• 산업경영시스템학회지
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• 제33권3호
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• pp.176-183
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• 2010

The benefits of information technology cannot be obtained unless potential users utilize it for their work. This led to a lot of research works on computer system acceptance. But most of the works address the early stage of system introduction, leaving the learning effect on system acceptance unexplored. In this longitudinal study, two groups of novice and experienced users have been empirically investigated and compared for their acceptance of computer system and for the learning effect of actual usage. A research model based on the technology acceptance theory has been proposed and applied to the two groups. The result shows that the factor job relevance gets more important and the effect of user training on system acceptance diminishes as time passes. This finding may help introducing computer systems which can be easily accepted by users over the whole life cycle period of computer systems.

• Ocean and Polar Research
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• 제31권4호
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• pp.361-368
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• 2009

An operational oceanographic system needs to be established for the preservation and management of marine environments and resources, and also to secure the safety and efficiency of marine operations in Korea. One of the major roles of operational oceanography is to deliver ocean science products which can meet the requirements of users such as marine industries, the general public, government agencies, and scientific research communities. Technical issues in relation to development of an effective operational oceanographic system in Korea are identified and discussed. Among others, cooperation among the agencies in ocean, meteorology, hydrology and environment, and also among those of neighboring countries is important for the development of an effective operational oceanographic system. The strategy for building a system that meets the demands of users, with consideration to potential problems, are explored.

• 한국도서관정보학회지
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• 제18권
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• pp.245-268
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• 1991

Some conclusions derived from the study are as follows : 1) Most conventional information retrieval systems require users do precisely that specify the information they require, but user's information needs are not always precise. 2) Information need arise from when users are in an anomalous stats of knowledge about some problem, so user's information needs are not always precise. 3) Information retrieval systems must assist to users make themselves correct, complement, and specify their information need. When information need arise, systems should understand the state of knowledge and will be design to present and specify their ill-defined potential information need. 4) Existing information retrieval techniques need a tool to complement current its disadvantages and to enhance retrieval efficiency. Browsing searching will be a role such as a tool. 5) Browsing searching can understand user's state of knowledge and assist to specify not only pre-searching information need but also changed information need during searching progress.

• Journal of information and communication convergence engineering
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• 제18권1호
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• pp.55-60
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• 2020

As personalized customer services create a society that emphasizes the personality of an individual, the number of product reviews and quantity of user data generated by users on the internet in mobile shopping apps and sites are increasing. Such product review data are classified as unstructured data. Unstructured data have the potential to be transformed into information that companies and users can employ, using appropriate processing and analyses. However, existing systems do not reflect the detailed information they collect, such as user characteristics, purchase preference, or purchase priority while analyzing review data. Thus, it is challenging to provide customized recommendations for various users. Therefore, in this study, we have developed a product recommendation system that takes into account the user's priority, which they select, when searching for and purchasing a product. The recommendation system then displays the results to the user by processing and analyzing their preferences. Since the user's preference is considered, the user can obtain results that are more relevant.

• 한국정밀공학회지
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• 제16권5호통권98호
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• pp.112-123
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• 1999

Virtual reality is becoming a powerful tool for various applications such as training, entertainment, surgery, tele-robotics etc. One potential use for virtual reality is to allow several users to interact in a single virtual environment, for example several students sitting in front of different computers connected over a network. In this paper, we present a loosely coupled architecture of haptic display in the multi-user virtual world. The method of controlling haptic devices as well as the way of configuring individual haptic display system are addressed. We will develop an experimental virtual reality system for two remote users and conclude with an experimental work for the task of a multi-player ping-pong and grasping of a common object.

• Asia pacific journal of information systems
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• 제25권1호
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• pp.179-210
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• 2015

Despite the increasing adoption of gamification and its huge potential in tourism, research in gamification is still limited. As preliminary findings show that the effectiveness of gamification depends on the context of its application and the players' use of the gamified app, this paper fills in these gaps: by exploring and analysing the application of gamification in a specific e-commerce tourism context; and assessing the gamification's effectiveness by measuring the players' gamification usage and the latter's behavioural and psychological outcomes. The gamified TripAdvisor website and its Facebook enabled gamification app are used as the specific context of the study. Findings from a survey conducted on TripAdvisor users provide useful practical and theoretical implications to gamification designers and researchers alike on how game mechanics can be designed for enhancing the users' motivation, flow, task involvement and engagement with the 'play' tasks, and so, increasing the gamification's effectiveness.

• 대한설비관리학회지
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• 제23권4호
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• pp.57-64
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• 2018

User-based collaborative filtering is a method of recommending an item to a user based on the preference of the neighbor users who have similar purchasing history to the target user. User-based collaborative filtering is based on the fact that users are strongly influenced by the opinions of other users with similar interests. Item-based collaborative filtering is a method of recommending an item by comparing the similarity of the user's previously preferred items. In this study, we create a recommendation model using user-based collaborative filtering and item-based collaborative filtering with consumer's consumption data. Collaborative filtering is performed by using RFM (recency, frequency, and monetary) technique with purchasing data to recommend items with high purchase potential. We compared the performance of the recommendation system with the purchase amount and the performance when applying the RFM method. The performance of recommendation system using RFM technique is better.

• Asia pacific journal of information systems
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• 제33권4호
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• pp.957-976
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• 2023

ChatGPT has had a significant impact on society, business, and academia by influencing individuals and organizations through knowledge generation and supporting users in locating conversational inquiries and answers. It can transform how people seek answers by combining human-like conversational skills with AI. By eradicating the cumbersome process of selecting from multiple options, users can conduct preliminary research or create optimized solutions. The purpose of this research is to investigate how consumers use ChatGPT and digital transformation, specifically in terms of knowledge development, searching and recommending, and optimizing accessible possibilities. Using many linked theories, we address the potential implications and insights that can be gained from ChatGPT's early stages and its integration with other applications such as robotics, service automation, and the metaverse. Finally, the application of ChatGPT has practical, theoretical, and phenomenological impacts, in addition to improving users' experiences.

• 농촌계획
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• 제27권3호
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• pp.93-102
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• 2021

This study was attempted to provide a scientific basis for the problem of location selection by spatial scale for efficient promotion of projects related to green care farm complex. Location potential assessment system in local government scale consists of two major components from demand-side and supply-side consideration. The demand-side aspect considered the characteristics of potential users, while supply-side aspect used total 18 indices over 8 divisions under 3 fields. For the location potential assessment in district scale, total 8 indices under 3 major divisions were considered based on biological, physical, social, and economic environment. The application results of the location potential evaluation system in local government scale(excluding metropolitan cities) showed high location potential in southern Gyeonggi Province and near Busan Metropolitan City. As a result of applying the district-scale location potential evaluation system to Geumsan-gun, Geumsan-eup, Chubu-myeon, and Jewon-myeon have high potential. Further studies to improve the applicability of the developed indices are recommended by enhancing assessment indices, complementing base data, and reinforcing with spatial analysis.

• 무역학회지
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• 제43권1호
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• pp.131-152
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• 2018

본 연구는 중국의 각 지역별 시장에 대한 옴니채널시장 잠재력을 분석·평가함으로써 한국 물류기업 및 소매유통기업의 협력진출을 위한 전략수립에 대한 시사점을 제시하는데 목적이 있다. 중국의 전자상거래, 소매판매, 특송서비스에 영향을 미치는 변수를 문헌연구를 토대로 추출하여 회귀분석 및 분산분해 분석을 실시하였다. 즉, 중국 31개 지역의 각 지역별 통계자료를 활용하여 각 지역별 전자상거래 및 소비재 소매판매액에 영향을 미치는 변수를 분석하였다. 또한 중국의 특송서비스 판매량, 물류GDP, 휴대폰 사용자 수의 상호 반응 정도를 추정하기 위해 분산분해 분석을 실시하였다. 연구결과를 토대로 지역별 순위를 선정하여 중국 옴니채널시장의 잠재력을 평가하였다. 또한 이를 바탕으로 소매기업과 물류기업의 중국 옴니채널 시장 진출방안에 대한 시사점을 제공하였다.