• The Journal of Information Systems
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• v.26 no.3
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• pp.1-23
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• 2017

Purpose With the advent of the 4th Industrial Revolution era, ICT convergence industry is leading the wave of new change. These changes in the industrial field are recognizing convergence as a strategic cooperation tool of management for creating new value. In order to achieve the research purpose, conceptual understanding of ICT convergence is summarized by focusing on concepts, features, types and cases. In addition, this study established the theoretical rationale for the determinants of ICT convergence performance, and examined previous researches related to ICT convergence. Design/methodology/approach The empirical research method is based on a survey of 510 companies including managers and mid-level practitioners who understand the contents of the relevant field, 305 data were used for analysis. We conducted exploratory factor analysis to verify the grouping of these questionnaire items and conducted confirmatory factor analysis to analyze the validity and reliability of the measurement model. Through the statistical analysis, we analyzed the structural relationship of ICT firms' competencies for convergence performance. Findings Linkage of ICT strategies established by corporations is an important factor for enhancing resource capacity and convergence ability. It is important to ensure that product innovation, consumer-oriented strategies, and ICT strategies for the implementation of business strategies are closely linked. In addition, in the convergence environment, companies should make efforts to develop convergence ability and improve organizational performance through utilization of ICT resources. From the CEO's perspective, it is necessary to understand the knowledge, technology and resources arising from the convergence environment, and to integrate with the resources possessed by the enterprise to induce the organization's performance.

• Journal of Wellbeing Management and Applied Psychology
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• v.7 no.3
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• pp.43-53
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• 2024

Purpose: his study aims to explore how healthcare provider service characteristics in telemedicine services, which have become more common since the pandemic, affect rapport formation and service satisfaction with healthcare providers. Research design, data and methodology: A group of actual telemedicine users underwent data collection and empirical analysis. After analyzing reliability and validity, hypotheses were tested using a structural equation model. Results: Key perceived attributes of healthcare providers in telemedicine services were identified as doctor effort, doctor listening, and doctor expertise. Each of these variables had a significant positive impact on trust in telemedicine. Moreover, these attributes significantly positively impacted rapport formation and user service satisfaction, which was mediated by trust. However, the direct impact of rapport formation on service satisfaction was not supported. Conclusions: The study's findings have academic and practical implications for expanding telemedicine services. As an initial empirical study on telemedicine services, it confirms the importance of trust and rapport formation even in non-face-to-face medical situations. In order to overcome the limitations of non-physical contact, telemedicine services should strive to develop UI/UX designs that are more interoperable and boost trust in service apps.

• Journal of the Korean Society of Industry Convergence
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• v.27 no.3
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• pp.635-644
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• 2024

Although the business model(BM) patents act as a creative bridge between technology and the marketplace, limited scholarly attention has been paid to the content analysis of BM patents. This study aims to contextualize converging BM patents by employing topic modeling technique and clustering highly marketable topics, which are expressed through a topic-market impact matrix. We relied on BM patent data filed between 2010 and 2022 to derive empirical insights into the commercial potential of emerging business models. Subsequently, nine topics were identified, including but not limited to "Data Analytics and Predictive Modeling" and "Mobile-Based Digital Services and Advertising." The 2x2 matrix allows to position topics based on the variables of topic growth rate and market impact, which is useful for prioritizing areas that require attention or are promising. This study differentiates itself by going beyond simple topic classification based on topic modeling, reorganizing the findings into a matrix format. T he results of this study are expected to serve as a valuable reference for companies seeking to innovate their business models and enhance their competitive positioning.

• Korean Journal of Computational Design and Engineering
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• v.18 no.4
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• pp.250-257
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• 2013

This paper introduces a failure analysis procedure that underpins real-time fault prognosis. In the previous study, we developed a systematic eventization procedure which makes it possible to reduce the original data size into a manageable one in the form of event logs and eventually to extract failure patterns efficiently from the reduced data. Failure patterns are then extracted in the form of event sequences by sequence-mining algorithms, (e.g. FP-Tree algorithm). Extracted patterns are stored in a failure pattern library, and eventually, we use the stored failure pattern information to predict potential failures. The two practical case studies (marine diesel engine and SIRIUS-II car engine) provide empirical support for the performance of the proposed failure analysis procedure. This procedure can be easily extended for wide application fields of failure analysis such as vehicle and machine diagnostics. Furthermore, it can be applied to human health monitoring & prognosis, so that human body signals could be efficiently analyzed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.20 no.6
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• pp.1081-1086
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• 2016

While smart learning have been introduced for more learning effect, this study is to understand instructor's smart learning acceptance using technology acceptance model(TAM). This study developed the extended TAM model, including external pressure for smart learning and smart self efficacy for smart devices as study variables and attempted to examine the research model through the empirical analysis. The research model has the 7 variables including smart self-efficacy and external pressure. For the empirical study, the survey was conducted for the one month, March, 2016, and the total 143 data among the collected 167 responses were used for the empirical analysis. As the result of the analysis through the structural equation model, the 9 paths among the total 10 paths show the significant relationships between the variables. Through using the result of this study, it is to provide suggestions for the improvement of smart learning environments.

• Convergence Security Journal
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• v.11 no.3
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• pp.19-24
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• 2011

Software failure time presented in the literature exhibit either constant monotonic increasing or monotonic decreasing, For data analysis of software reliability model, data scale tools of trend analysis are developed. The methods of trend analysis are arithmetic mean test and Laplace trend test. Trend analysis only offer information of outline content. In this paper, we discuss forecasting failure time case of failure time censoring. In this study, time series analys is used in the simple moving average and weighted moving averages, exponential smoothing method for predict the future failure times, Empirical analysis used interval failure time for the prediction of this model. Model selection using the mean square error was presented for effective comparison.

• Journal of Information Technology Applications and Management
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• v.23 no.4
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• pp.1-23
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• 2016

The growth of information and communication technology (ICT) has led to a rapid of business paradigm shift incurred in the creation of new social/market value, changes of a value chain and elements producing a value creation, and enlargement of the scope of market competition. It leads to the change and evolution of industrial structure, requiring innovations of policy and institution. However, most studies that have focused on the effect of policy and institution on innovation are based on thick description and qualitative evidence, while paying little attention to these linkages in an empirical way. Hence this study has attempted to empirically analyze policy and institutional factors affecting innovation performance, particularly attention to ICT industry in OECD countries. The findings derived from the empirical analysis provide important implications for catch-up countries in relation to the innovations of policy and institution for effective innovation system and start-up ecosystem.

• Journal of Industrial Convergence
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• v.18 no.5
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• pp.14-22
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• 2020

In this study, in addition to non-technical innovation activities such as organizational innovation and marketing innovation, the purpose of this study was to verify through empirical analysis what mechanism appropriation affects the business performance of a company. Data were collected from the 2018 Korean Business Innovation Survey: Manufacturing Sector and used as analysis data. As a result of the analysis, it was verified through empirical analysis that non-technical innovation improves management performance, appropriability is affected by non-technical innovation, and acts as a mediating factor between management performance. Through this empirical analysis, it was derived that considering appropriation along with non-technical innovation on the recently studied non-technical innovation can be a meaningful study, and since securing such appropriation is an important factor in determining the business performance of a company. Companies need insight into the strategic use of technology protection measures to secure appropriation. As a limitation, it was limited to studies that verify that it has a mediating effect of non-technical innovation and appropriation, and it is considered that it is possible to develop a study that affects the management performance of a company through more various verification methods for future studies.

• Journal of Digital Convergence
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• v.14 no.7
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• pp.497-506
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• 2016

The purpose of this study is to inquire into the relationships between empirical value, emotional response and behavioral response of skin-SCUBA diving participants. This study sampled 300 skin-SCUBA diving participants in the SCUBA diving pool of the Seoul Olympic Stadium, and the SCUBA diving pool of the Suwon World Cup Stadium by using convenience sampling. For data processing, this study conducted frequency analysis, exploratory factor analysis, reliability analysis, correlation analysis and multi-regression analysis using PASW 18.0 Ver. The concrete results are as follows: First, the empirical value of a skin-SCUBA diving participant was found to have a significant influence on emotional responses. Second, the empirical value of a skin-SCUBA diving participant was found to have a significant influence on behavioral responses. Third, the emotional response of a skin-SCUBA diving participant was found to have a significant influence on behavioral responses.

• The Journal of Economics, Marketing and Management
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• v.6 no.4
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• pp.29-39
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• 2018

Purpose - With the improvement of people's living standards, traveling abroad has become a common way for people to release the pressure of life and work. In economics, this kind of way can affect the international trade. Because of this background, this paper sets BRICS countries as an example to explore the impact of cross-border tourism on bilateral trade. Research design, data, and Methodology - The annual time series data sets form 1998 to 2016 are used to perform an empirical analysis under a series of econometric approaches such as the Phillips-Perron test and the Engle-Granger two-step test. In this paper, the cross-border tourism and the bilateral trade will be used to conduct an empirical analysis based on the econometric approaches to analyze the impact of cross-border tourism on bilateral trade. Results - The finding of this paper show that there is a long-run relationship between cross-border tourism and bilateral trade in this sample. Moreover, the cross-border tourism is the Granger causality of bilateral trade. Namely, the cross-border tourism can promote the development of bilateral trade. Conclusions - In short, the evidences that this paper presents show that the cross-border tourism is a driving factor that impacts the bilateral trade in the sample of BRICS countries.