• Journal of Korea Society of Digital Industry and Information Management
• /
• v.6 no.3
• /
• pp.19-29
• /
• 2010

A marketing model is changed from a customer acquisition to customer retention and it is being moved to a way that enhances the quality of customer interaction to add value to our customers. Such personalization is emerging from this background. The Web site is accelerate the adoption of a personalization, and in contrast to the rapid growth of data, quantitative analytical experience is required. For the automated analysis of large amounts of data and the results must be passed in real time of personalization has been interested in technical problems. A recommendation algorithm is an algorithm for the implementation of personalization, which predict whether the customer preferences and purchasing using the database with new customers interested or likely to purchase. As recommended number of users increases, the algorithm increases recommendation time is the problem. In this paper, to solve this problem, a recommendation system based on clustering and dimensionality reduction is proposed. First, clusters customers with such an orientation, then shrink the dimensions of the relationship between customers to low dimensional space. Because finding neighbors for recommendations is performed at low dimensional space, the computation time is greatly reduced.

• Korean Journal of Construction Engineering and Management
• /
• v.16 no.3
• /
• pp.11-23
• /
• 2015

Construction Management(CM) and Building Information Management(BIM) have a lot in common that they need to establish a cooperation system among different disciplines and promote smooth communication among project stakeholders throughout the project life-cycle. BIM can be an effective information management tool for CM's business and improve their service value. However, BIM uses by Construction Managers(CMr) are very limited. The objective of this study is to analyze the intention of CMrs to adopt BIM and establish effective BIM use strategy in the CMr's point of view. This study utilizes Technology Acceptance Model(TAM) as a research method, and the results show that 1) CMrs think it is more important whether BIM is required to be adopted in their business process at the social or industry level than that BIM can improve their personal competence, recognition, and impressions through their voluntary BIM adoption; 2) that CMrs think it is important to figure out business processes where BIM can be smoothly incorporated; and 3) that CMrs hesitate the use and trial of BIM in their realworld business although they agree that BIM needs to be eventually adopted in their business in the future. Based on these results, directions for establish a strategy for BIM adoption were proposed at the CMr's point of view

• Proceedings of the Korean Society for Agricultural Machinery Conference
• /
• 1993.10a
• /
• pp.637-647
• /
• 1993

Over 40 per cent Indian population needs to be attended for nutritional improvement. Traditional nutritious food resources though abundantly available but presently less used, if incorporated in the diets, can yield low-cost nutritionally balanced diets. The linear programming (LP)model was used for optimization of food resources to satisfy protein -energy requirements of hard working rural poor. Soybean-a highly nutritious food legume-available at reasonably low price was included along with chick -pea and pigeon -pea for comparison .The three cereals predominantly used in Indian diets -rice, wheat and sorghum -and three typical leafy vegetables namely, spinach , drumstick leaves and rajagira (Amaranths paniculantus) leaves were used for optimization . The contribution of food legume was restricted to supply only 50 per cent of daily protein requirement for maximum protein value. The quantities of other food stuffs namely , milk , sugar , tubers etc. were restricted to nati nal per capita availability. the nutrition satisfaction levels in per cent RDA by the model are 149-250 for protein , 51-106 for fat, 134-362 for iron an d143-1158 for Vitamin-A. Quantities of food legumes, cereals and leafy vegetables ranged from 289-601, 3000-3700 and 360-1200 g/day respectively for a reference family of five hard working rural poor. Daily food resources cost ranged from US$ 0.6 to 1.0 for the family. Amongst food legumes, soybean based diet combinations provide maximum nutritional benefits at minimum cost indicating its suitability for wider adoption by hard working poor.

• Journal of Internet Computing and Services
• /
• v.20 no.2
• /
• pp.109-118
• /
• 2019

The purpose of this study is to deliver both market-practical and civil-centric political implication for sharing economy by investigating the nature of consumer-adoption for car-sharing service. With the global interest and market proliferation of the sharing economy, various service models for sharing idle resources have also been released in Korea. Particularly, in case of car sharing service, public - private partnership projects are spreading rapidly in various local governments including Seoul, along with the growing demand for alternative transportation system centering on the urban area. This study conducted an empirical study on the process of accepting the car sharing service by analyzing the data collected from users of the car sharing service "Sharing Car(Nanum Car)" of Seoul Metropolitan Government. A survey was conducted on 281 users in their twenties who are in the age of main use among the experienced users of the "Sharing Car(NaNum)" residing in Seoul. The result of analysis on the relationship between these users' perceived value and intention to use the vehicle sharing service would provide implications for establishing consumer(citizen)-centeric policies as well as market implications.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.15 no.4
• /
• pp.187-195
• /
• 2019

The purpose of this study is to analyze the adoption of Kakao Bank in terms of benefits (functional, social, experiential, economic benefits) and differentiated services (customization and service diversity) considering service types. Benefits are personal value consumers attach to the product or service attributes and, therefore, more important than attributes of service itself when using Kakao Bank in the internet based environment. Data was collected using an online and offline survey of 131 Kakao Bank users and analyzed the data using structural equation model (SEM). The results of empirical analysis using SmartPLS show that functional benefit, experiential benefit, and customization are significantly related to the user's satisfaction, but economic benefits, social benefit, and service variety are not. Customer's satisfaction are also showed significantly to be related to the all types of Kakao Bank usage(balance check, transfer, and other services). This study has the significance in that it examines the user's satisfaction and usage of Kakao Bank in terms of benefits and differentiated services while other studies analyzed banking services focusing on the attributes of banking channel itself.

• Asia pacific journal of information systems
• /
• v.32 no.4
• /
• pp.890-915
• /
• 2022

Although existing studies on e-health have usually focused on e-health services adoption intention, there is a dearth of studies on the barriers that affect e-health services retention intention especially in India. Additionally, although studies have mostly focused on utilizing expectation-confirmation model to understand innovation related barriers, innovation resistance theory (IRT) has been overlooked. As Indian e-health service providers face stiff challenges due to customer's unwillingness to continue using the service, there is a need to bridge the research gap that exists in this context. This mixed-method study, based on responses received from 289 participants and 1154 online negative reviews from e-Health providers in India, examines the barriers from the IRT stance. Results of this study reveal a notable negative association between tradition, value and financial barrier and intention to continue using e-health services. Additionally, continuance intention affects recommendation. The study concludes with various implications and scope for future research.

• Journal of Service Research and Studies
• /
• v.14 no.2
• /
• pp.101-116
• /
• 2024

As the spread of smartphones has become more common and the utilization rate has increased, the mobile shopping market is also growing and expectations for related industries are also increasing. Mobile shopping apps are converging with various industries such as fashion, beauty, and lifestyle, and competition among companies to increase the number of users is intensifying with the activation of non-face-to-face. Accordingly, in this study, a study on the perceived value and intention to use mobile shopping apps was conducted based on a VAM. In order to test the hypothesis of this study, a questionnaire was conducted on 266 people who had used a mobile shopping app and it was used for analysis. Looking at the results, it was confirmed that both usefulness and enjoyment among the perceived benefit of mobile shopping apps have a positive (+) effect on the perceived value. However, it was found that the technicality and perceived risk among the perceived sacrifices of mobile shopping apps did not significantly affect the perceived value. Finally, it was confirmed that the perceived value of the mobile shopping app had a positive (+) effect on the intention to use. Through this study, we would like to examine the factors that can affect perceived value and usage intention in the mobile shopping app industry, which is increasingly competitive among companies along with the rapid growth of mobile technology and market, and suggest practical implications for related companies and officials to establish efficient strategies to further increase mobile shopping app users.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.18 no.2
• /
• pp.35-52
• /
• 2023

Recently, as the non-face-to-face environment has developed due to COVID-19 and environmental pollution, the importance of online digital healthcare is increasing, and venture start-ups and activities such as health care, telemedicine, and digital treatments are also actively underway. This study conducted the impact on the acceptability of digital healthcare smartwatches with an integrated approach of the expanded integrated technology acceptance model (UTAUT2) and the behavioral inference model (BRT). The most advanced integrated technology acceptance model for innovative technology acceptance research was used to identify major factors such as utility expectations, social effects, convenience, price barriers, lack of alternatives, and behavioral intentions. For the study, about 410 responses from ordinary people in their teens to 60s across the country were collected, and based on this, the hypothesis was verified using structural equations after testing reliability and validity of the data. SPSS 23 and AMOS 23 were used for research analysis. Studies have shown that personal innovation has a significant impact on the reasons for acceptance (use value, social impact, convenience of use), attitude, and non-use (price barriers, lack of alternatives, and barriers to use). These results are the same as the results of previous studies that confirmed the influence of the main value of innovative ICT on user acceptance intention. In addition, the reason for acceptance had a significant effect on attitude, but the effect of the reason for non-acceptance was not significant. It can be analyzed that consumers are interested in new ICT products and new services, but purchase them more carefully and selectively. This study has evolved from the acceptance analysis of general-purpose consumer innovation technology to the acceptance analysis of consumer value in smartwatch digital healthcare, which is a new and important area in the future. Industrially, it can contribute to the product's purchase and marketing. It is hoped that this study will contribute to increasing research in the digital healthcare sector, which will play an important role in our lives in the future, and that it will develop into in-depth factors that are more suitable for consumer value through integrated approach models and integrated analysis of consumer acceptance and non-acceptance.

• Journal of Digital Contents Society
• /
• v.18 no.6
• /
• pp.1109-1118
• /
• 2017

With mobile payment always at the center of the fintech craze all over the world, many countries led by China, India, England and Brazil are dedicated to activating and supplying online and offline mobile payment services, securing competitive advantage in the global mobile payment market. However, Korea that had proudly considered itself as an IT power was crowded out of the top 10 ranking, falling behind even Australia, Mexico and Germany. Therefore, this study conducted an empirical research to measure the word-of-mouth intention of general consumers using offline mobile payment service in Korea. Furthermore, it comparatively analyzed the world's most powerful country, China, in mobile payment services, and analyzed the difference in consumer perception between Korea and China.

• Journal of Korea Technology Innovation Society
• /
• v.20 no.4
• /
• pp.1262-1287
• /
• 2017

Recently, forecasting for next-generation technologies have influenced the competitiveness of companies. However, in previous studies, only extract factors influencing the adoption of technology have been investigated. Also, there are few researches on the importance of each decision factors or the competition between technologies. In this research, Lotka-Volterra model is used to confirm the technological competition in the new technology choice timing when the competition is intensified due to the emergence of new technologies. For purpose of this study, estimate the LVC model based on the data of the past competition and then derived the factors affecting the technology of competition and substitution from the literature survey. After that, we confirmed the factor value between the past and the present technology competition. The difference between the factor values derived from the previous step is used to revise the model estimated from the past data base. At this stage, regression analysis is used to derive the importance of each factor and use it as the weight. Through the correction model, the competitiveness is identified through 1:1 comparison with competition candidate technology and existing dominant design technology. In this research, we quantitatively propose the possibility that a specific technology can become a dominant design in the next generation, based on the difference in factor values and importance. This results will help the company's R&D strategy and decision making.