• Journal of the Korea Society of Computer and Information
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• v.29 no.4
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• pp.155-160
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• 2024

Weather indexes such as temperature, humidity, wind speed and air pressure have been studied for diverse life-related factors: Food poisoning, discomfort, and others. In that, the Korea Meteorological Administration(KMA) has been released indexes such as 'Life industrial weather information', 'Safety weather information', and even 'picnic weather information' that shows how an weather like to enjoy picnic. Those weather-life effects also reveal on shopping preference such as an weather affects offline shopping purchase behaviors especially big-marts because they have outside leisure activity attribute However, since online shopping has not physical attribute, weather factors may not affect on same way to offline. Although previous researches have focused on psychological factors that have been utilized in marketing criteria, this research utilize KMA weather dataset that affects psychological factors. This research utilize 1,033 online survey for SEM analysis to clarify relationships between weather factors and online shopping purchase behaviors. As a result, online purchase intention is affected by temperature and humidity.

• Journal of the Korean Home Economics Association
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• v.48 no.1
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• pp.67-81
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• 2010

Consumer researchers found that compulsive buying was a part of a category of compulsive consumption that was interrelated to addictive and repetitive behaviors. The present study empirically examined the co-morbidity of compulsive buying and Internet addiction among e-commerce users in terms of consumption disorders. Although the prevalence of Internet use and on-line sales remarkably increase in recent years, almost no study examines on-line compulsive buying behavior. This study explored the link between compulsive buying and Internet addiction among e-commerce users, and investigated the characteristics of on-line shoppers with respect to two forms of compulsive consumption, which were divided into compulsive buying and Internet addiction. Additionally, factors that related to compulsive buying behaviors among e-commerce users were also examined. The present research was conducted using a convenience sample of 394 young adults between the ages of 20-30, and the Faber and O'Guinn's DSCB scale and the Widyanto's Internet addiction scale (IA) were used. Confirmatory factor analyses were utilized to evaluate the structure of the DSCB and IA, and a Probit model was used to examine determinants for the compulsive buying behaviors of e-commerce users. E-commerce users were classified into four groups; high compulsion and high addiction, low compulsion and low addiction, high compulsion and low addiction, and low compulsion and high addiction. Consumers with high compulsion and high addiction spent higher amounts of money on their on-line purchases and were frequently connected with the Internet compared to the three other consumer groups. Consumers with compulsive buying behaviors were also found to have significantly greater Internet addiction tendencies than typical buyers. Compulsive buyers were more likely to engage in Internet addiction and the number of purchasing via on-line shopping mall, and had higher materialism. Policy implications and suggestions for consumer education programs were discussed.

• Journal of Digital Convergence
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• v.15 no.10
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• pp.183-191
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• 2017

This study tries to explain the relationships among omni-channel service characteristics, utilitarian/hedonic shopping value, and reuse intention. We derive instant connectivity, localization, consistency, integration, privacy risk as omni-channel service characteristics from previous studies and collect data from 190 omni-channel service users. The major findings are as follows. First, localization, consistency, and privacy risk have a significant effect on utilitarian shopping value but no significant effect on hedonic shopping value. Second, instant connectivity and integration have a positive effect on both utilitarian and hedonic value. Third, utilitarian and hedonic shopping value have a positive effect on reuse intention. This study extends the scope of omni-channel consumer behaviors by focusing on multi-dimensionality of shopping value. The results of this research can provide useful implications for practitioners to build successful strategies on omni-channel service.

• Fashion & Textile Research Journal
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• v.15 no.5
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• pp.763-776
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• 2013

This study investigated the uncertainty, regret experience, and negative behavior intention of fashion consumers according to the types of internet shopping malls. The data was obtained from internet fashion consumers, and 394 responses were used in the data analysis. The statistical analysis methods were frequency analysis, factor analysis, reliability analysis, t-test, ANOVA, and regression analysis. As results, the uncertainty of internet fashion consumers was composed of two factors; information uncertainty and preference uncertainty. The regret experience was composed of function or service regret, suitability regret, and product regret. Also, the negative behavior intention was composed of purchase switching intention and purchase deferral intention. The information uncertainty of fashion consumers positively affected the negative behavior intention in all types of internet shopping malls (e.g., open market, integrated shopping mall, and fashion specialized shopping mall). In open market, the preference uncertainty negatively affected the purchase switching intention; however, the preference uncertainty positively affected the purchase deferral intention. In open market and fashion specialized shopping mall, the product regret of internet fashion consumers positively affected the negative behavior intention. In addition, there were partially significant differences in the factors of uncertainty, regret experience, and negative behavior intention by gender and marital status of demographic characteristics. The results of this study will provide useful information to the marketing strategies considering fashion consumer's negative emotion and behaviors according to the types of internet shopping malls.

• Fashion & Textile Research Journal
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• v.10 no.6
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• pp.907-916
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• 2008

The purposes of this study were to examine the consumer beliefs on the wrongness and occurrence of unethical behaviors in retail settings, to examine the differences in unethical beliefs by consumer characteristics, and to examine the effects of anomie on unethical beliefs. A total of 609 questionnaires collected from a consumer survey were analyzed. Results revealed that respondents tended to perceive illegal activities as the most unethical and the least prevalent behaviors and downloading intellectual properties as the least unethical and the most prevalent behaviors. There were differences by age, marital status, occupation, and education in the four dimensions of unethical beliefs including actively benefiting from illegal/deceiving activities, passively benefiting at the expense of the seller, no harm/no foul, and common but questionable actions. Partial differences were observed by shopping frequency and return experience. Valuelessness of anomie affected actively benefiting from illegal/deceiving activities and no harm/no foul.

• Journal of Korean Society of Transportation
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• v.32 no.3
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• pp.187-197
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• 2014

The objective of this study is to analyze the travel behaviors of customers accessing to three different types of shopping facilities - traditional markets(TM), hyper markets(HM), and super supermarkets(SSM) - and also to find out the most desirable location for each type of shopping facilities that encourage sustainable transportation and smart urban growth. It also demonstrates what mode has the highest percentage of modal split and what is the access distance for public transport mode by each shopping facilities (SSM: 84.5% walking and 667m, TM: 20.1% bus and 1.6km, HM : 46.2% private car and 4.2km). Among TM, HM, and SSM, statistically significant differences are found in terms of mode choices and other associated travel behaviors. The research findings are expected to contribute to finding future urban planning and transportation solutions that promote walking and public transit uses for shopping trips and thus help support green transportation and sustainable urban growth.

• The Journal of Information Systems
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• v.19 no.3
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• pp.13-34
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• 2010

As consumers participate in sharing their experiences, they become a powerful information source in online shopping malls. Previous studies have investigated information service in the company-created information perspective and trust in the company perspective. This study extends the perspective of company-consumers to consumers-consumer perspective in information satisfaction and trust. Also, this study suggests loyalty as voluntary behaviors and adds helping behavior to the loyalty. Our results show that information satisfactions influence trust in the information sources such as company and consumers. Moreover, trust in company and trust in consumers influence loyalty differently. While trust in company influences recommending stronger than trust in consumers, trust in consumers influence helping and repurchasing stronger than trust in company.

• Proceeding of Spring/Autumn Annual Conference of KHA
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• 2009.04a
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• pp.258-263
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• 2009

This study has the purpose to reveal the differences of residents' using behaviors and patterns of living facilities at new 3 residential areas in the middle-sized city. The 3 residential areas had differentiated development concepts; (1) residential area in the downtown, (2) government-residence compound area in the downtown, and (3) industry-residence compound area in the outskirts. Followings are the results of the study. 1) The shopping facilities, banking facilities, public open facilities with high using level are planned in proper places. 2) The using pattern of shopping facilities show a improper pattern. Therefore it is necessary to plan the shopping facilities to induce the resident to change the proper using pattern.

• Fashion & Textile Research Journal
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• v.3 no.2
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• pp.148-155
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• 2001

The purpose of this study was to segment the clothing customers of new traditional market according to shopping orientation and to clarify the different clothing behaviors among segmented groups. This study may be useful for new traditional marketer to make proper marketing strategies. The subjects for the final analysis were 400 customers who visited Namdaemoon and Dongdaemoon new traditional markets. The statistics used for analysis were factor analysis, cluster analysis, Cronbach-${\alpha}$, one-way ANOVA, LSD multiple range test and chi-square by the SPSS program. The results of this study were as follows: 1. The customers of new traditional market were segmented to 5 groups (Diffidence Group, Confidence/Information Group, Active Group, Shop/Brand Loyalty Group and Planned Purchasing Group); 2. The five segmented groups were significantly different in clothing evaluation standards, shop evaluation standards, satisfaction and demographic variables such as sex, age, education and monthly spending money.

• Asia pacific journal of information systems
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• v.15 no.1
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• pp.63-79
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• 2005

Recommender systems are a personalized information filtering technology to help customers find the products they would like to purchase. Collaborative filtering is known to be the most successful recommendation technology, but its widespread use has exposed some problems such as sparsity and scalability in the e-business environment. In this paper, we propose a recommendation system, WebCF-PT based on Web usage mining and product taxonomy to enhance the recommendation quality and the system performance of traditional CF-based recommender systems. Web usage mining populates the rating database by tracking customers' shopping behaviors on the Web, so leading to better quality recommendations. The product taxonomy is used to improve the performance of searching for nearest neighbors through dimensionality reduction of the rating database. A prototype recommendation system, WebCF-PT is developed and Internet shopping mall, EBIB(e-Business & Intelligence Business) is constructed to test the WebCF-PT system.