• Information Systems Review
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• v.22 no.2
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• pp.77-99
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• 2020

Smart speaker is a device that provides an interactive voice-based service that can search and use various information and contents such as music, calendar, weather, and merchandise using artificial intelligence. Since AI technology provides more sophisticated and optimized services to users by accumulating data, early smart speaker manufacturers tried to build a platform through aggressive marketing. However, the frequency of using smart speakers is less than once a month, accounting for more than one third of the total, and user satisfaction is only 49%. Accordingly, the necessity of strengthening the user experience of smart speakers has emerged in order to acquire a large number of users and to enable continuous use. Therefore, this study analyzes the user experience of the smart speaker and proposes a method for enhancing the user experience of the smart speaker. Based on the analysis results in two stages, we propose ways to enhance the user experience of smart speakers by model. The existing research on the user experience of the smart speaker was mainly conducted by survey and interview-based research, whereas this study collected the actual review data written by the user. Also, this study interpreted the analysis result based on the smart speaker user experience dimension. There is an academic significance in interpreting the text mining results by developing the smart speaker user experience dimension. Based on the results of this study, we can suggest strategies for enhancing the user experience to smart speaker manufacturers.

• Journal of Korean Library and Information Science Society
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• v.54 no.4
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• pp.281-306
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• 2023

This study analyzed the legal deposit, acquisition, and donation status from 2020 to 2022, along with the deposit status of e-publications with issued ISBNs. Through this analysis, the study derived improvement measures to strengthen compliance with legal deposit obligations for domestic e-publications. The key findings are as follows: The collection methods were acquisition (57.07%), legal deposit (41.74%), and donation (1.19%). The file formats varied, including e-books (pdf, epub), webtoons (jpg), and audiobooks (mp3). Most e-publications collected were published from 2012 to 2022, with some from 1960 to 2011. Webtoons dominated acquired materials, while legal deposits mainly comprised e-books. Analyzing the status of e-publications with issued ISBNs, e-books (96.2%) were most common, with the literature field receiving the highest number of ISBNs. Most ISBNs were issued during 2020 to 2022. Looking at the top 10 publishers, the low legal deposit rate indicates the need for improvement. To address this, proposed improvement measures include enhancing publishers' awareness of legal deposits, strengthening incentives and sanctions, encouraging voluntary participation through transparent disclosure of the legal deposit status, and improving the accuracy of data in the ISBN issuance and deposit system.

• Information Systems Review
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• v.21 no.4
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• pp.47-68
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• 2019

As cloud services and deployment models become diverse, there are a growing number of cloud computing selection options. Therefore, financial companies need a methodology to select the appropriated cloud for each financial computing system. This study adopted the Balanced Scorecard (BSC) framework to classify factors for the introduction of cloud computing in financial companies. Using Analytic Hierarchy Process (AHP), the evaluation items are layered into the performance perspective and the cloud consideration factor and a comprehensive decision model is proposed. To verify the proposed research model, a system of financial company is divided into three: account, information, and channel system, and the result of decision making by both financial business experts and technology experts from two financial companies were collected. The result shows that some common factors are important in all systems, but most of the factors considered are very different from system to system. We expect that our methodology contributes to the spread of cloud computing adoption.

• Journal of Korea Water Resources Association
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• v.57 no.5
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• pp.311-320
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• 2024

Climate change has been intensifying drought frequency and severity. Such prolonged droughts reduce reservoir levels, thereby exacerbating drought impacts. While previous studies have focused on optimizing reservoir operations using historical data to mitigate these impacts, their scope is limited to analyzing past events, highlighting the need for predictive methods for future droughts. This research introduces a novel approach for predicting minimum inflow at the Seomjingang dam which has experienced significant droughts. This study utilized the Stochastic Analysis Modeling and Simulation (SAMS) 2007 to generate inflow sequences for the same period of observed inflow. Then we simulate reservoir operations to assess firm yield and predict minimum inflow through synthetic inflow analysis. Minimum inflow is defined as the inflow where firm yield is less than 95% of the synthetic inflow in many sequences during periods matching observed inflow. The results for each case indicated the firm yield for the minimum inflow is on average 9.44 m³/s, approximately 1.07 m³/s lower than the observed inflow's firm yield of 10.51 m³/s. The minimum inflow estimation can inform reservoir operation standards, facilitate multi-reservoir system reviews, and assess supplementary capabilities. Estimating minimum inflow emerges as an effective strategy for enhancing water supply reliability and mitigating shortages.

• Information Systems Review
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• v.25 no.1
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• pp.75-91
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• 2023

Thanks to information technologies, sharing economy services offer a new way of consumption. Carsharing appeared as a novel type of service that transformed the conventional way of personal transportation, from owning a vehicle to using an on-demand service. Allowing users to use a vehicle without owning a car, carsharing provides various social benefits such as the reduction of resource allocation inefficiencies and the alleviation of transportation problems. To strengthen such positive aspects of carsharing service, it is essential to understand an individual's service usage pattern and reveal factors that affect users' reuse behavior. This study investigates the factors that have an influence on carsharing reuse of users applying RFMC (Recency, Frequency, Monetary, and Clumpiness) model, the popular model for understanding the reuse likelihood of customers. Using data from a leading carsharing service provider in South Korea, we empirically analyze the effect of RFMC on carsharing reuse behavior. The findings show that recency and monetary values are negatively related to reuse while frequency is positively related to carsharing service reuse. Moreover, the impact of recency and monetary value are more salient whereas the impact of frequency is smaller among users with higher clumpiness. Based on these findings, this study elaborates on theoretical and practical implications.

• Information Systems Review
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• v.25 no.1
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• pp.233-255
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• 2023

The development of information technology(IT) has brought so-called "online experience" to satisfy our daily needs. The market for online experiences grew more during the COVID-19 pandemic. Therefore, this study attempted to analyze how the features of online experience services affect customer satisfaction by crawling structured and unstructured data from the online experience web site newly launched by Airbnb after COVID-19. As a result of the analysis, it was found that the structured data generated by service users on a C2C online sharing platform had a positive effect on the satisfaction of other users. In addition, unstructured text data such as experience introductions and host introductions generated by service providers turned out to have different subjectivity scores depending on the purpose of its text. It was confirmed that the subjective host introduction and the objective experience introduction affect customer satisfaction positively. The results of this study are to provide various implications to stakeholders of the online sharing economy platform and researchers interested in online experience knowledge management.

• Journal of the Korean Recycled Construction Resources Institute
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• v.12 no.1
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• pp.63-71
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• 2024

Through the development of construction technology, various construction projects such as redevelopment projects, undergrounding of roads, expansion of subways, and metro railways are being carried out. However, this has led to an increase in the number of construction projects in existing urban centers and neighborhoods, resulting in an increase in the number of damages and disputes between neighboring buildings and residents, as well as an increase in safety accidents due to the aging of existing buildings. In this study, digital data was applied to a graphics program to objectify the progress of cracks by comparing the creation of cracks and the increase in length and width through photographic images and presenting the degree of cracks numerically. Through the application of the program, the error caused by the subjective judgment of crack change, which was mentioned as a shortcoming of the existing field survey, was solved. It is expected that the program can be used universally in the building diagnosis process by improving its reliability if supplemented and improved in the process of use. As a follow-up study, it is necessary to apply the extraction algorithm of the digital graphic data program to calculate the length and width of the crack by itself without human intervention in the preprocessing work and to check the overall change of the building.

• Knowledge Management Research
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• v.25 no.1
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• pp.67-88
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• 2024

Smart tourism aims to maximize the utilization of local tourism resources, effectively manages cities and contributes to improving communication and quality of life between tourists and residents. Therefore, smart tourism emphasizes synergistic collaboration, considering both residents and tourists. This study explores smart tourism interaction and roles in enhancing regional competitiveness. By conducting thorough examination, focusing on integrating the four key elements of smart tourism city (smart experience, smart convenience, smart accessibility, and smart platform) with local residents, local businesses, regional resources, and ecosystem to foster positive synergies, Incheon smart tourism city project was employed as a single case study design. Research results indicate that the collaborative model of a smart tourism city positively impacts service satisfaction and strengthens regional tourism competitiveness. Building upon these results, this study aims to contribute to the development of smart tourism cities by proposing directions for future development and emphasizing the enhancement of regional competitiveness through the integration of smart technology and local tourism.

• Journal of Applied Biological Chemistry
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• v.66
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• pp.39-45
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• 2023

Biorenovation is a biotransformation method that converts the structure of chemical compounds and natural product through biocatalytic metabolism of microorganism and could enhance biological effectiveness and mitigate cytotoxicity compared to its substrates. Althaea rosea L. has been used as oriental medicine and is known for physiological efficacies such as antiurolithiatic, anti-inflammatory, and anti-cancer activities. A. rosea L. callus, the plant tissue grown to protect its wound, has been reported to have antioxidant and whitening effects. However, mechanisms of its other activity such as inflammation have not yet been investigated. In this study, we extracted A. rosea L. callus (AR) and produced biorenovated AR (ARBR), and then analyzed anti-inflammatory effect in Lipopolysaccharide-induced RAW 264.7 macrophage at 50, 100, 200 ㎍/mL of ARBR. As a result of inhibition test of nitric oxide production, it was found that ARBR was superior to AR without apparent toxicity. Furthermore, ARBR significantly inhibited production of prostaglandin E₂, inducible nitric oxide synthase, cyclooxygenase-2 and pro-inflammatory cytokines including Tumor necrosis factor-α, Interleukin-6, Interleukin-1β in a concentration-dependent manner. In conclusion, we suggest that ARBR could regulate the excessive inflammatory response to an appropriate level and be a promising material for functional cosmetics and pharmaceuticals.

• Informatization Policy
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• v.31 no.1
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• pp.53-71
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• 2024

Digital transformation calls for a new social contract that must transform the existing norms and paradigms of our society. Digital constitutionalism is a way of building new order through a new social contract and is an ideology that aims to establish and ensure a normative framework for the protection of fundamental rights and balance of power in the digital environment. The Internet/Digital Bill of Rights is a representative example of constitutionalization based on this ideology. Initially, it took the form of an informal, non-binding declaration led by civil society organizations or various stakeholders, setting forth normative principles adapted to the changing nature of digital society. More recently, they have taken the form of formal charters, declarations, or laws containing principles at the national or regional level. The "Digital Bill of Rights" proposed by the Korean government can be seen as an example of this trend, but it does not fully reflect the recent trend of Internet/Digital Bills of Rights in terms of substantive and procedural legitimacy. Even if the government provides a certain normative direction, it needs to be combined with a concrete action plan in each area to create a balance of norms with digital technologies and industries instead of simply being a "declaration".