This study investigated the role of YouTube in providing fashion information and explored how fashion companies and individual YouTubers used this platform to communicate with consumers and disseminate fashion contents. This research identified two main types of YouTube information providers: fashion companies and fashion YouTubers. It focused on characteristics of YouTube fashion information (such as informativity, novelty, usefulness, authenticity, and enjoyment) and their impact on consumer needs satisfaction, information satisfaction, and information acceptance. An online survey was conducted with female consumers aged 20 to 39 years, analyzing responses to assess how YouTube fashion information affected consumer behavior and decision-making. Using SPSS for statistical analysis, results indicated that usefulness and enjoyment significantly influenced information acceptance, particularly with fashion companies showing a stronger impact from usefulness, while authenticity and enjoyment were more influential for fashion YouTubers. Moreover, mediating effects of consumer needs satisfaction and information satisfaction on the relationship between fashion information characteristics and information acceptance were examined. Findings revealed that various characteristics had different mediating effects based on whether the information provider was a fashion company or a fashion YouTuber. Notably, enjoyment and authenticity played crucial roles in mediating consumer needs satisfaction. Overall, this study provides insights into how YouTube serves as a vital channel for fashion information, influencing consumer satisfaction and behavior. It also offers practical implications for fashion marketers on how to leverage YouTube effectively to meet consumer needs and enhance information acceptance, thereby proposing strategic marketing recommendations for fashion companies and YouTubers.
Han Seung-Heon;Lee Young;Kim Hyung-Jin;Ock Jong-Ho
Korean Journal of Construction Engineering and Management
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v.2
no.2
s.6
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pp.68-80
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2001
While opportunities for international construction firms have been growing with globalization, the risk of international construction projects is significantly increasing in severity and complexity. However, the traditional risk management approach in the construction industry has maintained a profit focus. In addition, this approach has not considered the overall risk at the corporate level, but rather has focused only on the risk of individuals at the project level. Corporate risk management should be implemented from the initial stages of new project selection. This paper suggests the Multi-criteria Integrated Systematic Analysis as a strategic decision-making tool for international construction contractors. The model integrates the multi-criteria of risk, return, and efficiency to choose the optimal set of new portfolios at the corporate level. This model also introduces the Value at Risk (VaR) concept to the international construction industry to present the total risk at the corporate level. To validate this model, this paper tested an experimental case study using the historical data of a global general contractor.
As the Concept "how environmental friendly" becomes more and more important in road construction. However, so far there is no estimation method. Environmental friendly concept can be incorporated at the plan level in order to influence decision making, and support policies that affect environment. The overall goal of this study was to develop environmental friendly concept measures for the national highway and to develop a methodology to implement a more environmental friendly concept. The research identified 8 performance measures through a project analysis that could address environmental impact assessment system's ten strategic goals - Topography, Wildlife, hydrology, landuse, air quality, water quality, soil, waste, noise, landscape. The qualitatively and quantitatively evaluation approach was selected as the decision support framework and performance measure were investigated using the AHP(Analytic Hierarchy Process) and pilot corridor for a 10 section and calculate the index values. The methodology was applied to a pilot corridor comprised of a 120km section of national highway in korea. The methodology made it possible to identify the specific performance measures that need improvement to enhance the overall environmental friendly concept. It is fairly intuitive, based on readily available data, and is easy to apply. It provides a powerful tool for government to assess the relative environmental friendly conceptof their transportation corridors now and in the future. It allows for comparisons within a corridor and with other corridors and identifies the improvements needed to enhance the environmental friendly concept.
The Journal of the Convergence on Culture Technology
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v.7
no.4
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pp.251-256
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2021
Currently, in the field of community service, it is expected that the demand will further increase in the future by enabling the form of providing various types of services. However, the local community service investment project is an abstract Although the structure for fair competition was created by introducing a market mechanism derived from the action or principle of psychology that affects human behavior in the field, systematic management and monitoring of the quality of social services is insufficient. The purpose of this study is to find out the relationship between service selection factors and service quality in order to improve the quality of social services in the consumer's way to meet these environmental needs, and to utilize the research results for quality improvement. The research model to be used in this paper measures the five element areas of service satisfaction such as reliability, responsiveness, empathy, certainty, and tangibility, which are used to measure the quality of local community service investment projects. In addition, we are various strategic implications that can induce the quality improvement of local community service investment projects are presented by finding the main factors of the four research hypotheses of this study and utilizing the results.
Journal of the Korean BIBLIA Society for library and Information Science
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v.28
no.4
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pp.321-340
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2017
The purpose of this study is to design a teaching model applying a problem-based learning model and to analyze the educational benefits that students felt. This study initiated a problem-based learning model from an analysis of existing studies. Through the consultation of experts, the scenario was modified. The problem was designed according to the design stage activity (problem analysis, PBL class suitability judgment, contents analysis, learner analysis, environment analysis, PBL operating environment decision, PBL class) and Strategic Design (problem situation design, learning resource design, Facilitation design, operational strategy design, evaluation design, PBL operating environment design). Based on the initial scenarios, the researcher analyzed the results of the problem - based learning through learners' reflective diaries. The researcher was able to confirm that the critical thinking and creativity were improved in the first PBL problem situation, and the method for smooth communication and cooperation was utilized. The results on analyzing the effects of education about the first problem-based learning and students' opinions about modification will be used for the second revision and supplement of the course design. This study introduces a case of PBL course development and expects further application and research.
Background: The incidence rate and the treatment costs of hepatocellular carcinoma (HCC) are high, especially in Thailand. Previous studies indicated that early detection by a surveillance program could help by down-staging. This study aimed to compare the costs and health outcomes associated with the introduction of a HCC surveillance program with no program and to estimate the budget impact if the HCC surveillance program were implemented. Materials and Methods: A cost utility analysis using a decision tree and Markov models was used to compare costs and outcomes during the lifetime period based on a societal perspective between alternative HCC surveillance strategies with no program. Costs included direct medical, direct non-medical, and indirect costs. Health outcomes were measured as life years (LYs), and quality adjusted life years (QALYs). The results were presented in terms of the incremental cost-effectiveness ratio (ICER) in Thai THB per QALY gained. One-way and probabilistic sensitivity analyses were applied to investigate parameter uncertainties. Budget impact analysis (BIA) was performed based on the governmental perspective. Results: Semi-annual ultrasonography (US) and semi-annual ultrasonography plus alpha-fetoprotein (US plus AFP) as the first screening for HCC surveillance would be cost-effective options at the willingness to pay (WTP) threshold of 160,000 THB per QALY gained compared with no surveillance program (ICER=118,796 and ICER=123,451 THB/QALY), respectively. The semi-annual US plus AFP yielded more net monetary benefit, but caused a substantially higher budget (237 to 502 million THB) than semi-annual US (81 to 201 million THB) during the next ten fiscal years. Conclusions: Our results suggested that a semi-annual US program should be used as the first screening for HCC surveillance and included in the benefit package of Thai health insurance schemes for both chronic hepatitis B males and females aged between 40-50 years. In addition, policy makers considered the program could be feasible, but additional evidence is needed to support the whole prevention system before the implementation of a strategic plan.
Since a movie is an experience goods, purchase can be decided upon preliminary information and evaluation. There are ongoing researches on what impact online reviews might have on movie revenues. Whereas research in the past was focused on the effect of online reviews. The influence of online reviews appears to be significant in products like a movie because it is difficult to evaluate the feature prior to "consuming" the product. Since an online review is regarded to be objective, consumers find it more trustworthy. Contrary to prior research focused on movie review ratings and volume, we focus moves on movie features related specific reviews. This research proposes a predictive model for movie revenue generation. We decided 15 criteria to classify movie features collected from online reviews through the online review mining and made up feature keyword list each criterion. In addition, we performed data preprocessing and dimensional reduction for data mining through factor analysis. We suggest the movie revenue predictive model is tested using discriminant analysis. Following the discriminant analysis, we found that online review factors can be used to predict movie popularity and revenue stream. We also expect using this predictive model, marketers and strategic decision makers can allocate their resources in more parsimonious fashion.
The purpose of this study was to analyze the Gap Between Knowing the importance of and the Actual Implementation of family-centered practices of social workers at local social welfare centers in Gyeonggi-do, and to explore strategies at the institutional level to improve these differences. To this end, a survey was conducted on 232 social workers at 54 community welfare centers in Gyeonggi-do, and the t-test and IPA analysis techniques were used. As a result of the study, first, the importance of family-centered practice of social workers at community welfare centers is highly recognized, but the current performance is low. Second, as a result of verifying the difference in importance-performance regarding family-centered practice, it was found that there were statistically significant differences in all of the 6 sub-factor areas and 18 detailed items of family-centered practice. Third, as a result of IPA analysis of the importance-performance of family-centered practice, at keep up good work(family decision making, comprehensive service), at possible overkill(family focus) was derived, at low priority(family strength, individualization), at concentrate here(cooperation with family) were for each sub-factor. Based on these results, an institutional strategic plan to improve the difference between the importance and performance of family-centered practice was suggested.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.17
no.2
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pp.65-80
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2022
Despite the uncertainty and risky factors of startups, the special and critical role of accelerators in carrying out professional nurturing and investment for them is becoming increasingly significant in the startup social-system. However, academic research on investment determinants that have a profound impact on the survival of accelerators is lacking, and there are only a few empirical studies on the classification and importance of factors, and they do not enjoy the benefits of theoretical studies. This study proposes a business model innovation framework based on the business model innovation theory that reflects the nature and properties of startups that are investment targets of accelerators and derives 12 investment decision factors. The framework defines that the target, direction, and performable force of startup innovation are a business model, strategy, and dynamic capability. Besides, the framework analyzes the investment decision factors of the existing accelerators based on the business model innovation framework to verify the suitability and sufficiency of the composition. As a result of the analysis, first, most of the items were faithfully composed from a static point of view of business model innovation, but it was found that the factors related to the core activities to evaluate the activity and customer relationship were insufficient. Second, from the strategic point of view, the necessity of developing factors that can encompass the definition and content of core resources, which are internal strategic factors, was raised. Third, from the dynamic point of view, it was found that many of the investment determinants of accelerators were concentrated on the lower level of dynamic competencies. This can be judged as a result of reflecting the characteristics of a startup that needs to develop a solution with few resources and a small number of team members. In addition, the roles and interrelationships between each factor are not clear, thus it was found as a limiting point for startups to view and evaluate the direction and process in which startups dynamically innovate their business models. This study is considerably differentiated in that it provides a business model innovation framework and offers a theoretical basis for investment determinants by deriving the investment determinants of accelerators based on the framework and design the foundation for subsequent research. The business model innovation framework presented in this study has great implications in that it contributes to the achievement of startups, accelerators, and startup support organizations.
The development of 5G technology, which is a next-generation communication technology capable of processing large amounts of data in real-time and solving delays, is drawing attention. Not only in the United States but also Korea, 5G is focused on supporting R&D as a national strategic technology. The strategy for the smart factory, one of the core services of the 5G, aims to increase the flexibility of manufacturing production lines. The existing wired communications devices can be replaced into wireless ones with the ultra-low-delay and ultra-high-speed characteristics of 5G. For the efficient development of 5G technology, it is necessary to keep abreast of the status and trend. In this study, based on the collected data of 1517 Korea patents and 1928 US patents, 5G technologies trend was analyzed and key technologies were identified by network analysis and topic modeling. We expect that it will be used for decision making for policy establishment and technology strategy of related industries to provide the trends of technology development related to the introduction of 5G technology to smart factories.
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