• Journal of Korea Society of Industrial Information Systems
• /
• v.18 no.5
• /
• pp.93-105
• /
• 2013

This paper mainly focuses on comparison analysis of the quality factors targeted at one shopping mall web site in Korea and China. There are a total of 14 hypothesis, and we use the SAS 9.2 statistical package tool. The survey to verify those hypothesis is filled out by 519 voluntary participants. The following describes the results that are found. The shopping mall web site of two countries shows a difference in terms of design, communication, community, commercialization, security, customer satisfaction, repurchase intention, contents, e-commerce, customer loyalty, interaction, technology, reliability, and size. Therefore, we suggest how to implement more effective shopping mall websites based on those 14 factors.

• Journal of the Korean Operations Research and Management Science Society
• /
• v.42 no.2
• /
• pp.1-17
• /
• 2017

Based on increased popularity and use of social network services as a marketing tool, social commerce became an emerging trend in e-commerce platforms. Social commerce involves sellers offering potential consumers the products and services at a lower price in a limited time period. Through comparison of the performances of domestic social commerce websites, we found that the buying environment such as price, number of available products, and the remaining time period for sale has a significant difference influencing on the purchase decisions of consumers. This study aims to analyze the interaction effects and preference levels of four characteristics (price, discount rate, number of purchases and purchase time) by conducting choice-based conjoint analysis. Survey experiment was performed using a sample of 146 undergraduate and graduate students. The results showed that consumers importantly consider purchase time, discount rate, price, number of purchases in the order of their preference. Also, discount effect is more significant on purchase decisions than price effect and consumers distinguish less the differences among the buying environment characteristics in the closing days of purchase period. Customer segmentation using the preference levels of characteristics indicates that the preference levels have different effects in the purchase utility of each segment. The proposed customer segmentation and differences in feature utilities are expected to be valuable in forming future sales promotion strategies in social commerce.

• International Journal of Computer Science & Network Security
• /
• v.21 no.9
• /
• pp.63-66
• /
• 2021

The technological advancement in computer vision has made system like grab-and-go grocery a reality. Now all the shoppers have to do now is to walk in grab the items and go out without having to wait in the long queues. This paper presents an intelligent retail environment system that is capable of monitoring and tracking customer's activity during shopping based on their interaction with the shelf. It aims to develop a system that is low cost, easy to mount and exhibit adequate performance in real environment.

• Asia Marketing Journal
• /
• v.21 no.4
• /
• pp.1-24
• /
• 2020

The current research brings the spotlight onto customer Gapjil toward service employees. In an attempt to understand what brings Gapjil, the present article investigates the intertwined effects of perceived economic mobility (PEM), self-other referent priming (SORP), and temporal focus on Gapjil. Study 1 shows that PEM increases Gapjil among self-referent primed people, but not among other-referent primed people. Study 2 examining the role of temporal focus (present vs. future) reveals that the effect found in study 1 is replicated in the present focus, but the effect is reversed in the future focus. We explain this dynamic pattern of the 3-way interaction effect with a relative gratification and a motivation to attune the self to the perceived norm of the high class. We also discuss how to create a social atmosphere to lessen Gapjil in public and corporate communication strategies.

• The Journal of Economics, Marketing and Management
• /
• v.12 no.4
• /
• pp.37-49
• /
• 2024

Purpose: This research is motivated by the rise of live-streaming commerce in service industries, aiming to explore factors affecting service product purchases in live-streaming commerce. Extracted independent factors include information provision, vicarious experience, social interaction, visibility, and emotional transmission. Additionally, this study aims to discern the moderating effect of brand reputation in the relationships between independent factors and customer intention to purchase service products in live-streaming commerce. Research design, data and methodology: This study employed a questionnaire survey to collect data and analyzed collected data with statistical analysis methods, including exploratory factor analysis and multiple regression analysis. Results: The analysis results say three factors significantly influenced purchase intentions in live-streaming commerce: information provision, emotional transmission, and price discount. Brand reputation also significantly affects customers' intention to buy service products in live-stream commerce.

• Journal of Intelligence and Information Systems
• /
• v.29 no.1
• /
• pp.41-63
• /
• 2023

As the online e-commerce market growing, the need for a recommender system that can provide suitable products or services to customer is emerging. Recently, many studies using the sentiment score of online review have been proposed to improve the limitations of study on recommender systems that utilize only quantitative information. However, this methodology has limitation in extracting specific preference information related to customer within online reviews, making it difficult to improve recommendation performance. To address the limitation of previous studies, this study proposes a novel recommendation methodology that applies deep learning technique and uses various linguistic factors within online reviews to elaborately learn customer preferences. First, the interaction was learned nonlinearly using deep learning technique for the purpose to extract complex interactions between customer and product. And to effectively utilize online review, cognitive contents, affective contents, and linguistic style matching that have an important influence on customer's purchasing decisions among linguistic factors were used. To verify the proposed methodology, an experiment was conducted using online review data in Amazon.com, and the experimental results confirmed the superiority of the proposed model. This study contributed to the theoretical and methodological aspects of recommender system study by proposing a methodology that effectively utilizes characteristics of customer's preferences in online reviews.

• International Commerce and Information Review
• /
• v.18 no.4
• /
• pp.55-78
• /
• 2016

In this study, service quality attributes of uTradeHub were classified based on the Kano model, and quality attributes that should be managed in priority to improve the service quality of uTradeHub were investigated using Timko's customer satisfaction coefficient(CSC) and average satisfaction coefficient(ASC). The results of the study are summarized as follows. First, as a result of classifying service quality attributes based on Kano model, 12 one dimensional qualities, 5 must-be qualities, 2 indifferent qualities were deducted, and many quality attributes of uTradeHub service were confirmed to be one dimensional quality to which is needed to be paid attention and paid more detailed attention to enhance service quality. Second, in the analysis result using Timko's customer satisfaction coefficient, "post processing for problems and complaints", "cost reduction", "efficiency of business processing" were ranked in the top of satisfaction coefficient, and they found to be quality attributes that customer satisfaction increases when service quality was satisfied. While, "post processing for problems and complaints", "interaction", "ability to respond promptly when problems occur" were ranked in the top of unsatisfaction coefficient, and they were analysed to be quality attributes that customer complaints increase when service quality was unsatisfied. Third, in the result of analyzing the quality attributes that should be managed in priority to improve the service quality of uTradeHub based on the average satisfaction coefficient(ASC), "post processing for problems and complaints", "cost reduction", "useful information" were ranked in the top 3, and they were classified as quality attributes that the satisfaction level increases more when they are improved than now, but the satisfaction level decreases when they are worsen.

• Journal of the Korea Safety Management & Science
• /
• v.16 no.3
• /
• pp.411-420
• /
• 2014

The purpose of this paper is to examine the effects of customer perception about service physical evidence and process quality by liquor wholesaler on customer satisfaction and maintaining business relationship. Also this paper tries to find out the moderating effect of relational duration on those service qualities and deal satisfaction. Based on the responses from 53 stores, the result of multiple regression analysis appears as follow that (1) the perception of intangible service quality is positively related to deal satisfaction, (2) deal satisfaction is positively related to maintaining business, and (3) the interaction of relational duration and each perception of service qualities is significant.

• Management & Information Systems Review
• /
• v.38 no.3
• /
• pp.211-225
• /
• 2019

In recent years, consumers emphasize the various sensory experiences in the process of shopping rather than the practical value of shopping results. In order to satisfy consumers' diverse needs, retailers transform their offline stores into experiential spaces to encourage consumers to experience diverse and enjoyable experiences. This study divided the sub-factors of customer experience into hedonic experiences, functional experiences, and social interaction experiences, and investigated the effect of sub - factors of customer experience on consumers' enjoyment and intention to stay in off-line store. In addition, it is assumed that there will be a difference in the influence of three levels of customer experience on enjoyment according to the consumer's self-construal levels. As a result of this study, all of the hypotheses were supported except hypothesis 1 that the customer's hedonic experience has a positive effect on pleasure. In addition, as a result of verifying the moderating effect of self-construal levels, the self-construal level of consumers has no significant effect on the path of hedonic experiences on pleasure, but significant moderating effects of self-construal levels were identified in the pathways of functional and social interactive experiences on pleasure. The results of this study will be helpful in identifying and utilizing differentiated experience marketing strategies in the off-line stores that only offline channels can have in the fierce competition due to the diversification of distribution channels.

• Journal of the Korean Society of Clothing and Textiles
• /
• v.26 no.6
• /
• pp.923-934
• /
• 2002

The aim of this study is to suggest a Sizing System which has following points:- 1. In order to satisfy children of diverse figure shapes, we developed sizing system for three different figure type. Figure types are categorized into slim, normal, fat type based on the Rohrer Index. 2. For each figure types, we developed size chart using height bust circumference and hip circumference as basic measurements. The size codes are presented as the height-bust circumference or height-hip circumference. The size interval of height is 5cm for all figure types, such as 120,125,130 ‥‥ we developed a size allocation program, which is helpful when a customer doesn't know exact measurement of some body dimension. If a customer input measurements as much as he/she hows, the program allocates the nearest. At the end of the study, the sizing interaction sites were developed to present the results of the study clear.