• IE interfaces
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• v.16 no.3
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• pp.362-374
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• 2003

The major objective of this paper is to empirically examine the effect of process maturity on the performance of industrial R&D projects. Process maturity, a fundamental concept of the Capability Maturity Model developed by Software Engineering Institute, represents the essential of Total Quality Management (TQM). Based on literature, our research model constructs process maturity in terms of structured process, goal setting and controlling, metrics, and process learning; and links it to the R&D performance that consists of technical, commercial and managerial successes. The model also includes firm size as a moderator of different effects that process maturity may have across firms. Measures for process maturity are based on the best practices identified in literature. Data are obtained from 77 successful R&D projects carried out by Korean manufacturing firms. Multiple regression and t-test are used to test proposed hypotheses. Findings are as follows. (1) In the R&D process, process maturity partially contributes to the performance of R&D projects. More specifically, goal setting and controlling-related practices drive both technical and commercial successes, while process learning-related practices drive commercial success. In contrast, traditionally emphasized elements such as structured process or metrics are found not to be significant. (2) The degree of process maturity is significantly higher in large firms. (3) Process maturity impacts on commercial success in the case of large firms, whereas it does on technical success in the case of small firms. The results imply that the TQM principles are partially associated with R&D performance, and the nature of benefit from high maturity could vary according to firm size.

• The Journal of the Korea Contents Association
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• v.13 no.2
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• pp.62-70
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• 2013

This study proposes smart-phone game applications success model based on mobile internet success model and investigates the effects of cultural propensities especially, uncertainty avoidance and power distance at the individual level. To achieve our research purposes, the study conducted survey in Korea and a total of 221 people participated in the survey. We classified user types by cultural difference as a moderating variable. User's cultural propensity classified two groups: high uncertainty avoidance and high power distance, low uncertainty avoidance and low power distance. This study results reveal that the impact of quality factors on user satisfaction have difference according to cultural propensities.

• Journal of the Korean Society of Systems Engineering
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• v.16 no.2
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• pp.27-37
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• 2020

The Fukushima Daiichi accident in 2011 revealed some vulnerabilities of existing Nuclear Power Plants (NPPs) under extended Station Blackout (SBO) accident conditions. One of the key Severe Accident Management (SAM) strategies developed post Fukushima accident is the In-Vessel Retention (IVR) Strategy which aims to retain the structural integrity of the Reactor Pressure Vessel (RPV). RELAP/SCDAPSIM/MOD3.4 is selected to predict the thermal-hydraulic response of APR1400 undergoing an extended SBO. To assess the effectiveness of the IVR strategy, it is essential to quantify the underlying uncertainties. In this work, both the epistemic and aleatory uncertainties are considered to identify the success window of the IVR strategy. A set of in-vessel relevant phenomena were identified based on Phenomena Identification and Ranking Tables (PIRT) developed for severe accidents and propagated through the thermal-hydraulic model using Wilk's sampling method. For this work, a Systems Engineering (SE) approach is applied to facilitate the development process of assessing the reliability and robustness of the APR1400 IVR strategy. Specifically, the Kossiakoff SE method is used to identify the requirements, functions and physical architecture, and to develop a design verification and validation plan. Using the SE approach provides a systematic tool to successfully achieve the research goal by linking each requirement to a verification or validation test with predefined success criteria at each stage of the model development. The developed model identified the conditions necessary for successful implementation of the IVR strategy which maintains the vessel integrity and prevents a melt-through.

• Journal of Platform Technology
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• v.11 no.3
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• pp.45-55
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• 2023

This paper presents a model that supports decision-makers in the Korean film industry to maximize the success of online movies. To achieve this, we collected historical box office movies and clustered them into types to propose a model predicting each type's online box office performance. We considered various features to identify factors contributing to movie success and reduced feature dimensionality for computational efficiency. We systematically classified the movies into types and predicted each type's online box office performance while analyzing the contributing factors. We used automated machine learning (AutoML) techniques to automatically propose and select machine learning algorithms optimized for the problem, allowing for easy experimentation and selection of multiple algorithms. This approach is expected to provide a foundation for informed decision-making and contribute to better performance in the film industry.

• Journal of Korea Entertainment Industry Association
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• v.13 no.8
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• pp.77-91
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• 2019

As of 2019, a report by the Ministry of Culture, Sports and Tourism showed that 884 diverse regional festivals are being held in the country. While there are successful festivals with large audience numbers and local economic effects, there are many festivals that only waste local budgets. Against this backdrop, the question of this study is "What are the key competences of a successful dance festival utilizing the VRIO model?" The development process and success factors of the success dance festival at home and abroad were analyzed in order to explore the key competences and specialization measures of the festival that our dance festival can take off as a successful dance festival. The purpose of the study is to examine what is the source of competitiveness of the regional festival through VRIO model, which can identify the key competencies of the festival to grow into a successful dance festival, and to derive the key competencies of the festival through the interview of the expert group(Focus Group Interview) to apply the development measures of our country's dance festival. According to the analysis, festival experts view the success factors of local festivals from various perspectives based on their empirical knowledge. The key competencies priority was 1. Theme, 2. the festival organization and professional personnel management, 3. The results came in the order of residents' participation. And the successful domestic and foreign dance festivals had their own core competencies. Growing up as a successful festival through festival management, which is worth no other festival, difficult to emulate, rare and difficult to replace, is seen as the biggest key to leading the regional festival to the world festival.

• Information Systems Review
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• v.18 no.1
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• pp.177-197
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• 2016

Information technology (IT) outsourcing is considered an effective strategy to manage and maintain organizational technologies in a rapidly changing business environment. In particular, to meet diverse market needs, many organizations that outsource their IT functions practice a multi-vendor approach as their main outsourcing strategy. Although a few studies have been conducted about the multi-vendor approach, most previous works primarily emphasized conceptual arguments and normative prescriptions. In addition, scant attention has been directed toward the relational structure between the client and multiple vendors in the multi-vendor approach and its implications for outsourcing success. This study proposes a model from the transaction cost perspective by conceptualizing two dominant relational structures of the multi-vendor approach, namely, single-vendor dominant model and the multi-vendor dominant model, and hypothesizing their relationships with two outsourcing outcomes, project success and user satisfaction. The proposed model is examined using the data collected from 246 companies that have implemented multi-vendor outsourcing. As expected, results indicate that the single-vendor dominant model has a more significant impact on project success, whereas the multi-vendor dominant model has a more significant impact on user satisfaction. The study concludes with the theoretical implications and directions for future research.

• Journal of Information Technology Services
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• v.17 no.1
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• pp.1-16
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• 2018

In this research, we tried to suggest the guidelines to stakeholder of ICT startup for picking up the excellent startups and nurturing them. We designed the research model focused on the good startup team's knowledge based interaction mechanism. A research model and hypotheses were developed from literature review and empirically validated. The research model consisted relationship among the knowledge sharing (knowledge donation and knowledge collection), absorptive capacity (member's ability and member's motivation), team creativity, and innovation capability. Data were collected from ICT Service Startups, and a partial least squares (PLS) analysis was made on 175 data points. The analysis results showed that absorptive capacity has significant effect on team creativity and innovation capability directly. And also it has indirect effect on the dependent variable through team creativity. On the contrary, knowledge sharing does not have statistically significant effect on team creativity and innovation capability; only have an effect on absorptive capacity. Based on the results, we proposed several team management skills for ICT startup leaders and members, and the guidelines to stakeholder such as government and private investors. Also there are some ideas for startup nurturing polices for government officers. Theoretical contributions are discussed at the end with limitations and further studies.

• Research in Community and Public Health Nursing
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• v.20 no.4
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• pp.433-442
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• 2009

Purpose: The purpose of this study was to identify factors affecting on the successful cessation of smoking for six months in the smoking cessation clinic of a public health center. Methods: The subjects of this study were 568 adult smokers who had registered in the smoking cessation clinic of a public health center in B City. Data were analyzed through $x^2$-test, t-test, and logistic regression using the SPSS/WIN 12.0 program. Results: Identified factors affecting the successful cessation of smoking for six months were service type, number of counseling, alcohol problem, previous quit-smoking trial, dependency on nicotine, CO level in expiration at the first visit time, self-reevaluation, helping relationship, negative/affective situational temptation, and Cons. Conclusion: Trans-theoretical Model variables were confirmed as factors affecting the success of smoking cessation. Based on the results of this study, a smoking cessation program was suggested, which uses Trans-theoretical Model variables affecting smoking cessation for six months in a public health center.

• The Journal of Information Systems
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• v.18 no.1
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• pp.117-144
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• 2009

Government uses the Internet technology to create electronic Government(e-Government). E-Government is an on-going project, and it represents a strong intention of Korean government to make effective and smooth communication between Korean government and its people. To achieve this purpose, government portal sites is one of projects of e-government, being a common gateway for users to find information and to communicate with the government concerning many matters/any matter. However, user's attitudes and behaviors explaining why they intend to use government portal sites is a scant. Therefore, the main purpose of this study is to investigate empirically the determinants influencing users' intention to use government portal-sites. Starting with DeLone & McLean's Updated Information Success Model(2003), this study suggests three qualities(Information Quality, Systems Quality, and Service Quality) and two moderating effects(Ambiguity and Government Supports), which affect the perceived usefulness of government portal sites. Results show that the hypotheses were supported. The findings of the study suggest not only a new theoretical model for IS research, but also the important indicators of a successful usage of e-Government portal sites.

• The Korean Journal of Applied Statistics
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• v.21 no.3
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• pp.455-468
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• 2008

Based on the huge baseball game records, the steal plays an important role to affect the result of games. For the research about success or failure of the steal in baseball games, logistic regression models are developed based on 2007 Korean professional baseball games. The analyses of logistic regression models are compared of those of the discriminant models. It is found that the performance of the logistic regression analysis is more efficient than that of the discriminant analysis. Also, we consider an alternative logistic regression model based on categorical data which are transformed from uneasy obtainable continuous data.