• 한국체육학회지인문사회과학편
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• v.55 no.4
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• pp.227-240
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• 2016

Research misconduct has been a strong societal concern in sport and leisure studies. However, little is known about the complex mechanisms and ways of promoting research integrity. This study aimed at exploring the ways in which research integrity in sport and leisure studies could be established from the perspectives of academia. Employing a grounded theory approach, 13 academics and graduate students were invited to the study. Data were collected primarily through focus group and one-on-one follow-up interviews. Perceived negative factors contributing to research misconduct within socio-political/socio-environmental, socio-cultural, and personal contexts were identified. Three approaches, (a) top-down approach, (b) bottom-up approach, and (c) continuous education, as well as subsequent practical strategies were also suggested for the enhancement of research integrity within the field. This paper provided empirical knowledge regarding barriers to and opportunities for improving research integrity in sport and leisure studies.

• 제어로봇시스템학회:학술대회논문집
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• 2002.10a
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• pp.117.3-117
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• 2002

In this paper a new framework is presented for developing the personal robot being used in home environments. We mainly focus on the system engineering technology such as the modularization and standardization. Effective ways for interfacing among modules are addressed regarding compatibility in hardware and software, and as a result a personal robot platform named DHR I is built. The robot is composed of five modules such as brain, mobile, sensor, vision, and user interface modules. Each module can be easily plugged in the system in a mechanical as well as electrical sense by sharing the communication protocol with IEEE1394 FireWire. &n...

• International Commerce and Information Review
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• v.8 no.1
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• pp.417-435
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• 2006

A Systematic Wealth Management Framework (SWMF) was developed as a private banking management tool to enable more integrative personal finance management of personal wealth. It is a reference model that provides an unified framework for development, operation, and management and makes provision for personal financial services in today's complex financial environment. This study suggested some practical results from banks and insurance companies that have established SWMF as the differentiation business strategy for wealthy customers. The focus of this manuscript is on capturing the methodological approach most financial institutions in Korea adopted to execute new e-finance planning and implementation based on the SWMF. The alignment between the wealth management business goals and information system architecture at an organization constitutes the main theoretical basis of the study. Relevant discussions are made on the wealth management framework as a general business model for financial industry, on the functional relationship between new information systems and business organizations. Finally, lessons learned from the SWMF implementation are discussed.

• Journal of Digital Convergence
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• v.12 no.5
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• pp.57-68
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• 2014

This article analyses frame transition of personal information leakage in Korea from 1984 to 2014. In order to investigate the transition, we have collected newspaper article's titles. This study adopts classification, text network analysis(by co-occurrence symmetric matrix), and clustering techniques as part of social network analysis. Moreover, we apply definition of centrality in network in order to reveal the main frame formed in each of four periods. As a result, accessibility of personal information is extended from public sector to private sector. The boundary of personal information leakage is expanded to overseas. Therefore it is urgent to institutionalize the protection of personal information from a global perspective.

• Imaging Science in Dentistry
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• v.51 no.2
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• pp.187-193
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• 2021

Purpose: This study aimed to assess the usefulness of machine learning and automation techniques to match pairs of panoramic radiographs for personal identification. Materials and Methods: Two hundred panoramic radiographs from 100 patients (50 males and 50 females) were randomly selected from a private radiological service database. Initially, 14 linear and angular measurements of the radiographs were made by an expert. Eight ratio indices derived from the original measurements were applied to a statistical algorithm to match radiographs from the same patients, simulating a semi-automated personal identification process. Subsequently, measurements were automatically generated using a deep neural network for image recognition, simulating a fully automated personal identification process. Results: Approximately 85% of the radiographs were correctly matched by the automated personal identification process. In a limited number of cases, the image recognition algorithm identified 2 potential matches for the same individual. No statistically significant differences were found between measurements performed by the expert on panoramic radiographs from the same patients. Conclusion: Personal identification might be performed with the aid of image recognition algorithms and machine learning techniques. This approach will likely facilitate the complex task of personal identification by performing an initial screening of radiographs and matching ante-mortem and post-mortem images from the same individuals.

• Informatization Policy
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• v.28 no.4
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• pp.76-92
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• 2021

The value of personal information is increasing with the digital transformation of the 4th Industrial Revolution. The purpose of this study is to analyze the efficiency of personal information protection efforts of 2,000 private companies. It uses a stochastic frontier approach (SFA), a parametric estimation method that measures the absolute efficiency of protective activities. In particular, the personal information activity index is used as an output variable for efficiency analysis, with the personal information protection budget and number of personnel utilized as input variables. As a result of the analysis, efficiency is found to range from a minimum of 0.466 to a maximum of 0.949, and overall average efficiency is 0.818 (81.8%). The main causes of inefficiency include non-fulfillment of personal information management measures, lack of system for promoting personal information protection education, and non-fulfillment of obligations related to CCTV. Policy support is needed to implement safety measures and perform personal information encryption, especially customized support for small and medium-sized enterprises.

• The Journal of Information Systems
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• v.26 no.1
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• pp.93-123
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• 2017

Purpose The purpose of this study is to deduct the factors for explaining the economic behavior of an Internet user who provides personal information notwithstanding the concern about an invasion of privacy based on the Information Privacy Calculus Theory and Communication Privacy Management Theory. Design/methodology/approach This study made a design of the research model by integrating the factors deducted from the computation theory of information privacy with the factors deducted from the management theory of communication privacy on the basis of the Dual-Process Theory. In addition, this study, did empirical analysis of the path difference between groups by dividing Internet users into a group having experience in personal information spill and another group having no experience. Findings According to the empirical analysis result, this study confirmed that the Privacy Concern about forms through the Perceived Privacy Risk derived from the Disposition to value Privacy. In addition, this study confirmed that the behavior of an Internet user involved in personal information offering occurs due to the Perceived Benefits contradicting the Privacy Concern.

• The Journal of the Korea Contents Association
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• v.7 no.3
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• pp.87-92
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• 2007

This paper describes the personal video recorder-based approach to realise enhanced services for interactive programmes on digital television. So far it is very difficult that most of interactive programmes included the vast quantities of contents, whatsoever it is data-broadcasting or HD-ready, are broadcasted on digital television via the current set-top box. Furthermore it was not possible to envisage until IPTV has been appeared. Even though IPTV makes possible for streaming the interactive services via high-speed broadband, it is not easy to receive the tremendous contents with interactivity through the current set-top box in a single effort. In this paper it suggests the effective solution to resolve the download dilemma for providing the interactive services on digital television by employing the set-top box fitted with the personal video recorder.

• The Journal of Information Systems
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• v.30 no.4
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• pp.203-226
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• 2021

Purpose The purpose of this study is to enhance the accuracy score of personal credit scoring using the convolutional neural networks and secure the transparency of the deep learning model using eXplainalbe Artifical Inteligence(XAI) technique. Design/methodology/approach This study built a classification model by using the convolutional neural networks(CNN) and applied a methodology that is transformation of numerical data to imaged data to apply CNN on personal credit data. Then layer-wise relevance propagation(LRP) was applied to model we constructed to find what variables are more influenced to the output value. Findings According to the empirical analysis result, this study confirmed that accuracy score by model using CNN is highest among other models using logistic regression, neural networks, and support vector machines. In addition, With the LRP that is one of the technique of XAI, variables that have a great influence on calculating the output value for each observation could be found.

• Asia-Pacific Journal of Business
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• v.14 no.2
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• pp.17-31
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• 2023

Purpose - The purpose of this study is to verify the effects of attributes of personal media content and influencers on the cognitive and emotional trust of platform users. In addition, the structural relationships among cognitive trust, emotional trust, viewing commitment, and purchase intention were examined. Design/methodology/approach - For the empirical analysis of the study, a survey was conducted on 192 consumers who have recently experienced using personal media content. The Confirmatory Factor Analysis (CFA) and the Structure Equation Model (SEM) were hired in order to analyze the survey data. Findings - Findings of this study are 1) informativeness and expertise had a significant effect on cognitive and emotional trust. However, entertainment had no significant effect on both cognitive and emotional trust; 2) interactivity had a significant effect on emotional trust, but not on cognitive trust; 3) cognitive and emotional trust had a positive effect on the viewing commitment of the content; 4)content users' viewing commitment had a positive effect on their intention to purchase recommended products. Research implications or Originality - The theoretical and practical implications were discussed through the above empirical research results, and the limitations of the study and the direction of follow-up studies were presented.