• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.499-504
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• 2020

Service quality of any institution is a pull factor for attracting and retaining the customer. The present study examines the customer satisfaction level toward the quality of service offered by the Islamic banks in Oman. It also aims to find out which dimension influences customer satisfaction more concerning the other dimension chosen for the study. To fulfil the need of the study, a structured questionnaire is distributed amongst 100 customers of Islamic banks. The random stratified sampling technique is used for the collection of the data. The collected data is analyzed using the correlation and the multiple linear regression techniques. The result of the study indicates that timely service provided by the banking personnel has a mean score of 4.57, bank staff readiness to serve the customer has a mean score of 4.36, and the security of the banking operation has a mean score of 4.37 occupies the highest rank in their respective dimension chosen for the study. The study reveals that all three dimensions of quality of service represented by Services Reliability, Services Responsiveness and Services Security have a positive and significant correlation with customer satisfaction. The regression results also indicate that all three dimensions influence customer satisfaction of the Islamic banks.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.9
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• pp.263-269
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• 2020

The purpose of this paper is to examine the impact of consumer price index, infrastructure, human resources, trade openness, and private credit on the attraction of foreign direct investment (FDI) in Tay Ninh province as well as to emphasize the important role of FDI in economic growth of developing areas. The research data was collected from Tay Ninh Statistical Office with 80 samples of a 20-year period from 2000 to 2019. Also, OLS regression method using Eviews software was employed to analyze the data obtained. The findings revealed that human resources, infrastructure and private credit have a positive and significant impact on FDI attraction in Tay Ninh province, while consumer price index was proven to affect FDI attraction negatively. Accordingly, competent authorities of Tay Ninh province should focus on stabilizing prices as well as implementing policies for developing local human resources and attracting high-quality personnel from foreign countries. Tay Ninh province also needs to pay more attention to information technology investment for synchronous development of infrastructure. Moreover, the State Bank of Tay Ninh branch needs to consider more credit sources to provide support packages for businesses, creating a strong basis for establishments to attract FDI for the province's economic development.

• The Journal of the Korea Contents Association
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• v.13 no.11
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• pp.677-689
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• 2013

This paper derives the evaluation indicators relating to the mechanism and success factors of culture industrial cluster from the successful cases of culture industry in foreign countries and provides policy implications for the successful construction of culture industrial cluster by comparing with the survey of Gwang-Ju city's culture content companies. This paper shows that policy implications are linkage by leading firm of successful companies, securing huge hinterlands nearby metro city, cultivating of creative talented persons, operating of capital funds, promoting main force business(game, animation, mobile)-oriented culture industry, positive vitalization of network, role strengthening of city or Information & Culture Industry Promotion Agency as vision provider, and aggressive granting of incentives for attracting companies.

• Journal of Advanced Navigation Technology
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• v.14 no.5
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• pp.737-744
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• 2010

A Social Network Service(SNS) is the best attracting internet business model and serviced in the several countries. The Facebook is the most popular SNS in a foreign country and the Cyworld is most popular one in Korea. In this paper, after investing and analyzing the existing Social Network Services, I present a new OpenU Social Network Service based on Web 2.0 concepts. This is a next generation internet platform which can be communicated with real-time chatting and share d data and talked during seeing data by collaboration functions OpenU's main characteristics and functions by screen design and implementations are explained. And also OpenU's excellence by comparing with other SNSs system is presented.

• The Research Journal of the Costume Culture
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• v.28 no.3
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• pp.389-407
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• 2020

With YouTube's overwhelming share of the market, research on analyzing the types of content on YouTube is essential. An analysis of major global fashion YouTubers that the types of video content could be largely classified into three main categories: Fashion, beauty and daily life. The fashion category was subdivided into styling and fashion product review content type. The beauty category was subdivided into tutorials, beauty product reviews, and beauty tip content types. The daily life category was subdivided into daily sharing, consultation, and Q & A content types. Video content within fashion YouTuber channels is accompanied by expertise in fashion and beauty. At the same time, videos on daily life are uploaded, and through interactive communication with viewers, YouTubers form an intimate bond with subscribers. Content emphasizing entertainment, not just information delivery that introduces fashion products, is attracting growing interest among subscribers. This study analyzed the content of the increasingly popular fashion YouTuber channels and determined its important characteristics. The study makes a significant contribution to academic research by laying a foundation for future studies of YouTube content in the fashion field. Since differences in country of birth and race among YouTubers may influence content production, follow-up research will be conducted on the types and characteristics of domestic fashion YouTubers.

• The Journal of Information Systems
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• v.14 no.1
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• pp.171-195
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• 2005

The current study investigates major factors which influence the consumer's selection of internet shopping malls. Based on the technology acceptance model(TAM)(Davis, 1989) and trust theory(McKnight & Chervany, 2001), consumer selection factors from marketing research(Burke, 1997;Dodds et al, 2001), perceived usefulness, perceived ease of use, trust, service quality, and product price were hypothesized as to affect the consumer's decision to choose one's specific internet shopping malls. The study developed a research model to explain the shopping mall selection and collected the survey responses from 312 internet shopping mall users. The results of the current research indicate that all the research variables employed in the study, perceived usefulness, perceived ease of use, trust, service quality, and product price, are found to significantly influence the consumer's shopping mall selection decision. Among the influencing factors, price, service quality, and trust showed a greater effect on the shopping mall selection than usefulness and ease of use. This result implies that purchase-related variables such as price and service quality may be more critical to attracting customers and thereby raising the sales volume of the shopping mall, than the web site's usefulness and ease of use.

• Journal of Korea Multimedia Society
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• v.14 no.8
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• pp.1050-1060
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• 2011

With increasing need for indexing of persons in a large video database, automatic indexing has been attracting great interest which takes advantage of automatic tagging instead of the time-consuming and costly manual tagging. However, automatic indexing approach should provide a degree of recognition proximity because it cannot identify the persons with accuracy of 100%. In this paper, we propose an efficient storage method for storing posting lists efficiently and a novel ranking technique of ordering relevant videos for efficient retrieval. Through experiment evaluations we have shown that our storage method exhibits good performance in compressing the posting list. We have also shown that the proposed ranking method is effective for finding relevant videos.

• Journal of information and communication convergence engineering
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• v.13 no.4
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• pp.241-247
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• 2015

Cognitive radio has been attracting increased attention as an effective approach to improving spectrum efficiency. One component of cognitive radio, spectrum sensing, has an important relationship with the performance of cognitive radio. In this paper, after a summary and analysis of the existing spectrum-sensing algorithms, we report that the existing eigenvalue-based semi-blind detection algorithm and blind detection algorithm have not made full use of the eigenvalues of the received signals. Applying multi-antenna systems to cognitive users, we design a variety of spectrum-sensing algorithms based on the joint distribution of the eigenvalues of the received signal. Simulation results validate that the proposed algorithms in this paper are able to detect whether the signal of the primary user exists or not with high probability of detection in an environment with a low signal-to-noise ratio. Compared with traditional algorithms, the new algorithms have the advantages of high detection performance and strong robustness

• Journal of Navigation and Port Research
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• v.36 no.9
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• pp.753-761
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• 2012

To achieve a differential advantage over competitors and protect their long-term interest, shipping lines have striven to find ways to maintain an ongoing relationship with shippers which can be achieved by attaining their loyalty. The benefits of loyal shippers are potentially huge in that they generate long-term revenue streams as well as provide cost savings as compared with attracting new shippers. Logistics service provided by shipping lines is identified as one of the effective tools for building customer loyalty. However, in a review of the literature none of the studies examine how logistics service creates customer loyalty, particularly between shipping lines and shippers. Consequently, the overarching purpose of this paper is to extend knowledge on logistics service performance and its relationship with customer loyalty in the unique context of maritime transport by proposing a new conceptual model based on an extensive literature review. The major contribution is to offer a new insight into the complex relationships between those 'soft' concepts in the context of maritime transport.

• Journal of Navigation and Port Research
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• v.32 no.3
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• pp.265-269
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• 2008

This study was to analyze the visual preference of the port landscapes for North port in Busan. Preference related variables came from Semantic Differential(SD) method and then were conducted by the factor analysis. Multiple regression was done for the relationship between the preference and factors. The result found 4 factors, including dynamics, stability, pleasantness and healthiness. Much importance was placed on dynamics among them. Therefore, building port landscapes and their image attracting viewers should consider dynamics in terms of port landscape plan and user attraction development for visual quality management.