• Journal of Intelligence and Information Systems
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• v.28 no.1
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• pp.217-242
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• 2022

With the launch of Artificial Intelligence(AI)-based intelligent products on the market, innovative changes are taking place not only in business but also in consumers' daily lives. Intelligent products have the potential to realize technology differentiation and increase market competitiveness through advanced functions of artificial intelligence. However, there is no new product development methodology that can sufficiently reflect the characteristics of artificial intelligence for the purpose of developing intelligent products with high market acceptance. This study proposes a KANO-QFD integrated model as a methodology for intelligent product development. As a specific example of the empirical analysis, the types of consumer requirements for hair loss prediction and treatment device were classified, and the relative importance and priority of engineering characteristics were derived to suggest the direction of intelligent medical product development. As a result of a survey of 130 consumers, accurate prediction of future hair loss progress, future hair loss and improved future after treatment realized and viewed on a smartphone, sophisticated design, and treatment using laser and LED combined light energy were realized as attractive quality factors among the KANO categories. As a result of the analysis based on House of Quality of QFD, learning data for hair loss diagnosis and prediction, micro camera resolution for scalp scan, hair loss type classification model, customized personal account management, and hair loss progress diagnosis model were derived. This study is significant in that it presented directions for the development of artificial intelligence-based intelligent medical product that were not previously preceded.

• The Journal of Engineering Geology
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• v.33 no.2
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• pp.307-322
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• 2023

Rock-mass grouting plays a crucial role in the construction of dams and deep caverns, effectively preventing seepage in the foundations, enhancing stability, and mitigating hazards. Most rock grouting is affected by hydrogeological and rock engineering indices such as rock quality designation (RQD), rock mass quality (Q-value), geological strength index (GSI), joint spacing (Js), joint aperture (Ap), lugeon value (Lu), secondary permeability index (SPI), and coefficient of permeability (K). Therefore, accurate geological analysis of basic rock properties and guidelines for grouting construction are essential for ensuring safe and effective grouting design and construction. Such analysis has been applied in dam construction sites, with a particular focus on the geological characteristics of bedrock and the development of prediction methods for grout take. In South Korea, many studies have focused on grout injection materials and construction management techniques. However, there is a notable lack of research on the analysis of hydrogeological and rock engineering information for rock masses, which are essential for the development of appropriate rock grouting plans. This paper reviews the current state of research into the correlation between the grout take with important hydrogeological and rock engineering indices. Based on these findings, future directions for the development of rock grouting research in South Korea are discussed.

• The Korean Journal of Franchise Management
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• v.9 no.1
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• pp.41-51
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• 2018

Purpose - In franchise system, how to build the relationship between the franchisor and franchisee through influence strategy is very important, because it affects on the long-term orientation like recontract intentions. Thus, this study examines the effect of mandatory influence strategy on relationship satisfaction, relationship trust, and recontract intentions in the context of food-service franchise industry. This study suggests the guidelines on how franchisor uses their influence strategy on franchisee to maintain and increase the recontract intentions. Research design, data, and methodology - This study examines the structural relationship between mandatory influence strategy, relationship satisfaction, relationship trust, and recontract intentions from the franchisee's perspective. Mandatory influence strategy divide into three sub-dimensions such as request, legalistic plea, threat. In order to test the purposes of this study, research model and hypotheses were developed. Every constructs were measured by multiple items tested and developed in the previous research. Also, the constructs utilized in this research are measured using 7-point scales anchored by "1=strongly disagree" and 7=strongly agree". The data were collected from 496 owner and owner manager franchisees and were analyzed using SPSS 21.0 and Smart PLS 3.0. program. Analysis of frequency was conducted to identify the demographics and general characteristics of the survey subjects. In order to measure the reliability and validity of the measurement tools, confirmatory factor analysis and correlation analysis were conducted and structural model analysis was conducted to verify the proposed research model. Result - The results of this study are as follows. First, this research found that mandatory influence strategy is positively related to relationship satisfaction and relationship trust, but not to recontract intention directly. Second, this research also found that the full mediating role of relationship satisfaction and relationship trust between the mandatory influence strategy and recontract intention. Conclusions - The findings of this research indicate that franchisor should use properly mandatory influence strategy to improve recontract intentions through relationship satisfaction and relationship trust. Due to the nature of food-service franchise industry, which needs high relationship quality, franchisor must manage their franchisee using influence strategy in order to improve satisfaction and trust. If franchisee perceives higher relationship quality, they will show higher intention to recontract. At the end of this paper, limitations and future research directions were suggested.

• Journal of Korean Medicine Rehabilitation
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• v.33 no.3
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• pp.97-113
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• 2023

Objectives This study examined the trends in domestic and international research on the treatment of sarcopenia and analyzed the effectiveness of the treatment. Based on the results, we suggest directions for future Korean medicine research on sarcopenia. Methods The study was conducted using Arksey and O'Malley's scoping review methodology. It included three international databases (PubMed, EMBASE, Cochrane Library) and five domestic databases (Korean studies Information Service System, Korean Medical database, Oriental Medicine Advanced Search Integrated System, Research Information Sharing Service, ScienceON) were used. Literatures published until April 30, 2023, including the contents of 'sarcopenia' and Korean Medicine treatment', were searched. Results A total of 45 studies were included in the analysis. The number of studies on Korean medicine treatments for sarcopenia is steadily increasing, with the majority of studies coming from Asian countries. Of the 45 studies, 30 were conducted in the field of medicine, and the study design was analyzed into 10 clinical studies and 35 non-clinical studies. Among the 10 clinical studies, the most common treatment interventions were herbs (n=4), followed by Daoist exercises (n=3). The most common diagnostic criteria used in clinical studies were those published by the Asian working group for sarcopenia, and various physical examinations and laboratory tests were used as outcome measures. Conclusions The future direction of Korean medicine research on sarcopenia should be to expand the number of clinical studies applying Korean medicine treatment interventions.

• Information Systems Review
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• v.25 no.4
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• pp.265-290
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• 2023

Even though crowdfunding has become popular as a novel means of raising capital for early-stage ventures and startups through an Internet-based platform, it is unclear how a funder's characteristics, such as motivation and ability, influence their information processing and pledging decision. This study aims to propose and test a research model for determining the relationships between a funder's personal attributes, information processing style, and funding intention. To test the research model, we collected data from 139 Amazon Mechanical Turk participants through an online questionnaire survey. The findings indicate that a funder's self-efficacy has a positive effect on heuristic processing but has no significant effect on systematic processing. By contrast, a funder's personal relevance positively influences both systematic and heuristic processing. Furthermore, heuristic processing, as well as perceived value and perceived risk, influence pledging intentions positively. Our findings potentially contribute to improving the design of crowdfunding platforms to better support a funder's information needs. Based on our findings, we discuss the implications of our study as well as the directions for future research.

• Journal of agricultural medicine and community health
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• v.49 no.2
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• pp.132-145
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• 2024

Objectives: This study compares cases of Dalgubeol Health Care Project, 301 Network Project, and 3 for 1 Project based on program logic models to derive measures for promoting integrated healthcare and welfare services centered around medical institutions. Methods: From January to December 2021, information on the implementation systems and performance of each institution was collected. Data sources included prior academic research, project reports, operational guidelines, official press releases, media articles, and written surveys from project managers. A program logic model analysis framework was applied, structuring the information based on four elements: situation, input, activity, and output. Results: All three projects aimed to address the fragmentation of health and welfare services and medical blind spots. Despite similar multidisciplinary team compositions, differences existed in specific fields, recruitment scale, and employment types. Variations in funding sources led to differences in community collaboration, support methods, and future directions. There were discrepancies in the number of beneficiaries and medical treatments, with different results observed when comparing the actual number of people to input manpower and project cost per beneficiary. Conclusions: To design an integrated health and welfare service provision system centered on medical institutions, securing a stable funding mechanism and establishing an appropriate target population and service delivery system are crucial. Additionally, installing a dedicated department within the medical institution to link activities across various sectors, rather than outsourcing, is necessary. Ensuring appropriate recruitment and stable employment systems is needed. A comprehensive provision system offering services from mild to severe cases through public-private cooperation is suggested.

• Convergence Security Journal
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• v.24 no.2
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• pp.89-104
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• 2024

This study is an empirical study to examine the factors that influence the intention to use artificial intelligence (AI) technology for SW engineering-related tasks, and the purpose of the study is to understand the key factors that influence the use in terms of AI augmentation characteristics and interactive UI/UX characteristics. For this purpose, a survey was conducted among information and communication workers who have experience in using AI-related technologies and the collected data was analyzed. The results of the empirical analysis showed that perceived usefulness was positively influenced by the factors of expertise, interestingness, realism, aesthetics, efficiency, and flexibility, and perceived ease of use was positively influenced by the factors of expertise, interestingness, realism, aesthetics, and flexibility. Variety had no effect on both perceived ease of use and perceived usefulness. Perceived ease of use had a significant effect on perceived immersion, which positively influenced intention to use. These findings are significant in that they provide an academic understanding of the factors that influence the use of AI-enhanced tools in SW engineering-related tasks such as application design, development, testing, and process automation, as well as practical directions for the creators of tools that provide AI-enhanced development services to develop user acquisition strategies.

• Journal of the Korean Institute of Landscape Architecture
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• v.52 no.3
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• pp.33-45
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• 2024

The government is promoting the reorganization of the construction indusrty under the theme of reorganizing the production system. However, it has been pointed out that this is contrary to the increasingly specialized and technical skills of the landscaping field. Therefore, it is urgent to respond to the construction industry integration policy and improve an appropriate work system and the content of the landscape field. Therefore, this study investigated the intention of the industry to reorganize the production system and the production structure of the landscape field, so that it can be used as a reference for future changes. As a result of the survey, 1) the perception of the reorganization policy is a highly requesting step-by-step promotion that reflects the industry's will, 2) the system is divided into generalization and specialization and is highly opposed to integration, 3) appropriate design and construction costs are the most important directions for improving landscape construction projects, and 4) reestablishing the relationship with related civil engineering works is important for improving detailed construction types. Overall, it was pointed out that the current specialized landscape construction does not sufficiently reflect the changing landscape business and is only appropriate for subcontractors in other industries. Therefore, it is necessary to promote policies that reflect this. In the long run, it is urgent to establish the status of landscape construction as an independent object, and it is necessary to supplement the legal system and change the industry accordingly.

• Knowledge Management Research
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• v.25 no.1
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• pp.67-88
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• 2024

Smart tourism aims to maximize the utilization of local tourism resources, effectively manages cities and contributes to improving communication and quality of life between tourists and residents. Therefore, smart tourism emphasizes synergistic collaboration, considering both residents and tourists. This study explores smart tourism interaction and roles in enhancing regional competitiveness. By conducting thorough examination, focusing on integrating the four key elements of smart tourism city (smart experience, smart convenience, smart accessibility, and smart platform) with local residents, local businesses, regional resources, and ecosystem to foster positive synergies, Incheon smart tourism city project was employed as a single case study design. Research results indicate that the collaborative model of a smart tourism city positively impacts service satisfaction and strengthens regional tourism competitiveness. Building upon these results, this study aims to contribute to the development of smart tourism cities by proposing directions for future development and emphasizing the enhancement of regional competitiveness through the integration of smart technology and local tourism.

• Journal of Korean Elementary Science Education
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• v.43 no.2
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• pp.284-300
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• 2024

This study elucidates the achievement standards statements of the 2022 revised elementary school science curriculum to identify specific achievement standards for the upcoming curriculum. Therefore, the researcher analyzed the statements of the overall elementary school achievement standards based on Bloom's taxonomy of new educational objectives. The results are as follows. First, the achievement standards statements are biased toward certain knowledge and cognitive process dimensions; this aspect is not consistent with the goals of the 2022 revised curriculum and the teaching and learning directions of the science department. Thus, achievement standards that enable various types of activities and inquiry learning should be developed. Second, a need emerges for the hierarchization of knowledge and cognitive levels by grade level. The proportions of low levels of knowledge and cognitive process dimensions increased in the upper grades, such that a systematic hierarchy should be considered. Third, the need to diversify the use of the descriptors of achievement standards is also identified. Although the tendency to rely on specific descriptors decreased during the previous curriculum, approx imately half of the descriptors were only used once or twice. Therefore, balancing the use of various descriptors is necessary. To ensure that the results are reflected in the achievement standards for elementary school science textbooks under the revised science curriculum for elementary schools in 2022, a discussion is required on the design of achievement standards statements. As a follow-up study, the researcher proposes a comparative analysis of the achievement standards of science curricula for middle and high schools to explore the wording of achievement standards appropriate for elementary school science education considering its nature, goals, and contents and to analyze the hierarchy and continuity of the entire science curriculum.