Processed cheeses (PCs) were made under varying cooking pH values (5.3, 5.4, 5.5, and 5.6) using a processed cheese cooker. Along with emulsifying salts (2.5%), distilled water, NaCl (2%) and a colouring agent under these cooking pH values, the PC samples made with either 100% fresh curd and rennet casein coded processed cheese control ($PC_C$) as control or ~70% fresh curd-~30% traditional village cheese coded processed cheese with village cheese ($PC_V$). The main aim of this study was to determine the effect of the varying cooking pH values on the textural properties for the PCv samples compared with the control sample during 90 days of storage. Chemical and textural properties of all PC samples were investigated over time. The chemical compositions of the PC samples (dry matter and ash) increased at d 90 of storage significantly, due to 1-d ripening of all PC samples at ambient temperature in terms of the manufacturing protocol of the cheese. The textural properties of the PC samples were altered by the varying cooking pH values. It may propose that the interactions of the proteins at the cooking pH values during processing and biochemical mechanisms in the cheese systems could likely affect the texture of the PC samples over time. Hardness, gumminess and chewiness values of all PC samples also increased over time (p<0.05). This study is also to give some knowledge on the design of PC manufacture to cheese makers, and a marketing opportunity to local cheese makers who individually make a traditional village cheese in Turkey.
Journal of Korean Library and Information Science Society
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v.51
no.4
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pp.351-374
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2020
Public libraries provide information and cultural programs based on various collections as an information and culture hub in local communities. This study analyzed the cases of cultural programs of public libraries in the United States on "Programing Librarian," a website operated by the American Library Association to identify the trend of library programs. As a result of the analysis, the traditional program types such as hobbies, culture, and reading are major program types, but the new types as society and life are also appearing. New types of program activities such as social activities and experiences are also identified. In addition, it was analyzed that the tendency to effectively operate cultural programs with minimal cost is also occurring in the United States. As a marketing channel, Facebook was the most preferred method of promoting cultural programs.
The purpose of this study was first, to clarify the clothing benefits that Uzbek female college students seek through clothing products; and second, to determine whether there is a difference in clothing involvement and clothing purchasing behavior according to the type of clothing benefits. Data were collected from 290 female university students from Tashkent, Uzbekistan, and analyzed using factor analysis, K-means group classification analysis, ANOVA, Duncan test, χ2-test, and frequency analysis. Respondents were classified into four types according to their clothing benefits: individuality/economy-pursuit, comfort-pursuit, fashion/brand-pursuit, and indifference. Significant differences were identified in terms of clothing involvement, information sources, clothing evaluation criteria, clothing store attributes, clothing wearing conditions (including monthly clothing expenses), number of purchases per year, clothing purchase location, clothing preference style, and clothing dissatisfaction. The fashion/brand-pursuit and personality/economy-pursuit types were influenced more by fashion and symbolism of clothing involvement, information sources, clothing evaluation criteria, and clothing store attributes. The individuality/economy-pursuit type purchased more frequently, spent more monthly clothing expenses, and used the internet. Clothing store attributes were considered more important by female students than the other attributes. In these results, clothing benefits were identified as consumer characteristics of female Uzbek college students and market segmentation was determined. In addition, it is meaningful in providing basic data for efficient marketing activities and minimizing trials and errors in establishing local-friendly strategies for target customers in different cultures.
This study was conducted to supplement new-normal strategies on management plans of rural groundwater resources in the era of Post COVID-19. Global outbreak of COVID-19 has damaged across all areas including public policy, economics, industrial services, and others without exception, which has resulted in establishing new-normal strategies in order to restore balance and functions as for these areas. The new-normal ones were represented as enhancing preventative management on infectious diseases, expanding non face-to-face services, enhancing protective trades and food securities, and preparing growth policies on public services using the 4th industrial revolution techniques. In this study, G-WASH_AD (Groundwater supply, sanitation, and hygiene with attraction and digitization) was suggested to be new-normal strategies on rural groundwater resources. The G-WASH_AD was consisted of three detailed action plans: a preventative plan on waterborne-diseases of groundwater (PP), a groundwater-tourism plan with rural heritage (GP), and an application plan of the 4th industrial revolution techniques to groundwater facilities and its data (P4). The PP can contribute to protect human health from waterborne-diseases and minimize hazardous effects on crop cultivation. The GP accompanied with high-quality groundwater resources is able to strengthen rural tourism, to promote marketing activities on local agricultural products, and to increase household incomes of rural communities. The P4 can reinforce fast, comfortable, and scientific management on groundwater facilities and its data, creating a virtuous cycle between innovative management on groundwater and growth of technology related to it. Results of the G-WASH_AD strategies can encourage a green growth engine in field of rural groundwater management keeping up with Post COVID-19.
The Journal of Economics, Marketing and Management
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v.11
no.4
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pp.19-30
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2023
Purpose: This study examines the factors that the Millennials and Gen Z prefers to invest in assets. We look at the asset structure they want now and in the future and the idea of designing the future. This can be expected that the center of Korea's asset market will change to the structure they want in the future. Research design, data and methodology: The spatial extent of the study is all over Korea including Seoul, the metropolitan area, and local cities. The survey was conducted for about 16 days from May 7 to May 22, 2023. The survey was conducted by the surveyor visiting the subject in person, distributing the questionnaire, explaining it, and filling it out in person. For the analysis, descriptive statistics and logistic regression analysis were conducted using the SPSS 25.0 statistical package. Results: It was confirmed that the preferred assets of the Millennials and Gen Z were different by period. There was also a difference in the influencing factors between Millennial Generation and Generation Z in asset preference. Conclusions: The Millennials and Gen Z's preferred assets were different by period. The reason is interpreted as the current process of collecting assets during the asset formation period. In the future, they intend to purchase real estate assets by using financial assets as a lump sum of money. We learned the characteristics of the entire Millennials and Gen Z, in addition, the difference between income and assets is believed to have affected the difference in preference factors of Millennial Generation and Generation Z, respectively.
Kyu Ik Kim;Berdibayev Yergali;Soo Hyung Kim;Jin Suk Kim
Journal of Korean Society of Industrial and Systems Engineering
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v.46
no.2
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pp.176-182
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2023
With about 80% of the global economy expected to shift to the global market by 2030, exports of reverse direct purchase products, in which foreign consumers purchase products from online shopping malls in Korea, are growing 55% annually. As of 2021, sales of reverse direct purchases in South Korea increased 50.6% from the previous year, surpassing 40 million. In order for domestic SMEs(Small and medium sized enterprises) to enter overseas markets, it is important to come up with export strategies based on various market analysis information, but for domestic small and medium-sized sellers, entry barriers are high, such as lack of information on overseas markets and difficulty in selecting local preferred products and determining competitive sales prices. This study develops an AI-based product recommendation and sales price estimation model to collect and analyze global shopping malls and product trends to provide marketing information that presents promising and appropriate product sales prices to small and medium-sized sellers who have difficulty collecting global market information. The product recommendation model is based on the LTR (Learning To Rank) methodology. As a result of comparing performance with nDCG, the Pair-wise-based XGBoost-LambdaMART Model was measured to be excellent. The sales price estimation model uses a regression algorithm. According to the R-Squared value, the Light Gradient Boosting Machine performs best in this model.
In recent years consumers have become used to products geared toward a more convenient lifestyle, thus, the demand for salted-cabbage, for use in preparing Kimchi is increasing. This study aims to investigate purchasing factors, the satisfaction and demands of salted-cabbage, and to ascertain a marketing strategy for expanding the use of salted cabbage in food-service departments of schools. Self-administered questionnaires were collected from 131 buying agents who manage food materials for schools, and statistical data analysis was completed using the SPSS V.14.0 program. 46.9% of the participating respondents were from elementary schools, 27.7% from middle schools, and 25.4% were from high schools.. Most of the subjects (67.9%) recognized the salted cabbage retailed for foodservice, but 62.3% of these had not purchased them, due to both their lack of trust in the sanitation and raw material handling of the food product, and the high price. Respondents considered different factors when deciding whether or not to purchase: the origin (local or imported) of the cabbage, hygiene, and taste, as well as characteristics such as the cabbage weight, package weight, and package materials. The score of post-behavior intentions as well as overall satisfaction was rather high. Also, they perceived the need of strategic promotion for enlarging the market portion of salted-cabbage. These results will done the guidelines for diversifying the salted-cabbage market and for creating an added value of agricultural products in rural areas.
Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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2022.10a
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pp.191-193
/
2022
The advent of the 4th Industrial Revolution due to the trigger of digital technologies such as artificial intelligence and big data has caused many changes in society, culture, and industry. However, traditional markets in each region are not responding quickly to new distribution environments and consumer changes. In particular, in the case of traditional markets in Jeju, regional characteristics such as marketing strategies for tourists visiting Jeju have not been utilized. Therefore, this study proposes the establishment of a smart traditional market based on big data and artificial intelligence that utilizes the regional characteristics of Jeju. The research contents include customer profiling through visitor big data analysis, providing tourist movement results through traffic analysis, providing real-time popular product charts, and developing video-based fire and crime prevention functions.
Eunji Ko;Eunjin Jang;Jiwon Sim;Minjeong Jeong;Sohyun Park
Korean Journal of Community Nutrition
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v.28
no.6
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pp.495-508
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2023
Objectives: This study aimed to develop a campus-based intervention program to enhance food literacy (FL) among university students. Methods: In the initial phase, we conducted a literature review of FL intervention studies and held in-depth interviews with university students to identify facilitators and barriers to improving and practicing FL. Expert counseling sessions were conducted with nutrition education, marketing, and service design professionals. The results of this phase led to the creation of an initial curriculum draft. In the second phase, a follow-up survey was conducted with young adults to assess the acceptability of the developed curriculum. After the follow-up survey, additional meetings were conducted with the aforementioned experts, and the curriculum was further refined based on their input. Results: An 11-week FL intervention program was devised using constructs from the Social Cognitive Theory. The weekly curriculum consisted of 90-min theory-based and 90-min hands-on experience sessions. Three primary aspects of FL were covered: nutrition and food safety, cultural and relational dimensions, and socio-ecological aspects. Program highlights included cooking sessions for crafting traditional Korean desserts, lectures on animal welfare, insights into zero-waste practices, and communal eating experiences. Based on the study team's previous research, the program also addressed mindful eating, helping participants understand the relationship with their eating habits, and providing strategies to manage negative emotions without resorting to food. Yoga sessions and local farm visits were incorporated into the curriculum to promote holistic well-being. Conclusions: This study elucidated the comprehensive process of creating a campus-based curriculum to enhance FL among university students, a group particularly susceptible to problematic eating behaviors and low FL levels. The developed program can serve as a blueprint for adaptation to other campuses seeking to bolster students' FL.
As global competition is heating up and product life cycle has been rapidly shortened, each company pursues a variety of competitive technology innovations through different means of innovation. In this study, we assume that open innovation can be a shift motive of the technology innovation paradigm of small and medium enterprises (SMEs) being beyond the limitations of R&D within a company. We analyze the process and content of open innovation and performance. In addition, we identify the problems generated in the open innovation process and analyze the ways to strengthen open innovation. This study is based on the investigations into the technological competitiveness of local SMEs. The innovation ecosystem is analyzed from the perspective of product/service innovation, organizational innovation, and marketing innovation. Situational analysis is presented on the relationship between the innovation capabilities of information and communication technology SMEs and innovation performance.
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