• Journal of Distribution Science
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• v.19 no.7
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• pp.113-121
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• 2021

Purpose: Technology induces the virtual distribution channel to exist, especially for booking a room online. This situation, indeed, provides an alternative for the customers to book based on their budget through digital platforms. One platform offering competitive prices is virtual hotel operators, such as Airbnb, OYO, RedDoorz, and Airy Rooms. Preferably, after using their platform, the user should be satisfied and loyal. Hence, this investigation aims to prove some associations. The first is between e-satisfaction and e-loyalty. The second is between website quality and e-satisfaction. The final is between website quality and e-loyalty. Research design, data, and methodology: This study is quantitatively designed with the sample of 350 users of the virtual hotel operator applications in Bandar Lampung: Airbnb, OYO, RedDoorz, and Airy, as the samples. Therefore, by denoting this sample size, the structural equation model based on covariance is utilized to examine the three hypotheses proposed. Also, to get the responses, this study uses a survey through a questionnaire. Result: This investigation demonstrates the positive relationship between e-satisfaction and e-loyalty. Additionally, website quality positively associates with e-satisfaction and e-loyalty. Conclusion: The virtual hotel operators must have the superiority on their website-based application to update the information based on the room availability and price, ensure online transaction safety, and facilitate its utilization to maintain long-term satisfaction and loyalty virtually.

• Journal of the Korean Society of Clothing and Textiles
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• v.42 no.5
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• pp.871-883
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• 2018

This study tests consumer responses to online product recommendation service offered by a website. A product recommendation service refers to a filtering system that predicts and shows items that consumers would like to purchase based on their searches or pre-purchase information. The survey is conducted on 300 people in an age group between 20 and 40 years in a panel of an online survey firm. Data are analyzed using confirmatory factor analysis and structural equation modeling by AMOS 20.0. The results show that personalization quality does not have a significant effect on trust, but relationship quality and technology quality have a positive effect on trust. Three types of quality of recommendation service also have a positive effect on commitment. Trust and commitment are factors that increase service usage intentions. In addition, this study reveals the moderating effect of light users vs heavy users based on online shopping time. Light users show a negative effect of personalization quality on trust, indicating that they are likely to be uncomfortable to the service using personal information, compared to heavy users. This study also finds that trust vs commitment is an important factor increasing service usage intentions for heavy users vs light users.

• Journal of Distribution Science
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• v.17 no.2
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• pp.101-107
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• 2019

Purpose - The purpose of this study is to analyze the user requirements and developer requirements in virtual reality(VR), and suggest ways to increase the satisfaction of users who experience virtual reality. Specifically, focused on experience store of VR as a distribution retailer, user requirements were analyzed according to the results of previous research that the characteristics of Affordance, Presence, and Head Mounted Display (HMD) affect user satisfaction. Research, design, data, and methodology - Based on previous studies, in this study, we analyzed the importance of immerse, interaction, perception, and presence for the satisfaction of the user through the questionnaire, and the user experiences virtual reality (VR) The importance of HMD, Presence, Affordance, and experience satisfaction were analyzed. Based on this, we analyzed the user requirements and the developer requirements based on the questionnaires and interviews of the experts, starting from the user's desire or preference using QFD technique. Results - As a result of the analysis, the development factors that occupied a big part in the virtual reality field appeared to be visual. In detail, this showed that there was a lack of sense of presence for users. This should be improved. This paper shows that the requirements for visual, auditory, and tactile development are necessary. For the satisfaction of the users of virtual reality (VR) users, it is necessary to develop them according to their priority in consideration of importance and difficulty in the future. Conclusions - In this study, it was suggested that development according to priority should be considered, considering the difficulty level. Based on the results of this study, the following suggestions are made. First, we tried to search the list of user requirements as much as possible, but it is likely to change due to the development of VR technology. Therefore, it is necessary for developers to continually supplement user requirements with recent research literature. Second, development priorities according to difficulty level should be considered. This aspect should be considered in the actual VR development process, so if the numerical value of the difficulty is calculated, it should be presented in the research.

• Journal of the Korea Society of Computer and Information
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• v.27 no.12
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• pp.161-169
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• 2022

With the development of mobile devices and global positioning systems, various location-based services can be utilized, which collects user's location information and provides services based on it. In this process, there is a risk of personal sensitive information being exposed to the outside, and thus Geo-indistinguishability (Geo-Ind), which protect location privacy of LBS users by perturbing their true location, is widely used. However, owing to the data perturbation mechanism of Geo-Ind, it is hard to accurately obtain the density distribution of LBS users from the collection of perturbed location data. Thus, in this paper, we aim to develop a novel method which enables to effectively compute the user density distribution from perturbed location dataset collected under Geo-Ind. In particular, the proposed method leverages Expectation-Maximization(EM) algorithm to precisely estimate the density disribution of LBS users from perturbed location dataset. Experimental results on real world datasets show that our proposed method achieves significantly better performance than a baseline approach.

• Journal of Distribution Science
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• v.14 no.12
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• pp.119-127
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• 2016

Purpose - This study has been conducted based on the assumption that technology acceptance for the traditional markets introduce Augmented Reality Technology system into traditional markets in order to increase the influence on consumer purchasing intention. The Augmented Reality Technology system on this study has been carried out by a modeling study based on Davis(1989)'s Technology Acceptance Model (TAM). Research design, data, and methodology - Before starting the research, we inquired previous researches and defined the basic concept for each research with applying some parts of them. By doing this, we were able to find out if the users had perceived ease of use and the feeling of usefulness for the technology acceptance in using traditional markets. As a result, we measured how efficiently those factors could have an influence on traditional market visit. Moreover, we analyzed the result with actual proofs, assuming that such a visiting intention would affect consumers purchasing intention Results - To summarize the results, first, we have found that the necessity for augmented reality technology for traditional markets and its convenience in use can have a positive effect on visiting traditional markets. Second, we have discovered that the feeling of easiness in use, technological usefulness, and its visiting intention for Augmented Reality Technology can positively influence on the users' purchasing intention. Conclusions - By taking advantage of the research results from this study, the technological acceptance for the traditional markets suggests not only a positive impact on the users' visiting traditional markets but also an influence on the users' purchasing intention for the goods that are sold in the traditional markets. The weak point of this study is that it did not have sufficient theoretical explanation for technological acceptance in traditional markets, and it also lacked theoretical research to apply Augmented Reality Technology to the distribution industry. In order to overcome these drawbacks, we have to conduct thoughtful empirical analysis and research. Lastly, we insist that we will have to carefully verify reliability for the questionnaire data collected by the Internet survey panels in the future.

• Journal of Distribution Science
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• v.10 no.9
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• pp.23-29
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• 2012

Purpose - The main purpose of this study is to find consumers' usage behavior in mobile services. To achieve these research goals, we empirically estimate the relationship between characteristics related to the use and provision of mobile services and factors influencing consumers' intentions. Research design / data / methodology - This study based on TAM, in which behavior is seen as a consequence of affect and intentions and used the theory of consumption values which is a means of explaining user decisions to employ a utilitarian and hedonic facet using by smart phone. Results - The result of the study verified that specific factors, such as expectations about pleasure and monetary value, had the biggest influence on the service usage pattern of mobile consumers. And typically, when consumers are expected to monetary damages, it will be avoided. However, in result of this study, it was found that mobile service users pay a high cost, but they are in pursuit of pleasure and fun. Conclusions - These results, a variety of applications in the mobile service are being provided to users. As information technology has developed, companies should have providing diverse application programs and good quality of services with advanced information technology.

• Science of Emotion and Sensibility
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• v.15 no.1
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• pp.97-104
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• 2012

Recently, a big text data has been produced by users, an opinion mining to analyze information and opinion about users is becoming a hot issue. Of the opinion mining, especially a sentiment analysis is a study for analysing emotions such as a positive, negative, happiness, sadness, and so on analysing personal opinions or emotions for commercial products, social issues and opinions of politician. To analyze the sentiment analysis, previous studies used a mapping method setting up a distribution of emotions using two dimensions composed of a valence and arousal. But previous studies set up a distribution of emotions arbitrarily. In order to solve the problem, we composed a distribution of 12 emotions through carrying out a survey using Korean emotion words list. Also, certain emotional states on two dimension overlapping multiple emotions, we proposed a selection method with Roulette wheel method using a selection probability. The proposed method shows to classify a text into emotion extracting emotion terms from a text.

• Journal of Distribution Science
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• v.21 no.3
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• pp.123-134
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• 2023

Purpose: The no-contact and economic downturn caused by COVID-19 have further grown the used market. The second-hand trading industry has established itself as a popular consumption culture, leading to exponential growth in the size of the market. This study aims to identify the types of shopping motivation for used products targeting Korean consumers, and to examine the relationship between shopping motivations for second-hand transactions, consumption values, and re-use intentions. Research design, data and methodology: The first study was conducted on 63 used trading platform users and the second study was conducted on 441 used trading platform users to identify the types of consumers' motivation for shopping for used products. Results: As a result of the first study, the shopping motivation types of Korean used product consumers were classified into convenience motivation, economic motivation, hedonistic motivation, information Acquisition motivation, and free time utilization motivation. As a result of the second study, it was found that convenience motivation had the greatest influence on functional values and hedonic motivation had the greatest influence on emotional values, and that functional values had a great influence on platform reuse intentions. Conclusions: This study provides practical implications for the establishment of marketing strategies for used trading platforms and academic implications for research related to used trading.

• Journal of Distribution Science
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• v.22 no.9
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• pp.13-25
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• 2024

Purpose: This study explores the complex interplay between service quality, customer engagement, and loyalty in the e-commerce sector, examining the moderating effect of technological adoption on these crucial relationships. Research design, data and methodology: Employing a robust multi-method approach, the research analyzes data from 481 e-commerce users, leveraging the complementary strengths of partial least squares structural equation modeling (PLS-SEM) and fuzzy-set qualitative comparative analysis(fsQCA). Acomprehensive multi-group analysisis conducted to uncover differences between experienced and non-experienced users. Results: PLS-SEM reveals that service quality significantly influences customer engagement, which in turn drives loyalty. Technological adoption positively moderates the service quality-engagement relationship. The multi-group analysis uncovers notable differences between user segments. fsQCA identifies two distinct configurational paths consistently leading to high customer loyalty: high customer engagement and high service quality. Conclusions: This study's innovative integration of PLS-SEM and fsQCA contributes to a deeper understanding of the intricate dynamics driving e-commerce success. Findings provide actionable insights for e-commerce businesses to enhance service quality, foster engagement, and cultivate loyalty. This research lays the groundwork for further exploration of these critical relationships in different contexts, offering a nuanced perspective on the complex interplay of factors shaping customer behavior in the digital marketplace.

• The Korean Journal of Emergency Medical Services
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• v.3 no.1
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• pp.102-115
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• 1999

This study was performed to investigate transport activities and strategize improvement of 119 rescue. We reviewed emergency care records of users who were transported by 119 rescue of six agencies in Chungnam from July 13, 1998 to August 8, 1998. The results were as follows ; 1. In sex distribution of users, the male was 65.0%. And the highest age group among users was above sixties(21.6%), then thirties in second order(19.3%). Accident was 50.8% as occupied first cause of transport, and then acute disease 22.8%. The highest requester for 119 rescue call was patient's families(47.1%) and average number of 119 rescue users per day was 20.9. 2. The nonurgent state of users was 58.9%. The frequency of users was 26.0 persons at sunday in most frequently, weekend and holiday was more common than ordinary day, and most frequent weather state was cloudy(23.8 persons). 3. Total running distance of 119 ambulance was 7.0km in average. Call time by users was 20-24 hours most commonly(21.9%). In then running time by each transport stage, 8 minutes were taken from 119 call receipt to scene arrival, 13 minutes from scene arrival to hospital. The kinds of pre-hospital care by 119 rescuer was vital sign check(81.2%), wound dressing or fracture fixation(41.2%), airway maintenance and O2 supply(30.4%).