• Journal of Korea Society of Industrial Information Systems
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• v.27 no.4
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• pp.127-136
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• 2022

As technological development continues, platforms with more diverse structures are emerging. Existing research predicts that a new structure based on technology and innovation will affect the two-sided market. This study evaluated the decentralized identifier (DID) platform, a new platform based on blockchain technology, of the importance of this platform from the perspective of the two-sided market. Using the Analytic Network Process, IT, platform, and blockchain experts conducted a dual comparison survey. Data with a consistency ratio value of 0.1 or less were selected and analyzed for 12 data. The research results showed the importance of service quality, policy support, openness, and uncertainty. This study is expected to be used to support the development of strategic decision-making for blockchain and DID platform-based business companies.

• Journal of the Korea Society of Computer and Information
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• v.14 no.4
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• pp.141-152
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• 2009

This research conducted research on the provision of the strategic information for the companies' financial and accounting parts among the functions that are provided by the ERP, elements related to the adoption of financial information system that influence and that supports decision-making and management performance. The results of this research are as follows. First, organization's degree of decentralization among the organization structure's characteristics and the element of information technology infrastructure among the information technology characteristics does not affect financial or non-financial performance. Second, financial information characteristics do not affect financial performance partially, Third, organization's size does not play the role of adjuster when it comes to the financial performance. Fourth, some research variables used on this research were not analyzed as important elements that influence financial performance, but the analysis showed that they mostly influence non-financial performance, which means that these are what could be considered strategically when adopting financial information system in the future.

• Asia-pacific Journal of Multimedia Services Convergent with Art, Humanities, and Sociology
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• v.7 no.1
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• pp.69-76
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• 2017

Recently, it is difficult for a firm to survive and maintain sustainable competitive advantage through internal R&D only, because changes in the environment are very fast and complex. Accordingly, the paradigm of open innovation is gradually emphasized, and the ratio of external R&D has been increasing in various industries. This study analyzed open innovation through Korean Innovation Survey (KIS) data from Science and Technology Policy Institute (STEPI). We confirmed the ratio of open innovation based on firms of the manufacturing industry in South Korea, and examined the relationship between open innovation and innovation performance. This study suggests that open innovation is not a new paradigm that did not exist in the past. While the use of government support programs positively influence innovation performance, the use of external R&D doesn't influence innovation performance due to the difficulties associated with managing it. The results of this study will be used to establish the strategic direction and support the decision making when firms conduct innovation activities in the future.

• The Journal of Bigdata
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• v.7 no.2
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• pp.43-73
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• 2022

In order to improve productivity, reduce costs, and improve decision-making efficiency, which are one of the main contents of the digital transformation promotion goal, many companies are promoting the introduction of various IT for digital transformation. Information technology (IT) is a key means of determining competitiveness, and the IT adoption worldwide is increasing every year. The financial industry is also actively introducing huge amounts of IT every year to generate profits, improve work efficiency, and secure a strategic competitive advantage. Compared to some studies on the IT adoption in the public and corporate sectors, empirical studies that reflect the characteristics of the financial industry are insufficient. In this study, the purpose of this study was to derive factors affecting the IT adoption in the financial industry for the promotion of digital transformation, and to analyze weights and priorities. By revealing through data analysis that there is a difference in the relative priorities of factors in the financial IT adoption for each group, it can be used as a reference model for which factors should be considered prior to IT adoption from the perspective of each group. It will be meaningful in that it exists.

• The Korean Journal of Franchise Management
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• v.14 no.4
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• pp.35-50
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• 2023

Purpose: This study aims to uncover the mechanism of how initial fees are determined in the restaurant franchise business. Since the initial fees can be considered as a price of utilizing business models and operational knowledge of a certain franchise brand, it is critical to understand the fee decision-making process based on the strategic pricing theories. Therefore, this study investigates the influence of operational value on the determination of initial franchise fees grounded on a value-based pricing strategy. The Operational value is specifically categorized into profitability, growth, and stability of the franchise system. Research design, data, and methodology: The data used were collected through franchise disclosure documents and brand equity index provided by Korea Management Association Consulting. Data from 44 franchise restaurants during 2018 to 2021 are included in the sample. The panel dataset was analyzed by using generalized least squares estimation with R-Studio. Results: Profitability and stability positively influence initial franchise fees. However, growth did not influence initial franchise fees. Conclusions: The results of the study demonstrate that the operational value plays a critical role in determining the franchise fees. Specifically, franchisees recognize how much revenue a franchise system generates for them (i.e., profitability) and how stable the entire system is for operating business (i.e., stability) when they make purchasing decisions for franchise. The findings extend the pricing literature by applying pricing theories in the franchise fee context. Also, the study contributes to franchising and restaurant management literature by providing knowledge of how franchise fees are determined.

• Korean Medical Education Review
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• v.25 no.3
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• pp.198-211
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• 2023

Health systems science (HSS) is recognized as the third pillar of medical education. alongside basic and clinical sciences. Today's physicians must also be systems thinkers who are able to discern how social, economic, environmental, and technological forces influence clinical decision-making. This study aimed to propose strategies for structuring an HSS curriculum that is tailored to the Korean healthcare and medical education context. First, the authors of this study conducted a survey to identify the present curricular contents of HSS related education at Korean medical schools. Second, a needs assessment was performed to determine the necessity of HSS competencies, as well as the prerequisites for the seamless integration of HSS into the existing curriculum. Third, literature reviews on HSS education at 14 US medical schools and expert consultations was conducted. We would like to propose a set of strategic approaches, classified into two levels: comprehensive and partial restructuring of the current medical curriculum to incorporate HSS. The partial restructuring approach entails a gradual, incremental incorporation of HSS content, while maintaining the current curricular structure. In contrast, a complete overhaul of the curriculum may be ideal to build HSS as the third pillar of medical education, but its feasibility remains relatively limited. The partial reorganization approach, however, has the advantage of being highly feasible. Collaborative efforts between professors and students are imperative to collectively devise effective methods for the seamless integration of HSS into the existing curriculum.

• The Journal of Economics, Marketing and Management
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• v.11 no.5
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• pp.69-80
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• 2023

Purpose: The purpose of this study is to identify factors that affect decision-making for e-commerce users and to present ecommerce companies with the company's strategic directions for consumer purchases. Research design, data, and methodology: In this study, a structured research model was derived to confirm the relationship between brand image, product liking, heuristic and purchase intention and the difference according to psychological power. For analysis a total of 212 valid questionnaires from e-commerce users were used. confirmatory factor analysis, correlation analysis, and structural equations were conducted to verify. Results: Both brand image and product liking had a significant effect on purchase intention as well as heuristics. However, heuristics did not affect the purchase intention. It was found that the relationship between brand image, product liking, heuristic, and purchase intention differed depending on the psychological power. Conclusions: Companies should seek ways to increase the positive brand image and likability of products so that consumers can quickly purchase products. In the relationship between brand image and heuristic, the low-psychological group has more influence on heuristic, and in case of product liking, the high-psychological group has more influence on heuristic. In the relationship between brand image and product liking for purchase intention, both in the high psychological power group affect more influence on purchase intention. Since the process of purchasing products varies depending on the consumer psychological power tendency, it is necessary to identify the characteristics of consumers and establish strategies for purchasing promotion measures.

• Journal of Fashion Business
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• v.28 no.3
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• pp.16-33
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• 2024

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.

• Journal of Smart Tourism
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• v.4 no.2
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• pp.5-14
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• 2024

This study explores the transformative potential of machine learning (ML) and ML-driven data analytics in the hospitality industry. It provides a comprehensive overview of this emerging method, from explaining ML's origins to introducing the evolution of ML-driven data analytics in the hospitality industry. The present study emphasizes the shift embodied in ML, moving from explicit programming towards a self-learning, adaptive approach refined over time through big data. Meanwhile, social media analytics has progressed from simplistic metrics deriving nuanced qualitative insights into consumer behavior as an industry-specific example. Additionally, this study explores innovative applications of these innovative technologies in the hospitality sector, whether in demand forecasting, personalized marketing, predictive maintenance, etc. The study also emphasizes the integration of ML and social media analytics, discussing the implications like enhanced customer personalization, real-time decision-making capabilities, optimized marketing campaigns, and improved fraud detection. In conclusion, ML-driven hospitality data analytics have become indispensable in the strategic and operation machinery of contemporary hospitality businesses. It projects these technologies' continued significance in propelling data-centric advancements across the industry.

• Information Systems Review
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• v.10 no.1
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• pp.135-164
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• 2008

This research is to offer a structured yet practical ex-ante evaluation methodology for IT investment. Benchmarking the best practices of four Korean organizations, we try to integrate core processes, relevant measures, and evaluation dimensions into a consistent and wholesome body of evaluating methodology. The best practices we considered encompass a wide range of business enterprises, including for-profit, non-profit, service-oriented, and manufacturing entities. The proposed methodology consists of three stages; the first stage checks the validity of investments by looking into comprehensiveness of planning, willingness to accomplish, justifiable grounds for the investments, overlapping investments, and obstructing risks; the second do so by putting an IT investment into economic, strategic, and technological perspectives; and the last third would produce a unified quantity that summarizes outcome of the previous stages. Incorporating the proven knowledge, guidelines, and quantifying tools, the methodology could make a valuable reference model for IT evaluation practitioners who have been bedeviled by having to going through such ex-ante evaluations.