• Journal of the Korean Society of Clothing and Textiles
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• v.44 no.5
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• pp.789-809
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• 2020

Growth in online channels has created fierce competition; consequently, retailers have to invest an increasing amount of effort into attracting consumers. In this study, eye-tracking technology examined consumers' visual behavior to gain an understanding of information searching behavior in exploring product information for fashion products. Product attribute information was classified into two image-based elements (model image information and detail image information) and two text-based elements (basic text information, detail text information), after which consumers' visual behavior for each information element was analyzed. Furthermore, whether involvement affects consumers' information search behavior was investigated. The results demonstrated that model image information attracted visual attention the quickest, while detail text information and model image information received the most visual attention. Additionally, high-involvement consumers tended to pay more attention to detailed information while low-involvement consumers tended to pay more attention to image-based and basic information. This study is expected to help broaden the understanding of consumer behavior and provide implications for establishing strategies on how to efficiently organize product information for online fashion stores.

• Journal of Ocean Engineering and Technology
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• v.16 no.6
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• pp.1-6
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• 2002

The integration of Geographic Information Systems (GIS) with the hydrodynamic model was conducted in order to revitalize the use of geographical information and to aid in the understanding of tidal circulation patterns. A 2D finite difference numerical model was used to simulate n tidal circulation in the Suyoung Bay in Busan, Korea. CIS, especially the ArcView S/W is used to input the data of the numerical model, and is also used for the visualization of model outputs on the ground in the loosely coupled method. In this paper, an electronic navigational chart (ENC), which provides more accurate information in the ocean and coastal areas than any other digital information, is used as a base map for this integration. With the help of GIS, the integration can support th understanding of oceanographic information.

• Asia pacific journal of information systems
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• v.15 no.2
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• pp.97-120
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• 2005

As information systems are introduced in organizations, user attitudes toward IS are crucial factors for the success of such systems. Hence, understanding what affects user attitudes should be a major concern in MIS research. The purpose of this study is to improve the understanding of social influence on IS adoption. Social influence construct is stretched to include four items: subject norm, image, visibility, and voluntariness. Also, this paper examines the roles of two moderators regarding social influence: user characteristics and IT maturity. We could find that 1) social influence has a significant impact on perceived usefulness(PU), perceived ease of use(PEU), and intention, 2) the social influence on PU is more noticeable for knowledge worker than for undergraduate student, and 3) social influence on knowledge worker's PU is stronger for emerging IT(e.g., wireless internet services) than for mature IT(e.g., spreadsheet software).

• The Journal of Information Systems
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• v.23 no.1
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• pp.93-109
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• 2014

This study aims to develop a rich understanding of user goals in user-empowering information technologies which have been dominating part in the information systems environment. A particular focus is on users' goals in a social network site (SNS) which is a typical example of user-empowering technologies. Users conduct various activities in order to achieve diverse goals in SNS. Thus, investigating what goals users pursue in SNS will give insights into understanding the users. We employed the laddering interview technique and means-end chain approach. Interviews of 50 Facebook users were analyzed to produce a hierarchical goal map showing users' goal structure. The map contains 18 goals, including self-reflection, psychological stability, belongingness, improving productivity, and amusement as ultimate goals in SNS. In the map, there are varied routes from activities to ultimate goals in SNS; that is, a complex assembly consisting of activities and goals. The findings call the information systems research community to have more interests in diverse goals and values users seek with technologies.

• Journal of Communications and Networks
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• v.18 no.5
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• pp.784-795
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• 2016

In this paper, we investigate the resource allocation problem in time-varying heterogeneous wireless networks (HetNet) with multi-homing user equipments (UE). The stochastic optimization model is employed to maximize the network utility, which is defined as the difference between the HetNet's throughput and the total energy consumption cost. In harmony with the hierarchical architecture of HetNet, the problem of stochastic optimization of resource allocation is decomposed into two subproblems by the Lyapunov optimization theory, associated with the flow control in transport layer and the power allocation in physical (PHY) layer, respectively. For avoiding the signaling overhead, outdated dynamic information, and scalability issues, the distributed resource allocation method is developed for solving the two subproblems based on the primal-dual decomposition theory. After that, the adaptive resource allocation algorithm is developed to accommodate the timevarying wireless network only according to the current network state information, i.e. the queue state information (QSI) at radio access networks (RAN) and the channel state information (CSI) of RANs-UE links. The tradeoff between network utility and delay is derived, where the increase of delay is approximately linear in V and the increase of network utility is at the speed of 1/V with a control parameter V. Extensive simulations are presented to show the effectiveness of our proposed scheme.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.24 no.4
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• pp.53-73
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• 2013

This study revisits issues for Big data. Three research questions, understanding the concept of Big data, important issues of Big data research and utilization methods for library information services, are explored by the literature and practice reviews. Study results revealed several important issues of Big data including the concept in the context of real world situation, the problems with the accuracy and reliability of the data, privacy and ethical issues, and issues of intellectual property rights. With understanding these issues, a few utilization methods were introduced for Library and Information services. It was included using its analysis for developing vision, adopting Library management, supporting community services, and providing customized information services for various users. The study concluded Big data analysis would effectively provide valid evidences for all those services.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.273-283
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• 2022

Banking and finance is a broad term that incorporates a variety of smaller, more specialized subjects such as corporate finance, tax finance, and insurance finance. A virtual assistant that assists users in searching for information about banking and finance terms might be an extremely beneficial tool for users. In this study, we explored the process of searching for information, seeking opportunities, and developing a virtual assistant in the first stages of starting learning and understanding Vietnamese to increase effectiveness and save time, which is also an innovative business practice in Use-case Vietnam. We built the FIBA2020 dataset and proposed a pipeline that used Natural Language Processing (NLP) inclusive of Natural Language Understanding (NLU) algorithms to build chatbot applications. The open-source framework RASA is used to implement the system in our study. We aim to improve our model performance by replacing parts of RASA's default tokenizers with Vietnamese tokenizers and experimenting with various language models. The best accuracy we achieved is 86.48% and 70.04% in the ideal condition and worst condition, respectively. Finally, we put our findings into practice by creating an Android virtual assistant application using the model trained using Whitespace tokenizer and the pre-trained language m-BERT.

• International Journal of Computer Science & Network Security
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• v.21 no.5
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• pp.199-210
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• 2021

Recently, research in blockchain technology has grown in popularity. Most of these researches have pointed out designing and improving conceptual structures to create digital systems that are more secure, accessible, and effective. Although blockchain offers a wide range of advantages, it also has some pitfalls. This research aims to present an understanding of the properties of blockchain, the advantages, pitfalls, and applications based on blockchain technology. To achieve the goal of understanding blockchain technology concepts, a systematic literature review approach was introduced. 93 papers were chosen and reviewed in total. Therefore, this research provides a summary of recent studies that have been published in the field of blockchain. Moreover, we have created concept maps and tables that aid in a deep understanding of blockchain technology concepts and exhibit some of the blockchain applications. In blockchain-based applications, we focused on two areas, namely the Internet of Things (IoT) and healthcare.

• Journal of Information Technology Services
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• v.22 no.6
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• pp.55-70
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• 2023

This study conducted a fuzzy set qualitative comparative analysis study on culture and arts information portals to ensure practical and universal use and activation of culture and arts information portals. The capabilities and influence of affordances and system literacy according to user experience regarding accessibility to cultural arts information portals are as follows. First, physical affordances in the culture and arts information portal were key conditions for the culture and arts information portal user experience regarding system accessibility, system understandability, system usability, system usability, and system literacy. Second, the functional affordance of the user experience in the cultural arts information portal was relatively low and unimportant, and when the functional affordance was low, the user's system accessibility, system understanding, system usefulness, system usability, and system literacy were increased. Third, if the user's functional affordance and sensory affordance are low in the culture and arts information portal, the system accessibility, system understanding, system usability, and system literacy of the culture and arts information portal users are increased. Fourth, cultural arts information portals must build an innovative system with a systematic approach appropriate for the user base by linking system literacy capabilities with a focus on physical affordances.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 1995.04a
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• pp.891-895
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• 1995

This paper describes a solid modeling system based on a systematic description of techniques for analyzing and understanding on engineering drawings. Main stress is placed on clarifying the difference between the drawing understanding and the drawing recognition. The former, in which we feel major interest, is intrinsically a difficult problem because it inherent contains combinatorial search to require more than polynomial time. Actually, understanding drawings is regarded as a process to recover the information lost in projection 3-D objects to 2-D drawings. But, solid modeling by automatic understanding of the given drawings is one of the promising approach, which is described precisely in the text. Reviewing the studies performed so far, we summarize the future direction of the project and inevitable open problems left.