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Institution

Shih Chien University

EducationTaipei, Taiwan
About: Shih Chien University is a education organization based out in Taipei, Taiwan. It is known for research contribution in the topics: Panel data & The Internet. The organization has 666 authors who have published 1128 publications receiving 22799 citations.


Papers
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Journal ArticleDOI
TL;DR: In this paper, the authors apply the new heterogeneous panel cointegration technique to re-investigate the long-run comovements and causal relationships between tourism development and economic growth for OECD and non-OECD countries (including those in Asia, Latin America and Sub-Sahara Africa) for the 1990-2002 period.

825 citations

Journal ArticleDOI
TL;DR: This paper applied the most recently developed panel unit root, heterogeneous panel cointegration and panel-based error correction models to re-investigate co-movement and the causal relationship between energy consumption and real GDP within a multivariate framework that includes capital stock and labor input for 16 Asian countries during the 1971-2002 period.

722 citations

Journal Article
TL;DR: Huili et al. as discussed by the authors employed the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate what impacts people to adopt mobile banking, and empirically concluded that individual intention to adopt Mobile Banking was significantly influenced by social influence, perceived financial cost, performance expectancy, and perceived credibility, in their order of influencing strength.
Abstract: Fast advances in the wireless technology and the intensive penetration of cell phones have motivated banks to spend large budget on building mobile banking systems, but the adoption rate of mobile banking is still underused than expected. Therefore, research to enrich current knowledge about what affects individuals to use mobile banking is required. Consequently, this study employs the Unified Theory of Acceptance and Use of Technology (UTAUT) to investigate what impacts people to adopt mobile banking. Through sampling 441 respondents, this study empirically concluded that individual intention to adopt mobile banking was significantly influenced by social influence, perceived financial cost, performance expectancy, and perceived credibility, in their order of influencing strength. The behavior was considerably affected by individual intention and facilitating conditions. As for moderating effects of gender and age, this study discovered that gender significantly moderated the effects of performance expectancy and perceived financial cost on behavioral intention, and the age considerably moderated the effects of facilitating conditions and perceived self-efficacy on actual adoption behavior. Keywords: mobile banking, UTAUT, wireless commerce, technology adoption 1. Introduction With the recently quick growth in the market of 3G smart mobile phones, the wireless service delivery channel becomes a promising alternative for firms to create commercial opportunities. However, despite many wireless commercial services increase quickly, the use of mobile banking service is much lower than expected [Cruz et al. 2010] and still underused [Huili & Chunfang 2011], and the market of mobile banking still remains very small in comparing to the whole banking transactions [Luarn & Lin 2005; Laukkanen 2007; Yang 2009]. That is, the widespread adoption and large usage of cell phones did not reflect on the adoption and usage of mobile banking, although mobile banking perhaps was the first commercial mobile service [Scornavacca & Hoehle 2007] and first introduced in the early 2000s through short messaging service and wireless access protocol [Dasgupta et al. 2010]. Both Internet banking and mobile banking are often considered as electronic banking [Suoranta & Mattila 2004; Laforet & Li 2005; Laukkanen 2007; Sripalawat et al. 2011], but Internet banking and mobile banking are two alternative channels for banks to deliver their services and for customers to acquire services [Scornavacca & Hoehle 2007]. That is, customers using Internet banking are through computers connected to Internet, while customers using mobile banking are through wireless devices [Riquelme & Rios 2010]. Concerning the difference between online banking and mobile banking contexts, customers considered mobility as the most valued feature of mobile banking [Suoranta & Mattila 2004] and the time-critical consumers considered the always-on functionality as the most important feature of mobile banking [Singh et al. 2010], while banking users considered that Internet banking took significant advantage in Usefulness and Purpose [Natarajan et al. 2010] and online banking was suggested as the cheapest delivery channel [Koenig-Lewis et al. 2010]. Considering the immense penetration of cell phones, Cruz et al. [2010] observed that banks has very large potential to offer mobile banking services to people living in remote villages where only few computers are connected to the Internet. Acknowledging the limitations of Internet banking as opposed to widespread mobile phone penetration, Dasgupta et al. [2011] suggested that the emerging mobile banking may give banks a good commercial opportunity providing their services to rural people who are unable to access the Internet. Hence, Dasgupta et al. [2011] pointed out that main customer segments of mobile and Internet banking were not necessarily the same, which might explain why Sadi et al. …

696 citations

Journal ArticleDOI
TL;DR: In this article, the antioxidant properties of oyster mushrooms were investigated and the scavenging effect on hydroxyl free radicals was found to be moderate to high (42.9-81.8%) at 6.4 mg ml−1.

461 citations

Journal ArticleDOI
TL;DR: A stochastic management problem is reformulate as a highly e$cient robust optimization model capable of generating solutions that are progressively less sensitive to the data in the scenario set, and the method proposed herein to transform a robust model into a linear program only requires adding n#m variables.

452 citations


Authors

Showing all 669 results

NameH-indexPapersCitations
Jeng-Leun Mau491468802
Chung-Hua Shen301383862
Jeou-Shyan Horng30733009
Chun-Ping Chang281254586
Hui Yu Huang22511201
Kun-Jen Chung20501675
Hui-Chun Huang201201581
Chih-Hsing Liu19631260
Joan-Hwa Yang16242463
Chian-Son Yu16322186
Cheng-Hsun Ho16292211
Jau-Yang Liu1628950
Ming-Hua Lin1340547
Chien-Teng Hsieh1334442
Chao-Chun Chen1290548
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20231
202213
202166
202045
201959
201865