• Journal of Distribution Science
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• v.16 no.2
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• pp.89-99
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• 2018

Purpose - In this study, we discuss the current status and barriers of digital transformation focused on small businesses. More specifically, this study consists of two studies. The purpose of study 1 is to investigate the effect of digitization of small businesses on the sales of stores and the number of visiting customers. The purpose of Study 2 is to examine the status and obstacles of online channels use by small businesses. Research design, data, and methodology - In Study 1, we will examine the changes in sales and visitor numbers of stores that are rapidly adapting to digital transformation among small business. For this, we utilize the actual situation of store management survey conducted by the Small Enterprise and Market Service. Specifically, multiple regression equations were used to determine whether blogs and online shopping malls were operating, and the proportion of credit cards to sales as independent variables and sales and number of visiting customers as dependent variables. Next, in Study 2, we surveyed the 15 small business owners in the latest survey on the actual situation of store management survey conducted in 2015, and conducted an in-depth interview to examine the barriers to the use of online channels by small business. Results - As a result of study 1, it is found that the small business who run the blogs have higher sales and visits than the small business who do not. However, there is no difference in the sales and the number of visiting customers between the stores that operate the online shopping malls and those that do not. Second, the higher the proportion of credit cards, the higher the sales and the number of visiting customers. In study 2, we analyzed the barriers to the expansion of online channels by in-depth interviews. Interviews show that barriers to access to online channels are limited by search neutrality, high commission burden, and low bargaining power. These problems are caused by the insufficiency of small business compared to online and mobile portal and O2O platform vendors. Conclusions - This study suggests that small business who have difficulty in establishing direct online channels need digital transformation of small business. In addition, when using such an external platform, we have identified the problems that small business face.

• Journal of the Korea Convergence Society
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• v.12 no.4
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• pp.105-112
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• 2021

Unlike conventional online shopping malls that handle simple product sales, customization services have to be provided with a user-centered and smooth customizable work environment because of differences that buyers have to customize themselves. To study the ease of use of T-shirt customization web GUI, three websites that provide T-shirt customization services were selected to analyze the current status of T-shirt customization websites. Through prior research, we establish the evaluation principle as consistency and clarity, operability, feedback, coping with errors, sharing and ease of search. Based on this, the T-shirt customization web GUI design guidelines were drafted and three delphi surveys were conducted on GUI-related experts to prove the validity of the web GUI guidelines evaluation items that are effective in customizing T-shirts. This study is expected to contribute to increasing the production and usability of the T-shirt customization web and to be used as an effective reference for customization web GUI design.

• Asia Marketing Journal
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• v.10 no.2
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• pp.125-151
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• 2008

Both companies and consumers are highly interested in on-line customer reviews which enable consumers to share their experience and knowledge about products. In this study, after classifying real reviews into context units and deriving categories, we analyzed differences between categories based on channel(manufacturers' homepage/ shopping mall), product attribute(search/experience) and price(high/low). The method to derive categories is based on roughly adopting constructs of ACSI model and elaborate and repetitive classification of real reviews. We set up the classification category with 3 levels. Level 1 consists of product and service, level 2 consists of function, design, price, purchase motive, suggestion/user-tip and recommendation/repurchase in product and AS/up-grade and delivery/others in service and level 3 is composed of details of level 2 of category. We could find remarkable differences between channels in all 8 items of level 2 of category. As the number of context units in homepage is more than in shopping mall, we found reviews in homepage is more concrete. Moreover, overall satisfaction in review was higher at homepage's. Also, in product attribute dimension, we found different patterns of reviews in design, purchase motive, suggestion/user-tip, recommendation/repurchase, AS/up-grade and delivery/others and no difference in overall customer's satisfaction. In price dimension, we found differences between high and low price in design, price and AS/up-grade and no difference in overall customer's satisfaction.

• Asia Marketing Journal
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• v.8 no.2
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• pp.27-62
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• 2006

This study suggested the internet self-efficacy construct for explaining consumer's searching information capability. It proposed that consumers who have a high internet self-efficacy feel confident they can search much information which they want to find. And it suggested if consumers have a high internet self-efficacy, they will perceive risk less and will experience flow when they use internet shopping mall also. To examine that effect of internet self-efficacy on flow, perceived risk, attitude, and purchase intention, It suggested hypotheses from the basis of prior studies. All of hypotheses were supported and the findings can be summarized as follows. First, internet self-efficacy had a positive effect on flow and a negative effect on perceived risk. Second, flow had a positive effect on attitude and perceived risk had a negative effect on attitude. Attitude had a positive effect on purchase intention also. In view of the result of analysis, between flow and purchase intention are mediated by and between perceived risk and purchase intention are mediated by attitude also. Finally, perceived risk didn't have an effect on flow.

• Information Systems Review
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• v.20 no.4
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• pp.59-78
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• 2018

With the advent of the various device types and marketing communication, customer's search and purchase behavior have become more complex and segmented. However, extant research on multichannel marketing effects of the purchase funnel has not reflected the specific features of device User Interface (UI) and User Experience (UX). In this study, we analyzed the marketing channel effects of multi-device shoppers using a unique click stream dataset from global online retailers. We examined device types that activate online shopping and compared the differences between marketing channels that promote visits. In addition, we estimated the direct and indirect effects on visits and purchase revenue through customer's accumulated experience and channel conversions. The findings indicate that the same customer selects a different marketing channel according to the device selection. These results can help retailers gain a better understanding of customers' decision-making process in multi-marketing channel environment and devise the optimal strategy taking into account various device types. Our empirical analyses yield business implications based on the significant results from global big data analytics and contribute academically meaningful theoretical framework using an economic model. We also provide strategic insights attributed to the practical value of an online marketing manager.

• Information Systems Review
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• v.20 no.1
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• pp.1-16
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• 2018

The development and generalization of the Internet increased the popularity of food delivery service applications in Korea. The food delivery market based on online-to-offline service is growing rapidly. This study compares the usability of Korean food delivery service application between that of Chinese food delivery service application. This study suggests improvement points for Korean food delivery service applications. To conduct this study, we explore the status of various food delivery service applications and conduct interviews and surveys based on the honeycomb model developed by Peter Morville. This study obtained the following results. First, all restaurants participating in the Korean food delivery service must be able to accept order through the application. Second, the shopping cart function must be able to accept order of all restaurants simultaneously. Third, when users look for menu recommendation, their purchase history and shopping cart functions should appear at the first page of the website. Users should be able to perceive the improved usability of the website using those functions. Fourth, when the search window is fixed on the top of each page, users should be able to find the information they need. Fifth, the application must allow users to find the exact location of the delivery person and the estimated delivery time. Finally, the restaurants'address should be disclosed and fast delivery time should be confirmed to enhance users'trust on the application. This study contributes to academia and industry by suggesting useful insight into food delivery service applications and improving the point of food delivery service application in Korea.

• Journal of Nutrition and Health
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• v.37 no.8
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• pp.688-700
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• 2004

This study was conducted to analyze how appropriate the on-line nutrition information was externally as a web information. Four-hundred-ninety-seven web sites from 5 internet search engines (Yahoo, Empas, Nate, Hanmir, Naver) were selected on the basis of April 25th, 2004. The skillful personnels monitored them about 8 evaluating categories: clarity, purpose, authority, durability, advertisement, privacy and/or security, responsibility, and contents. Forty percent of the selected web sites were operated by the companies which had commercial purpose like internet shopping malls and 5.6% by academies, societies, research institutions, schools/colleges and public institutions. Most of web sites (76.1 %) were managed for advertisements and sales of companies' commodities, and 32.6% had the food and nutrition information as first purpose. Ninety-three percent of web sites were targeted to healthy individuals through whole life cycle. Specifically, there were lots of web sites for the obesity which were offered by diet related companies. Of the 497 web sites, 193 mentioned the name providing the nutrition information, but only 1/3 had reliability on their specialty. As a source of nutrition information, 52.7% of web sites were using 'books of the major field' and 42.0% 'newspapers' and 23.7% 'broadcasting', respectively. Most web sites mentioned 'setting-up date' but not 'renewal date'. Thirty-six percent of web sites took '2 - 3 days' for the operators to answer the questions through the bulletin. Forty-seven percent of web sites answered' 1 - 10 questions' per 1 week, but 40.1 % of them didn't answer for a week at all. There were 118 web sites (23.7%) to record the connected frequencies and 36.0% of them put the advertisements. Around 96% of web sites mentioned feedback addresses. Among the menus of web sites, 68.0% were about self-advertisement and 64.0% about nutrition information. Each web site was scored to judge its external quality according to the operators by selecting 13 items. Web sites managed by public institution had highest scores (9.5), and lowest in private vendors', food companies' and individual web pages. Among search engines, Naver got the highest score of 7.0 and Nate the lowest one of 6.1. As it was only the pilot study, there were several limits in evaluating tools, time and monitored quantity. To make monitoring of on-line nutrition informatiions actively, standardized monitoring forms might be developed under the integrated studies.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.207-222
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• 2008

This research suggests the method of how to build agricultural and stockbreeding products recommender systems based on RFID technology for monitoring crop and livestock production, tracing production history as an application strategy. In the past the studies on enterprise applications have been barely implemented owing to the rack of business model and limitation of technical development. Currently however there have been enormous technological progress of RFID and agricultural and stockbreeding products retailing sites are increased. Therefore this paper suggests PDCF-ASP(Profile Decay based Collaborative Fltering for Agricultural and Stockbreeding Products) which is designed to reduce customers… search efforts in finding safety and fresh products on the internet shopping mall. For this, product decay function is defined to make sure whether the products are safety or not and to adopt a change in customer preferences. And for the implementation of PDCF-ASP, the system structure including functional agents is schematized.

• The Research Journal of the Costume Culture
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• v.3 no.2
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• pp.323-346
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• 1995

The increasing number of senior citizens, combined with the power of purchasing due to discretionary income have vaulted the elderly into the position of an attractive future target market. Therefore, it would be crucial for marketers to understand elderly's purchasing behavior. The purpose of this study was to identify clothing purchasing behavior of elderly women. For this study, questionnaires were administered to 600 women over 55 years of age. However, the sample that was analyzed fer statistical analysis was involved 418 elderly women. Statistical analysis were majorly descriptives such as frequencies and percentages. The major results of this study were summarized as follows. 1. In relation to problem recognition in purchasing process, motives of purchasing apparel were identified as a happy event in home such as a wedding and a birthday, a change of seasons and a casual discovery of a suitable clothing in shopping, in orders. 2. In relation to information search, important information on apparel and fashionability were thought as display racks in a store, opinion from friends and family and fashionability from others or streets, in orders. 3. In relation to selecting a store in purchasing process, older consumers assessed that attractive price, design suited to my age, variety in one store and apparel product quality were important store attributes, in orders. In terms of a purchase place, older consumers purchased clothing mainly on department stores, wholesale stores such as Namdaemoon or Dongdaemoon market, mainly retail stores located close to home and discount stores of well known brand, in orders. 4. In relation to alternative evaluation in purchasing process, older consumeres considered that style or appearance suited to me, color, design, comfort and fitness were important selection criteria, in orders. 5. In relation to purchase choice, 61.7% of the respondents paid money by themselves and 68.9% paid on cash in purchasing apparel. 6. In relation to outcomes of purchase, older consumers solved their complaint against a unsatisfactory product mainly by returning the unsatisfactory clothing. Also, there were those who took no action against the unsatisfactory product and who altered the clothing for fitness by themselves.

• Journal of the Korean Institute of Intelligent Systems
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• v.23 no.3
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• pp.275-279
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• 2013

Recently, as multimedia information becomes popular, there are many studies to retrieve images based on images in the web. However, it is hard to find the matching images which users want to find because of various patterns in images. In this paper, we suggest an efficient images retrieval system based on images for finding products in internet shopping malls. We extract features for image retrieval by using SIFT (Scale Invariant Feature Transform) algorithm, repeat keypoint matching in various dimension by using PCA-SIFT, and find the image which users search for by combining them. To verify efficiency of the proposed method, we compare the performance of our approach with that of SIFT and PCA-SIFT by using images with various patterns. We verify that the proposed method shows the best distinction in the case that product labels are not included in images.