• The Journal of Industrial Distribution & Business
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• v.10 no.1
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• pp.39-49
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• 2019

Purpose - Previous studies examined effects of sharing economy in the fields such as accommodation and automobile sector, while there are lack of researches in the field of skill-sharing economy. By classifying skill-sharing into general and special skill-sharing, this study explored effects of variables such as transaction utility, social utility, sustainability utility, emotional utility, economic utility, and trust utility, on attitudes, intention, satisfaction, and loyalty of demand (i.e., customers) and supply (i.e., providers) sides, potential, and actual customers. Research design, data, and methodology - Data were collected via both online and offline surveys. This study applied factor analysis and multiple regression analysis for findings. Results - Results show that utilities for general suppliers' skill-sharing are significant than other cases. Among utilities, this study found that trust utility shows significant for the cases of special customers', general suppliers' and special suppliers' potential skill-sharing. The results implies that trust is crucial in the transaction of the sharing economy. Conclusions - Enhanced managerial systems help resolve issues on the sharing economy. This study provides implications what are positive effects of skill-sharing economy and recommends proper establishment of the sharing economy.

• Korean Journal of Human Ecology
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• v.18 no.5
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• pp.1063-1075
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• 2009

This study intends to provide foundational data for enhancing the welfare of customers purchasing digital products through analyzing the notes from written on-line reviews. The data used for the analysis are 6,342 on-line reviews for cell phones and digital cameras released from November, 2007 until April, 2008, which was posted on Naver Knowledge Shopping from November, 2007 until June, 2008. Through the on-line reviews, this article analyzed the evaluations on the digital products' hardware, software, design, service, price, and other criteria and the customers' emotional experience in the process of purchase, use, and possession. According to the results of the analysis, negative evaluation and emotional experience were originated from the company's information provision methods and purchase process. In addition, insufficient information searches in the process of online purchases, consumers' low right consciousness, and impolite on-line reviews were also problematic. Customers' evaluations and emotional experiences on digital products were conducted in a complex way. Based on that, this research makes suggestions in the company's marketing, customer education, and theoretical aspect.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.12 no.10
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• pp.5120-5142
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• 2018

Social media enables customers to share their views, opinions and experiences as product reviews. These product reviews facilitate customers in buying quality products. Due to the significance of online reviews, fake reviews, commonly known as spam reviews are generated to mislead the potential customers in decision-making. To cater this issue, review spam detection has become an active research area. Existing studies carried out for review spam detection have exploited feature engineering approach; however limited number of features are considered. This paper proposes a Feature-Centric Model for Review Spam Detection (FMRSD) to detect spam reviews. The proposed model examines a wide range of feature sets including ratings, sentiments, content, and users. The experimentation reveals that the proposed technique outperforms the baseline and provides better results.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.413-419
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• 2020

This research focuses on the analysis of factors affecting the market share of retailers in Vietnam. This research uses Smith and Chaffey's (2005) 5Ss e-marketing model for analysis, which include Sell, Serve, Speak, Save, and Sizzle. Both quantitative and qualitative methods will be used to conduct the study. The researchers collected information from customers, managers, and directors in 25 retailers in Vietnam. A survey questionnaire was delivered to 15 people in each of the retailers who are customers, managers and directors. The researcher used the SPSS 16.0 software to analyze the data collected and in-depth interviews were carried out with the purpose of testing the hypothesis as well as the overall framework of the research. Out of the 375 questionnaires delivered, 360 were returned. The means of 23 items in the survey questionnaire ranged from 3.3733 to 4.3533 representing the outcome of the descriptive analysis. Research results showed that Cronbach's Alpha coefficient of five factors affecting the market share of the retailers is sizzle, save, sell, serve and speak. This research has proposed some implications for the market share of retailers, including technology enhancement for full message delivery, ways to approach target customers, and improving product diversity.

• The Journal of Asian Finance, Economics and Business
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• v.7 no.11
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• pp.421-428
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• 2020

The study investigates the causal factors affecting mobile banking services acceptance by customers in Thailand. This study employs quantitative research methodology and non-probability sampling to draw 400 mobile banking users from the population who are the mobile banking users of commercial banks in Thailand. The online questionnaires were used as a research tool to collect data with the Cronbach's alpha coefficient as 0.931. By using the structural equation model to analyze data, the results have shown that service quality, perceived usefulness, perceived ease-of-use, safety in use, and social factors influenced mobile banking services acceptance by customers in Thailand.By checking the harmony with the statistics χ² = 108.618, df. = 86, χ²/df. = 1.263, p-value = .050, CMIN/DF =1.263, GFI = .989, AGFI=.962, TLI= .962, CFI = .976, RMSEA = .037,along with testing the weight factor. In conclusion, the research model was found to be harmonious with the empirical data at the significance level 0.05. The findings of this study suggest that the commercial banks should apply this research to understand the acceptance behavior of mobile banking users, also to determining marketing strategies, identifying opportunities and creating a competitive advantage for their services in the future.

• The Journal of Information Systems
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• v.18 no.2
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• pp.1-18
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• 2009

Recently, internet banking is growing rapidly. Moot banks in Korea provide internet banking services. Internet banking becomes a major trend in the financial marketplace. With advanced computer technology and declining communication costs, many customers prefer online alternatives such as internet banking, mobile banking or phone banking rather than going to banks by themselves. The number of customers using those alternatives is skyrocketing and domestic commercial banks encourage them of the use. As the internet is highly developed, customers demand higher quality services and banks develop and provide diverse services in order to respond to them. However, internet banking service users are still afraid of their personal and financial information being exposed on the internet. The purpose of this research is to empirically analyze the influence that appropriate internet banking affect user's security intention. The research model proposed in this study includes user's security intention which is influenced by self-efficacy, security trust, Internet banking attitude, perceived security and security intention. According to the result of this study, self-efficacy and security trust are related to the security attitude. There is a significant relationship between security attitude and perceived security. Also, user's security attitude and perceived security is significantly affected by security intention.

• Journal of Information Technology Applications and Management
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• v.12 no.3
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• pp.129-150
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• 2005

Due to the advance of the Internet, the electronic commerce is getting more widely used, and customer's demand for the e-Commerce service quality is rapidly increasing. On the other hand, e-Commerce companies required the Internet services whose quality is provided more reliable service to their customers. Therefore, it is very important to provide both e-Commerce companies and customers with the measurement and service quality in real-life network environment. But the research on the service quality measurement method for electronic commerce systems has been limited because ISP and e-Commerce providers seldom disclose detailed service measures such as, where and how much service delay incurred. In this paper, we construct sample e-Commerce systems and try to measure the service quality of the systems in real network environment. We have analyzed the delay zones and causes using a measurement tool. We must reflect the improvement method against delay causes. Accordingly, the customers can be experiences the better service quality. We hope that this research will be the groundwork for future research on the service quality of various types of e-Commerce systems and online services.

• The Journal of Asian Finance, Economics and Business
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• v.6 no.1
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• pp.169-175
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• 2019

Service quality has been a point of discussion from the decades as it is important for customer satisfaction, loyalty and retention. Various models have been proposed to measure the quality in the service sector. Models are modified in accordance with context and geography to assess the quality of service better. This study aims to investigate the impact of the modified e-SERVQUAL model on the customer perception about the existing relation and potential scope of doing business with a bank which in-turn will decide the performance of the bank. Statistical data was analyzed through various tests like reliability analysis, correlation and regression analysis using SPSS 25.0. The primary data of e-SQ and performance was gathered from 721 internet banking users using 32 item questionnaire, representing 72% response rates, of four selected Islamic banks of Malaysia. E-SERQUAL was modified by adding Shariah Compliance information about banks and products for Islamic banking customers. The finding specified that efficient & reliable services, fulfillment, security/trust, and Shariah compliance information have a significant association with the performance of Islamic banks. The research is original and its implications will be helpful for Islamic banks across the world to enhance the online experience of customers, which will help them to retain the customers in the rapid changing virtual environment.

• Journal of the Korean Society of Food Culture
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• v.34 no.3
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• pp.308-315
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• 2019

This study examined the service quality attributes of the CVS (Convenient Store) packed meal products by applying the Kano model. The main survey was conducted by a research company using an online survey in the form of a self-administered questionnaire. The 499 samples were limited to customers who had experienced CVS packed meal products within the last months. A total of 14 service quality attributes of the CVS premium packed meal products were categorized as four attractive qualities, one must-be quality, three one-dimensional qualities and six indifferent qualities. According to the Better and Worse quotient designed by Timko, 'coupon and sales promotion event', 'healthy menu configuration', and 'balanced nutrition' had higher levels of the Better coefficient. On the other hand, 'hygiene and cleanliness', 'the delicious food', and 'fresh ingredients' showed a higher Worse coefficient. The results also suggest that each service quality attribute is not a single dimension but a complex attribute. As a result, this research suggests that marketing practitioners should immediately identify consumer's changing perception of quality to attract new customers and prevent existing customers from leaving in the CVS premium packed meal products segment.

• Knowledge Management Research
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• v.19 no.4
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• pp.59-76
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• 2018

With the arrival of the big data era, customer data and data mining analysis have gradually dominated the process of Customer Relationship Management (CRM). This phenomenon indicates that customer data along with the use of information techniques (IT) have become the basis for building a successful CRM strategy. However, some companies can not discover valuable information through a large amount of customer data, which leads to the failure of making appropriate business strategy. Without suitable strategies, the companies may lose the competitive advantage or probably go bankrupt. The purpose of this study is to propose CRM strategies by segmenting customers into VIPs and Non-VIPs and identifying purchase patterns using the the VIPs' transaction data and data mining techniques (K-means clustering and association rules) of online shopping mall in Korea. The results of this paper indicate that 227 customers were segmented into VIPs among 1866 customers. And according to 51,080 transactions data of VIPs, home product and women wear are frequently associated with food, which means that the purchase of home product or women wears mainly affect the purchase of food. Therefore, marketing managers of shopping mall should consider these shopping patterns when they build CRM strategy.