• Knowledge Management Research
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• v.12 no.3
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• pp.97-109
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• 2011

The purpose of this paper is to analyze what are the key determinants in selection of mobile banking technology platform, main challenges in a given developments of technology as well as rate the importance of factors in regards to various criterions. In addition, this paper proposes comprehensive approach for solving mobile banking technology platform selection problem. To serve the purpose, this paper uses the Analytic Hierarchy Process (AHP) to select best mobile banking technology platform for not only in functionality aspect, but also in organizational aspect. We expect that the results of this study will be useful for banks who have intention to select mobile banking technology platform in the future.

• Journal of Platform Technology
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• v.11 no.5
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• pp.37-48
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• 2023

Since the announcement of the Financial Services Commission's 'Token Securities Issuance and Distribution System Improvement Plan' in February 2023, financial institutions, securities firms, and blockchain companies have been actively considering implementing IT platforms, but they are facing difficulties in selecting IT platforms for token securities because related legal regulations have not yet been clearly established. As a result, the need for rational and systematic criteria for the selection of blockchain-based token securities IT platforms has emerged, and this study explores and evaluates the key factors of token securities IT platform selection. Four factors were identified as the top-level factors, including 'maturity of the platform', 'operation and management of the platform', 'cost of introducing and maintaining the platform', and 'regulatory compliance for token securities', and 17 factors were identified as sub-level factors, including 'diversity', 'user authentication management', 'Adoption Costs', and 'financial regulations'. Among the 17 sub-factors, 'government financial regulation' and 'personal information protection' are selected as important factors, and the results of this study can help related organizations and financial companies make strategic decisions by providing systematic decision-making criteria for selecting token securities IT platforms.

• Journal of Korea Society of Industrial Information Systems
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• v.26 no.6
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• pp.81-96
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• 2021

This study examines the importance of factors that influence the online platform selection decision to support operational optimization strategies. For the research purpose, we first reviewed previous studies on service encounters and identified those factors that have been proven important for using online platforms. Second, this study analyzed the factors that customers perceived as important based on analytical hierarchy process (AHP) of the data we collected from 10 mobile or computer-based Internet users. The study results revealed that the important factors for the online platform selection were in the following order: product diversity (27.4%), ease of use (21.5%), brand credibility (18.1%), interactions with the service provider (17.7%), and ease of accessibility (15.3%). The study provides useful insights to online platform service providers in developing strategies for customer-focused value creation.

• Journal of Korea Multimedia Society
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• v.18 no.4
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• pp.533-540
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• 2015

We study relay selection in decode-and-forward (DF)-based relay networks consisting of a source, a destination, an eavesdropper, and multiple relays, where each terminal has a single antenna and operates in a half-duplex mode. In these networks, it is desirable to protect the confidential message from the source to the destination against the eavesdropper with the help of a single selected relay. Specifically, we begin by investigating DF-based networks for the scenario instantaneous signal-to-noise ratios (SNRs) related to the eavesdropper are available. For the scenario, we propose relay selection to maximize the secrecy rate of DF-based networks with and without direct-paths, and we derive the exact secrecy outage probabilities in closed-form.

• Journal of the Korea Society of Computer and Information
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• v.28 no.1
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• pp.161-170
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• 2023

In this study, based on existing studies on music streaming services and e-services, the selection factors for music streaming platforms were derived, and the AHP technique was implemented to calculate the importance of each factor. As a result of this study, economic feasibility was found to be the most important factor among security, economic feasibility, informativeness, convenience, and responsiveness, which are the first-step selection factors of music streaming platforms. As a result of synthesizing the weights of the first and second factors, reasonable price was found to be the most important factor. Finally, an additional analysis was conducted to determine whether there was a difference in importance between the selection factors of the music streaming platform according to gender and age. Through this study, it will be possible to figure out the factors that consumers consider most important when using a music streaming platform.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.3
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• pp.193-216
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• 2024

Academic information providers are working on developing and establishing new types of content in response to the diverse academic content needs of researchers. To efficiently build and manage a wide range of content, these institutions are establishing digital curation platforms. These platforms apply digital transformation technologies to automate the collection, construction, and management of academic content, supporting researchers' activities by providing necessary content. To operate these platforms efficiently, it is essential to establish criteria that can effectively address the diverse content needs of users. We developed indicators for selecting new content and applied these selection priorities on a trial basis to the digital curation platform. The indicators for new content selection include content value, user demand and satisfaction, and the ease and efficiency of content collection, construction, and management. These indicators can be utilized during the acquisition and selection stages of the digital resource lifecycle.

• Bulletin of the Korean Chemical Society
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• v.32 no.4
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• pp.1237-1240
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• 2011

In this study, we have developed a ligand-based in-silico prediction model to classify chemical structures into hERG blockers using Bayesian and random forest modeling methods. These models were built based on patch clamp experimental results. The findings presented in this work indicate that Laplacian-modified naive Bayesian classification with diverse selection is useful for predicting hERG inhibitors when a large data set is not obtained.

• Journal of IKEEE
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• v.22 no.4
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• pp.1093-1098
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• 2018

In this paper, we proposed a methodology for portable disease diagnosis platform using high performance computing. The proposed methodology consists of gathering clinical data, diagnosis and feature selection algorithm, implementation of diagnosis platform. For the algorithm verification, a clinical data which is obtained from 401 people(314 normal subjects and 87 liver cancer patients) using a microarray consists of 1,146 aptamers were used. As the result, we could diagnosis liver cancer with 97.5% accuracy using the 32 selected aptamers. Based on these results, we designed and implemented a portable disease diagnosis platform which has 32 bio-signals as inputs.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.8
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• pp.3389-3404
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• 2012

Based on the case study methods, the study analyzes emergence and ensuing typology of global ebook platforms such as Google eBook, Amazon Kindle, iBooks Store. Global ebook platforms show adaptation process responding to rapidly changing digital technological envirment and it's fitness landscape. The critical elements in its emerging process are the distinct selection criteria, the degree of resource abundance and the search process based on open innovation. Based on these critical elements, the global platforms show speciation process, so called niche creation and are evolving into a variety of the typology based on the initial condition of key resource which makes the platform emerge and grow. Each global ebook platforms is evolving into open platform, hybrid platform, closed platform. Google eBook has openness and extensibility due to a variety of devices based on Android and a direct involvement of actors. Amazon Kindle has developed from a online bookstore and into the hybrid platform which have not only closed quality but also openness with ebook devices and mobile network. iBooks Store has developed into the closed platform through the agency model based on competitive hardwares and closed quality with iphone and ipad.

• The Journal of the Convergence on Culture Technology
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• v.10 no.3
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• pp.851-860
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• 2024

This study analyzes the impact of online streaming services, particularly Over The Top (OTT) services, on consumer media consumption patterns in the digital age. It examines how consumer-centric service values affect OTT platform choice, consumer satisfaction, and brand loyalty, focusing on various factors such as content diversity, ease of use, affordability, brand awareness, and personalized services. The findings reveal that content diversity, ease of use, and affordability are significant factors positively influencing consumer satisfaction and brand loyalty, thereby motivating OTT platform selection. Contrary to expectations, personalized services did not have a significant impact. This research provides critical insights for OTT service providers to enhance consumer-centric values and develop competitive service strategies.