• Journal of the Korea Safety Management & Science
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• v.17 no.3
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• pp.221-229
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• 2015

The economy is advancing at quite a bit is the role of the Distribution Center, a rise is evolving and mullyuryang Any existing storage facilities were not creating added value from contact with the customer service centers play the role. In order to increase its market competitiveness also pl approach to three in order to enforce cost savings and run. But by industry, the goods, operating characteristics of the cooperating in order to differentiate themselves with the operating process of improvement of operating system, including costs and took lots of time of service.Quality is lower ; all were missing. Such logistics centers, standard management model to address a little bit problem with highest academic. I want to try send it to, each product-category's industrial and business forms, standardisation is really a difficult situation, current study is further progress all you if you are The process managed to turn component is sure that we will be able to be judged.

• Journal of Information Technology Services
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• v.20 no.4
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• pp.35-52
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• 2021

Nowadays data-based decision making is emerging as the center of the business environment paradigm, but many companies do not have data-driven decision-making systems. It has also been studied that using an expert's intuition in decision making can be more efficient in terms of speed and cost, compared to analytical decision making. The goal of this study is to analyze customer churn factors using a group of experts within a financial company from the viewpoint of decision-making efficiency. We applied a debit card 'A', product of the National Credit Union Federation of Korea. The churn factors of all the financial expert groups were examined. Also. the difference in each group (management support, card recruitment, customer service group) was analyzed. We expect that this study will be helpful in the practical aspects of managers whose environments is lack data-oriented infrastructure and culture.

• Journal of Fashion Business
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• v.22 no.5
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• pp.15-31
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• 2018

The purpose of this study was to classify male consumers and examine their clothing consumption values and the perceived importance of store attributes. Using Internet-based research service, survey data were collected from 651 male consumers aged between 20 and 40. The questionnaire included questions regarding respondents' preference of different store types, clothing consumption values, perceived importance of store attributes. According to the results, the respondents were categorized into 5 distinct groups based on their store type preferences: discount store preference group, multi-channel preference group, store indifferent group, brand store preference group, online store preference group. Multi-channel preference group was the largest among these groups. The five store type preference groups statistically varied in clothing consumption values, i.e., epistemic value, brand/conspicuous value, and economic value. The groups also differed in the importance they placed in the store attributes of: service and product quality, promotion, fashionability, salesperson and store environment, store atmosphere, convenience, and website image. The results of this study have direct implication for retail marketers of fashion companies who are targeting male consumers. Marketers can apply findings of this study in implementing retail strategies for different types of stores.

• The Journal of Economics, Marketing and Management
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• v.10 no.6
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• pp.1-7
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• 2022

Purpose: The purpose of this study is identifying the research trends of degree papers related to the beauty industry and providing information which can contribute to the development of the domestic beauty industry and the direction of various research about beauty industry. Research design, data and methodology: This study used 154 academic papers and 189 academic papers with English abstracts out of 299 academic papers. All of these papers were found by searching for the keyword "beauty industry" in ScienceON on August 15, 2022. For the analysis, BERTopic and LDA (Latent Dirichlet Allocation) analysis were conducted using Python 3.7. Also, OLS regression analysis was conducted to understand the annual increase and decrease trend of each topic derived with trend analysis. Results: As a result of word frequency analysis, the frequency of satisfaction, management, behavior, and service was found to be high. In addition, it was found that 'service', 'satisfaction' and 'customer' were frequently associated with program and relationship in the word co-occurrence frequency analysis. As a result of topic modeling, six topics were derived: 'Beauty shop', 'Health education', 'Cosmetics', 'Customer satisfaction', 'Beauty education', and 'Beauty business'. The trend analysis result of each topic confirmed that 'Beauty education' and 'Health education' are getting more attention as time goes by. Conclusions: The future studies must resolve the extreme polarization between the structure of the small beauty industry and beauty stores. Furthermore, the researches have to direct various ways to create the performance of internal personnel. The ways to maximize product capabilities such as competitive cosmetics and brands are also needed attentions.

• Journal of Distribution Science
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• v.19 no.7
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• pp.5-17
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• 2021

Purpose: The distribution of goods and the flow of information, determined by consumer behavior toward online shopping, is drastically popular worldwide. This study examines some factors such as brand trust, online sales promotion, consumer personality, delivery service, quality assurance, information search, and online consumer satisfaction influence online shopping behavior. Research design, data, and methodology: A constructed questionnaire in an online survey was conducted with 241 random cluster respondents in the greater Jakarta Area. Structure equation model was utilized to analyze and verify all the data. Results: Research finding indicates online sales promotion, delivery service, quality assurance, and online consumer satisfaction positively influence information search. Meanwhile, brand trust, quality assurance, and information search positively influence online shopping behavior. However, the result illustrates that consumer personality negatively influences both information search and online shopping behavior. Conclusions: To influence online shopping behavior, the most important factors that need to be considered by marketplaces are quality assurance. It positively motivates Indonesia's citizens to collect information and make unplanned purchases. The study finding can be a reference for brands to maintain and build outstanding product quality, an informational website, and an excellent marketing strategy so that customers can meet their expectations. Besides, it also broadens both companies' and individuals' knowledge about the digital revolution on consumer behavior.

• Journal of the FoodService Safety
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• v.2 no.2
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• pp.78-83
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• 2021

According to the report of the Korea Agro-Fisheries and Food Trade Corporation (2019), the size of the HMR food market in 2019 exceeded 4 trillion won. On the other hand, the consumption of agricultural products continued to decrease. As reported by Woo (2020) who analyzed consumer panel survey data, when the 2010 agricultural product purchase index was 100, the crop purchase index in 2019 was 72 and the vegetable and special crop purchase index was 69. Therefore, the Rural Development Administration promoted the research projects to develop the technologies for producing stably raw materials of HMR and for optimizing local foods as HMR ingredients. Researches on the development of HMR using local agricultural products has been being promoted in Cheonan, Chungju, and Jeju in 2020. In the case of Jeju, it has been prepared and realized the B2B commercialization of Jeju agricultural products in connection with the convenience store ingredients supplier in the province. In the case of Cheonan, development of HMR foods like as Sundae, dumpling, sausage, and Tteokgalbi using willd chive, cherry tomatoes, shiitake mushroom, fortified perilla, and licopene fortified watermelon has been being promoted. Lastly, in the case of Chungju, a diverse HMR foods have been developed using beans, centella asatica, Japanese lady bell, apples and peaches such as blended juices, frozen boiled rice, and tofu kit. In the future, in connection with the regional specialized crop cultivation project promoted by the Rural Development Administration, we intend to support the convergence commercialization of R&D technology based on regional characteristics.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.44 no.4
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• pp.85-97
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• 2021

Online consumer activities have increased considerably since the COVID-19 outbreak. For the products and services which have an impact on everyday life, online reviews and recommendations can play a significant role in consumer decision-making processes. Thus, to better serve their customers, online firms are required to build online-centric marketing strategies. Especially, it is essential to define core value of customers based on the online customer reviews and to propose these values to their customers. This study discovers specific perceived values of customers in regard to a certain product and service, using online customer reviews and proposes a customer value proposition methodology which enables online firms to develop more effective marketing strategies. In order to discover customers value, the methodology employs a text-mining technology, which combines a sentiment analysis and topic modeling. By the methodology, customer emotions and value factors can be more clearly defined. It is expected that online firms can better identify value elements of their respective customers, provide appropriate value propositions, and thus gain sustainable competitive advantage.

• International Journal of Advanced Culture Technology
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• v.10 no.1
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• pp.230-235
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• 2022

This study is to select an optimal object detection algorithm for designing a self-checkout counter to improve the inconvenience of payment systems for products without existing barcodes. To this end, a performance comparison analysis of YOLO v2, Tiny YOLO v2, and the latest YOLO v5 among deep learning-based object detection algorithms was performed to derive results. In this paper, performance comparison was conducted by forming learning data as an example of 'donut' in a bakery store, and the performance result of YOLO v5 was the highest at 96.9% of mAP. Therefore, YOLO v5 was selected as the artificial intelligence object detection algorithm to be applied in this paper. As a result of performance analysis, when the optimal threshold was set for each donut, the precision and reproduction rate of all donuts exceeded 0.85, and the majority of donuts showed excellent recognition performance of 0.90 or more. We expect that the results of this paper will be helpful as the fundamental data for the development of an automatic payment system using AI self-service technology that is highly usable in the non-face-to-face era.

• Journal of the FoodService Safety
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• v.3 no.1
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• pp.19-27
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• 2022

The use of cultured meat, also known as in vitro meat, is claimed to be a way of meeting the growing demand for meat worldwide in a safe and disease-free manner, without sacrificing animal and lowering greenhouse gas emissions. However, its economic feasibility is limited by its cost, scale-up complexity, public neophobia and technophobia, and an imperfect knowledge of its impacts on human health. Cultured meat, which is obtained from stem cells using tissue engineering techniques, has been described as a potential alternative to the current meat production systems, which have extensive negative effects. To ensure that a food product is safe for human consumption, it is important to consider all aspects of its life cycle. In this context, the current review analyzes the major elements of the cultured meat life cycle, including the incorrect use of chemicals, such as pesticides or antibiotics, as well as improper processing and storage methods that determine the food safety of cultured meat. The purpose of this review is to determine food safety, health issues, and the potential risks associated with cultured meat production.

• IEMEK Journal of Embedded Systems and Applications
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• v.18 no.4
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• pp.141-150
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• 2023

Currently, various companies are actively participating in research and development of drone delivery services. Existing studies do not comprehensively provide integrated functions for future drone delivery services such as mission automation, customer verification, and overcoming performance limitations, which can lead to high manpower demand, reduced user service trust, and potentially overloading low-end devices. Therefore, this study proposes a drone mission automation system (DMAS) using EdgeCPS technology to provide the three aforementioned functions in an integrated manner. Real-world experiments were conducted to evaluate the proposed system, demonstrating that the DMAS components operate according to the specified roles in the delivery scenario. In addition, the system achieved user verification with a similarity of more than 90% in the process of receiving the product, and verified a faster inference speed and a lower resource share than the existing method.