• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.51-64
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• 2024

Recent studies have introduced that digital transformation positively impacts firm performance. However, research on the relationship between organizational capabilities or attitudes as antecedents or situational variables for successfully driving digital transformation remains limited. Therefore, this study aims to systematically analyze how dynamic digital capabilities and the mutual relationships between organizational members' digital acceptance influence firm performance throughout the process of driving and achieving digital transformation. Research design, data, and methodology: This study developed the concepts and measurement items for each variable based on prior research. A survey was conducted with 258 companies participating in mini clusters within industrial complexes across the county. The data was analyzed using a structural equation model with the AMOS software package. Results: Based on existing literature, hypotheses were formulated regarding the causal relationships among variables, and analysis was conducted. The results indicate that digital transformation and employees' technological acceptance play a mediating role in the relationship between dynamic digital capabilities and firm performance. Specifically, the organization's dynamic digital capabilities enhance both digital transformation and technological acceptance. Moreover, digital transformation leads to higher firm performance when technological acceptance is high. Conclusions: This study has shown the importance of enhancing dynamic digital capabilities as a prerequisite for driving digital transformation and highlighted the significance of organizational members' perceptions and attitudes toward information technology. Particularly, through detailed causal analysis among the specific items of each variable, insights were gained for both academic and practical applications.

• The Journal of Economics, Marketing and Management
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• v.12 no.4
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• pp.65-76
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• 2024

Purpose: This study aims to identify the relationship between SMEs' digital transformation capabilities, smart factory utilization, and management performance. It also aims to suggest how companies strategically utilize smart factories to achieve a competitive advantage and sustainable growth through empirical analysis of differences in innovation resistance and organizational characteristics. Research design, data, and methodology: This study Implement for SME's building smart factories did. The survey was conducted for 90days from October 1st, 2023 to December 31th, 2023. Total of 210 surveys were collected, and 186 surveys, excluding ones with missing value and outliers (64 surveys), were used. Results: The results of the empirical analysis based on previous research are as follows. First, digital transformation capabilities such as digital technology, digital leadership, and digital strategy affect smart factory utilization. Second, smart factory use affects operational performance. Third, innovation resistance has a moderating effect in the relationship with digital transformation capabilities, smart factory utilization, and management performance. Fourth, organizational characteristics have a moderating effect in the relationship with digital transformation capabilities, smart factory utilization, and management performance. Conclusions: Explore strategic ways to improve your organization's digital transformation capabilities. It is necessary to establish a strategy to make organizational members aware of the necessity and importance of introducing a new system through centralization of the organization.

• The Journal of Industrial Distribution & Business
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• v.15 no.9
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• pp.1-9
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• 2024

Purpose: This study examines the impact of YouTube mukbang content characteristics on viewer satisfaction and word-of-mouth behavior. Drawing from theories in media psychology, consumer behavior, and communication studies, we investigate five key content characteristics: credibility, entertainment value, informativeness, visual appeal, and auditory quality. Research design, data and methodology: Using structural equation modeling with data from 206 mukbang viewers, we test hypothesized relationships between these characteristics, viewer satisfaction, and word-of-mouth behavior. Results: Research reveal that credibility and informativeness significantly and positively influence viewer satisfaction, while entertainment value, visual appeal, and auditory quality show no significant effect. Viewer satisfaction positively impacts word-of-mouth behavior. These findings challenge conventional assumptions about video content consumption and highlight the unique nature of mukbang viewing. Conclusions: The study contributes to digital content consumption literature by providing empirical evidence of factors influencing viewer engagement in the mukbang context. It offers practical insights for content creators, marketers, and platform developers, emphasizing the importance of informative and credible content in driving viewer satisfaction and promoting positive word-of-mouth. By extending established media theories to this emerging form of digital entertainment, our research paves the way for future studies. The study's limitations, including its cross-sectional nature and specific cultural context, suggest directions for future research.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.3
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• pp.1-11
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• 2024

Purpose: The purpose of this study is to present an efficient emission reduction ratio of plastic to reduce carbon dioxide, the main cause of greenhouse gases. Research design, data and methodology: This study calculated the absolute value of carbon dioxide by setting an equation through the emission coefficient using the US EPA's WARM model. Results: In the recycling ratio of 70%, it was found that the energy recovery ratio was 15.6%, which was the energy recovery ratio without generating carbon dioxide. When carbon dioxide is generated by changing plastic waste emissions, optimal efficiency is achieved by reducing emissions by 10% to 30% of energy recovery ratio, 20% to 50% of energy recovery ratio, and 30% to 80% or more of energy recovery ratio. Conclusions: The recycling rate should be set at a minimum of 70%, so that a carbon dioxide-free energy recovery rate could be obtained during the recycling process, supporting an eco-friendly basis for environmental policies aimed at this rate. In addition, it was possible to suggest that it is essential to reduce emissions by at least 30% for eco-friendly recycling measures that can achieve both economic and environmental feasibility in the energy recovery process through incineration during recycling in Korea.

• Journal of Sport and Applied Science
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• v.8 no.3
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• pp.7-11
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• 2024

Purpose: This study sought to explore concepts and features of nature sports. In specific, this study reviewed literature discussing historical background of nature sport and its relationship with related fields including conservation, tourism, and education. Research design, data, and methodology: This study employed an integrated literature review approach. For this, the study collected prior studies and reports via google scholar. Further the collected studies were analyzed and major issues regarding concepts and features of nature sport were presented. Results: For results, various definitions of nature sports and similar activities were presented. The study found that nature sports labelled action sports, adventure sports, alternative sports, Californian sports, extreme sports, gravity sports, lifestyle sports, nature challenge activities, new sports, outdoor sports, panic sports, risk sports or whiz sports, among others. Nature sport involve interacting with a natural or material feature, rather than with other human beings. Furthermore, this study discovered features of nature sport, including nature based activities, sustainable activities, adventure and risk activities, hedonistic and non-competitive activities, and autonomous and individualistic activities. Conclusions: Nature sport has its own distinctive features compared with traditional sport, yet it shows similarities with constructive sport in terms of perceived benefits and so forth. Further implications were discussed.

• Asia pacific journal of information systems
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• v.34 no.2
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• pp.421-446
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• 2024

Through Information and Communication Technology (ICT), the growth of music streaming platforms has revolutionized music consumption. "Digital Shadow Work" (DSW) refers to unpaid labor in digital spaces, with some prior research on its aspects. However, a comprehensive understanding is hindered by limitations in existing studies such as a lack of universality and dynamic exploration. To address these gaps and enable a comprehensive investigation into the role of DSW within highly versatile digital applications such as digital streaming platforms, this study employs a grounded theory methodology, a qualitative approach well-suited for exploring the intricacies of DSW among users of Chinese music streaming applications over a two-month period, involving longitudinal interviews with nine participants. The study findings elucidate the dynamic nature of DSW perceptions, which fluctuate across different stages of use and change in intensity over time. This study uncovers mixed attitudes towards DSW tasks, and observes a waning enthusiasm for social features over time, prompting some users to consider switching platforms. This study highlights the importance of thoughtful and user-centric feature development to enhance user satisfaction and the understanding of DSW, providing practical design and enhancement implications for music streaming applications.

• The Journal of Korea Institute of Information, Electronics, and Communication Technology
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• v.13 no.2
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• pp.102-112
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• 2020

Smart City's goal is to solve urban problems through smart city's component technology, thereby developing eco-friendly and sustainable economies and improving citizens' quality of life. Until now, smart cities have evolved into component technologies, but it is time to focus attention on the needs and participation of citizens in smart cities. In this paper, we present a big data procedure for solving smart city problems based on citizens' needs and participation. To this end, we examine the smart city project market by region and major industry. We also examine the development stages of the smart city market area by sector. Additionally it understands the definition and necessity of each sector for citizen participation, and proposes a method to solve the problem through big data in the seven-step big data problem solving process. The seven-step big data process for solving problems is a method of deriving tasks after analyzing structured and unstructured data in each sector of smart cities and deriving policy programs accordingly. To attract citizen participation in these procedures, the empathy stage of the design thinking methodology is used in the unstructured data collection process. Also, as a method of identifying citizens' needs to solve urban problems in smart cities, the problem definition stage of the design sinking methodology was incorporated into the unstructured data analysis process.

• The Journal of Industrial Distribution & Business
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• v.9 no.3
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• pp.31-43
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• 2018

Purpose - With the technology of the 4th industrial revolution, business models of agricultural sector are changing rapidly toward convergence and high value-added business models due to the 6th industrialization of agricultural. Our goals is to examine the 6th industrialization of agriculture, and then to apply the technology of the 4th industrial revolution to the 6th industrialization of agriculture, suggesting the possibility of future agriculture, and then linking the export competitiveness of agricultural products. Research design, data, and methodology - As the methodology, case studies and empirical analyzes were conducted as well as literature studies. The case analyses included tomatoes, pig breeding farms, and an empirical analysis was conducted using the AHP analysis by experts of the 6th industrialization. In addition, using 124 survey data, this study examined and analyzed the items of the 4th industrial revolution technology for the 6th industrialization of agriculture and the strengthening of export competitiveness. Results - Results showed that the technology of the 4th Industrial Revolution helped "6th industrialization of agriculture" and "the strengthening of export competitiveness" using two successful cases. The AHP analysis was also carried out, and it was found that the improvement of the technology in the 4th industrial revolution could contribute to the future industrialization as well as the 6th industrialization of agriculture. First of all, we looked many conditions were important and urgent. Among the technologies of the 4th industrial revolution, the mobile, big data were important. Moreover, it was recognized that linkage and convergence related efforts would greatly contribute to strengthening export competitiveness of agriculture such as price and quality competitiveness. Conclusions - The 4th industrial revolution such as hyper-connectivity, hyper-intelligence and hyper-predictability contribute greatly to the 6th industrialization of agriculture, and therefore it is essential to improve the competitiveness of the agricultural sector by using the technology of the 4th industrial revolution. In particular, based on analyses of the diamond model, the "demand conditions" was the most important factor for the activation of the 6th Industrialization, and then "related and supporting fields", "factor conditions" and "business context" were followed in order. The results of this study can be useful for policy, practical and academic sectors.

• Journal of the Korea Convergence Society
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• v.11 no.2
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• pp.225-230
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• 2020

Using the 3D printing method in the product manufacturing is a very innovative and useful technology. However, in the field of jewelry, it is a limited technology used only in a field of manufacturing process. To overcome this limitations in the jewelry production process, most popular and easy 3D printing method was selected, and the printing time and condition was limited. In this study, to find out the 3D printing method applicability to jewelry work manufacturing, the prototypes through casting and non-casting methods were completed and compared. As a result, the FDM printing method has a very positive advantage in terms of cost and time, but there is a disadvantage that the layered structure is not erased on the surface and the completeness of the surface forming is poor due to the residue of the filament generated during the printing process. The DLP printing method has the advantage that the surface treatment is even and completion is high, while the cost and time are inefficient. However, both printing methods were found to be suitable for the use of jewelry manufacturing, and if the efficient printing method was selected for the design of the jewelry in the future, better work research could be conducted.

• Food Science and Preservation
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• v.18 no.5
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• pp.755-763
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• 2011

This study was conducted to monitor the quality characteristics Citrus unshiu ethanolic extracts by a response surface methodology. In extraction conditions based on the central composite design with variations in ethanol concentration (0~100%), extraction temperature($35\sim95^{\circ}C$), and ratio of solvent to sample(20 mL/g). The maximum value of yield was 36.31% at $93.18^{\circ}C$, 67.13% of ethanol concentration. The extraction yield and total polyphenol content were improved with the increase of ethanol concentration than extraction temperature. Total flavonoid content was improved with the increase of extraction temperature than ethanol concentration. The coefficients of determinations($R^2$) were 0.8646(p<0.1) and 0.9153(p<0.05) in electron donating ability and hesperidin content, respectively. Estimated conditions for the maximized extraction including yield, total polyphenol content, total flavonoid content, electron donating ability, and hesperidin content were 55~73% in ethanol concentration, $89\sim95^{\circ}C$ in extraction temperature, and 20 mL/g in ratio of solvent to sample.