• Journal of Korean Society for Quality Management
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• v.36 no.2
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• pp.67-84
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• 2008

Given the industry's unprecedented attention and dedication of resources to voice recognition, this paper introduces and explores a novel idea generation technique whereby ideas are captured directly through verbalization rather than forcing group members to type ideas. A group simulator was used to measure the idea generation performance of individuals who input ideas verbally or via typing in the context of nominal and interacting groups. The results clearly indicate that verbal input represents a more desirable mechanism in a computer-mediated idea generation environment. Liberating group members from the keyboard produces remarkable performance gains. Verbalizing ideas helps individuals focus on analytical thinking and leverage group member ideas, ultimately facilitating the creation of ideas pools that are vastly superior in terms of quantity and quality. These effects were found across nominal and interacting groups. The implications of these results for future research and the design of technologies are discussed.

• Communications for Statistical Applications and Methods
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• v.21 no.3
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• pp.225-234
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• 2014

We propose a novel hierarchical clustering for distribution valued dissimilarities. Analysis of large and complex data has attracted significant interest. Symbolic Data Analysis (SDA) was proposed by Diday in 1980's, which provides a new framework for statistical analysis. In SDA, we analyze an object with internal variation, including an interval, a histogram and a distribution, called a symbolic object. In the study, we focus on a cluster analysis for distribution valued dissimilarities, one of the symbolic objects. A hierarchical clustering has two steps in general: find out step and update step. In the find out step, we find the nearest pair of clusters. We extend it for distribution valued dissimilarities, introducing a measure on their order relations. In the update step, dissimilarities between clusters are redefined by mixture of distributions with a mixing ratio. We show an actual example of the proposed method and a simulation study.

• Journal of the Korean Society of Safety
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• v.27 no.4
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• pp.62-67
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• 2012

Risk Assessment, a basis of health and safety management system, is an calamity prevention activity which regularly measure the level of a risk to passively improve potential hazard. A problem, the assessment not being improved to be applied to the construction work site where requires diversity and complexity, causes the assessment to be inefficient to bring quality results. A study on the investigates and compares the surveyed degree of recognitions of workers who works in companies executing the risk assessment By the investigation and comparison, it is expected to bring the better solution for early and efficient application for those companies which are not taking the risk assessment.

• Korean Management Science Review
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• v.23 no.3
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• pp.119-132
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• 2006

Since the guaranteed service quality(QoS) is spotlighted as a strategic competitive tool to Broadband Convergence Network(BcN) service providers, many scholars have dealt with QoS issues in the BcN environment. However, just a few researchers focus on end-users and most are lean toward service providers or technology itself. In this paper, therefore, we investigated how end-users could measure service quality in the BcN environment, and moreover, proposed the end-user oriented measurement guideline for BcN QoS. Through literature review and two surveys, four QoS dimensions and nineteen measurement items were derived from end-user's perspective. proposed QoS dimension and items would be utilized as meaningful tools for future BcN service.

• Knowledge Management Research
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• v.12 no.5
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• pp.41-57
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• 2011

Social commerce is simply a kind of e-commerce by adopting SNS(Social networking service). It has been spread as SNS is widely used all over the world. In this situation, companies attempt to make the best use of social commerce to understand its advertising effect and to sell more products and/or services they provide. Although social commerce is a recent trend in Korea, it is necessary for companies to find a way to effectively adopt and utilize the social commence. Therefore, the focus of this study is to identify critical success factors for social shopping. We generated 40 items to measure 8 constructs. Using data collected from 300 respondents who have experienced both SNS and social shopping, we analyzed our model and its hypotheses. The analysis result shows that social shopping customers don't use SNS to get information when they purchase products and/or services in social shopping web sites.

• Communications for Statistical Applications and Methods
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• v.23 no.4
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• pp.297-319
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• 2016

Football match predictions are of great interest to fans and sports press. In the last few years it has been the focus of several studies. In this paper, we propose the Poisson regression model in order to football match outcomes. We applied the proposed methodology to two national competitions: the 2012-2013 English Premier League and the 2015 Brazilian Football League. The number of goals scored by each team in a match is assumed to follow Poisson distribution, whose average reflects the strength of the attack, defense and the home team advantage. Inferences about all unknown quantities involved are made using a Bayesian approach. We calculate the probabilities of win, draw and loss for each match using a simulation procedure. Besides, also using simulation, the probability of a team qualifying for continental tournaments, being crowned champion or relegated to the second division is obtained.

• Communications for Statistical Applications and Methods
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• v.25 no.2
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• pp.185-197
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• 2018

Measuring market fear is an important way of understanding fundamental economic phenomena related to financial crises. There have been several approaches to measure market fear or panic level in a financial market. Recently, herd behavior has gained its popularity as important economic phenomena explaining the fear in the financial market. In this paper, we investigate herd behavior in global stock markets with a focus on intercontinental comparison. While various risk measures are available for the detection of herd behavior in the market, we use the standardized herd behavior index in Dhaene et al. (Insurance: Mathematics and Economics, 50, 357-370, 2012b) and Lee and Ahn (Dependence Modeling, 5, 316-329, 2017) for the comparison of herd behaviors in global stock markets. A global stock market data from Morgan Stanley Capital International is used to study herd behavior especially during periods of financial crises.

• Proceedings of the Korea Association of Information Systems Conference
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• 1997.10b
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• pp.271-285
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• 1997

This paper address the issues of satisfaction factors to measure the service quality in computer communication service users. In order to develope a satisfaction factors' model, we study appropriate quality factors of the service through the focus group interviews with service users, and surveys the quality levels that users have felt in services. It also analyzes the relationship between the user's quality level and the quality factors by the statistical analyses. Based on the optimal regression model, we suggest an appropriate satisfaction model in PC communication service areas. That model shows that most users are interested in the fare for use. Use-fare factor is the most powerful one to the satisfaction model. Second one is usefulness, next is correctness. But connect-status factor is the only negative one. Most users think that its factor is in the way of fluent communication. So to keep the competitiveness in the PC communication service, the sixth negative factor should be modified as soon as possible.

• The Journal of Information Systems
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• v.6 no.2
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• pp.29-50
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• 1997

This paper addresses the issues of affecting factors to measure the satisfaction degree in PC communication utilizations. In order to develope an optimal model, we study appropriate affecting factors in PC communication utilizations through the focus group interviews with student users, and surveys the satisfaction levels that users have felt in services. Based on the optimal regression model, we suggest an appropriate satisfaction model in PC communication utilizations. That model shows that most users are interested in the A/S area for use. A/S factor is the most powerful one to the satisfaction model. Second one is usefulness, next is DB quality. But service-ability factor and convenience one are negative ones. Most users think that their factors are in the way of fluent communication. So to keep the competitiveness in the PC communication utilizations, the negative factors should be amended as soon as possible.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2011.11a
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• pp.151-152
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• 2011

As recent construction projects aim to build higher and bigger buildings, lifting operation is getting increasingly important in construction sites. Accordingly, as tower cranes get higher and higher, disasters involving tower cranes are also on the rise. According to occupational incident statistics of the Korea Occupational Health & Safety Agency (KOHSA), most of such incidents occur in installation, dismantling and climbing phases of tower crane. Therefore, it is essential to develop preventative measures to secure safety of tower crane operations, with critical focus on installation, dismantling and climbing of tower crane. Hence, this research attempts to measure criticality of key risk factors in installation, dismantling and climbing phases of tower crane on construction site and propose necessary safety measures. As a result, conclusions herein will contribute to minimize disasters and incidents involving tower cranes in high-rise building construction sites.