• Korean Management Science Review
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• v.32 no.4
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• pp.135-153
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• 2015

In this paper, we intend to understand distinguishable SNS technology contributions for B2C commerce. In order to theorize this, we draw upon Technology-to-Performance chain (TPC) theory to develop the model that could explain how the technology value of the SNS could be realizable. For the purpose of capturing SNS technology effect to B2C channel effectiveness, on the basis of TPC theory, personal productivity is selected as a performance variable instead of satisfaction from SNS usage. Accordingly, as the antecedents of personal productivity, two variables of locatability and timeliness are extracted to reflect Task-technology-fit (TTF) dimension of performance precursors. For the utilization dimension of TPC framework, convenience and recreation tendency of the personal traits in shopping are included as the precursors of SNS utilization in the sense of reflecting utilitarian and hedonic value of SNS adoption. Empirical validation is conducted with reference to promotion and sales event on Facebook, which is chosen as the typical SNS based B2C commerce scenario. The data analysis result provide useful insights to further investigate the firm's SNS usage potentials for business applications.

• Journal of Industrial Convergence
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• v.21 no.11
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• pp.1-12
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• 2023

With the recent explosive popularity of SNS, it is increasingly important to utilize SNS marketing, and in this process, the importance of image and caption order in SNS layout is also growing. This research aims to analyze the impact of SNS layouts (Image First vs. Caption First) on the user's attitude toward SNS shopping. A survey was conducted targeting 350 general public and college(graduate) students living in Daegu City and Gyeongbuk Province. The data was analyzed using PROCESS, regression analysis, and t-test by SPSS 21.0 program. The result of this study, it was confirmed that the Image First was more accessible than the Caption First. The Caption First was confirmed to be more diagnostic than the Image First. Moreover, from three specific mediation paths, only two were confirmed, named is through diagnosticity and usefulness, and through accessibility, diagnosticity, and usefullness. The path through diagnosticity and usefulness were stronger than another. Additionally, the impact of accessibility on diagnosticity was found to be higher when involvement was high rather than when involvement was low.

• Journal of Distribution Science
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• v.17 no.7
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• pp.27-38
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• 2019

Purpose - This study analyzes effects of word of mouth intention of restaurant product via SNS on trust of products, purchase intention, and word of mouth intention targeting restaurant customers. Research design, data, and methodology - Targeting restaurant customers, 500 surveys were distributed in restaurants located in Seoul (where restaurants are clustered, such as Myeongdong, Dongdaemoon Station Shopping Center, and Sadangdong) between July 1st, 2016 and July 30th, 2016. Among those, 490 were collected, and 478 were used for analysis excluding those with no answer or insincere answers. Results - SNS word of mouth information characteristics had significant effects on trust of restaurant product in the order of vividness, neutrality, and timing. Trust on restaurant product has significant effect on perceived risks (-) and perceived benefits (+) by SNS. While perceived benefits of restaurant product on SNS has effect on purchase intention, perceived risks of restaurant product on SNS does not affect purchase intention. Perceived benefits of restaurant product on SNS has significant effect on word of mouth intention, whereas perceived risks of restaurant product on SNS does not have significant effect on word of mouth intention. Conclusions - As marketing through SNS can bring about a huge reduction effect in terms of marking cost, it can be utilized as an effective promotion by not only large restaurant corporations, but also small restaurants.

• The Journal of Economics, Marketing and Management
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• v.12 no.1
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• pp.65-75
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• 2024

Purpose: Through this study, first, we try to understand the characteristics of SNS beauty advertising using SNS. Second, focusing on S-O-R Theory, we aim to confirm the impact of SNS beauty advertising characteristics on positive emotions, commitment, and voluntary word-of-mouth intentions. Third, we intend to suggest measures related to effective SNS beauty advertising operation. Research design, data and methodology: To analyze the data collected of 308 questionnaires, the SPSS and AMOS statistical program was used, and the SNS beauty advertising characteristics were reclassified after analyzing the credibility and validity of the responses. Results: It was found that all SNS beauty advertising characteristics (interactivity, entertainment, credibility, and irritation) had a significant effect on positive emotions. However, entertainment and irritation did not have a significant effect on commitment. In addition, it was found that positive emotions had a positive effect on commitment, and commitment had a positive effect on voluntary word-of-mouth intentions, and positive emotions had no significant effect on voluntary word-of-mouth intentions. Conclusions: In order to improve consumers' commitment in SNS beauty advertising, it is important to secure trust through interaction, and it is judged that the more commit in SNS beauty advertising through positive emotions, the more spontaneous and positive word-of-mouth effect can be created.

• Journal of Fashion Business
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• v.23 no.5
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• pp.111-123
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• 2019

The objective of this study is to provide basic marketing data that is useful for domestic cosmetics companies by investigating purchase decision factors in cosmetics shopping. To this end, a mobile survey was conducted with a total of 300 men and women, aged 20-30, residing in Seoul and the surrounding Gyeonggi province. The collected data was analyzed by using SPSSWIN 21.0. Next, frequency analysis, factor analysis, reliability analysis, descriptive statistical analysis, correlation analysis and multiple regression analysis were performed. The results outlined consumer's purchase decision factors and suggest retailers should focus on services, such as additional events and samples, convenience of the shop itself, training salespeople to be kind and informative, promotion and services by carefully choosing models and celebrities to advertise and encourage impulse purchases, increasing product quality, improving their reputation in SNS, improve the perceived reliability of the shop by stocking famous brands prominently, advertisement, promotion and being reliably trendy and being reliably trendy. However, product loyalty was not an important factor consumers aged 20-30, these people are using SNS a lot so buy a wide variety of products. In this way, the cosmetics companies should establish marketing strategies in line with consumer habits.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.20 no.5
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• pp.1-7
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• 2020

We can build regular customer relationships combining SNS (social networking service) with shopping mall like offline trade. A customer who once purchased is registered as reaular and the relationship continues afterward. The registered regular customer get sthe information about objective product shipment and besides it, he contacts with a story of frams, growth of vegetables, sows to harvests. Consumer can purchase with one click necessary foods as he looks at timeline. Sellers give information about news. discounts to customers. Besides it, food storages, recipes can be given to consumers. The good point here is that selling and promoting can be performed within one account. This is better than link is provided for selling an promoting separately. Like this, besides personal connections using SNS, categorization function gives consumers on line shopping mall service. Once the consumer purchase, he is registered as regular. Besides, the consumers who do not know each other, can share information, suggest products, spread the news.

• The Research Journal of the Costume Culture
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• v.28 no.3
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• pp.313-329
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• 2020

Social Network Services (SNS) have become a vital means of shopping, significantly influencing consumers' purchases of fashion products. The aim of this study was to identify bandwagon consumption among fashion consumers and to analyze the effects of bandwagon consumption on negative emotions, purchase discontinuation, and switching intention. A survey questionnaire was developed, and data were obtained from 285 female consumers in Korea aged in their 20s and 30s who had experienced guilt, regret, or disappointment after purchasing fashion products using SNS during the previous six months. The survey results indicated four different types of band- wagon consumption: intentional, impulsive, unintentional, and planned. The presence of negative emotions such as guilt, disappointment, and regret were affected by different types of bandwagon consumption. Intentional bandwagon consumption only affected guilt, while unintentional bandwagon consumption affected both guilt and disappointment. Impulsive bandwagon consumption affected guilt and regret; however, planned bandwagon consumption only affected regret. Furthermore, negative emotions affected purchase discontinuation and switching intention. Planned bandwagon con- sumption had an effect on both purchase discontinuation and switching intention, while both impulsive and unintentional bandwagon consumption influenced switching intention only. Intentional bandwagon consumption had no effect on either purchase discontinuation or switching intention. The results of this study indicate that SNS consumers' bandwagon consumption causes different negative emotions, purchase discontinuation, and switching intention.

• Human Ecology Research
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• v.59 no.4
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• pp.449-463
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• 2021

The aim of this study was to analyze the perceptions and entering status of small business online fashion retailers on portal shopping and fashion shopping malls. Case studies were conducted on a total of 10 research samples. The results were as follows: first, regarding the strategic factors of online fashion stores, 'price competitiveness' is important, especially in portal shopping and low-cost brands; 'product assortment' is important but not essential in all platforms; and 'differentiation' is important to continuously secure loyal customers in fashion shopping malls. Customer satisfaction leads to customer loyalty, and customer loyalty affects the sales conversion rate and brand growth of online sales channels. Factors that promoted sales activities in online sales channels were exposure, advertisements, SNS, events, special exhibitions, and events. Hindrance factors were low price competition, overheated competition, and the MD of sales channels. Second, the research samples used multiple online sales channels, including portal shopping malls and fashion shopping malls, in addition to their own malls. The selection factors were platform reputation and commission, branding, and customer inflow through exposure. Portal shopping malls were perceived as providing easy access, advertising/customer communication, exposure/search, price competitiveness, scalability, and intense competition, whereas fashion shopping malls were perceived as providing a brand image and concept, brand promotion, high commissions, difficult entry, and low profits. The factors for success in portal shopping malls were exposure/search, price competitiveness, and brand recognition, whereas the factors for success in fashion shopping malls were differentiation, brand, exposure/advertisement, product assortment, and MD.

• 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 the Korea Convergence Society
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• v.9 no.7
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• pp.17-24
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• 2018

One of the major issues in big data processing is extracting keywords from internet and using them to process the necessary information. Most of the proposed keyword extraction algorithms extract keywords using search function of a large portal site. In addition, these methods extract keywords based on already posted or created documents or fixed contents. In this paper, we propose a KAES(Keyword Advertisement Extraction System) system that helps the potential shopping keyword marketing to extract issue keywords and related keywords based on dynamic instant messages such as various issues, interests, comments posted on SNS. The KAES system makes a list of specific accounts to extract keywords and related keywords that have most frequency in the SNS.