Kim, Deok-Hyeon;Ha, Ji-Young;Lee, Seung-Hyun;An, Wook-Hyun
Journal of Distribution Science
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제12권8호
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pp.83-90
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2014
Purpose - Increasing sales of PB rice products can hinder the growth of domestic brands of rice, notwithstanding that the government is promoting domestic brands of rice. This analysis evaluated the influencing relationship among the variables of PB image, product credibility, and purchase intention of consumers who have never bought PB rice, to know the factors influencing consumers' decisions to purchase PB products. Research design, data, and methodology - PB products' brand image was analyzed as the factor that has a direct effect on purchase intention. The mediation effect of credibility on PB products is also analyzed, in terms of influencing the relationship between PB products' brand image and purchase intention. The analysis is performed on consumers that have not purchased a PB product and consumers who have purchased PB products from major distributors. Data is collected through questionnaires, from 389 of responders, and the AMOS 19.0 statistics package is used as a statistical tool. Results - It is proven that brand image has direct effects on the credibility of the product, and the credibility of product has a direct effect on purchase intention. However, it is revealed that brand image does not directly affect purchase intention, but that brand image indirectly affects it through the credibility of the product. Although the customers' recognition about PB image is low, the result shows that PB products' external attributes have effects on customers' purchase intention relating to the PB product. Therefore, it is important to establish the credibility of the PB product more than other products in terms of marketing. Conclusions - The following are the implications of the study. First, in a rice brand promotion, the credibility of the product should be ensured by a uniform brand image. To ensure the credibility of a product, the RPC brand and other brands should be unified, and the unified brand image should be applied to every product. Second, the package must possess a design as well as contents that could build consumers' perception of product credibility. Products' external attributes contribute to their credibility, which leads the consumers to purchase the products, including those consumers who have never bought PB rice products. Therefore, the products' credibility and sales can be reinforced by applying information about consumers' considerations when buying the PB rice product in different colors, font sizes, and packaging designs. This study is meaningful in two ways. First, it seeks to identify an NB revitalization strategy by exploring the purchasing behavior of customers who have no experience in buying PB rice products. Second, the results of previous studies about general brands are considered and applied in this study in order to investigate the influencing relationship among different factors of PB products. However, this study is a consumer awareness investigation; therefore, its results only have limited meaning to the relationship between brand image and purchase intention.
Journal of the Korean Society of Food Science and Nutrition
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제44권1호
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pp.152-159
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2015
The purpose of this study was to analyze how consumers make links between convenience meat products and self-relevant consequences and value. Surveys on convenience meat product consumption patterns and hard laddering based on means-end chain theory were conducted from April 21 to April 25, 2014 and targeted 200 consumers in the US. The most preferred cooking method of convenience meat product was roast (25.9%) and the most common information medium was suggestions by friends and parents (37.1%). The main as well as desired places of purchasing were both the supermarket (33.6% and 27.3%, respectively). The most preferred promotion method was free sample events (38.5%). From analyzing means-end chains of convenience meat products, the most dominant value chain was 'taste (A)'-'good taste (C)'-'feel good (V)'. These results show that consumption of convenience meat products will increase when consumer expectations of taste and satisfaction are met. Further, results of the value measurement provide information on consumer satisfaction and needs and can be applied to set marketing strategies for Korean style convenience meat products.
As the Great Reset is discussed at the World Economic Forum due to the COVID-19 pandemic, artificial intelligence, the driving force of the 4th industrial revolution, is also in the spotlight. However, corporate research in the field of artificial intelligence is still scarce. Since 2000, related research has focused on how to create value by applying artificial intelligence to existing companies, and research on how startups seize opportunities and enter among existing businesses to create new value can hardly be found. Therefore, this study analyzed the cases of startups using the comprehensive framework of the multi-level perspective with the research question of how artificial intelligence based startups, a sub-industry of software, have different innovation patterns from the existing software industry. The target firms are gazelle firms that have been certified as venture firms in South Korea, as start-ups within 7 years of age, specializing in machine learning modeling purposively sampled in the medical, finance, marketing/advertising, e-commerce, and manufacturing fields. As a result of the analysis, existing software companies have achieved process innovation from an enterprise-wide integration perspective, in contrast machine learning technology based startups identified unit processes that were difficult to automate or create value by dismantling existing processes, and automate and optimize those processes based on data. The contribution of this study is to analyse the birth of artificial intelligence-based startups and their innovation patterns while validating the framework of an integrated multi-level perspective. In addition, since innovation is driven based on data, the ability to respond to data-related regulations is emphasized even for start-ups, and the government needs to eliminate the uncertainty in related systems to create a predictable and flexible business environment.
To achieve a data-driven policy decision-making system, the Ministry of Strategy and Finance has formed a marketing team and is actively building upon it. This system, currently under construction, will enable data-driven financial tasks beyond simple financial administration. The U.S. has already enacted The Foundations for Evidence-Based Policymaking Act in the process of similar pursuits. Since last year, the data-driven system administrative law has been enacted in Korea, and a legal framework has been established for data-driven administrative work. The next-generation budget accounting system to fulfill its role as a data-driven system needs public policy support to operate. Innovation and transformation are needed in various areas such as data management, legal system, and installation of related systems. Accordingly, it is very timely to analyze the financial systems and policies of advanced countries such as the U.S. and U.K., which already have established and operates such a financial system. By benchmarking and applying existing financial information systems to the next-generation budget accounting system, a better system will result. In this study, major developed countries, including the U.S., U.K., France, and Canada were benchmarked and analyzed in terms of the main elements of data governance: public policy, systems, legal framework, promotion system, and service level. It was discovered that the role and direction of the national fiscal policy system that the people favor should be able to respond quickly to the recent difficult economic crisis environment such as the digital transformation trend and COVID-19.
Journal of the Korean BIBLIA Society for library and Information Science
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제30권1호
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pp.77-99
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2019
In this study, development directions for smooth introduction of transferring non-specialized libraries to specialized libraries are suggested based on the analysis conducted on non-specialized library librarians and users to investigate and analyze the comparative requirements for specializing libraries, specialization topics, demand for spaces and programs for specialization and view of important factors of each area when operating specialized libraries in future. As a result, first, when introducing a specialized library, it is necessary to derive a specialized topic that can identify and provide the characteristics of the region and the status of existing library. And a demand analysis. Based on this, the subject should be selected through the demand survey of the local residents. Second, from the stand point of targeted subjects of specialized service, it is necessary to provide tailored services by understanding the service range for each age group based on local population distribution and library user analysis. Third, experience-type, lecture-type and view-type can be suggested for specialized programs, considering the characteristics of the specialized subject field. It is ideal to operate combination of the three based on the subject filed details. Also, the characteristics of the subject and the types of program should be considered for specialized spaces. Finally, in order to systematically operate and promote specialized libraries, allocating dedicated personnel, linking with other institutions and strategies of promotion and marketing should be considered.
Journal of the Korea Academia-Industrial cooperation Society
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제22권2호
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pp.212-220
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2021
National R&D investment has steadily increased, reaching number 5 in the world as of 2018. However, for public technology commercialization, the level of discovery of policy models through various cooperation initiatives between government ministries is insufficient, and the performance system that can spread technology commercialization is also limited. In this respect, in order to create results in public technology commercialization, it is necessary to prepare alternatives to strengthen multi-ministerial policy cooperation and increase policy execution power. In this paper, we analyzed the current state of national R&D projects by major ministries and suggested an optimized technology commercialization plan through analysis of the structure, budget, and form of each project. In particular, an alternative in terms of policy efficiency was suggested by analyzing the problems of policy discovery that have not been studied previously. This study is of great significance in that it diagnosed problems of public technology commercialization in terms of the lack of systematic research on public technology commercialization and suggested policy advancement for the spread of technology use and the strategic direction in terms of commercialization.
The purpose of this study is to examine the current operation condition of fashion start-up companies and the characteristics of their founders in Fashion Creative Studio that is one of government programs supporting fashion start-up of rising fashion designer's brands in Korea and one of supporting facilities. For this purpose, this study surveyed 32 fashion start-up companies founders in Busan Fashion Creative Studio and analyzed the data based on the survey. The results are as follows. First of all, 82% of the founders have experience to start their business in 20s and 60% of founders with not more than 3 to 5 years of work experience related to fashion challenge to start a business. Secondly, major distribution channels of the fashion start-up companies are mainly on-line open-market consisting of 36% and SNS is up to 80% as the main promotion method. In addition, exports to China account for 71% of all exports. Lastly, 33% of businesses consider viral marketing by influencer and 50% of them make plan to export their items to East Asia. It is of research significance that this study can suggest the successful direction of establishing and operating fashion start-up companies through making good use of Fashion Creative Studio, the supporting program including facility.
The Journal of the Convergence on Culture Technology
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제7권3호
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pp.321-334
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2021
In this study, in order to analyze the effect of the consumption value of goods on the purchase intention of corporate brand products, the model was tested using SPSS 21.0 and Smart PLS 3.0 by receiving questionnaires from 457 men and women who have purchased goods. After examining the consumption values of goods, such as limited, functional, aesthetic, hedonistic, innovative, and social ego values, and product satisfaction, the effect on purchase intention of corporate brand products was analyzed. All were found to be significant except for innovative value, and product satisfaction had a significant effect on brand attachment and purchase intention of corporate brand products. We have recently redefine goods according to the trend of the times, and put an academic significance on the first classification of goods into four categories: human brand goods, brand goods, tourism goods, and character goods. It was confirmed that there was a partial difference in consumption value and satisfaction according to the type of goods. Through research, it is intended to broaden the understanding of goods and suggest the possibility of effective and useful marketing by suggesting planning and development directions according to the target.
Although the rapid development of technology has led to a swift increase in the number of companies using social networking services (SNS), it will not be accurate to say that they have fully "utilized" the functionality of SNS simply by "using" these services. Therefore, this study aims to increase the convenience of using digital technology and help SNS users in extending the functionality of these services beyond their regular use and thus, revitalize the field by increasing the service providers' efficiency. In this study, the Facebook usage status of a graduate school newspaper from an undisclosed university in Seoul was analyzed from February to December, 2021 using the participant observation method. The results of the study revealed the following: First, it is necessary to diversify the subject and type of content to ensure a continuous supply of quality content; Second, there is a need to examine the user categories and characteristics by utilizing SNS functionalities such as, the target reports and insights, and based on this, supply content that meets the needs of the users; Third, to resolve the problem of low levels of user participation and an inactive Facebook account, it is necessary to mobilize new marketing tools like online events. The significance of this study is that it confronts the real problems faced by some companies that cannot keep pace with market changes in a digital environment, identifies failure factors, and proposes solutions to them.
The study was conducted to develop an implementation model for digital transformation (DX) of manufacturing companies. To this end, previous studies on the process of management innovation and digital transformation were reviewed. The DX process model was derived based on the NEBIC theory and innovation theory applied in the innovation process of the Internet business. In addition, a research model including the factors of the will of the top management class (TMT) was constructed and confirmed through empirical data. The research hypothesis were verified based on data collected from members of mid-sized manufacturing companies promoting digital transformation. Through regression analysis, the influence relationship of each stage of the research model (technical knowledge, TK → opportunity perception, OR → performace expectation, PE and → Intention to execute, IE) was confirmed. Hierarchical regression analysis was conducted to understand the mediating effect of the members' perception of the top management's willingness to promote DX in the process. As a result of checking the Sobel test, it was confirmed that the management's perception of DX promotion partially mediated the relationship at each stage. This study is meaningful in that it presented a model applicable to the digital transformation of the mid-sized manufacturing industry. It is also valuable in providing an empirical basis for innovative research and NEBIC expansion. Longitudinal studies are required to overcome the limitations of empirical data for process models with dynamic characteristics whereas extended empirical studies are required in various fields other than manufacturing to generalize research results.
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