• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.1
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• pp.97-110
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• 2019

Recently, the 4th Industrial Revolution has been emerged and various products are developed and commercialized in preparation of the communication failure. Many solutions are underway in Back-Up Network for IDC Servers, but not in the personal or sensor for low-power system use. Therefore we used the OpenWRT Firmware in Raspberry Pi which can be easily obtained in online market, and it created a low-power load balancer. Therefore, we developed the device that uses LTE Antenna based on USB Interface for communication fault notification and important data. The equipment used in this paper is easy to buy in online shop for anyone. Also, it can be applied in other vendors' boards by using USB. We hope that this paper will contribute to the stability of individual sensor networks.

• The Journal of the Korea Contents Association
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• v.21 no.6
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• pp.138-154
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• 2021

'Live commerce', a brand new format of online shopping, is actively promoted in China recently. This research focused on 'Taobao-live', China's largest live commerce platform to investigate the relationships among para-social interaction, source characteristics (e.g., trustworthiness, attractiveness, and expertise), perceived ease of use, perceived usefulness, and shopping intention based on Technology Acceptance Model. A total of 536 Taobao live users were recruited through the Chinese research platform. The results showed that para-social interactivity positively affected perceived ease of use and usefulness, whereas the source characteristics had no significant effect on consumers' perceptions. Furthermore, higher perceived ease of use generated higher perceived usefulness, and both perceived ease of use and usefulness positively influenced consumers' intention to shop through Taobao live. This research can provide theoretical background for understanding the potential of live commerce platforms and help brands come up with effective online shopping strategies using live commerce platforms.

• Fashion & Textile Research Journal
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• v.24 no.4
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• pp.418-430
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• 2022

This study aims to analyze consumers' purchase decision-making process of buying avatar fashion items on the Metaverse platform. Drawing on the connection between the self-expression tendency of the MZ generation and that of avatars in the Metaverse, this study uses a qualitative research method to analyze how consumers express their self-image through the appearance of their avatars. Unlike previous studies on the clothing purchase decision-making process, this study shows that purchasing and consumption behavior involve the following six stages: recognizing desire, collecting information, evaluating alternatives, making purchases, evaluating the consumption, and post-purchase action-taking. In the first stage of the purchase decision-making process, consumers' desire arises with self-image expression and confirmation. In the second stage, consumers have a high tendency to shop in the best item category. In the alternative evaluation stage, consumers tend to seek items that match their highest standard while considering their personal preferences. In the fourth stage, when making actual purchases, unplanned purchase behavior often occurs along with an active practice of alternative evaluation. In the fifth stage, the evaluation of the consumption shows that consumers achieve satisfaction by applying a style to their avatars that they are unable to try in the real world. In the last stage, consumers often use their purchases to communicate their various styles with other online consumers. Therefore, we conclude that the online purchase decision-making process differs from the offline process as it is divided into six stages.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.16 no.3
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• pp.830-860
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• 2022

[Introduction] Nowadays, many companies are shifting their businesses online due to the growing trend among customers to buy and shop online, as people prefer online purchasing products. [Problem] Users share a vast amount of information about products, making it difficult and challenging for the end-users to make certain decisions. [Motivation] Therefore, we need a mechanism to automatically analyze end-user opinions, thoughts, or feelings in the social media platform about the products that might be useful for the customers to make or change their decisions about buying or purchasing specific products. [Proposed Solution] For this purpose, we proposed an automated SentiDecpective approach, which classifies end-user reviews into negative, positive, and neutral sentiments and identifies deceptive crowd-users rating information in the social media platform to help the user in decision-making. [Methodology] For this purpose, we first collected 11781 end-users comments from the Amazon store and Flipkart web application covering distant products, such as watches, mobile, shoes, clothes, and perfumes. Next, we develop a coding guideline used as a base for the comments annotation process. We then applied the content analysis approach and existing VADER library to annotate the end-user comments in the data set with the identified codes, which results in a labelled data set used as an input to the machine learning classifiers. Finally, we applied the sentiment analysis approach to identify the end-users opinions and overcome the deceptive rating information in the social media platforms by first preprocessing the input data to remove the irrelevant (stop words, special characters, etc.) data from the dataset, employing two standard resampling approaches to balance the data set, i-e, oversampling, and under-sampling, extract different features (TF-IDF and BOW) from the textual data in the data set and then train & test the machine learning algorithms by applying a standard cross-validation approach (KFold and Shuffle Split). [Results/Outcomes] Furthermore, to support our research study, we developed an automated tool that automatically analyzes each customer feedback and displays the collective sentiments of customers about a specific product with the help of a graph, which helps customers to make certain decisions. In a nutshell, our proposed sentiments approach produces good results when identifying the customer sentiments from the online user feedbacks, i-e, obtained an average 94.01% precision, 93.69% recall, and 93.81% F-measure value for classifying positive sentiments.

• International Journal of Human Ecology
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• v.4 no.2
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• pp.39-53
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• 2003

This study was designed to provide a better understanding of Korean female Internet users' intention to search for information regarding apparel goods and to shop for these goods. Shopping orientation, familiarity, and prior purchase experience were seen as influencing the intention to use the Internet for information search. An important aspect in the search habits that a consumer adopts in gathering information for their buying decisions was Internet shopping attitude. The objective was to predict apparel shopping in terms of prior Internet shopping experience, familiarity, intention to search information via the Internet, and shopping orientation. Internet shopping attitude, familiarity, prior purchase experience, and intention to use to search information were significant in predicting Internet apparel shopping. The most important determinants which influenced Internet shopping were attitude toward Internet shopping and intention to search. In considering the results of the present study, one should recognize the inherent limitations associated with generalizing these findings beyond the sample and the consumer products examined which in this study were apparel goods. Also this study focused on female computer users only. Therefore, future research should utilize more broadly based samples and refine the instrument to distinguish among different apparel products. This study does provide some information that should be helpful to retailers targeting the women's online apparel market.

• International Journal of Human Ecology
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• v.14 no.1
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• pp.13-27
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• 2013

Consumer perception of the meaning of 'green' and 'green products' as well as how they use green claims (including terms, certifications, and marks) should be examined to help consumers pursue green behavior in everyday life. This study investigates what type of green claims prevail in the Korean consumer market and how consumers perceive the meaning of 'green' and green claims. For these purposes, media analysis, in-context research (shop visit) and a survey were conducted to collect green claims (including green terms and certified/noncertified green marks). Green claims in the consumer market were first summarized and analyzed; subsequently, the most frequently used 7 green marks and 15 green terms were selected to construct a consumer survey questionnaire on consumer perceptions of green claims. An online survey was performed via Embrain and the survey respondents consisted of 500 adult consumers over the age of 20. The field research results showed frequent green claims in the Korean consumer market. However, certified (and hence trustworthy green product information labels) were uncommon in the market. The only green claim widely known and used by consumers was the energy consumption efficiency label. Consumers were interested in the green information label not because it affected their utility cost nor because it was important for environment protection.

• Journal of Korea Society of Digital Industry and Information Management
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• v.13 no.1
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• pp.147-158
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• 2017

Internet is changing the way consumers shop and buy goods and services, and has rapidly evolved into a global phenomenon. The primary purpose of this study is to investigate the influence of consumer's on-line shopping values on satisfaction and intention to re-use. Economic value, emotional value, convenience value, social value, product variety were identified as affecting factors of satisfaction and intention to re-use of on-line shopping purchasing based on prior studies of on-line shopping behavior. This study tested the hypothesized model using the data from 132 consumers who have purchased products in on-line shopping mall. According to the result, economic value, emotional value, product variety are significantly related to the consumer satisfaction but convenience value, social value are not. Consumer satisfaction of online purchasing was also shown to be related to the intention to re-use. It can provide practical guidelines on effective operation strategies for consumer loyalty.

• Journal of the Korean Society of Clothing and Textiles
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• v.27 no.7
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• pp.789-799
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• 2003

The purpose of this study was to find out clothing evaluation criteria and purchase intention according to consumers' shopping orientation and demographic factors when they shop online. The subjects were 240 men and women living in the metropolitan area. For data analysis, factor analysis, cluster analysis, ANOVA, t-test, Duncan test and descriptive statistics were conducted. The results are as follows: 1. Important clothing evaluation criteria were considered in order of price, style, fit, size and product guarantee etc. Purchase intention was showed more highly when products are related to low involvement than high involvement. 2. Consumers with high hedonic and utilitarian shopping orientation considered clothing evaluation criteria more importantly but showed low level of purchase intention in cyber shopping. And consumers with low hedonic and utilitarian shopping orientation considered clothing evaluation criteria less importantly but showed high level of purchase intention in cyber shopping. 3. There were significant differences in evaluation criteria and purchase intention according to demographic variables. Especially women considered evaluation criteria more importantly and had higher level of purchase intention than men.

• The Research Journal of the Costume Culture
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• v.17 no.2
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• pp.343-351
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• 2009

As more and more consumers shop online, websites of fashion brands have become effective means for business activities. The Colors of web sites are the most effective visual elements for e-tailers to communicate with consumers. The purpose of this study is to compare websites created for local and global markets by men's apparel brands. The empirical study focused on differences of color application between the local and global websites. Fourteen brands were chosen for the study. The main color, sub color, and accent color were extracted according to the screen component ratios for each website. The colors were analyzed by Munsell's 10 Hues and 12 tone classifications of Practical Color Coordinate System. The Results indicated that all websites were using White as the main color. The local website used pale tones while global websites used dark tones. There was also differences in the use of sub colors and tones. Red was most used as the accent color in both local and global websites.

• The Research Journal of the Costume Culture
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• v.29 no.6
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• pp.865-880
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• 2021

The purpose of this study was to examine job competencies for sales training program development to maximize profits in fashion retailing. An empirical online survey was conducted from September to December 2019, and data was collected from 200 salespeople and store managers working in fashion stores. Results were analyzed using frequency analysis, factor analysis, variance analysis, and regression analysis with SPSS 25.0. The major findings of this study were as follows. First, the most important job competencies identified by fashion store managers were: sales sense know-how, customer service skills, and sales person's fashion style sense, product knowledge, fashion marketing and customer management. The job competency factors for sales training programs included empathy with the customer, product knowledge, communications and networking, basic job requirement, and sales skills. These five factors positively influenced the employment intentions and expectations of work performance of graduates. These factors also had a positive influence on the need of sales training program and intention to participate in retraining. Store managers in fashion retail thought the most appropriate period for on-the-job training was either 2-4 days or more than 1 week. The results of this study can be used as a base to develop training programs for job efficiency for salespeople in fashion retailing.