• International journal of advanced smart convergence
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• v.12 no.4
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• pp.353-360
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• 2023

This paper explores notable shifts in the restaurant startup market following the lifting of social distancing measures. Key trends identified include an escalated interest in startups, a heightened focus on the quality and diversity of food, a relative decline in the importance of delivery services, and a growing interest in specific industry sectors. The study's data collection spanned three years, from April 2021 to May 2023, encompassing the period before and after social distancing. Data were sourced from a range of online platforms, including blogs, news sites, cafes, web documents, and intellectual forums, provided by Naver, Daum, and Google. From this collected data, the top 50 words were identified through a refinement process. The analysis was structured around the social distancing application period, comparing data from April 2021 to April 2022 with data from May 2022 to May 2023. These observed trend changes provide founders with valuable insights to seize new market opportunities and formulate effective startup strategies. In summary, We offer crucial insights for founders, enabling them to comprehend the evolving dynamics in food service startups and to adapt their strategies to the current market environment.

• Asia pacific journal of information systems
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• v.32 no.4
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• pp.830-856
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• 2022

The Digital Government landscape is changing to reflect how governments try to discover innovative digital solutions, and how they transform themselves in the process. In addition, with the advent of information and communication technology (ICT), e-governance became an essential part of the government. Among the services provided by the Korean government, the Minwon24 online portal is the most used one. However, it has some processing limitations, namely: (1) it provides a cumbersome document authenticity service; (2) people cannot know what happened even if the agency handles the documents arbitrarily. To address the issues outlined above, blockchain processing can be a good alternative. It has a tremendous potential in that it has maximum transparency and a low risk of being hacked. Resource management is one of the areas where blockchain is frequently used. The present study suggests a new model based on blockchain for Minwon24; the proposed model is a type of resource management. There are three participants: issuer, owner and receiver. The proposed model has two stages: issuing and exchanging. Issuing is creating civil documents on the database, which is BigchainDB in this study. Exchanging, the next stage, is a transaction between the owner and the receiver. Based on this model, the actual program is built with the programming language Python. To evaluate the model, the study uses various criteria and it shows the excellence of the model in comparison to others in prior research.

• Journal of The Korean Association For Science Education
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• v.27 no.2
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• pp.105-119
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• 2007

Several studies have attempted to test students' misconceptions of physics and to provide teaching strategies in order to repair them. The results from these studies have revealed that the diagnosis of students' misconception is crucial, although they often failed to grasp the practice of its implementation. In terms of being a type of methodology for science education, the Internet allows large-scale surveys and investigations to be carried out in a relatively short period of time. This paper reports the results of the development, implementation, and evaluation of a WEb-based SYStem for TEsting students' Misconceptions in physics (WEBSYSTEM) aimed at three groups (science educational researchers who study students' physics conceptions using the system as a detector, school science teachers who practice it as an instructional material, and students who benefit from it for their self-directed learning). The web-based testing system is based on a review of the instructional development strategies of ADDIE (Gustafson, Branch, 2002; Rha, Chung, 2001). Results showed that WEBSYSTEM could work effectively as a multi-purposed tool for the three target groups with a further partial revision, providing educational researchers with resourceful data to study students' misconceptions in physics. Issues of administrative strategies, reexamination of questionnaires, and international collaboration via WEBSYSTEM are discussed.

• Journal of the Korean Society of Food Culture
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• v.39 no.1
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• pp.38-52
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• 2024

This study investigated relationships between personality types and job satisfaction, and performance among school food service dietitians. An online survey was conducted on 200 school dietitians from March 1 to 31, 2022. Of the personality type factors, extraversion, openness, agreeableness, and conscientiousness were positively correlated with job satisfaction, whereas neuroticism was negatively correlated. Extraversion, openness, agreeableness, and conscientiousness were positively correlated with job performance, whereas neuroticism was negatively correlated. Regression analysis conducted to determine the effects of personality types on job satisfaction revealed conscientiousness predicted satisfaction with items of the job, agreeableness predicted satisfaction with supervisor's supervision, and extraversion predicted satisfaction with colleagues. On the other hand, neuroticism was a negative predictor of satisfaction with the job, supervisor's supervision, colleagues, and work environment items. Analysis of the effects of personality types on job performance established that openness was a positive predictor of satisfaction with roles of the organization and team, and of conscientiousness for the job, innovator, and organizational roles. In contrast, neuroticism negatively predicted satisfaction with job role items. Further studies are required to explore these relationships more closely by incorporating other major factors related to personality characteristics, job satisfaction, and job performance of dietitians working in various fields.

• Journal of Distribution Science
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• v.22 no.7
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• pp.107-117
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• 2024

Purpose: Consumers have become more interested in eating organic food in recent decades because of the effect of merchants' advertising. Eating organic food is also shown to strengthen immunity, especially during the recent COVID-19 pandemic. However, consumers may find it more difficult to choose organic food retailers than to purchase conventional goods. This is because of the uncertainty characterizing the process of selecting organic food retailers, despite the growing rivalry across supermarket chains that sell organic goods. This study explores how consumers' perceived image (social responsibility and ability image) of organic food stores affects consumer loyalty. Research design, data and methodology: The data for the analysis were collected using Macromill Embrain, an online research service agency. The data were analyzed using SPSS 26 and Smart PLS 4.0. Results: Based on structural equation modeling, the findings of the study demonstrate that store image positively impactsstore loyalty, and that the mediator (perceived value) affects the relationship between the two variables. Conclusions: Organic food stores must understand consumers to improve store loyalty. Efforts such as providing a user community that enables joint behavior by sharing experiences among customers or launching campaigns to improve consumers' perceived brand identity can increase store loyalty.

• Quality Improvement in Health Care
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• v.29 no.2
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• pp.64-84
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• 2023

Purpose:Plaster splints are routinely performed in the Emergency Department (ED) and avoidable complications such as skin ulcerations and fracture instability arise mainly due to improper techniques. Despite its frequent use, there is often no formal training on the fundamental principles of plaster splint application for a medical officer rotating through ED. We aim to use Quality Improvement (QI) methodology to reduce number of incorrect plaster splint application to improve overall patient care via a bundled educational solution. Methods: We initiated a QI program implementing concepts derived from the Institute for Healthcare Improvement models, including Plan-Do-Study-Act (PDSA) cycles, to decrease the rate of incorrect plaster splint application. A bundled education solution consisting of three sequential interventions (practical teaching session, online video lecture and quick reference cards) were formulated to specifically target critical factors that had been identified as the cause of incorrect plaster splints in ED. Results: With the QI intervention, our overall rate of incorrect plaster splints was reduced from 84.1% to 68.6% over a 6-month period. Conclusion: Following the QI project implementation of the bundled educational solution, there has been a sustained reduction in incorrect plaster splints application. The continuation of the training program also ensures the sustainability of our efforts in ED.

• Journal of Korea Society of Digital Industry and Information Management
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• v.20 no.2
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• pp.37-47
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• 2024

The food tech market, which uses artificial intelligence robots for the restaurant industry, is gradually expanding. Among them, the robot barista, a representative food tech case for the restaurant industry, is characterized by increasing the efficiency of operators and providing things for visitors to see and enjoy through a 24-hour unmanned operation. This research was conducted through text mining analysis to examine trends related to robot baristas in the restaurant industry. The research results are as follows. First, keywords such as coffee, cafe, certification, ordering, taste, interest, people, robot cafe, coffee barista expert, free, course, unmanned, and wine sommelier were highly frequent. Second, time, variety, possibility, people, process, operation, service, and thought showed high closeness centrality. Third, as a result of CONCOR analysis, a total of 5 keyword clusters with high relevance to the restaurant industry were formed. In order to activate robot barista in the future, it is necessary to pay more attention to functional development that can strengthen its functions and features, as well as online promotion through various events and SNS in the robot barista cafe.

• International journal of advanced smart convergence
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• v.13 no.1
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• pp.108-113
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• 2024

The purpose of this study is to analyze user perceptions of tourism platforms through big data. Data were collected from Naver, Daum, and Google as big data analysis channels. Using semantic network analysis with the keyword 'tourism platform,' a total of 29,265 words were collected. The collection period was set for two years, from August 31, 2021, to August 31, 2023. Keywords were analyzed for connected networks using TexTom and Ucinet programs for social network analysis. Keywords perceived by tourism platform users include 'travel,' 'diverse,' 'online,' 'service,' 'tourists,' 'reservation,' 'provision,' and 'region.' CONCOR analysis revealed four groups: 'platform information,' 'tourism information and products,' 'activation strategies for tourism platforms,' and 'tourism destination market.' This study aims to expand and activate services that meet the needs and preferences of users in the tourism field, as well as platforms tailored to the changing market, based on user perception, current status, and trend data on tourism platforms.

• Journal of Home Health Care Nursing
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• v.31 no.1
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• pp.66-76
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• 2024

Purpose: This study aimed to develop and evaluate an integrated management program to enhance self-efficacy, compliance with sick-role behaviors, symptom management, and biomarker indication in hemodialysis patients. Methods: The integrated management program was developed through a systematic review of literature, analysis of relevant online data, and expert validation. It comprised 480 min of video-based education delivered eight times over four weeks, supplemented by weekly phone consultations and text message support from a nurse. To evaluate the program's effectiveness, it was administered to 44 patients with hemodialysis in a single group in a pre-post test experimental study. Changes in self-efficacy, sick-role behavior compliance, dialysis symptom index, and biomarkers were assessed. Results: The program yielded statistically significant improvements in self-efficacy (t=-7.13, p<.001), sick-role behavioral compliance (t=-7.35, p<.001), dialysis symptom index (t=4.32, p<.001), and blood urea nitrogen levels (t=2.55, p=.014) among the participants. Conclusion: The integrated management program is an effective intervention for improving hemodialysis patients' self-efficacy, compliance with sick-role behaviors, and experience of symptoms. Additionally, it is considered an intervention with high clinical applicability and efficiency through video reproducibility.

• The Journal of Economics, Marketing and Management
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• v.12 no.5
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• pp.91-103
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• 2024

Purpose: This study analyses the key variables that influence tourists' intention to re-participate in wellness tourism. To this end, a theoretical model is developed that is grounded in the theories of perceived value and perceived risk. Additionally, this study segments the market based on tourists' health consciousness and health status, examining the differences in the process of forming re-participation intentions. Research Design, Data, and Methodology: An online survey of 305 Japanese respondents was conducted, and the research model and hypotheses were validated using SmartPLS 4 and SPSS. Results: The findings illustrate that perceived functional, social, emotional, and epistemic values from previous wellness tourism experiences positively influence tourists' attitudes, whereas time risk negatively affects them. Furthermore, functional value and attitudes enhance re-participation intentions, whereas financial risk decrease them. Cluster analysis identified three groups: 'Health-Conscious but Unwell'; 'Not Health-Conscious and Unwell'; and 'Health-Conscious and Well'. Those who are 'Health-Conscious and Well' are more likely to re-participate if they are satisfied with the functional value of their wellness tourism experience. Conclusions: The findings of this study offer destination marketers and service providers valuable insights into how tourists form behavioural intentions and how to strategically allocate resources to maximise the potential of wellness tourism.