To overcome the profitability challenge these days, many global banks are increasingly focusing on cost efficiency through more efficient banking processes, such as online and mobile banking, whereas a number of other banks choose to differentiate their services for retaining and attracting the most valuable customer segment (Deloitte, 2011). While global banks in the retail banking industry are adopting either of these two business models as a strategic choice for their long-term growth, KB Kookmin Bank, one of the leading retail banks in South Korea, has begun to operate 'KB Rockstar' as a strategic channel, particularly designed to target college students in the youth market. The new marketing strategy has resulted in a positive impact on its brand image in customers' perception as well as a drastic increase in the number of youth customers. In this study, we analyze the case of 'KB Rockstar' and summarize the key factors for its success from a marketing perspective. First, 'KB Rockstar' is not simply a good channel strategy, but an innovative marketing strategy that aligns place, product and promotion together in order to create a synergy effect, resulting in the successful implementation of the bank's targeting strategy. Second, the strategy effectively establishes 'KB Rockstar' as a brand targeted to youth customers while also competently strengthening the image of the corporate brand, KB Kookmin Bank. The skillful implementation of organically combined marketing mix strategies has enabled the successful launch of the bank's sub-brand. Third, the strategy considers a retail bank branch as not only the place that makes sales transactions in order to generate short-term profits, but also the place that builds a long-term relationship with customers in order to maximize their lifetime values in the long run.
Journal of the Korean Society of Systems Engineering
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v.19
no.2
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pp.59-73
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2023
Due to the steady growth of the online shopping market and contact-free consumption, the volume of parcels in South Korea continues to increase. However, there is a lack of manpower for delivery workers to handle the growing parcel volume, leading to frequent accidents related to delivery work. As a result, the government and local authorities strive to enhance last-mile logistics efficiency. As one of these measures, unmanned parcel storage lockers are installed and utilized to handle last-mile deliveries. However, the existing parcel storage involves the inconvenience of couriers having to put each parcel in each locker, and this is somewhat insufficient to relieve the workload of delivery workers. In this study, we propose parcel storage devices that use active loading technology to minimize the workload of delivery workers, extract operation risk factors to apply this system to actual sites, and establish risk reduction methods based on the ALARP concept. Through this study, we have laid the groundwork for improving the safety of the system by identifying and proposing mitigation measures for the risk factors associated with the proposed parcel storage devices utilizing active loading technology. When applied in practical settings in the future, this foundation will contribute to the development of a more efficient and secure system. By applying the ALARP concept, a systems engineering technique used in this research, to the development and maintenance of storage devices leveraging active loading technology, it is thought to make the development process more systematic and structured. Furthermore, through the risk management of the proposed system, it is anticipated that a systematic approach to quality management can be employed to minimize defects and provide a stable system. This is expected to be more useful than the existing unmanned parcel storage devices.
The Journal of Economics, Marketing and Management
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v.12
no.2
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pp.27-36
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2024
Purpose: As the number of vegetarians continues to rise in tandem with the development of consumer culture, a novel economic trend named 'Vegenomics' has surfaced. In addition, as interest in social and environmental sustainability such as health, environment, and animal welfare grows due to the COVID-19 pandemic, the alternative protein food market is expanding, focusing on plant-based alternative meat. Research design, data, and methodology: Therefore, this study aims to investigate the impact of the consumption value of alternative protein products on self-efficacy and purchase intention. This study collected a total of 187 questionnaires by conducting an online survey from May 1 to July 10, 2023, to verify the research model and hypothesis. The collected data were subjected to exploratory factor analysis, confirmatory factor analysis, and discriminant validity analysis using SPSS 20.0 and AMOS 20.0 programs for structural equation modeling. Results: The results of analyzing consumers' self-efficacy and purchase intention regarding the functional value, health-oriented value, ethical value, and ecological value of alternative protein products are as follows. First, among the consumption values of alternative protein products, ecological value was found to have a significant positive (+) effect on self-efficacy. Second, consumers' self-efficacy for alternative protein products was found to have a significant positive (+) effect on purchase intention. Conclusion: This study is anticipated to provide valuable insights for the formulation of effective marketing strategies for alternative protein products and the development of products that align with consumer needs.
In the real estate industry, the latest changes in the Fourth Industrial Revolution, such as big data analytics, machine learning, and VR (virtual reality), combine to bring about industry change. Proptech is a new term combining properties and technology. This study aims to derive and analyze from a comprehensive perspective the quality factors (systems, services, interfaces, information) for mobile real estate brokerage services that are well known and used in the domestic market. The surveys in this study were conducted online and offline and a total of 161 samples were used for statistical analysis. As a result, all hypotheses were approved to except system quality and service quality. The results show that the domestic proptech companies who are mostly focused on real estate brokerage services, peer-to-peer lending, advertising platforms and apartments need to grow in various fields of proptech business of other countries including Europe, USA and China.
Journal of Information Technology Applications and Management
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v.31
no.1
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pp.123-138
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2024
With the increase in online shopping and delivery food consumption since the pandemic, solving environmental problems caused by single-use packaging has become an important issue. 'Upcycling' is a combination of 'Upgrade' and 'Recycle', and it is the rebirth of obsolete or discarded objects by adding new value to them, and there are currently various upcycled products on the market. In order to activate upcycling, consumers' awareness of the environment and their values for consumption are very important. This study aims to investigate the influence of students' environmental concern, environmental experience, and consumption value on their purchase intention of upcycled products. Based on the results of previous studies on environmental concern, environmental experience, and consumption value, hypotheses were set, and a survey was conducted among university students nationwide to test the hypotheses. The results of this study are as follows First, environmental concern has a significant positive effect on purchase intention of upcycled products. It can be seen that the more environmental concerns such as global warming and waste disposal problems increase, the more positive attitudes toward upcycled products increase. Second, the research hypothesis that environmental knowledge will have a positive effect on the purchase intention of upcycled products is rejected. It was found that environmental knowledge is acquired through environmental education and many SNS, but it does not have a direct effect on the purchase intention of upcycled products. Third, it was found that the consumption value of college students has a positive effect on the purchase intention of upcycled products by increasing their positive perception of upcycled products. Fourth, college students' purchase intention of upcycled products has a positive effect on their behavioral intention to purchase upcycled products. The results of the study provide implications for relevant organizations such as universities and companies to effectively design upcycling-related education. It is also expected to have a positive impact on the use of upcycled products by providing basic information on the characteristics of consumers who purchase upcycled products.
This study investigates the impact of social-face sensitivity of smartphones on the adoption of iPhone in China. Social-face sensitivity is divided into three dimensions, namely, other-directed sensitivity, self-directed sensitivity, and formality-directed sensitivity. We surveyed 218 university students in China through an online survey site. The results showed that formality-directed and other-directed sensitivity have significant impacts on iPhone preferences. Self-directed sensitivity was not significant. We investigated two moderate variables, namely, financial ability and brand sensitivity. Both variables showed significantly moderate impacts on the intention to purchase iPhone. The impact of social-face sensitivity on iPhone preferences implies that the iPhone has dual characteristics to the Chinese, namely, as utility and luxury goods. This finding offers managerial implications for Apple and other mobile service companies in terms of production and marketing strategies.
Asia-Pacific Journal of Business Venturing and Entrepreneurship
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v.11
no.5
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pp.1-13
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2016
This study aims to observe the impacts of entrepreneurship and market orientation of Seoul's business incubator (BI) CEO's on business performance, as well as investigate the moderating effects of BI supporting services. The main objectives of this study are as follows: first, to observe how the entrepreneurship of CEO's affects business performance; second, to observe how CEO's market orientation as a cultural factor attributes to business performance; third, to verify whether the utilization level of BI supporting services shows moderating effects between entrepreneurship and business performance, and finally to verify whether the utilization level of BI supporting services shows moderating effects between market orientation and business performance. Business incubators in Seoul registered with the Business Incubator Association were surveyed both online and offline to receive 127 responses out of 320 circulations. By filtering out insincere reponses, 117 were used for statistical analysis. Our results assert that the utilization level of physical BI supporting services does indeed strengthen the relation between initiative and financial performance. Also, it is interesting to note that the utilization level of physical BI supporting services supports the relation between risk sensitivity and financial performance. While risk sensitivity on its own shows no positive effect on business performance, a suitable utilization level of BI supporting services is likely to strengthen the connection. In addition, the utilization level of both physical and non-physical supporting services shows a moderating effect between initiative and non-financial performance. Based on the results above, risk-taking business incubator CEOs with initiative are likely to yield better financial performance in terms of increasing sales, if provided with various physical supporting services such as sufficient educational facilities including communal spaces and conference rooms.
The ICT(information & communication technology) led to a dramatic change of floral distribution service, a phase of competition between wholesales and retail stores, and distribution channels in floral industry. It was expected that a role of the intermediaries in this industry would have reduced due to the improvement of transaction process by ICT. However, the ICT made to overcome a regional limit of the floral retail distribution service leading to an increase in sales and enlargement of the stores. And even it made possible to bring out another type of intermediaries such as private associations. This case study focuses on what kinds of efforts the floral wholesale distributors have made to enable a distribution process more smoothly between the wholesale distributors and retail stores through the information system, and what the failure factors in adopting the information system have been. This paper is also to examine how the wholesale distributors have changed themselves to gain dominant positions in distribution channels. As a result of the study, it was found that the intermediaries mostly failed in successfully achieving the distribution channel innovation through the information system because of several main reasons. FLOMARKET Inc. tried to innovate a distribution channel to obtain high quality goods through consolidating a wholesale distribution market in that segregated both floral joint market from free markets. after implementing the information system with consideration of the failure factors, FLOMARKET Inc. was able to minimize goods in stock and make a major purchase of various goods. In addition, it made a possible pre-ordering process and an exact calculation of purchasing goods so they could provide their products with market price in real time, which helped for the company to gain credits from their customers. Also, FLOMARKET Inc. established the information system which well suited to its business stage in order to deal with a rapidly changing distribution environment. It's so obvious that the transaction processing system of FLOMARKET Inc. definitely helped to share information among traders more seamlessly and smoothly in realtime, standardize goods, and make a transaction process clearer. Besides, the transaction information helped the wholesale distributors and retail stores to make more strategic decisions in their business because through the system they enabled to gather the marketing intelligence information more easily and convenient. If we understand that the floral distribution market is characterized by the low IT- based industry, it's worth to examine a case study proving that the information system actually increases the productivity of the transaction process in the floral industry.
Recently, investors' interest and the influence of stock-related information dissemination are being considered as significant factors that explain stock returns and volume. Besides, companies that develop, distribute, or utilize innovative new technologies such as artificial intelligence have a problem that it is difficult to accurately predict a company's future stock returns and volatility due to macro-environment and market uncertainty. Market uncertainty is recognized as an obstacle to the activation and spread of artificial intelligence technology, so research is needed to mitigate this. Hence, the purpose of this study is to propose a machine learning model that predicts the volatility of a company's stock price by using the internet search volume of artificial intelligence-related technology keywords as a measure of the interest of investors. To this end, for predicting the stock market, we using the VAR(Vector Auto Regression) and deep neural network LSTM (Long Short-Term Memory). And the stock price prediction performance using keyword search volume is compared according to the technology's social acceptance stage. In addition, we also conduct the analysis of sub-technology of artificial intelligence technology to examine the change in the search volume of detailed technology keywords according to the technology acceptance stage and the effect of interest in specific technology on the stock market forecast. To this end, in this study, the words artificial intelligence, deep learning, machine learning were selected as keywords. Next, we investigated how many keywords each week appeared in online documents for five years from January 1, 2015, to December 31, 2019. The stock price and transaction volume data of KOSDAQ listed companies were also collected and used for analysis. As a result, we found that the keyword search volume for artificial intelligence technology increased as the social acceptance of artificial intelligence technology increased. In particular, starting from AlphaGo Shock, the keyword search volume for artificial intelligence itself and detailed technologies such as machine learning and deep learning appeared to increase. Also, the keyword search volume for artificial intelligence technology increases as the social acceptance stage progresses. It showed high accuracy, and it was confirmed that the acceptance stages showing the best prediction performance were different for each keyword. As a result of stock price prediction based on keyword search volume for each social acceptance stage of artificial intelligence technologies classified in this study, the awareness stage's prediction accuracy was found to be the highest. The prediction accuracy was different according to the keywords used in the stock price prediction model for each social acceptance stage. Therefore, when constructing a stock price prediction model using technology keywords, it is necessary to consider social acceptance of the technology and sub-technology classification. The results of this study provide the following implications. First, to predict the return on investment for companies based on innovative technology, it is most important to capture the recognition stage in which public interest rapidly increases in social acceptance of the technology. Second, the change in keyword search volume and the accuracy of the prediction model varies according to the social acceptance of technology should be considered in developing a Decision Support System for investment such as the big data-based Robo-advisor recently introduced by the financial sector.
User-Centered Design Approach plays important role in dealing with usability issues for developing modern technology products. Yet it is still questionable whether the User-Centered approach is enough for the development of successful consumer contents since the User-Centered Design is originated from the software engineering field where meeting customers' functional requirement is the most critical aspect in developing a software. However, modern consumer market is already saturated and in order to meet ever increasing consumer requirements, the User-Centered Design approach needs to be expanded. As a way of incorporating the User-Centered Approach into the consumer product development, Jordan suggested the 'Pleasure-based Approach' in industrial design field, which usually generates multi-dimensional user requirements: 1)physical, 2)cognitive, 3)identity and 4) social. It is the current tendency that many portal and community service providers focus on fulfilling both functional and emotional needs for users when developing new items, contents and services. Previously fulfilling consumers' emotional needs solely depend on visual designer's graphical sense and capability. However, taking the customer-centered approach on withdrawing consumers' unknown needs is getting critical in the competitive market environment. This paper reviews different types of user research techniques and categorized into 6 ways based on Kano(1992)'s product quality model. Based on his theory, only performance factors, such as suability, can be identified through the user-centered design approach. The user-centered design approach has to be expanded to include factors include personality, sociability, pleasure, and so on. In order to identify performance as well as excellent factors through user research, a user-research framework was established and tested through the case study, which is ' the development of new online service for teens '. The results of the user research were summarized at the end of the paper and the pros and cons of each research techniques were analyzed.
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