• Journal of the Korea Convergence Society
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• v.10 no.9
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• pp.69-74
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• 2019

The purpose of this study is to compare the efficiency of bacteria removal of three different types of hand washing methods. This study performed a convenient sampling of 30 volunteers in cross-over design. The study divided the 30 volunteers into three random groups. The three groups were asked to use antiseptic soap, alcohol-based hand disinfectant, and disposable wet wipes respectively. The result of the study showed that mean log reduction values after each had washing method were $-0.45({\pm}0.69)$ with antiseptic soap and water, $-1.19({\pm}0.52)$ with alcohol-based hand disinfectant and $-0.75({\pm}0.58)$ with disposable wet wipes. The difference was statistically significant when using alcohol-based hand disinfectant compared to the other two methods (p=0.000). According to this study, alcohol-based hand disinfectant was the most effective product based on bacteria removal for hand washing. Advantages of using alcohol-based hand disinfectant are that it is cost-effective and easy to buy, also eco-friendly. Therefore, to prevent infectious disease, providing alcohol-based hand disinfectant to every corner of the community will be very helpful.

• The Journal of Society for e-Business Studies
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• v.27 no.1
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• pp.63-79
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• 2022

Recently, various studies have been conducted on stock price prediction using machine learning and deep learning techniques. Among these studies, the latest studies have attempted to predict stock prices using limit order books, which contain buy and sell order information of stocks. However, most of the studies using limit order books consider only the trend of limit order books over the most recent period of a specified length, and few studies consider both the medium and short term trends of limit order books. Therefore, in this paper, we propose a deep learning-based prediction model that predicts stock price more accurately by considering both the medium and short term trends of limit order books. Moreover, the proposed model considers news headlines during the same period to reflect the qualitative status of the company in the stock price prediction. The proposed model extracts the features of changes in limit order books with CNNs and the features of news headlines using Word2vec, and combines these information to predict whether a particular company's stock will rise or fall the next day. We conducted experiments to predict the daily stock price fluctuations of five stocks (Amazon, Apple, Facebook, Google, Tesla) with the proposed model using the real NASDAQ limit order book data and news headline data, and the proposed model improved the accuracy by up to 17.66%p and the average by 14.47%p on average. In addition, we conducted a simulated investment with the proposed model and earned a minimum of $492.46 and a maximum of $2,840.93 depending on the stock for 21 business days.

• 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.

• The Journal of the Korea Contents Association
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• v.22 no.10
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• pp.691-702
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• 2022

This study verifies the diversification effect when non-financial asset such as fractional music royalties investment which is recently get interest from masses, is included in traditional global asset allocation portfolio. From Jan 2019 when Music Royalties index is announced to Jun 2022, compared traditional global asset allocation portfolio and the portfolio included with music royalties. To eliminate the enhancement effect from portfolio strategy itself rather than including non-financial asset, used the four basic portfolio strategy such as buy & hold, constant rebalanced, mean variance, risk parity. As a result, all the portfolios included with music royalties shows less risk with higher returns. This means the sharpe ratio has enhanced and that results the portfolio diversification effect is placed. The empirical analysis of the study found academic significance in that the portfolio included with music royalties investment has diversification effect, and show the possibilities the not only on the music royalties, other non-financial asset can be shown the portfolio diversification effect.

• The Journal of the Korea Contents Association
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• v.22 no.9
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• pp.308-321
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• 2022

The purpose of this study is to understand how self-esteem, shopping motivations, and shopping tendencies affect the clothing purchase behavior of the so-called "MZ generation," a cohort that includes both millenials and Generation Z and exerts significant influence in various areas. The results of this study can be summarized as follows: First, it was found that extrinsic purchase motivations (purchased made due to the influence of other people), trend-seeking shopping tendencies, and pleasure-seeking shopping tendencies had a positive and significant effect on personal needs among the sub-factors of clothing purchase behavior of the MZ generation. Second, it was found that the MZ real purchase shopping motivations, trend-seeking shopping tendencies, pleasure-seeking shopping tendencies, and convenience-seeking shopping tendencies had a positive and significant effect on actual needs among the sub-factors of clothing purchase behavior among the MZ generation. Third, it was found that social self-esteem, extrinsic purchase motivations, and convenience-seeking shopping tendencies had a positive and significant effect on clothing marketing strategies among the sub-factors of clothing purchase behavior of the MZ generation. On the other hand, personal self-esteem was found to negatively affect the marketing strategies of clothing purchase behavior. In other words, the expectation that the MZ generation would buy clothes in accordance with their individual preferences and beliefs was not supported by the findings of this study. It would appear that the beliefs and behaviors of the digitally savvy MZ generation are changed by the fashion trend-related information they readily access when purchasing clothing. From the above research results, it can be concluded that there many variables that influence the clothing purchase behavior of the MZ generation and it is thus necessary to consider this cohort a new consumer segment and establish marketing strategies accordingly.

• Journal of Digital Convergence
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• v.20 no.2
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• pp.367-373
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• 2022

The purpose of this study is to derive the factors for purchasing a meal kit in their 20s and 30s and analyze the purchasing behavior from which factors they want to buy a meal kit in each lifestyle type. The first methodology of this study is inducing 7 factors derived from previous research on purchasing a meal kit. The second is the in-depth interview on 3 male and 3 female participants with clear purchasing criteria. As a result of the study, meal kit buyers in their 20s-30s evaluated the importance of purchasing factors in the order of quality, convenience, and taste on average in the survey. In in-depth interviews, more than half answered that they could be satisfied with the experience of using the meal kit at least freshness met. In conclusion, MZ generation meal kit consumers have a high rate of pursuing rational consumption. This study is valuable in understanding the priorities of the MZ generation's meal kit purchasing attributes and examining lifestyle type's purchasing behaviors.

• Journal of the Korean Society for Library and Information Science
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• v.57 no.1
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• pp.285-308
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• 2023

This study was carried out to survey and analyze the actual state of reading in Goyang citizens, and to utilize it as a base data for Goyang City's 2nd 'Reading Culture Promotion Plan'. To do this, including references related to reading survey and the 2021 National Reading Survey questionnaire survey questions, the questionnaires that reflected characteristics of adult and student respondents constructed. Then, the survey of 960 adults and 540 students in Goyang City conducted and analyzed the results, and several useful suggestions deduced for 'Goyang City Reading Culture Promotion Plan'. First, the category of reading materials have to be expanded from the paper media to the various media. Second, the expandation of collections in libraries and the services that will help actually buy books are necessary. Third, various reading programs should develop, and the opportunities for citizens to participate in reading and club activities through online should also be increased. Fourth, the facilities and service environments for activating reading should ensure that the accessibility of everyday life. Finally, among the existing reading culture promotion projects, the 'smart libraries', 'Inter-library loan services', 'reading and cultural programs management', and 'Goyang Book Pay' projects need to be sustained and expanded. This study is significant in that it has investigated the actual reading situation of real citizens and has converged the opinions necessary for setting the direction of the effective 'Goyang City reading culture promotion plan'.

• Analyses & Alternatives
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• v.7 no.2
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• pp.35-77
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• 2023

This study aims to solve the entangled loop between demographic transition (DT) and economic growth by analyzing cross-country data. We undertake a national-level group analysis to verify the compressed transition of demographic variables over time. Assuming that the LA (latecomer advantage) on DT over time exists, we verify that the DT of the latecomer is compressed by providing a formal proof of LA on DT over income. As a DT has the double-kinked functions of income, we check them in multiple aspects: early maturation, leftward threshold, and steeper descent under a contour map and econometric methods. We find that the developing countries (the latecomer) have speedy DT (CDT, compressed DT) as well as speedy income such that DT of the latecomers starts at lower levels of income, lasts for a shorter period, and finishes at the earlier stage of economic development compared to that of developed countries (the early mover). To check the balance of DT, we classify countries into four groups of DT---balanced, slow, unilateral, and rapid transition countries. We identify that the main causes of rapid transition are due to the strong family planning programs of the government. Finally, we check the effect of latecomer's CDT on economic growth inversely: we undertake the simulation of the CDT effect on economic growth and the aging process for the latecomer. A worrying result is that the CDT of the latecomer shows a sharp upturn of the working-age population, followed by a sharp downturn in a short period. Compared to early-mover countries, the latecomer countries cannot buy more time to accommodate the workable population for the period of demographic bonus and prepare their aging societies for demographic onus. Thus, we conclude that CDT is not necessarily advantageous to developing countries. These outcomes of the latecomer's CDT can be re-interpreted as follows. Developing countries need power sources to pump up economic development, such as the following production factors: labor, physical and financial capital, and economic systems. As for labor, the properties of early maturation and leftward thresholds on DTs of the latecomer mean that demographic movement occurs at an unusually early stage of economic development; this is similar to a plane that leaks fuel before or just before take-off, with the result that it no longer flies higher or farther. What is worse, the property of steeper descent represents the falling speed of a plane so that it cannot be sustained at higher levels, and then plummets to all-time lows.

• Journal of Consumption Culture
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• v.15 no.3
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• pp.67-90
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• 2012

When consumers choose healthy foods, they base their buying decisions on health-related food labeling and quality assessment of taste, health, and price. Moreover, both purchase experience and opinions of family and friends affect consumer choices. Focusing on these points, this study examined the effects of health-related food labeling on consumer choices by adding two variables-quality assessment of taste, health, and price and purchase experience-to the model of the theory of planned behavior. We also used structural equation modeling to test our hypotheses. In the study, health-related food labeling includes organic labeling, nutrient claims, and food additive labeling. We conducted a mail survey among 300 married women who buy cheese slices for their children more than once a month. It was discovered that health-related food labeling positively affected the level of quality assessment of taste, health, and price, and consequently led to positive attitudes and purchase intentions. Particularly, health-related food labeling positively influenced attitude toward using products without assessing the quality of taste, health, and price. The level of quality assessment of price positively affected attitude toward using and purchasing products, and purchase experience positively affected attitude toward using and purchasing products, and purchase intentions. The relationship between attitude to purchasing products and purchase intentions was the most positive, and the relationship between perceived behavioral control and purchase intentions was not significant. Overall, this study essentially contributes to the development of a theoretical framework of food labeling and consumer choices, which includes quality assessment of taste, health, and price and purchase experience, by using the theory of planned behavior.

• Journal of Service Research and Studies
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• v.13 no.2
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• pp.24-40
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• 2023

As the aversion to advertising grows, native advertising has gained significant attention as a means to counteract this rejection. Native advertising is designed to seamlessly blend with other content on the page where they are displayed. They mimic the overall design and presentation of the platform, providing a natural exposure to consumers. Many companies utilize native advertising, but there is not much academic research on this topic. Therefore this study aims to examine the effectiveness of native advertising for social issues. The study looked at two types of native advertising: ads created by a company and ads sponsored by a company. Results suggested that consumers showed more positive attitudes towards a company's ads if they were sponsored by the company rather than created by the company. This study argued that this effect would be more pronounced for consumers who tended to buy ethically. To verify these hypotheses an online experiment was conducted revealing that on average consumers displayed the same attitude toward a company whether the native advertising was created or sponsored by a company. However, it was also discovered that consumers with a tendency for ethical consumerism formed more positive attitudes toward companies when the company sponsored native advertising as opposed to having created it. In practice, this study suggests how companies can improve the effectiveness of native advertising, such as implementing native advertising as a sponsor and being transparent about their advertising to appeal to consumers with high ethical consumption tendencies. This study expands the scope of research in areas related to native adverting and corporate social responsibilities.