• Proceedings of the Korea Inteligent Information System Society Conference
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• 2005.05a
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• pp.131-138
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• 2005

Recommender systems have been widely advocated as a way of coping with the problem of information overload in e-business environment. Most of the existing recommender systems focused on what kind of items to recommend, although when to recommend to the target customer considering their context is an important issue. Even right item might be a spam advertisement or wrong recommendation for the customer if it can not be recommended at the right context. It is particularly important for recommendations where the user's context is changing rapidly, such as in both handheld and ubiquitous computing environment. Therefore, we propose CARS (Context-Aware Recommender System) based on CBR and context-awareness for ubiquitous computing environment. CBR is used to generate a target customer class and proper context. Context-awareness is used to gather suer context information from sensors, networks, device status, user profiles, and other sources. An illustrative case example is suggested to explain the procedure of CARS.

• Journal of Korea Trade
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• v.25 no.6
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• pp.20-33
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• 2021

Purpose - The growth in consumers' online shopping has even been accelerated by the COVID-19 pandemic. While the purchase can be made from any countries online, the purpose is to examine the effect of the country of the online retailer (COOR) on consumers' perceived risk and purchase motivation, focusing on the retailer not on the brand. Design/methodology - Survey data from online shoppers are analized using the structural equation model. Findings - COOR, like COO of the brand manufacturer, positively affect consumer's purchase intension. First, the images and the perceived psychic distances of the COOR affects both perceived risk and purchase confidence. Secondly, this perceived risk and confidence they put on the transaction then affect the purchase intension of the consumer. Originality/value - We show that the quality of the signal comes not only from the manufacturer-branded product item itself with a certain COO, but also from the retailer who carries it.

• The Journal of Fisheries Business Administration
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• v.54 no.4
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• pp.19-45
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• 2023

This study explores strategies to expand Korea's top 10 seafood export in the oversea market, with a specific focus on the impact of export concentration. For certain seafood items such as laver, crab, and mackerel, characterized by low export concentration, adopting a focused export expansion strategy is more effective. Conversely, highly concentrated seafood items such as toothfish, cod, pollack, and abalone face high risks in export performance due to their heavy reliance on a small number of key export countries. To ensure export stability, it is advisable to implement a diversified export expansion strategy for these highly concentrated seafood items. In the case of medium-concentration seafood items like tuna, oyster, and flounder, the decision between a concentrated or diversified strategy should be based on their specific export situations. Tailoring strategies to the distinctive market characteristics of each seafood item enables exporters to effectively increase oversea market share, promoting stability and sustained growth in export performance.

• Management Science and Financial Engineering
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• v.13 no.2
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• pp.29-46
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• 2007

This paper makes an attempt to compare the two important methods for finding solutions of multi-item inventory problem with more than one conflicting objectives. Panda et al.[9] discusses a distance-based method to find the best possible compromise solution with variation of priority under the given weight structure. In this paper, the problem in [9] is revisited through the Pareto-optimal front of genetic algorithm with the help of a situation of retail stocking of FMCG business. The advantages of using the solutions from the perspective of the decision maker obtained through multi-objective optimization are highlighted in terms of population search, weighted goals and priority structure, cost, set of compromise solutions along with prevention of stock-out situation.

• International conference on construction engineering and project management
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• 2005.10a
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• pp.509-514
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• 2005

In recent years, use of the web technologies and on-line process has immensely swapped single-user platform practice. This study attempted to develop preliminary cost estimating program by means of Web technologies based on statistical modeling results. A prototype Web-based Preliminary Item-Level Cost Estimating System (WBPILCES) using open source software was developed as an on-line estimating tool in this research. The primary objective is to study the possible flexibility of implementing a centralized information system that will be maintained by the Texas Department of Transportation (TxDOT) IT division. The full-scale deployment of proposed information architecture is expected to seamlessly integrate with legacy database system currently used by TxDOT so as to streamline data storage, cost growth tracking and estimates documentation.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.11 no.9
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• pp.3249-3258
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• 2010

The purpose of this study is to investigate the contents and system characteristics of online game and analyzed how these characteristics are related to the flow and online game usage. For this purpose, we identified character customization, storytelling traits, item properties as the contents characteristics of online game(MMORPG) and user interface and ease of community usage as the system characteristics of online game(MMORPG) based on previous researches and in-depth interviews from MMORPG users. The results of this paper revealed that character customization, storytelling traits and item properties positively influence the flow, however, game reality has not impact on the flow. In the system characteristics, only ease of community usage positively influence the flow at a significant level. Furthermore, it is proven that flow has an impact online game usage. Implications and directions for future research are discussed.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.11 no.6
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• pp.153-161
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• 2016

Small business start-up competition in the market has become overheated. It is effected by early retirement and unemployment, specially youth employment. It is a research on small business owners' satisfaction of SEMAS(Small Enterprise and Market Service) based on the funding policy, education and consulting program. It has surveyed 272 small business owners living Gyeongsangnam-province from January 2013 to September 2015. In addition, it analyzes some factors such as motivation, business model, item, owner's experience, sales and demographic by small business owner. Analysis results, the satisfaction of small business that uses support system is shown to be significantly related with education degree, entrepreneur motivation, and business kind is partly related. It will conduct a decision-making governor to help small business owners entered the start-up market and.

• Journal of Agricultural Extension & Community Development
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• v.22 no.4
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• pp.405-421
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• 2015

Agro-fishing villages of agriculture and fishery are suffering deepening gap with urban areas due to depreciation from their products market opening pressure. They are facing problems of decreasing and aging population, poor settlement environment, etc. and losing their vitality for their low productivity and lack of young labor force. These issues of agro-fishing villages of agriculture and fishery are divided in so various items and classes that it is plausible to approach in a way to connect each issue in a small frame of each by selecting sub topics according to each item and each class rather than to solve the issues in a large frame. Chungchungnam-do is approaching the issues through 3 agro innovations(agro fishery, agro fishing villages, agro fishing people) in local government level and Durae enterprises are solving local problems through the self supporting residents' community business by utilizing local resources. This study is to draw clues and solutions to vitalize agro fishery villages through community businesses by detailed reviews and research on cases of Durae enterprises' characteristics and their vitalizations and provide a new alternative plan to agro fishery villages losing their vitality and demolishing their communities.

• Journal of Intelligence and Information Systems
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• v.29 no.3
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• pp.145-165
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• 2023

Recommendation system plays a significant role on relieving difficulties of selecting information among rapidly increasing amount of information caused by the development of the Internet and on efficiently displaying information that fits individual personal interest. In particular, without the help of recommendation system, E-commerce and OTT companies cannot overcome the long-tail phenomenon, a phenomenon in which only popular products are consumed, as the number of products and contents are rapidly increasing. Therefore, the research on recommendation systems is being actively conducted to overcome the phenomenon and to provide information or contents that are aligned with users' individual interests, in order to induce customers to consume various products or contents. Usually, collaborative filtering which utilizes users' historical behavioral data shows better performance than contents-based filtering which utilizes users' preferred contents. However, collaborative filtering can suffer from cold-start problem which occurs when there is lack of users' historical behavioral data. In this paper, hybrid music recommendation system, which can solve cold-start problem, is proposed based on the playlist data of Melon music streaming service that is given by Kakao Arena for music playlist continuation competition. The goal of this research is to use music tracks, that are included in the playlists, and metadata of music tracks and playlists in order to predict other music tracks when the half or whole of the tracks are masked. Therefore, two different recommendation procedures were conducted depending on the two different situations. When music tracks are included in the playlist, LightFM is used in order to utilize the music track list of the playlists and metadata of each music tracks. Then, the result of Item2Vec model, which uses vector embeddings of music tracks, tags and titles for recommendation, is combined with the result of LightFM model to create final recommendation list. When there are no music tracks available in the playlists but only playlists' tags and titles are available, recommendation was made by finding similar playlists based on playlists vectors which was made by the aggregation of FastText pre-trained embedding vectors of tags and titles of each playlists. As a result, not only cold-start problem can be resolved, but also achieved better performance than ALS, BPR and Item2Vec by using the metadata of both music tracks and playlists. In addition, it was found that the LightFM model, which uses only artist information as an item feature, shows the best performance compared to other LightFM models which use other item features of music tracks.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
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• v.18 no.6
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• pp.27-40
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• 2023

This study analyzes the factors affecting the survival of young start-up companies. A youth start-up company was defined as a company with a founder's age under 39. The study was based on evaluation data from 3,540 companies evaluated by the Technology Guarantee Fund to support youth start-up guarantees during the period from 2012 to 2015. In this study, independent variables were defined as founder characteristics, start-up environment, and start-up strategy, and entrepreneurship, knowledge level, and development capabilities were set as variables for start-up characteristics, competition conditions and comparative advantage with alternatives in the start-up environment, and item novelty, commercialization plan and financing plan were set as variables. For variable measurement, the evaluation index of the youth start-up evaluation model of the Technology Guarantee Fund was used. Management performance was defined as the survival of a company, and the survival of 12, 36, 60, and 84 months was measured based on the occurrence of insolvency registered by the Korea Technology Guarantee Fund. The Cox proportional risk model was used for hypothesis testing. As a result of the analysis, knowledge level and development capability were statistically significant in the characteristics of the founder, and the financing plan in the start-up strategy was statistically significant regardless of the survival period. Among the start-up strategies, the novelty of the item had a positive effect on survival after 36 months. Entrepreneurship was significant only in 12-month survival. The most important order for survival was identified in the order of financing plan, knowledge level, item novelty and development capability, of which the founder's knowledge level in the beginning and the funding plan in the second half had the greatest impact.