• Journal of Distribution Science
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• v.15 no.4
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• pp.69-78
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• 2017

Purpose - The study was AI as exploratory study on artificial intelligence (AI) shopping information services, to explore the possibility of a new business of the distribution industry. For research, we compare to IBM of consumer awareness surveys an AI shopping information service for retailing channel and target goods group. Finally, we present to service scenario for distribution service using AI. Research design, data, and methodology - First, to identify possible the success of the information service shopping using AI, AI technology for the consumer is very important for the acceptance of judgement. Therefore, we explored the possibility of AI information service for business as a shopping. The experimental data were used to interpret the meaning of the relevant literature and the IBM Institute of Business Value (IBV) Report 2015. This research is based on the use of a technical acceptance model (TAM) to determine whether the consumer would adopt the 'AI shopping information service' technology. Step 1 of the process assumes that the consumer adopts AI technology. In step 2, consumers find their preference channels and goods targeted at them as per their preferences. Finally Step 3, we present scenario for 'AI shopping information service' based on the results of Step 1 and 2. Results - Consumers have expressed their high interests in the new shopping information services, especially the on/off line distribution channels can use shopping information to increase the efficiency in provision of goods. Digital channel (such as SNS, online shopping etc.) is especially high value goods such as cars, furniture, and home appliances by displaying it to an appropriate product group. Conclusions - The study reveals the potential for the use of new business models such as 'AI shopping information service' by the distribution industry. We present seven scenario related AI application refer from IBM suggestion, and the findings would enable the distribution industry to approach target consumers with their products, especially high value goods. 'Shopping advisor' is considered to the most effective. In order to apply to the other field of the distribution industry business, which utilizes AI technology, it should be accompanied by additional empirical data analysis should be undertaken.

• Journal of Information Management
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• v.40 no.1
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• pp.183-197
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• 2009

With development of the internet, internet shopping is taking its place as one of digitalization industries transcending time and space beyond the scope of commercial activities as the means of goods sales and purchase. We studied about the relations of customer value, environment of internet shopping mall, customer satisfaction and loyalty. Customer value is customers' subjective evaluation, which is formed after their purchasing and consuming. Customer satisfaction can be characterized as post-purchase evaluation of product quality given pre-purchase expectations. Customer loyalty is a potentiality or ensure of durative relationship between customer and enterprises. Customer satisfaction functions as an antecedent of customer loyalty, while customer value does customer satisfaction. It prevents customer churn and consolidates retention, thereby constituting an important cause of customer loyalty. This study shows that customer value, environment of internet shopping mall and customer satisfaction are each found to have a direct effect on customer loyalty. The results provide empirical support for relation between customer satisfaction and loyalty. To increase customer satisfaction and customer loyalty in internet shopping mall is the primary purpose of this study. We believe that only high quality based customer programs accompanied by well designed loyalty programs can be effective in increasing customer retention.

• Journal of the Korean Society of Clothing and Textiles
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• v.39 no.3
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• pp.379-393
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• 2015

This study proposes a new way to investigate purchasing behavior for preschool children's clothes using an ethnographic research method. The study consisted of 16 subjects composed of preschool children (aged 6 and 7) and their mothers. The analysis results are as follows. First, the in-depth interviews, indicated 14 attributes that mothers considered when purchasing children's clothes. Next, the result of conducting component analysis for consideration attributes indicated that the order of importance of attributes for mothers' opinions varied partially for some attributes (such as price) that depended on if the child was being raised only by the mother or with the help of another person. Second, in the accompanied shopping for the preschool children's clothes, the result of identifying the differences between the perception of consideration attributes and shopping behaviors confirmed some differences between consideration attributes recognized in the interviews and attributes practically considered when purchasing. Housewives (who were the mothers of girls) said that materials and comfort were the most important in the interviews; however, employed mothers of girls perceived design to be the most important attribute. The mothers of girls assessed design as an important attribute that they could never concede. Third, the children's opinions were found to partially influence mothers' purchasing behavior in the purchase of preschool children's clothes. Preschool children expressed their opinions on wearability and design in the process of wearing clothes at home or buying them outside; subsequently, mothers recognized children's opinions and reflected them in their practical purchases.

• Fashion & Textile Research Journal
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• v.16 no.6
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• pp.879-887
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• 2014

Consumers often act impulsively when making internet purchases. Triggered by easy access to products, lack of social pressure, and absence of delivery impediments, impulse buying frequently occurs in the context of internet shopping. This study tests the structural equation model of the impulse buying process for fashion products when internet shopping and examines impulse buying process differences between Korean and Chinese consumers. A total of 985 usable questionnaires were obtained from college students. Data were analyzed by structural equation model analysis using a correlation matrix with a maximum likelihood by AMOS 21.0. Results showed that increased internet browsing by consumers resulted in more impulse buying as mediated by the urge to buy; in addition, more impulse buying by consumers resulted in a higher consumer satisfaction experience. Pure impulse buying created more important antecedents of satisfaction than the promotion-oriented impulse buying. Impulse buying showed a high similarity between Korean and Chinese consumers; however, increased influence from promotion activities resulted in more fashion product impulse buying for Chinese consumers versus Korean consumers. We confirm that one of the outcomes of the impulse buying process is impulse buying product satisfaction. Korean and Chinese consumers also present similarities and differences in fashion product impulse buying. A managerial implication is discussed for retailers of fashion products to develop strategies to increase consumer browsing and subsequently trigger impulse buying accompanied with consumer satisfaction.

• Journal of Fashion Business
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• v.3 no.3
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• pp.1-14
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• 1999

This study is to analyze consumer's visiting fashion trade area. The purpose of this study, focused on Taegu fashion area, Dongsungro and Bum udong, consumer's spatical beravior, fashion- life-style, clothing purchasing type and Store- Image, etc. This study targeted 580 women aged from 15 to 25 visiting fashion trade area. The methods of measuring include consumer behavior scale, fashion life style scale, clothing purchasing type scale and Stor - Image scale. In process of statistics, the frequency was used to measure consumer's spatical behavior, MANOVA to measure, fashion life style and $\chi^2$ examination was employed to measure clothing purchasing type. The followings are the conclusions of this study ; 1. consumer's spatical behavior by FTA(fashion trade area) : Most people visiting Dongsungro A trade area and Bum udong trade area depart home, while Dongsungro B trade area from school. In case of Bum udong trade area, in particular, more people move from other trade area than people do in Dongsungro trade area. 2. Consumer spatical behavior means by FTA : Bus is far most common transportation. 3. The purpose of visit by FTA : Most people visit Dongsungro B trade area for shopping, while Bum udong trade area for shopping and as a place for appointment. 4. The visiting frequency by FTA : In case of both Dongsungro A.B trade area and Bum udong trade area, at least once a week is most common. Particularly in case of Bum udong trade area, the number of people visiting once every three months and once more than six months is almost same. 5. A company by FTA : People accompanied by the same sex friends are most common in Both Dongsungro A, B trade area and Bum udong trade area in case of Dongsungro B trade area. There is no case of people accompanied by family. 6. The purpose of purchasing fashion comodities by FTA : In case of Dongsungro A trade area for recreation. In case of Dongsungro B trade area and Bum udong trade area, because of affordable price. 7. A Brand - pursued tendency by FTA : Much higher in Dongsungro trade area than Bum udong trade area, among consumers. A character - pursued tendency by FTA : Higher in Dongsungro A than Dongsungro B,A practical tendency and symphatetic tendency Higher in Dongsungro B than Dongsungro A or Bum udong trade area. 8. A Store - Image scale by FTA : The quality of goods is more important to consumers in Dongsungro B than to consumers in Dongsungro A. The data - service and atmosphere are much more important to consumers in Dongsungro B than to consumers in Dongsungro A and Bum udong trade area. The convenience is more important to consumers in Dongsungro B Bum udong trade area than to consumers in Dongsungro A. 9. There is no significant difference among clothing purchasing types by FTA.

• Journal of the Korean Home Economics Association
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• v.34 no.3
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• pp.47-57
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• 1996

Ther purpose of this study was to investigate the perceptual differences in brand images of national medium-low price casual clothing according to purchase volume and brand loyalty. Additionally, differences between Seoul and County of Chungnam in purchase volume of each brand of medium-low priced casual, information source and companion in purchasing the brands were analyzed. The questionnaires were administered to 540 college student living in Seoul and County of Chungnam, and the method used to analyze the data were frequency, factor analysis, and t-test. The results were as follows: 1) Perceptual mapping showed that preference ranks among the six brands were same regardless of purchase volume and brand loyalty, but heavy users and loyal consumers to medium-low priced casual brands had more favorite brand image than light users and non loyal consumers. 2) Those who live in County of Chungnam purchased all six brands more than those who love in Seoul with the exception of Hunt. Information sources such as catalogs and celebrity were more used in County of Chungnam. Most accompanied shopping alone both in Seoul and County of Chyngnam, however family members were more influential in Seoul, whereas the same sex friends were in County of Chyngnam.

• The Journal of Bigdata
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• v.8 no.1
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• pp.131-156
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• 2023

The traditional retail industry significantly changed over the past decade due to the mobile and online technologies. This change has been accompanied by a shift in consumer behavior regarding purchasing patterns. Despite the rise of online shopping, there are still specific categories of products, such as "Processed food" in Mongolia, for which traditional shopping remains the preferred purchase method. To prepare for the inevitable future of retail businesses, firms need to closely analyze the performance of their offline stores to plan their further actions in a new multi-channel environment. Retailers must integrate diverse channels into their operations to stay relevant and adjust to the shifting market. In this research, we have analyzed the performance data such as sales, profit, and amount of sales of offline stores by using clustering approach. From the clustering, we have found the several distinct insights by comparing the circumstances and performance of retail stores. For the certain retail stores, we have proposed three different strategies: a fulfillment hub store between online and offline channels, an experience store to elongate customers' time on the premises, and a merge between two non-related channels that could complement each other to increase traffic based on the store characteristics. With the proposed strategies, it may enhance the user experience and profit at the same time.

• Journal of the Korean association of regional geographers
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• v.21 no.2
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• pp.304-318
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• 2015

As the number of foreigners who stay for a long time increases, their residential concentrations have emerged and developed. This research aims at investigating how and why immigrants' residential concentration sustains and develops. In order to understand the roles of the residential concentration for the immigrants' everyday, we used the framework of grunddaseins funktionen including residence, labor, shopping, education, leisure, commuting, and community activity. Accompanied is a case study of Daelim-dong which is the largest Chinese concentrations. The result shows that combined with co-ethnic preference in residence, various amenities at the concentrations attract new immigrants and hold existing immigrants, allowing the concentrations sustain and develop. It has been pointed out that there are the difference factors that foreign immigrants concentrate residentially: 'co-ethnic residential preference' for immigrants from more developed countries and 'discrimination' for immigrants from less developed countries. However this study shows that the residential concentrations for less-developed-country-immigrants could maintain and develop with grunddaseins funktionen based on co-ethnicity.

• Asia pacific journal of information systems
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• v.22 no.4
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• pp.7-29
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• 2012

Smartphone and its applications (i.e. apps) are increasingly penetrating consumer markets. According to a recent report from Korea Communications Commission, nearly 50% of mobile subscribers in South Korea are smartphone users that accounts for over 25 million people. In particular, the importance of smartphone has risen as a geospatially-aware device that provides various location-based services (LBS) equipped with GPS capability. The popular LBS include map and navigation, traffic and transportation updates, shopping and coupon services, and location-sensitive social network services. Overall, the emerging location-based smartphone apps (LBA) offer significant value by providing greater connectivity, personalization, and information and entertainment in a location-specific context. Conversely, the rapid growth of LBA and their benefits have been accompanied by concerns over the collection and dissemination of individual users' personal information through ongoing tracking of their location, identity, preferences, and social behaviors. The majority of LBA users tend to agree and consent to the LBA provider's terms and privacy policy on use of location data to get the immediate services. This tendency further increases the potential risks of unprotected exposure of personal information and serious invasion and breaches of individual privacy. To address the complex issues surrounding LBA particularly from the user's behavioral perspective, this study applied the privacy calculus model (PCM) to explore the factors that influence the adoption of LBA. According to PCM, consumers are engaged in a dynamic adjustment process in which privacy risks are weighted against benefits of information disclosure. Consistent with the principal notion of PCM, we investigated how individual users make a risk-benefit assessment under which personalized service and locatability act as benefit-side factors and information privacy risks act as a risk-side factor accompanying LBA adoption. In addition, we consider the moderating role of trust on the service providers in the prohibiting effects of privacy risks on user intention to adopt LBA. Further we include perceived ease of use and usefulness as additional constructs to examine whether the technology acceptance model (TAM) can be applied in the context of LBA adoption. The research model with ten (10) hypotheses was tested using data gathered from 98 respondents through a quasi-experimental survey method. During the survey, each participant was asked to navigate the website where the experimental simulation of a LBA allows the participant to purchase time-and-location sensitive discounted tickets for nearby stores. Structural equations modeling using partial least square validated the instrument and the proposed model. The results showed that six (6) out of ten (10) hypotheses were supported. On the subject of the core PCM, H2 (locatability ${\rightarrow}$ intention to use LBA) and H3 (privacy risks ${\rightarrow}$ intention to use LBA) were supported, while H1 (personalization ${\rightarrow}$ intention to use LBA) was not supported. Further, we could not any interaction effects (personalization X privacy risks, H4 & locatability X privacy risks, H5) on the intention to use LBA. In terms of privacy risks and trust, as mentioned above we found the significant negative influence from privacy risks on intention to use (H3), but positive influence from trust, which supported H6 (trust ${\rightarrow}$ intention to use LBA). The moderating effect of trust on the negative relationship between privacy risks and intention to use LBA was tested and confirmed by supporting H7 (privacy risks X trust ${\rightarrow}$ intention to use LBA). The two hypotheses regarding to the TAM, including H8 (perceived ease of use ${\rightarrow}$ perceived usefulness) and H9 (perceived ease of use ${\rightarrow}$ intention to use LBA) were supported; however, H10 (perceived effectiveness ${\rightarrow}$ intention to use LBA) was not supported. Results of this study offer the following key findings and implications. First the application of PCM was found to be a good analysis framework in the context of LBA adoption. Many of the hypotheses in the model were confirmed and the high value of $R^2$ (i.,e., 51%) indicated a good fit of the model. In particular, locatability and privacy risks are found to be the appropriate PCM-based antecedent variables. Second, the existence of moderating effect of trust on service provider suggests that the same marginal change in the level of privacy risks may differentially influence the intention to use LBA. That is, while the privacy risks increasingly become important social issues and will negatively influence the intention to use LBA, it is critical for LBA providers to build consumer trust and confidence to successfully mitigate this negative impact. Lastly, we could not find sufficient evidence that the intention to use LBA is influenced by perceived usefulness, which has been very well supported in most previous TAM research. This may suggest that more future research should examine the validity of applying TAM and further extend or modify it in the context of LBA or other similar smartphone apps.