• Journal of Internet Computing and Services
• /
• v.16 no.5
• /
• pp.93-98
• /
• 2015

IoT (Internet of Things) is recently burgeoning as business applications as well as ICT itself. Among the business applications of IoT, wearable devices are recognized as a leading area of customer devices. This research first identifies customer needs of activity trackers (fitness trackers), as one of representative wearable devices, and mapping the identified needs with the well-known marketing model of marketing mix (4 P's: Product, Price, Promotion, and Place). Survey was applied to university students for identifying current and potential needs for activity trackers. The needs were classified by 4 P's, and according to the results, different from other IT devices, activity trackers has more potential needs. Moreover, reliable distribution channels, offline and company owned shops were preferred, rather than online shopping mall by third parties. The results would provide some valuable implications to not only designers of activity trackers but also business management.

• Journal of Korea Trade
• /
• v.23 no.8
• /
• pp.89-109
• /
• 2019

Purpose - We perform an empirical analysis of the effects of global consumer culture positioning (GCCP) in TV advertisements on consumer's brand evaluations (perceived quality, perceived price, and brand prestige) and attitude toward brand. Also, we analyze the moderating roles of consumer characteristics (ethnocentrism and level of product knowledge) in those effects. Design/methodology - This research is based on a survey of 210 randomly-selected university students in Seoul, Korea. The participants in the survey were shown a total of 8 TV advertisements of consumer goods of nondurable goods (fast food and carbonated drinks), and durable goods (sports shoes and digital camera), which included two advertisements for each product where one uses GCCP strategy while another uses LCCP strategy. We estimate the structural model using the AMOS 18.0 computer program. Findings - We find that GCCP has more positive effects on consumers' brand evaluations and attitude toward brand than LCCP in TV advertising. We also find that GCCP has stronger effects on brand evaluation and attitude toward brand in consumers with weak ethnocentrism and in those with a low level of product knowledge. Practical implications - Using GCCP in an advertisement is an effective way of improving consumer's evaluation of the brand and attitude toward the brand mainly when cosmopolitan consumers and consumers with low knowledge levels are segmented as targets. Originality/value - The study contributes to identify how and for what consumer groups' global brand positioning strategies in TV advertisements affect consumers' brand evaluations and their attitudes toward brands.

• The Korean Journal of Food And Nutrition
• /
• v.37 no.3
• /
• pp.162-170
• /
• 2024

The domestic swine industry is currently facing a threat due to the recent increase in pork imports. This study aims to determine what factors influence consumers' intention to consume imported pork and suggest measures to support the domestic pork industry. To achieve this, we analyzed data from the Korea Rural Economic Institute's Food Consumption Behavior Survey using a binary logistic regression model. The results revealed that a higher intention to consume imported pork is linked to a higher intention to consume imported rice, purchasing meat online, frequent purchases of HMR, and procuring U.S. beef, especially among urban residents. On the other hand, a lower intention to consume imported pork is associated with a higher awareness of animal welfare certification, frequently dining out, and older age. Based on these findings, we propose the following response measures for the domestic swine industry: implementing educational programs, marketing, and advertising specifically targeting urban residents to improve their perception of domestic agricultural products; enhancing price competitiveness through distribution optimization; and developing policies to promote the use of domestic pork as an ingredient in processed foods.

• Journal of Intelligence and Information Systems
• /
• v.22 no.3
• /
• pp.165-183
• /
• 2016

Over the past decade, there has been a rapid diffusion of technological devices and a rising number of various devices, resulting in an escalation of virtual reality technology. Technological market has rapidly been changed from smartphone to wearable devices based on virtual reality. Virtual reality can make users feel real situation through sensing interaction, voice, motion capture and so on. Facebook.com, Google, Samsung, LG, Sony and so on have investigated developing platform of virtual reality. the pricing of virtual reality devices also had decreased into 30% from their launched period. Thus market infrastructure in virtual reality have rapidly been developed to crease marketplace. However, most consumers recognize that virtual reality is not ease to purchase or use. That could not lead consumers to positive attitude for devices and purchase the related devices in the early market. Through previous studies related to virtual reality, there are few studies focusing on why the devices for virtual reality stayed in early stage in adoption & diffusion context in the market. Almost previous studies considered the reasons of hard adoption for innovative products in the viewpoints of Typology of Innovation Resistance, MIR(Management of Innovation Resistant), UTAUT & UTAUT2. However, product-based antecedents also important to increase user intention to purchase and use products in the technological market. In this study, we focus on user acceptance and resistance for increasing purchase and usage promotions of wearable devices related to virtual reality based on headgear products like Galaxy Gear. Especially, we added a variables like attitude confidence as a dimension for user resistance. The research questions of this study are follows. First, how attitude confidence and innovativeness resistance affect user intention to use? Second, What factors related to content and brand contexts can affect user intention to use? This research collected data from the participants who have experiences using virtual rality headgears aged between 20s to 50s located in South Korea. In order to collect data, this study used a pilot test and through making face-to-face interviews on three specialists, face validity and content validity were evaluated for the questionnaire validity. Cleansing the data, we dropped some outliers and data of irrelevant papers. Totally, 156 responses were used for testing the suggested hypotheses. Through collecting data, demographics and the relationships among variables were analyzed through conducting structural equation modeling by PLS. The data showed that the sex of respondents who have experience using social commerce sites (male=86(55.1%), female=70(44.9%). The ages of respondents are mostly from 20s (74.4%) to 30s (16.7%). 126 respondents (80.8%) have used virtual reality devices. The results of our model estimation are as follows. With the exception of Hypothesis 1 and 7, which deals with the two relationships between brand awareness to attitude confidence, and quality of content to perceived enjoyment, all of our hypotheses were supported. In compliance with our hypotheses, perceived ease of use (H2) and use innovativeness (H3) were supported with its positively influence for the attitude confidence. This finding indicates that the more ease of use and innovativeness for devices increased, the more users' attitude confidence increased. Perceived price (H4), enjoyment (H5), Quantity of contents (H6) significantly increase user resistance. However, perceived price positively affect user innovativeness resistance meanwhile perceived enjoyment and quantity of contents negatively affect user innovativeness resistance. In addition, aesthetic exterior (H6) was also positively associated with perceived price (p<0.01). Also projection quality (H8) can increase perceived enjoyment (p<0.05). Finally, attitude confidence (H10) increased user intention to use virtual reality devices. however user resistance (H11) negatively affect user intention to use virtual reality devices. The findings of this study show that attitude confidence and user innovativeness resistance differently influence customer intention for using virtual reality devices. There are two distinct characteristic of attitude confidence: perceived ease of use and user innovativeness. This study identified the antecedents of different roles of perceived price (aesthetic exterior) and perceived enjoyment (quality of contents & projection quality). The findings indicated that brand awareness and quality of contents for virtual reality is not formed within virtual reality market yet. Therefore, firms should developed brand awareness for their product in the virtual market to increase market share.

• The Journal of the Convergence on Culture Technology
• /
• v.4 no.2
• /
• pp.197-204
• /
• 2018

One of the hottest issues in our 21st century is AI. Just as the automation of manual labor has been achieved through the Industrial Revolution in the agricultural society, the intelligence information society has come through the SW Revolution in the information society. With the advent of Google 'Alpha Go', the computer has learned and predicted its own machine learning, and now the time has come for the computer to surpass the human, even to the world of Baduk, in other words, the computer. Machine learning ML (machine learning) is a field of artificial intelligence. Machine learning ML (machine learning) is a field of artificial intelligence, which means that AI technology is developed to allow the computer to learn by itself. The time has come when computers are beyond human beings. Many companies use machine learning, for example, to keep learning images on Facebook, and then telling them who they are. We also used a neural network to build an efficient energy usage model for Google's data center optimization. As another example, Microsoft's real-time interpretation model is a more sophisticated translation model as the language-related input data increases through translation learning. As machine learning has been increasingly used in many fields, we have to jump into the AI industry to move forward in our 21st century society.

• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.8
• /
• pp.572-578
• /
• 2020

The stock market is affected by unexpected factors, such as politics, society, and natural disasters, as well as by corporate performance and economic conditions. In recent days, artificial intelligence has become popular, and many researchers have tried to conduct experiments with that. Our study proposes an experiment using not only stock-related data but also other various economic data. We acquired a year's worth of data on stock prices, the percentage of foreigners, interest rates, and exchange rates, and combined them in various ways. Thus, our input data became diversified, and we put the combined input data into a nonlinear autoregressive network with exogenous inputs (NARX) model. With the input data in the NARX model, we analyze and compare them to the original data. As a result, the model exhibits a root mean square error (RMSE) of 0.08 as being the most accurate when we set 10 neurons and two delays with a combination of stock prices and exchange rates from the U.S., China, Europe, and Japan. This study is meaningful in that the exchange rate has the greatest influence on stock prices, lowering the error from RMSE 0.589 when only closing data are used.

• Proceedings of the Korean Institute Of Construction Engineering and Management
• /
• 2006.11a
• /
• pp.478-482
• /
• 2006

The domestic enterprises in order to secure the freshness location of market from the international competition which is keen are propelling a price and a quality high position strategy steadily. It is put in competitive situation with the overseas enterprises and even from construction industry it follows in construction market opening and there is not another idea to the research the management strategies, directions and focus competitive elements of the enterprise against, what it sees consequently and to rise to the priority where the competitive power reinforcement of the enterprise is important, it becomes. Competitive power of like this enterprise for a reinforcement the technique which induces a big interest 6 Sigma is technique from the many companies. 6 sigma preceding researches of manufacturing and service industry the fact that it is accomplished with the object which will carry most. The research which relates with construction industry is staying to an introduction of 6 sigma the investigation phase, the actual introduction introduces and "S" construction there is not only a possibility against the application result of having a limit because it is applying. It is like that but like referring to a minute description for the international competitive power security which it follows in the change which market environment is sudden 6 sigma the introduction will judge, indispensability development of the logical propriety against hereupon and it will reach and it verifies the question investigation for to lead, 6 sigma of the construction companies it confirms the application possibility and presents the propulsion model as 6 sigma the fact that overcoming the limit characteristic of that introduction application as objective of sample research means it will do.

• The Korean Journal of Applied Statistics
• /
• v.29 no.1
• /
• pp.85-98
• /
• 2016

This study makes an empirical comparison of various realized volatilities (RVs) in terms of overnight returns. In financial asset markets, during overnight or holidays, no or few trading data are available causing a difficulty in computing RVs for a whole span of a day. A review will be made on several RVs reflecting overnight return variations. The comparison is made for forecast accuracies of several RVs for some financial assets: the US S&P500 index, the US NASDAQ index, the KOSPI (Korean Stock Price Index), and the foreign exchange rate of the Korea won relative to the US dollar. The RV of a day is compared with the square of the next day log-return, which is a proxy for the integrated volatility of the day. The comparison is made by investigating the Mean Absolute Error (MAE) and the Root Mean Square Error (RMSE). Statistical inference of MAE and RMSE is made by applying the model confidence set (MCS) approach and the Diebold-Mariano test. For the three index data, a specific RV emerges as the best one, which addresses overnight return variations by inflating daytime RV.

• Journal of Distribution Science
• /
• v.14 no.4
• /
• pp.93-101
• /
• 2016

Purpose - As more consumers pursue high quality products at reasonable prices, Korean retail companies are increasing investment in expanding their outlet stores. Despite the growing importance of the outlet business, there has been very little empirical research on consumers' outlet shopping behaviors. This study aimed to investigate the relationships between consumers' perceived product value (performance quality, value for money, and social value) of outlet stores and overall shopping satisfaction and the effect of shopping satisfaction on outlet store loyalty. Research design, data and methodology - The authors developed a structural model in which performance quality, value for money, and social value of products are proposed to affect overall outlet shopping satisfaction, thus increasing customer loyalty. To analyze the research model, data were collected from 88 shoppers at suburban outlets. SPSS 21.0 and AMOS 21.0 were utilized to test the hypotheses. The unidimensionality of each construct was supported from the results of the reliability test with Cronbach's α and confirmatory factor analyses. Correlation analysis was performed and the results warranted the nomological validity of the measures. The fit statistics of the overall model analysis demonstrated an acceptable fit(X²(₁₆₁)=171.651, p=.000; X²/df=1.546; GFI=.821, NFI=.879, TLI=.942, CFI=.953, RMR=.035, RMSEA=.079). Results - The findings are as follows. First, consumers' perceived value of product performance quality had a significant positive effect on overall outlet shopping satisfaction. Consumers, who evaluate performance quality of the product more positively, tend to express stronger satisfaction and happiness about outlet shopping experience. Second, consumers' perceived social value of outlet products influenced their overall satisfaction significantly. Consumers who believe that products of outlet stores enhance self-concepts are more likely to satisfy with outlet shopping experience. However, consumers' perception of outlet products on value for money was not found to significantly influence overall shopping satisfaction. Finally, overall shopping satisfaction had a significant and positive influence on loyalty. Conclusions - While outlet retailers have traditionally focused on promoting competitively priced merchandise, the results of this study suggest that customers' overall satisfaction with outlet shopping is influenced more by the non-price-related product values. In the context of an outlet shopping environment, performance quality and social value of the products were found to be more critical predictors of customer overall satisfaction. Therefore, it would not be efficient for outlet retailers to highlight economic value of their merchandise. Instead, they need to investigate the performance quality of the products regularly and try to deliver quality guaranteed goods to enhance customer satisfaction. Also, outlet retailers should differentiate their businesses by carrying more unique and prestigious brands and emphasize higher social value and symbolic meanings of their products. As competition among outlet retailers are getting fierce, retail companies need to focus on strengthening customer loyalty with a long-term perspective. With a deeper understanding of the relationship between consumers' perceived product values and shopping satisfaction, outlet retailers will be able to develop customer loyalty strategies effectively and to achieve competitive advantage.

• Journal of Ginseng Research
• /
• v.30 no.3
• /
• pp.165-171
• /
• 2006

For several thousand years, Korean ginseng has been used as a medicinal herb in the oriental countries. Korea is the ginseng suzerain and, for that reason, the ginseng as a special crop in Korea has been exported to the world market since the era of the three Kingdoms. Hong Kong is the pivot of ginseng import from all of the world. In 1970s, Korea ginseng had a high market share (about 30%) in Hong Kong. However, recently, the market share of Korean ginseng in Hong Kong has been significantly reduced due to the mass production from China and Canada. Besides, America with aggressive marketing strategy takes the leadership in the international ginseng market in Hong Kong. Therefore, it is necessary for Korea to know and understand world ginseng market condition and situation in Hong Kong. The objective of this study is to identify the actual import situation at international ginseng market in Hong Kong. This study analyzed the ginseng import demand model which effected by several price variables from major importing countries at the international ginseng market in Hong Kong. The findings of this study show that the import price of Korean ginseng has an effect on the quantity of ginseng imported from other countries in Hong Kong. In addition, the quantity of ginseng imported from Korea in Hong Kong is influenced by the import price of ginseng from other countries. In conclusion, Korean ginseng plays an important role at the international ginseng market in Hong Kong.