슬릿 패턴에 의해 유도된 다중슬릿 수소-공기 화염의 횡 방향 모드 불안정

박도형(Dohyung Park),김규태(Kyu Tae Kim) 한국연소학회 2022 KOSCOSYMPOSIUM논문집 Vol.2022 No.5

조절일치가 소비자 제품 태도에 미치는 영향

박도형(Do-Hyung Park),정재권(Jaekwon Chung) 국제e-비즈니스학회 2014 e-비즈니스 연구 Vol.15 No.4

온라인 커뮤니티 이용자의 잠복 관찰(Lurking) 행위 의도에 관한 연구

박도형(Park, Do-Hyung) 경희사이버대학교 미래고등교육연구소 2012 사이버사회문화 Vol.3 No.2

기존 연구의 대부분은 온라인 커뮤니티의 이용 의도에 관한 연구인데, 대부분의 연구는 이용 의도를 커뮤니티 사용 의도로 접근하였다. 하지만 커뮤니티에 참여하여 글을 쓰고 구성원간의 상호작용 없이, 단순히 커뮤니티를 방문하고, 다른 사람들의 글만 보고 정보를 얻어가는 행위(Lurking)는 온라인 커뮤니티의 발전을 저해할 수 있다. 이에 본 연구는 Preece, Nonnecke와 Andrews(2004)의 탐색적 연구를 바탕으로 온라인 커뮤니티에서 사람들이 잠복 관찰(Lurking) 하려는 행위 의도를 갖는 이유에 대해 알아보고자 한다. 기존의 온라인 커뮤니티 연구와 온라인 환경에서의 이용자 행위를 바라본 연구들을 기초로 온라인 커뮤니티의 구성원들의 행위에 영향을 줄 수 있는 요인들을 확인하고, 각 요인들이 온라인 커뮤니티내 글을 쓰는 의도와 글을 읽는 의도에 어떤 영향을 미치는지 분석하였다. 이를 통해 잠복관찰자(Lurker)들이 잠복 관찰(Lurking) 행위를 전략적으로 하려는 욕구에는 무엇이 있으며, 이런 욕구의 해결을 잠복 관찰(Lurking)이 아닌 다른 방향을 통해 해결할 수 있는 전략적 대안을 제시하였다. Online communities is getting more popular with the development of information technology. It is essential that community members participate actively and share their contents or opinions continuously for the success and growth of online communities. However, it is revealed that most of members just take the role of passive observer. They are lurking community information and contents without any contribution. In this sense, this study focuses on explore lurking behavior of online community members. Based on technology acceptance model, this study investigates the effect of two distinctive motivations(intrinsic and extrinsic motivation) on the intention for posting and reading. Finally, this study proposes several strategies to enhance information and contents sharing in online communities.

여행자 관심 기반 스마트 여행 수요 예측 모형 개발: 웹검색 트래픽 정보를 중심으로

박도형 ( Park Do-hyung ) 한국정보시스템학회 2017 情報시스템硏究 Vol.26 No.3

Purpose Recently, there has been an increase in attempts to analyze social phenomena, consumption trends, and consumption behavior through a vast amount of customer data such as web search traffic information and social buzz information in various fields such as flu prediction and real estate price prediction. Internet portal service providers such as google and naver are disclosing web search traffic information of online users as services such as google trends and naver trends. Academic and industry are paying attention to research on information search behavior and utilization of online users based on the web search traffic information. Although there are many studies predicting social phenomena, consumption trends, political polls, etc. based on web search traffic information, it is hard to find the research to explain and predict tourism demand and establish tourism policy using it. In this study, we try to use web search traffic information to explain the tourism demand for major cities in Gangwon-do, the representative tourist area in Korea, and to develop a nowcasting model for the demand. Design/methodology/approach In the first step, the literature review on travel demand and web search traffic was conducted in parallel in two directions. In the second stage, we conducted a qualitative research to confirm the information retrieval behavior of the traveler. In the next step, we extracted the representative tourist cities of Gangwon-do and confirmed which keywords were used for the search. In the fourth step, we collected tourist demand data to be used as a dependent variable and collected web search traffic information of each keyword to be used as an independent variable. In the fifth step, we set up a time series benchmark model, and added the web search traffic information to this model to confirm whether the prediction model improved. In the last stage, we analyze the prediction models that are finally selected as optimal and confirm whether the influence of the keywords on the prediction of travel demand. Findings This study has developed a tourism demand forecasting model of Gangwon-do, a representative tourist destination in Korea, by expanding and applying web search traffic information to tourism demand forecasting. We compared the existing time series model with the benchmarking model and confirmed the superiority of the proposed model. In addition, this study also confirms that web search traffic information has a positive correlation with travel demand and precedes it by one or two months, thereby asserting its suitability as a prediction model. Furthermore, by deriving search keywords that have a significant effect on tourism demand forecast for each city, representative characteristics of each region can be selected.

딥러닝 기반 영상 정합 기술의 연구 동향

송대영(Dae-Young Song),이희경(Heekyung Lee),엄기문(Gi-Mun Um),서정일(Jeongil Seo),조동현(Donghyeon Cho) 대한전자공학회 2021 대한전자공학회 학술대회 Vol.2021 No.11

지능형 시뮬레이션 모형을 기반으로 한 정보기술 투자 성과 요인 및 전략 도출에 관한 연구

박도형(Do-Hyung Park) 한국지능정보시스템학회 2013 지능정보연구 Vol.19 No.1

Information technology is a critical resource necessary for any company hoping to support and realize its strategic goals, which contribute to growth promotion and sustainable development. The selection of information technology and its strategic use are imperative for the enhanced performance of every aspect of company management, leading a wide range of companies to have invested continuously in information technology. Despite researchers managers, and policy makers’ keen interest in how information technology contributes to organizational performance, there is uncertainty and debate about the result of information technology investment. In other words, researchers and managers cannot easily identify the independent factors that can impact the investment performance of information technology. This is mainly owing to the fact that many factors, ranging from the internal components of a company, strategies, and external customers, are interconnected with the investment performance of information technology. Using an agent-based simulation technique, this research extracts factors expected to affect investment performance on information technology, simplifies the analyses of their relationship with economic modeling, and examines the performance dependent on changes in the factors. In terms of economic modeling, I expand the model that highlights the way in which product quality moderates the relationship between information technology investments and economic performance (Thatcher and Pingry, 2004) by considering the cost of information technology investment and the demand creation resulting from product quality enhancement. For quality-enhancement and its consequences for demand creation, I apply the concept of information quality and decision-maker quality (Raghunathan, 1999). This concept implies that the investment on information technology improves the quality of information, which, in turn, improves decision quality and performance, thus enhancing the level of product or service quality. Additionally, I consider the effect of word of mouth among consumers, which creates new demand for a product or service through the information diffusion effect. This demand creation is analyzed with an agent-based simulation model that is widely used for network analyses. Results show that the investment on information technology enhances the quality of a company’s product or service, which indirectly affects the economic performance of that company, particularly with regard to factors such as consumer surplus, company profit, and company productivity. Specifically, when a company makes its initial investment in information technology, the resultant increase in the quality of a company’s product or service immediately has a positive effect on consumer surplus, but the investment cost has a negative effect on company productivity and profit. As time goes by, the enhancement of the quality of that company’s product or service creates new consumer demand through the information diffusion effect. Finally, the new demand positively affect the company’s profit and productivity. In terms of the investment strategy for information technology, this study’s results also reveal that the selection of information technology needs to be based on analysis of service and the network effect of customers, and demonstrate that information technology implementation should fit into the company’s business strategy. Specifically, if a company seeks the short-term enhancement of company performance, it needs to have a one-shot strategy(making a large investment at one time). On the other hand, if a company seeks a long-term sustainable profit structure, it needs to have a split strategy(making several small investment at different times). The findings from this study make several contributions to the literature. In terms of methodology, the study integrates both economic modeling and simulation technique in order to overcome the limitations of each methodology

고객 관점의 UX 품질 평가 및 제품개선 방향 도출 프로세스: 휴대폰 카메라 경험을 중심으로

박도형 ( Do Hyung Park ) (주)엘지씨엔에스(구 LGCNS 엔트루정보기술연구소) 2013 Entrue Journal of Information Technology Vol.12 No.1

기업에 있어 고객 기반의 UX 품질 관리는 고객 중심의 제품 개발 및 고객의 지속적인 사용과 만족을 위해 중요하다. 기업은 고객에게 우수한 품질을 제공하기 위해, 고객의 잠재니즈를 발굴하고 기대수준을 도출하여 품질의 기준 강화와 성능의 향상을 위해 노력하고 있다. 본 연구에서는 국내 전자회사 A의 휴대폰 사례를 통해 고객이 제품을 사용하면서 지각하고 인지하는 제품에 대한 품질 평가인 고객 관점의 UX 품질 평가의 프로세스를 제시하였다. 제품의 사용 주체인 고객의 목소리로 시작하여, 기술 속성 간 매핑을 통해 고객 가치 요인을 도출한 후, 고객이 실제 제품을 사용하는 환경에서 고객 가치 요인에 따른 제품 평가를 수행한다. 고객 평가 값에 대한 요인 분석과 회귀 분석을 통하여 각 고객 가치 요인의 고객 만족도에의 영향력 비중을 산출하고, 이 결과를 전략 매트릭스 상에 포지셔닝 하여 사분면별로 차별화된 전략을 제시하였다. 이와 같이 기업이 고객의 지각된 UX 품질을 정확히 이해하여 품질 영역별로 최적화된 전략을 적용한다면, 고객이 가장 원하는 부문의 품질을 먼저 개선할 수 있고, 고객 만족을 극대화할 수뿐만 아니라, 중요 품질 요소에 대한 집중 투자를 할 수 있어 기술개발 투자의 효율성을 향상시킬 것으로 기대된다. Consumer-based UX quality management is important for companies as it enables them to develop products fit to their consumer needs, to encourage continuous use of their products and to manage consumer satisfaction. In order to provide products with higher quality, companies identify consumer needs and expectations for their products and strive to improve quality control for better products. This study suggests the process of UX quality evaluation based on consumer needs and ap-plies it to a case study focusing on mobile phone camera experience in Company A, one of the Korean electronics companies. It identifies consumer value factors from voice of consumer and then performs consumer product test in an environment si-mulating consumers` real experience of a product and contents. Based on the obtained consumer evaluation, it conducts factor analysis and regression analysis to derive impact of each consumer value factor on consumer satisfaction. By positioning the results on a strategy map, it suggested differentiated strategies. For a practical use, companies can analyze their consumers` perceived UX quality and apply differentiated strategies for each product. Given the successful implementation, they can pri-oritize the quality improvement on a product based on consumer needs, maximize consumer satisfaction and increase the effi-ciency of their investment on technologies by focusing on critical quality attributes.

스포츠 관광상품 이용자 라이프스타일과 구매만족 결정요인에 관한 연구

박도형(Do Hyoung Park) 제주학회 2007 濟州島硏究 Vol.30 No.-

우리나라는 1988년 올림픽과 2002년 한·일 월드컵 축구대회를 계기로 스포츠를 즐기는 방법이 보편화 되었다. 또한 정부는 2000년부터 주 5일 근무제 추진을 결정하고, 정부가 중심이 되어 2003년 8월 29일 관련 법안을 국회에서 통과됨으로써 기업의 규모와 업종에 따라 2004년 7월부터 2011년까지 단계적으로 주 5일 근무제의 확대시행과 정착이라는 과제를 남겼다. 향후 주 5일 근무제는 경제 및 산업구조, 노동시장, 국민여가문화 등 다양한 부문에서 변화를 가져올 것이고, 특히 스포츠관광을 포함한 여가문화에 상당한 영향을 미칠 것으로 전망 된다. 인간은 약 3분에 1을 잠자는 시간에 소모한다. 이것은 사람마다 다수의 차이는 있겠지만 인간이라면 거역할 수 없는 시간들이다. 즉 이 시간은 인간의 자유 의지와는 상관없는 생리적 필수시간이다. 나머지 3분의 2의 시간은 먹고 살기 위해 노동을 해야 하고, 노동을 하고나면 쌓인 피로를 풀어주기 위해 휴식을 취해야 한다. 나머지 시간에 여유가 생기면 즐겁게 놀기도 하고 사회생활을 하면서 살아가는데 보통 사람들이 삶의 모습에서 우리는 다음과 같은 점을 한번 짚고 넘어갈 필요가 있다. 인간은 태어나서 죽을 때까지 얼마나 자유롭게 주체적으로 자기 자신의 삶을 영위해 나아갈 수가 하는 점이다. 21세기는 관광. 레포츠부문에서 괄목한 성장을 하게 될 것이다. 소득향상은 당연히 양질의 삶을 추구하는 욕구로 이어져 관광. 레포츠 인구의 증가와 함께 이와 관련된 산업이 크게 늘어날 전망이다. 특히 골프, 스키. 승마, 요트 등은 고급형로 각광을 받게 될 것이다. 또한 노인인구의 증가로 노인을 위한 레저시설과 휴양촌이 등장하고 청소년과 여성들을 위한 각종 레포츠가 역시 활기를 띨 것으로 예상된다. 본 연구는 스포츠소비자가 상품을 구매하는데 있어 의도와 활동유형을 파악하고, 라이프스타일과 구매만족과의 영향요인을 파악하는 것을 연구의 목적으로 삼고 있다. 첫째, 스포츠이용자의 라이프스타일 특성은 무엇인가? 둘째, 스포츠이용자의 스포츠 관광상품 구매만족요인은 무엇인가? 셋째, 스포츠이용자의 라이프스타일은 스포츠 관광상품 구매만족 요인에 어떠한 영향을 미치는가? With the 1988 Seoul Olympics and 2002 Korea-Japan World Cup series as the momentum, ways of enjoying sports have been greatly popularized in Korea. In August 29, 2003 Korean government has passed a law in congress that allows companies, depending on their size and occupation, to gradually incorporate the 5day workweek system, starting from July 2004 to 2011. The system is expected to bring great changes to both economic and industrial structures, labor market, general leisure culture, and urban development for all Koreans in the future, especially on how they spend their leisure time including sports tourism. This system is part of government policy to meet the needs of Korean people to have richer life and spend their leisure hours more fully, which have been greatly increased by improved income, shorter working hours, and the spread of nuclear families. In this present new millennium, tourismand leisure sports is expected to gain evermore momentum. Increase of personal income will naturally lead to a need for better life, which will eventually result in development of tourism and leisure sports population and related industries. Among those, those leisure sports that have been considered high-class, such as golf, ski, horse riding, and yacht sailing are expected to become more and more popularized. Moreover, increase of old aged population will inspire development of facilities and resort villages specifically targeted at this generation. Leisure sports for teenagers and women are also likely to grow in the future. In addition, the development of office automation is likely to result in greater pollution and lack of exercise, which can cause increase of all sorts of health hazards like adult diseases and cardiovascular disease. Therefore a need for exercise facilities that allow you to run, lift, roll, and throw , in order to live a healthier life is growing evermore. Marketing is often defined as the process of developing ideas, commodities, and services to create exchange that meets personal and corporate needs. It is also the process of deciding upon the market price of a commodity, planning and carrying out its promotion and circulation. An individual or a corporate system needs ideas, properties, and services to achieve a goal, in exchange of which he must pay what he owns. In this sense, service marketing in sports tourism market must develop and manage a better marketing mix than that of other place in order to create relatively superior exchange. This study investigates into the intention and action types of customers in purchasing the sports travel products, and aims to understand the inter-relationship between the lifestyle of customers and the determinants of purchase satisfaction, The purpose of this study are as follows; 1, what are the behavior characteristics of a sports-goods user? 2, what is the lifestyle purchase type of a sports-goods user? 3, what are the determinants of purchase satisfaction of a sports-goods user?

다중슬릿 수소-공기 화염의 횡 방향 회전 모드 연소불안정 계측

박도형(Dohyung Park),이태송(Taesong Lee),이태송(Taesong Lee),김규태(Kyu Tae Kim) 한국연소학회 2021 KOSCOSYMPOSIUM논문집 Vol.2021 No.11

자기조직화 지도를 활용한 성장모형 기반의 시장 성장패턴 지도 구축

박도형(Do-Hyung Park),정재권(Jaekwon Chung),정여진(Yeo Jin Chung),이동원(Dongwon Lee) 한국지능정보시스템학회 2014 지능정보연구 Vol.20 No.4

Market forecasting aims to estimate the sales volume of a product or service that is sold to consumers for a specific selling period. From the perspective of the enterprise, accurate market forecasting assists in determining the timing of new product introduction, product design, and establishing production plans and marketing strategies that enable a more efficient decision-making process. Moreover, accurate market forecasting enables governments to efficiently establish a national budget organization. This study aims to generate a market growth curve for ICT (information and communication technology) goods using past time series data; categorize products showing similar growth patterns; understand markets in the industry; and forecast the future outlook of such products. This study suggests the useful and meaningful process (or methodology) to identify the market growth pattern with quantitative growth model and data mining algorithm. The study employs the following methodology. At the first stage, past time series data are collected based on the target products or services of categorized industry. The data, such as the volume of sales and domestic consumption for a specific product or service, are collected from the relevant government ministry, the National Statistical Office, and other relevant government organizations. For collected data that may not be analyzed due to the lack of past data and the alteration of code names, data pre-processing work should be performed. At the second stage of this process, an optimal model for market forecasting should be selected. This model can be varied on the basis of the characteristics of each categorized industry. As this study is focused on the ICT industry, which has more frequent new technology appearances resulting in changes of the market structure, Logistic model, Gompertz model, and Bass model are selected. A hybrid model that combines different models can also be considered. The hybrid model considered for use in this study analyzes the size of the market potential through the Logistic and Gompertz models, and then the figures are used for the Bass model. The third stage of this process is to evaluate which model most accurately explains the data. In order to do this, the parameter should be estimated on the basis of the collected past time series data to generate the models’ predictive value and calculate the root-mean squared error (RMSE). The model that shows the lowest average RMSE value for every product type is considered as the best model. At the fourth stage of this process, based on the estimated parameter value generated by the best model, a market growth pattern map is constructed with self-organizing map algorithm. A self-organizing map is learning with market pattern parameters for all products or services as input data, and the products or services are organized into an N X N map. The number of clusters increase from 2 to M, depending on the characteristics of the nodes on the map. The clusters are divided into zones, and the clusters with the ability to provide the most meaningful explanation are selected. Based on the final selection of clusters, the boundaries between the nodes are selected and, ultimately, the market growth pattern map is completed. The last step is to determine the final characteristics of the clusters as well as the market growth curve. The average of the market growth pattern parameters in the clusters is taken to be a representative figure. Using this figure, a growth curve is drawn for each cluster, and their characteristics are analyzed. Also, taking into consideration the product types in each cluster, their characteristics can be qualitatively generated. We expect that the process and system that this paper suggests can be used as a tool for forecasting demand in the ICT and other industries.