With the introduction of the Capital Market Integration Act in 2009, the new competitive scope and paradigm is opened in Korean financial services market. The change of financial industry and institutions will lead to the behavioral change of customers who consume and choose financial services. While researches from the financial perspective have been conducted, works from the marketing or customer oriented approach has long been relatively ignored. The purpose of this study is to investigate influencing factors and process of financial services customers' choice behavior. More specifically, the main theme is how to enhance customer brand loyalty and purchase intention through the perception of overall quality of the service product. An integrated conceptual model including antecedents, mediating variables and consequences is established through comprehensive literature reviews of extant works on environmental change, customer behavioral change and choice behaviors. Hypothesis testing is done with SEM analysis. According to the results, the attractiveness of financial product, the reputation of financial firm, and self-brand image congruence among exogenous variables make a positive effect on perceived overall quality. And perceived overall quality has a significant effect on brand loyalty.
The purpose of this study is propose performance indicators analysis and development plans for K University professional graduate school for the training of human resource professionals. Specifically, the main research includes the derivation of performance indicators for K University's professional graduate school, PR plan, academic establishment plan, name change, vision proposal, and curriculum improvement plan for each major. To this end, a survey was conducted on a total of 132 current and former students of K University's professional graduate school. FGI was also conducted with 29 participants. The results of the research are as follows. In the case of key performance indicators, 15 indicators were proposed, taking into account previous research, the characteristics of professional graduate school, surveys, and FGI surveys. Promotion should be continuous, not one-time, and the advantages and benefits of the graduate school should be actively informed to target customers. The proposed name of the professional association is the Korean Association for Employment and Vocational Competency Development. It was found that operating as a convergence society and focusing on convergence research were appropriate. The names of K University's professional graduate school were HR (Human Resources), HRD, and employment and vocational competency development graduate school. As for the vision, it was suggested that a balance between identity and differentiation is needed to flexibly respond to new changes while maintaining existing strengths. As for the proposed improvement of the curriculum by major, it is proposed to reform in a stepwise and gradual manner while maintaining the existing framework to some extent rather than being radical.
Thanks to the remarkable success of Artificial Intelligence (A.I.) techniques, a new possibility for its application on the real-world problem has begun. One of the prominent applications is the bankruptcy prediction model as it is often used as a basic knowledge base for credit scoring models in the financial industry. As a result, there has been extensive research on how to improve the prediction accuracy of the model. However, despite its impressive performance, it is difficult to implement machine learning (ML)-based models due to its intrinsic trait of obscurity, especially when the field requires or values an explanation about the result obtained by the model. The financial domain is one of the areas where explanation matters to stakeholders such as domain experts and customers. In this paper, we propose a novel approach to incorporate financial domain knowledge into local rule generation to provide explanations for the bankruptcy prediction model at instance level. The result shows the proposed method successfully selects and classifies the extracted rules based on the feasibility and information they convey to the users.
It is possible to provide Smart Tourism Service through the development of information technology. It is necessary for the tourism industry to understand and utilize Big Data that has tourists' consumption patterns and service usage patterns in order to continuously create a new business model by converging with other industries. This study suggests to activate Jeju Smart Tourism by analyzing Big Data based on credit card usage records and location of tourists in Jeju. The results of the study show that First, the percentage of Chinese tourists visiting Jeju has decreased because of the effect of THAAD. Second, Consumption pattern of Chinese tourists is mostly occurring in the northern areas where airports and duty-free shops are located, while one in other regions is very low. The regional economy of Jeju City and Seogwipo City shows a overall stagnation, without changes in policy, existing consumption trends and growth rates will continue in line with regional characteristics. Third, we need a policy that young people flow into by building Jeju Multi-complex Mall where they can eat, drink, and go shopping at once because the number of young tourists and the price they spend are increasing. Furthermore, it is necessary to provide services for life-support related to weather, shopping, traffic, and facilities etc. through analyzing Wi-Fi usage location. Based on the results, we suggests the marketing strategies and public policies for understanding Jeju tourists' patterns and stimulating Jeju tourism industry.
Today, consumers are interested in branded apps as new marketing channels. Consumers do not have ready access to information that will enable them to judge the quality of a particular product or service before purchase, but they will gain such information with branded apps. As they need to be actively chosen and downloaded to users' smartphone by the users themselves, branded apps have greater marketing effectiveness and influence than traditional channels. Therefore, corporations that place emphasis on interactions with customers anticipate a new marketing effect with their branded apps. With previous research on smartphone applications as a background, this research finds key factors in branded apps that influence users' satisfaction. Additionally, the study centers on the relationship in which satisfaction in the branded app significantly influences the purchase intention for the branded product/service.
This study aims to investigate the impact of hotel marketing agility on employee job crafting and service innovative behavior in the context of the uncertainties faced by the Korean hotel industry amidst a rapidly changing business environment. In the post-COVID era, hotel companies need to quickly detect market trends and respond flexibly to secure a competitive advantage and promote sustainable growth. Given the high proportion of face-to-face services in the hotel industry, marketing agility is emerging as a core competency to effectively cope with changing customer demands and market dynamics. However, an organization's agile marketing capabilities only take on true meaning when frontline employees voluntarily redesign their jobs and lead service process innovations. In this regard, job crafting, which refers to employees' active redefinition and modification of their job boundaries, can serve as a link between organizational agility and individual innovative behavior. By empirically analyzing the structural relationship between marketing agility, job crafting, and service innovative behavior in the hotel context, this study applies the concept of agility to the field of human resource management and provides new insights into the antecedents and outcomes of job crafting. The results show that hotel responsiveness has a significant positive impact on all three dimensions of job crafting. In the case of speed and flexibility, they had a significant positive effect on task and relational crafting, but the effect of speed on cognitive crafting was not significant. The implications of the study suggest that hotels' rapid decision-making and execution may actually constrain employees' cognitive crafting activities, such as reflecting on and reinterpreting the meaning and identity of their work. Furthermore, it is expected to provide meaningful insights for hotel managers facing environmental upheavals to seek practical measures to enhance agility and innovativeness.
The Journal of the Convergence on Culture Technology
/
v.10
no.4
/
pp.563-574
/
2024
While the integration of chatbot and the simplification of financial terminology in Financial services' apps are increasingly common, automotive finance apps often show lower user satisfaction for complex terminol- ogy and rigid content. This study investigates the effects of chatbot interaction modes and the simplification of financial terminology on user experience in automotive finance apps. We developed prototypes for car lease tasks under different conditions: the type of user interaction channel (chatbot vs menu-based), and the usage of financial terminology. A 2 x 2 experimental survey was conducted to measure perceptions of friendliness, read- ability, trust, and accuracy. The findings revealed that chatbot interactions significantly enhance friendliness more than menu-based interactions, and simplifying terminology significantly improves readability and friendliness. However, no significant differences were observed in trust and accuracy between the conditions. Furthermore, nosignificant interaction effects were found between the two conditions across all variables. This study contributes by quantitatively assessing the impacts of chatbot consultation modes and terminology sim- plification on customer experience in financial services.
The Journal of the Convergence on Culture Technology
/
v.10
no.5
/
pp.445-452
/
2024
Through the pandemic, the topography of dining culture is rapidly changing due to the advancement of the food delivery market. Competition in the domestic market is intensifying as Coupang Eats recently surpassed Yogiyo and jumped to second place, and Baedal Minjok(Baemin), the industry's No. 1 company, is also preparing to introduce a subscription system. While the growth of the delivery market is slowing, the use of takeout and pick-up services is increasing due to rising delivery costs and food prices. From Generation Z's perspective, the main factors influencing the active use of app services were identified through prior research as usability and convenience, cost sensitivity, and hedonic motivation. While, they are leading the trend of minimizing spending through 'stepping stone consumption' and delivery pot process instead of choosing a subscription system. Accordingly, we aim to provide customers with a better experience and help strengthen competitiveness by proposing ways to improve and revitalize new delivery apps that reflect the characteristics of Gen.Z. As a result of the expert Delphi survey, we will receive impact evaluation scores in the following order: direct view of accumulated discounts, addition of family benefits, coupon reinforcement, SNS promotion, pick-up walk, in-store promotion, and discount rate display, and review their application to practice. It presents academic and policy implications regarding the food tech market.
The purpose of this study is to ascertain the design element in traditional palaces of Korea, China and Japan. It takes threesteps to proceed this study. Firstly, it needs to be established the analysis framework from the documents. In second step, the design elements - the form, the material, the pattern and the color - should be collected and investigated through the observation of the actual traditional palaces the Changduckung, the Forbidden City, the Nijo castle. The third step is the analysis of the results of the investigation of the design elements from step two. To sum up similarities and dissimilarities among the design element in traditional palaces of Korea, China and Japan is as the following It is to be noticed that the mainly common characteristics of the artistic design are 'naturalism', 'harmonious ideas' and 'confucianism'. But the representation style of the design element is differed from the country. : The typical features of China are symmetry, glassy surface by artificial process, the meandered curve, the magnificent pattern and the constrable color. In Japan, the mathematical asymmetry, made-up rough surface by artificial skill, decorativepattern with abbreviation and achromatic color are important feature of the design element. While the major features of Korean design element are asymmetrical balance with nature, rough surface by natural process, moderate pattern and harmonious color.
In this paper, we investigate several factors that affect the locational decision of discount stores by using previous studies on the marketing area and the location of commercial facilities. We selected 21 primary variables that are expected to influence the decision of store location and, by factor analysis, grouped them into five underlying factors. Among these, the demographic factor, which shows the potential purchasing power level, had the greatest impact on the locational decision for the store. However, we found individual stores positioned according to unique locational characteristics in addition to the demographic factor. It means that we have to additionally consider if the vicinity of the market is based on any physical properties. Many previous studies proposed four decision factors for store location: the economic factor, the demographic factor, the land utilization factor, and traffic factor. However, the fivefold factors-our distinctive contribution-are more concrete and persuasive according to Korean reality. We show that location preference is based on the following criteria: (1) the area is densely populated, (2) houses stand close together, (3) residents have a high income level, (4) road traffic is developed and easy to access, and (5) public transportation is well developed. The demographic factor has the greatest impact on the location of a discount store. The number of households has a greater relevance to the demographic factor than does the individual consumer. Second, discount stores relatively prefer places where houses are located close together because such places offer easy access to the market. Third, a place whose residents have a high income level will be preferred, with its large cars and excellent traffic conditions. Fourth, a location would be highly rated if the roads around commercial facilities are well developed and their accessibility is good. Finally, discount stores must be located close to bus stops because female consumers, including housewives-the most important customers-evaluate stores based on distance. In this research, the variable of consumer attitude and preference was excluded, and the location factors of discount stores were analyzed according to a microscopic view through physical spatial data. In the future, the opening of new discount stores based on the five factors indicated above will require a comparatively shorter time from the first project feasibility analysis. In addition, the result of our study can be applied to the field of public policy for constructing and attracting large-scale distribution facilities.
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