Internet-banking customer analysis based on perceptions of service quality in Taiwan

Liang, Chih-Chin; Pei-Ching, Wu

doi:10.1080/14783363.2013.856546

Cited by 27 publications

(34 citation statements)

References 41 publications

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“…Internet banking enables customers to have access to remote financial services, such as enquiries of account data, payment of bills, financial payments, and online transfers, not in bank branches, but through the Internet via information devices such as PCs, Notebook PCs, and mobile devices [11]. With Internet banking, there is neither a physical branch nor counter staff, and consumers can have access to the transactions or services they need anytime and anywhere [12,13].…”

Section: Internet Bankingmentioning

confidence: 99%

Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach

2020

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The main purpose of this study is to propose a research model to explore the key factors affecting consumers' willingness to use online banking. There are two stages in this research. Firstly, the decision making trial and evaluation laboratory (DEMATEL) and analytic network process (ANP) were used to explore the key factors of companies in operation of online banking. Secondly, the structural equation modeling (SEM) was used to explore the key factors of consumers' actual use of online banking. The results showed differences in the factors that companies and consumers adopted. Based on the findings, companies can adjust their business strategies and improve the consumers' willingness of online banking usage. The primary factor valued by both companies and consumers is trust. Hence, in the business of internet banking, the companies must strengthen areas such as liquidity monitoring, information security, and compliance with financial regulations, in order to reduce risks and gain customers' trust.

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Section: Internet Bankingmentioning

confidence: 99%

Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach

2020

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“…Applying the same method, we now return to the initial matrix and delete the next available link (1,3). This deletion results in the following transition matrix and EPL: Note that deleting link (1,3) leads to a larger EPL than the one obtained by deleting link (1,2) and even larger than the initial EPL. In the same manner, the proposed procedure evaluates the deletion of all available links.…”

Section: Greedy Deletion Algorithm For Meplmentioning

confidence: 99%

“…In the same manner, the proposed procedure evaluates the deletion of all available links. It turns out that the maximal reduction in the EPL is obtained by deleting link (5,2). Having this link removed, one obtains the following transition matrix and its corresponding lowest EPL for the first deletion: The procedure now continues for up to D = 3 iterations (the number of permitted deletions) and eventually reaches the best solution by deleting links -(5,2), (5,4), and (4,1).…”

Section: Greedy Deletion Algorithm For Meplmentioning

confidence: 99%

“…Searching information content in websites is an integral part of internet services nowadays and is accepted as a major QoS criterion . Users spend a great deal of time browsing within websites, searching for specific content items.…”

Section: Introductionmentioning

confidence: 99%

“…S earching information content in websites is an integral part of internet services nowadays and is accepted as a major QoS criterion. 1,2 Users spend a great deal of time browsing within websites, searching for specific content items. A major quality measure of website browsing is the website service time, namely, the time it takes the user to reach a desirable content item once he or she reaches that website.…”

Section: Introductionmentioning

confidence: 99%

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Improving Websites' Quality of Service by Shortening Their Browsing Expected Path Length

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This work proposes a method to improve the QoS provided to internet users by website servers. In particular, the goal is to minimize the expected number of browsing steps (clicks), also known as the expected path length, which are required to reach a website page by a community of users. We use Markov chain modeling to represent the transition probabilities from one webpage to another, and the first passage from page to page that can be retrieved from web server logs. The proposed method deletes links among webpages to minimize the expected path length of the website. Three different methods for achieving this goal are examined: (i) a greedy deletion heuristic; (ii) an approximated branch and bound algorithm; and (iii) a cross‐entropy metaheuristic. Numerical studies show that the proposed greedy heuristic results in the optimal solution in more than 60% of the tested cases, while in almost 90% of the cases, the obtained solution is within 10% of the optimal solution. Both the approximated branch and bound and the cross‐entropy methods achieved optimality in more than 80% of the tested cases; however, this came with a much higher computational cost. Copyright © 2016 John Wiley & Sons, Ltd.

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Marketing strategy of internet-banking service based on perceptions of service quality in Vietnam

Liang

Nguyen

2017

Electron Commer Res

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Internet-banking customer analysis based on perceptions of service quality in Taiwan

Cited by 27 publications

References 41 publications

Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach

Analyzing the factors influencing adoption intention of internet banking: Applying DEMATEL-ANP-SEM approach

Improving Websites' Quality of Service by Shortening Their Browsing Expected Path Length

Marketing strategy of internet-banking service based on perceptions of service quality in Vietnam

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