher proportion of members who were good at online learning applications. The agricultural area segment made up a higher proportion of members who were traditional users. The findings provide both product or service providers/vendors and curriculum designers with an applicable guideline for developing service strategies for better matches and higher service satisfaction between the curriculum and the users' needs.
Multi-Level Latent Class Analysis of Internet Use Pattern in Taiwan
(2011)
Hsieh, Tsui-Chuan
;
Yang, Chyan
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
This study reports the Taiwan Government survey results of the Internet use pattern by Multi-level Latent Class Analysis (MLCA). Based on the stratified random sampling with total sample size of 16,133, this study discovers the use pattern of Internet consists of seven segments: knowledgeable segment, traditional use segment, amusement segment, entertainment & online shopping segment, leisure & aloof segment, business segment, Interactive segment. At a higher level, the entire Taiwan is divided into three segments: Southern Taiwan, Northern Taiwan, and metropolitan. Besides. the Internet use behaviors of instant messenger. email, or IP-phone are uncorrelated. This study enriches findings of this research to provide researchers and practitioners a good guideline for its economic development policy setting.
Regional differences of online learning behavior patterns
(2013)
Yang, Chyan
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Hsieh, Tsui-Chuan
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
Purpose - The aim of this paper is to show that online learning behaviors are dictated by both personal characteristics and regional differences. Design/methodology/approach - Data were collected from 16,133 users in 25 regions of Taiwan. The paper examined usage behaviors by looking at 11 items of categorical variables about online learning. This study implemented a multi-level latent class model to investigate online learning behavior patterns that exhibit regional differences. Findings - The results showed that online learning patterns do exhibit regional differences, as the regional segments are dictated by the individual segments of different use patterns. For instance, the urban area segment comprised a higher proportion of members who are good at using the internet. The rural area segment made up a higher proportion of members who occasionally use the internet. Interestingly, rural users went online more often than urban users when in search of e-learning or entertainment. On the other hand, the individual segments are dictated by users' personal characteristics. For instance, younger people are good at employing online learning and entertainment services. Moreover, those who use many types of online applications pay less respect to intellectual property rights than those who only use a few types of applications. Originality/value - By using a massive amount of survey data to show regional differences in online learning behavior patterns, the findings herein will help internet service providers form an applicable guideline for developing service strategies of higher service satisfaction between products and users' needs.
Research on Gender Differences of Trendy Online Behavior Patterns
(2011)
Hsieh, Tsui-Chuan
;
Yang, Chyan
;
資訊管理與財務金融系註：原資管所+財金所
;
Department of Information Management and Finance
The purpose of this article was mainly to investigate gender differences for trendy online behavior patterns. This study applied the latent class analysis model to investigate Internet usage patterns from five trendy online applications among 10,909 Taiwan residents. The results showed that trendy online behavior patterns exhibited gender differences. For instance, females preferred blog service more than males do. Male in general were good at online security issue and mobile service. Gender difference depends on various/heterogeneity application. The findings herein should help Internet service providers form an applicable guideline for developing service strategies of higher service satisfaction between marketing materials, products and users' needs.
Urban and rural differences Multilevel latent class analysis of online activities and e-payment behavior patterns
(2013)
Hsieh, Tsui-Chuan
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Yang, Keng-Chieh
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Yang, Conna
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Yang, Chyan
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經營管理研究所
Purpose - The purpose of this article is to investigate urban and rural differences for online activities and e-payment behavior patterns. Design/methodology/approach - This study applied the MLCA model to investigate Internet usage patterns from 11 online applications among 10,909 Taiwan residents in 25 different regions. Findings - The results showed that online behavior patterns exhibited regional differences, as the regional segments affected the individual segments of different use patterns. For instance, the urban area comprised a higher proportion of members who were accustomed to internet applications and skilled in online shopping by using a credit card. The rural area made up a higher proportion of members who only occasionally used online services. Moreover, rural region residents used other payment methods (excluding credit cards) more often than urban region residents. As expected, users' personal characteristics also dictated the online behavior-pattern. For instance, people with higher-level income spent relatively more money for online shopping and often used various internet applications than others. Practical implications - The findings herein should help Internet service providers form an applicable guideline for developing service strategies of higher service satisfaction regarding products and users' needs. Originality/value - This study implemented a multilevel latent class model to investigate online behavior patterns that exhibited urban and rural differences, with the goal of providing service providers an understanding and mastery of their target users.