• Journal of Korea Trade
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• v.24 no.7
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• pp.1-28
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• 2020

Purpose - This paper empirically investigates the predictors and main determinants of consumers' ratings of mobile applications in the Google Play Store. Using a linear and nonlinear model comparison to identify the function of users' review, in determining application rating across countries, this study estimates the direct effects of users' reviews on the application rating. In addition, extending our modelling into a sentimental analysis, this paper also aims to explore the effects of review polarity and subjectivity on the application rating, followed by an examination of the moderating effect of user reviews on the polarity-rating and subjectivity-rating relationships. Design/methodology - Our empirical model considers nonlinear association as well as linear causality between features and targets. This study employs competing theoretical frameworks - multiple regression, decision-tree and neural network models - to identify the predictors and main determinants of app ratings, using data from the Google Play Store. Using a cross-validation method, our analysis investigates the direct and moderating effects of predictors and main determinants of application ratings in a global app market. Findings - The main findings of this study can be summarized as follows: the number of user's review is positively associated with the ratings of a given app and it positively moderates the polarity-rating relationship. Applying the review polarity measured by a sentimental analysis to the modelling, it was found that the polarity is not significantly associated with the rating. This result best applies to the function of both positive and negative reviews in playing a word-of-mouth role, as well as serving as a channel for communication, leading to product innovation. Originality/value - Applying a proxy measured by binomial figures, previous studies have predominantly focused on positive and negative sentiment in examining the determinants of app ratings, assuming that they are significantly associated. Given the constraints to measurement of sentiment in current research, this paper employs sentimental analysis to measure the real integer for users' polarity and subjectivity. This paper also seeks to compare the suitability of three distinct models - linear regression, decision-tree and neural network models. Although a comparison between methodologies has long been considered important to the empirical approach, it has hitherto been underexplored in studies on the app market.

• Journal of Bio-Environment Control
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• v.30 no.3
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• pp.218-229
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• 2021

Recently, as consumers' interest and importance in health care have significantly increased, they prefer natural and organic foods that do not use chemical pesticides. Since sprout vegetables effectively promote health and prevent diseases such as cancer and cardiovascular disease, the consumption of sprout vegetables, a highly functional and safe food, has been increased significantly. This study aimed to investigate the effect of light on the growth and bioactive compounds of seven different sprout vegetables. After sowing the seeds of various sprout vegetables (kale, Chinese kale, broccoli, red cabbage, alfalfa, red radish, and radish), the sprouts were cultivated under light conditions (20℃, RGB 6:1:3, 130 μmol·m^-2·s^-1, 12 hours photoperiod) and dark condition for 7 days. Sprouts samples were taken at 1-day intervals from 4 to 7 days after treatment. The fresh weight, dry weight, plant height, total phenol content, and antioxidant capacity were measured. Brassica species (kale, Chinese kale, broccoli, red cabbage) and Medicago species (alfalfa) had significantly higher fresh weight values under dark conditions, while the content of bioactive compounds was increased considerably under light conditions. In contrast, the fresh weight of Raphanus genus (red radish, radish) significantly increased under the light condition, but the antioxidant phenolic compounds were significantly higher under the dark state. A negative correlation was observed between the growth and secondary metabolites in various sprout vegetables. This study confirmed the effect of light and dark conditions on different sprout vegetables' growth and nutritional value and emphasizes the importance of harvest time in producing high-quality sprout vegetables.

• Korean small business review
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• v.43 no.4
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• pp.95-115
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• 2021

Quality is an important factor influencing organizational performance, so it should be possible to accurately and effectively measure the quality perceived by members. The Consumer Cooperative can be seen as a retail industry by industry classification, and there are various studies based on the dimension of retail quality, but compared to the general retail industry, few studies have been conducted based on the quality level perceived by members. The purpose of this study is to develop quality dimensions and sub-attributes by analyzing in detail and elaborately how the quality of cooperative is viewed from the perspective of members who are both consumers and owners. To this end, the quality dimension of cooperative quality is needed to be newly developed and quality components are demonstrated based on previous studies on the quality dimension. The quality dimension of the cooperative was developed through prior research to suit the value of the cooperative in product, service, and social responsibility, and a survey was conducted to demonstrate the four major cooperative members in Korea. Through this, sub-dimensions were constructed and the quality dimension of the high-order model was demonstrated through exploratory factor analysis and confirmatory factor analysis. It aims to discover key management elements in terms of quality management and provide practical implications to management.

• Journal of the Korea Society of Computer and Information
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• v.27 no.2
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• pp.53-60
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• 2022

YouTube realistically shows fake news and biased content based on facts that have not been verified due to low entry barriers and ambiguity in video regulation standards. Therefore, this study aims to analyze the influence of the media and YouTube on individual behavior and their relationship. Data from YouTube and Twitter are randomly imported with selenium, beautiful soup, and Twitter APIs to classify the 31 most frequently mentioned keywords. Based on 31 keywords classified, data were collected from YouTube, Twitter, and Naver News, and positive, negative, and neutral emotions were classified and quantified with NLTK's Natural Language Toolkit (NLTK) Vader model and used as analysis data. As a result of analyzing the correlation of data, it was confirmed that the higher the negative value of news, the more positive content on YouTube, and the positive index of YouTube content is proportional to the positive and negative values on Twitter. As a result of this study, YouTube is not consistent with the emotion index shown in the news due to its secondary processing and affected characteristics. In other words, processed YouTube content intuitively affects Twitter's positive and negative figures, which are channels of communication. The results of this study analyzed that YouTube plays a role in assisting individual discrimination in the current situation where accurate judgment of information has become difficult due to the emergence of yellow media that stimulates people's interests and instincts.

• Journal of Animal Science and Technology
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• v.64 no.2
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• pp.353-364
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• 2022

The present study aimed to assess the feasibility of increasing the slaughter weight (SW) of non-lean finishing pigs to improve their meat quality. A total of 36 (Landrace × Yorkshire) × Duroc gilts and barrows were slaughtered at 115 (Av), 125 (Hi), or 135 (XHi) kg, followed by physicochemical analyses and sensory evaluation on their longissimus dorsi (LD) and Semimembranosus (SM) muscles. Backfat thickness was greater (p < 0.05) for the XHi (31.2 mm) and Hi (29.3 mm) groups than for Av (25.0 mm). Dressing percentage and yield of the belly per whole carcass were also slightly greater for XHi and Hi vs. Av. The intramuscular fat (IMF) content of SM was greater for XHi (2.64%) than for Av (1.83%) and Hi (2.04%) and also was correlated with SW (r = 0.55). The pH value, lightness, redness, drip loss, shear force, and moisture and protein contents of LD and SM, as well as IMF content of LD, were unaffected by SW. Percentages of 14:0, 16:0, and total saturated fatty acids (FA) were less for Hi and XHi vs. Av in SM, those of total unsaturated FA, 18:2, 20:4, and n-6 being opposite; FA composition of LM was not influenced by SW except for a reduced 18:0 percentage for XHi vs. Av. The sensory score was less for XHi vs. Av for odor in fresh LD and SM, and less for Hi and XHi vs. Av for aroma in fresh LM; scores for color, drip loss, marbling, and acceptability were unaffected by SW. As for cooked muscles, none of the scores for color, aroma, flavor, juiciness, tenderness, and acceptability was affected by SW, except for a greater LD color score for Hi and XHi vs. Av. Collectively, the results suggested that the increased yield of the carcass and belly due to increased SW is outbalanced negatively by excessive backfat deposition in production efficiency, whereas the SW increase exerts little influence on overall sensory quality of fresh or cooked meat. Production of non-lean market pigs overweighing 115 kg therefore will be uneconomical unless consumers pay a substantial premium for the over-fattened pork.

• Journal of Life Science
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• v.32 no.9
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• pp.698-705
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• 2022

Rice consumption in Korea is continuously decreasing; therefore, methods for reducing rice stocks are now being proposed. Increasing the consumption of rice and reduce these stocks will require that the rice processing industry be developed beyond simply using cooked rice as food. The Korean people's eating habits have also diversified recently, and the consumption of bread is increasing. Therefore, breeding a cultivar for rice flour is now necessary. Here, a line suitable for processing into rice flour was cultivated by deriving a mutant line by tissue culture of Ilpum. Mutant populations were investigated for major agricultural traits in the field, and grain characteristics and endosperm characteristics were investigated after harvest. Among the lines, line 29111 had similar agricultural characteristics to the background Ilpum, and excellent grain quality, and was selected for further analysis. The physicochemical properties that determine taste were similar or improved. However, unlike Ilpum, 29111 had a non-uniform starch structure and a characteristic powdery endosperm because large and male starch grains are evenly distributed. Therefore, 29111 was viewed as a breeding line suitable for processing and for excellent agricultural characteristics and taste. The added value can be increased by diversifying the uses of rice. The taste was improved and a method for breeding cultivars with grain characteristics for glutinous rice that would satisfy both producers and consumers was presented.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.45 no.2
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• pp.48-55
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• 2022

The color image of the brand comes first and is an important visual element that leads consumers to the consumption of the product. To express more effectively what the brand wants to convey through design, the printing market is striving to print accurate colors that match the intention. In 'offset printing' mainly used in printing, colors are often printed in CMYK (Cyan, Magenta, Yellow, Key) colors. However, it is possible to print more accurate colors by making ink of the desired color instead of dotting CMYK colors. The resulting ink is called 'spot color' ink. Spot color ink is manufactured by repeating the process of mixing the existing inks. In this repetition of trial and error, the manufacturing cost of ink increases, resulting in economic loss, and environmental pollution is caused by wasted inks. In this study, a deep learning algorithm to predict printed spot colors was designed to solve this problem. The algorithm uses a single DNN (Deep Neural Network) model to predict printed spot colors based on the information of the paper and the proportions of inks to mix. More than 8,000 spot color ink data were used for learning, and all color was quantified by dividing the visible light wavelength range into 31 sections and the reflectance for each section. The proposed algorithm predicted more than 80% of spot color inks as very similar colors. The average value of the calculated difference between the actual color and the predicted color through 'Delta E' provided by CIE is 5.29. It is known that when Delta E is less than 10, it is difficult to distinguish the difference in printed color with the naked eye. The algorithm of this study has a more accurate prediction ability than previous studies, and it can be added flexibly even when new inks are added. This can be usefully used in real industrial sites, and it will reduce the attempts of the operator by checking the color of ink in a virtual environment. This will reduce the manufacturing cost of spot color inks and lead to improved working conditions for workers. In addition, it is expected to contribute to solving the environmental pollution problem by reducing unnecessarily wasted ink.

• Journal of Dairy Science and Biotechnology
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• v.41 no.1
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• pp.9-25
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• 2023

Yogurt fermentation is known to be beneficial because it provides a low pH and harsh environment for foodborne pathogens and improves organoleptic properties. Additionally, organic acids produced through fermentation have a good effect on the viscosity and gelling properties of yogurt. Several potential health benefits of probiotic and generally recognized as safe strains have been suggested. Yogurt is the preferred vehicle for delivering probiotics to health-conscious consumers. Therefore, manufacturers of probiotic beverages must comply with the relevant regulations. The development of probiotic yogurt begins with the selection of strains with safety and functional properties of probiotics. The selected probiotic strain should be technically suitable for viability and improve organoleptic quality while maintaining the number of bacteria above the standard value during processing and storage conditions. In addition, the efficacy of probiotic strains contained in yogurt should be investigated, confirmed, and approved according to well-designed clinical trials. Although various methods are used to detect probiotic strains, the recently widely used next generation sequencing method can be actively utilized. In the future, more research should be conducted with the latest methods to identify probiotic functions and accurately detect probiotic strains.

• Microbiology and Biotechnology Letters
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• v.50 no.3
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• pp.361-374
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• 2022

For this study, we designed and produced mulberry low-fat ice cream supplemented with synbiotics (MLF-ISS). The sensory characteristics and physical, chemical, and microbiological qualities of MLF-ISS were then determined. Mulberry juice inoculated with or without probiotic (Lactobacillus plantarum TISTR 926 and Saccharomyces boulardii CNCM I-745) was also tested at 37℃ for 24 h to determine probiotic growth rate, pH, total anthocyanin content (TAC), total phenolic content (TPC), and antioxidant activity (AA). Only the TAC of mulberry juice inoculated with S. boulardii CNCM I-745 increased considerably (p < 0.05) among these parameters. MLF-ISS was produced with varied mulberry fruit concentrations (0, 10, 20, 30, or 40%) (w/w). The MLF-ISS prepared with 30% mulberry fruit (w/w) (30-MLF-ISS) had a higher score in appearance, color, and sweetness (p < 0.05) when sensory qualities were measured using the 9-point hedonic scale method. In the CIE lab system (L^*, a^*, b^*), the color values of 30-MLF-ISS were 27.80 ± 0.26, 12.99 ± 0.59, and 1.43 ± 0.05, respectively. The 30-MLF-ISS was also subjected to a proximate analysis. The melting rate of 30-MLF-ISS was 0.29 ± 0.03 g/min and the time it took for the first drop to fall was 37.00 ± 7.00 min. TAC, TPC, and AA of 30-MLF-ISS were observed to alter significantly (p < 0.05) during varied intervals of storage at - 18℃ (0, 30, and 60 days). The viability of probiotics in 30-MLF-ISS slightly decreased after storage at -18℃ for 8 weeks, but remained about 6 log CFU/g. During storage at -18℃ for 0 and 120 days, no pathogenic bacteria were detected in 30-MLF-ISS. These findings show that 30-MLF-ISS has nutritional and functional value, is free of foodborne pathogenic bacteria, is safe for consumers' health, and is suitable for application in the ice cream and related food industries.

• The Journal of Society for e-Business Studies
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• v.27 no.2
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• pp.105-135
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• 2022

As COVID-19 has led to a surge in e-commerce Buy Now Pay Later(BNPL) has become preferred choice among millennials. In Korea Coupang followed by Naver Pay offers a deferred payment, aiming to create customer lock-in effect, save credit card processing fee and lay the groundwork for entering into new financial services. However the literature related to the influential factors of customers' usage intention toward a deferred payment is scarce. For the study, a multi-group analysis was carried out to find differences between Naver shopping and Coupang. The results revealed that the important factors that affect a deferred payment adoption were compatibility, impulsive buying tendency in Naver shopping, whereas compatibility, relative advantage, additional value in Coupang(listed in order of most important). In addition, impulsive buying tendency had a positive effect on adoption intention in Naver shopping and on perceived risk in Coupang. The results imply that Naver shopping need to focus on managing delinquency while Coupang should provide sufficient information on how late fees and credit rating downgrade work and try not to make a deferred payment option stand out. In order to increase adoption rate it is recommendable to narrow down target segment of a deferred payment and expand it to a specialized vertical such as travel.