• Journal of the Korea Academia-Industrial cooperation Society
• /
• v.21 no.11
• /
• pp.777-787
• /
• 2020

With the development of the Internet and the spread of mobile devices, the online market is growing rapidly. As the number of customers using online shopping malls explodes, research is being conducted on the analysis of usage behavior from customer data, personalized product recommendations, and service development. Thus, this paper seeks to analyze the overall process of online shopping malls through process mining, and to identify the factors that influence users' purchases. The data used are from a large online shopping mall, and R was the analysis tool. The results show that customer activity was most prominent in categories with event elements, such as unconventional discounts and monthly giveaway events. On the other hand, searches, logins, and campaign activity were found to be less relevant than their importance. Those are very important, because they can provide clues to a customer's information and needs. Therefore, it is necessary to refine the recommendations from related search words, and to manage activity, such as coupons provided when customers log in. In addition to the previous discussion, this paper proposes various business strategies to enhance the competitiveness of online shopping malls and to increase profits.

• Journal of the Korea Society of Computer and Information
• /
• v.13 no.7
• /
• pp.37-49
• /
• 2008

Services are reusable units in business level. Ubiquitous computing provides computing services anytime and anywhere. The combination of both is becoming an important paradigm of computing environment. Fundamentals of services require flexibility and interoperability, and key elements of ubiquitous modeling require interoperability and context-awareness. There are two kinds of methods to identify services. The top-down approach is based on business process, and the bottom-up approach is based on components. The first approach depends on experts' intuitions, while the second approach suffers the incapability of expressing non-functional expression through components. Although a feature-based approach is capable of expressing non-functional expression and identifying services in ubiquitous environment, the research on this issue is not adequately addressed by far. To promote this research, this paper proposes a feature-based method to identify services in ubiquitous computing. The method extracts initial-candidate-services from a feature model. Then, the ultimate services are identified through optimizing and analyzing the candidate-services. The proposed method is expected to enhance the service reusability by effectively analyzing ubiquitous domain based on feature, and varying reusable service units.

• Knowledge Management Research
• /
• v.22 no.2
• /
• pp.289-300
• /
• 2021

Proptech, which has applied information technology to the real estate market, is leading real estate transaction innovation by presenting various value creation models. This study categorizes and understands values that are created and shared in proptech-based businesses, and develops evaluation data that reflects the relative importance of individual value areas. To this end, the dimension of value creation of proptech was hierarchically constructed, and the degree of relative value creation of the sub-industries of the proptech industry was evaluated. In order to grasp the relative importance of the proposed indicators, AHP analysis was conducted for industry and academic experts. In the first stage, intangible values, relational values, and advanced values were presented. It was derived as weights between indicators through two-way comparison. This study aims to improve and develop the value-creation capability of the entire Korean proptech ecosystem in the future by evaluating the value-created competence of each sector of the proptech industry.

• Journal of the Korea Society of Computer and Information
• /
• v.11 no.1 s.39
• /
• pp.223-235
• /
• 2006

Textile industry of Korea has been assumed advanced textile industry nation's aspects with production system and equipment. But has been descended in the sector of design, brand, recognition comparing with Italy, Japan, England. And products of middle and low price do not have competitiveness against China, South East Asia. The world's textile industry nation has been confronted with Free Trade, and Regional Trade Blocks. New market has been opened with free Trade, but Trade Blocks(NAFTA, EU, APEC etc.) which encourage regional member country's profit maximize made textile export driven nation to consider strategies to cope with. Advanced textile industry nation divided the work among themselves and composed linking system among them which highly valuable products are manufactured at advanced nation and low price products are manufactured by global outsourcing. The purpose of this study is to analyze impact of process which requires to secure international competitiveness into business performance experimentally.

• Journal of Intelligence and Information Systems
• /
• v.27 no.1
• /
• pp.151-176
• /
• 2021

As the information technology industry develops, various kinds of data are being created, and it is now essential to process them and use them in the industry. Analyzing and utilizing various digital data collected online and offline is a necessary process to provide an appropriate experience for customers in the industry. In order to create new businesses, products, and services, it is essential to use customer data collected in various ways to deeply understand potential customers' needs and analyze behavior patterns to capture hidden signals of desire. However, it is true that research using data analysis and UX methodology, which should be conducted in parallel for effective service development, is being conducted separately and that there is a lack of examples of use in the industry. In thiswork, we construct a single process by applying data analysis methods and UX methodologies. This study is important in that it is highly likely to be used because it applies methodologies that are actively used in practice. We conducted a survey on the topic to identify and cluster the associations between factors to establish customer classification and target customers. The research methods are as follows. First, we first conduct a factor, regression analysis to determine the association between factors in the happiness data survey. Groups are grouped according to the survey results and identify the relationship between 34 questions of psychological stability, family life, relational satisfaction, health, economic satisfaction, work satisfaction, daily life satisfaction, and residential environment satisfaction. Second, we classify clusters based on factors affecting happiness and extract the optimal number of clusters. Based on the results, we cross-analyzed the characteristics of each cluster. Third, forservice definition, analysis was conducted by correlating with keywords related to happiness. We leverage keyword analysis of the thumb trend to derive ideas based on the interest and associations of the keyword. We also collected approximately 11,000 news articles based on the top three keywords that are highly related to happiness, then derived issues between keywords through text mining analysis in SAS, and utilized them in defining services after ideas were conceived. Fourth, based on the characteristics identified through data analysis, we selected segmentation and targetingappropriate for service discovery. To this end, the characteristics of the factors were grouped and selected into four groups, and the profile was drawn up and the main target customers were selected. Fifth, based on the characteristics of the main target customers, interviewers were selected and the In-depthinterviews were conducted to discover the causes of happiness, causes of unhappiness, and needs for services. Sixth, we derive customer behavior patterns based on segment results and detailed interviews, and specify the objectives associated with the characteristics. Seventh, a typical persona using qualitative surveys and a persona using data were produced to analyze each characteristic and pros and cons by comparing the two personas. Existing market segmentation classifies customers based on purchasing factors, and UX methodology measures users' behavior variables to establish criteria and redefine users' classification. Utilizing these segment classification methods, applying the process of producinguser classification and persona in UX methodology will be able to utilize them as more accurate customer classification schemes. The significance of this study is summarized in two ways: First, the idea of using data to create a variety of services was linked to the UX methodology used to plan IT services by applying it in the hot topic era. Second, we further enhance user classification by applying segment analysis methods that are not currently used well in UX methodologies. To provide a consistent experience in creating a single service, from large to small, it is necessary to define customers with common goals. To this end, it is necessary to derive persona and persuade various stakeholders. Under these circumstances, designing a consistent experience from beginning to end, through fast and concrete user descriptions, would be a very effective way to produce a successful service.

• Proceedings of the Korea Contents Association Conference
• /
• 2006.11a
• /
• pp.737-740
• /
• 2006

With the development of internet diffusion, digital contents industries has been growing with various forms such as game, animation, e-learning etc.. Considering that digital contents industry is the part of national growth engine, it is very important to make decision over technology development direction based on commercialization premises. This paper tries to give practical help over industries and academia through details industry analysis and assessment. The part of assessment tools which was originated from Standford Research Institute has been applied to compare and analyze the details industries.

• 한국경영정보학회:학술대회논문집
• /
• 2008.06a
• /
• pp.816-826
• /
• 2008

IT 거버넌스(Governance)는 IT 관련 의사결정에 있어서 기업 내부 주체들의 권한과 책임, 의사결정 조직체계와 프로세스, 의사소통 방법, 의사결정 실현 체계, 조정과 통제, 그리고 의사결정에 대한 사후 평가 등을 통틀어 일컫는 말이다. IT가 기업 경영의 필수 인프라로 인식되고, 기업의 경쟁력 제고의 핵심 역량으로 자리잡으면서 IT 거버넌스의 중요성은 점차커지고 있다. 본 연구에서는 국내 주요 대기업들의 IT 거버넌스를 분석하였다. 4개의 국내 대기업들에 대한 심층 인터뷰를 바탕으로, 이들 기업들이 어떤 조직 체계와 과정, 의사소통 체계, 그리고 성과 측정 방법 등을 가지고 IT 관련 의사결정을 하는지를 살펴보았다. 국내 대기업들은 IT 서비스를 전문적으로 제공하는 IT 서비스 계열사를 이용하여 IT 기능을 아웃소싱하고 있었으며, IT 관련 최종 의사결정은 IT 전문 조직이 아닌 비즈니스를 담당하고 있는 경영자들이 하는 것으로 나타났다. 국내 대기업들의 IT 서비스에 대한 계약과 성과 측정은 서비스 수준 협약을 통해 이루어지고 있었으며, 국제적으로 인정되고 있는 프로젝트 관리 방법론과 균형성과 기록표 등도 널리 사용하고 있었다. 이러한 연구는 국내 대기업 내의 IT 서비스 전문 기업들의 미래 역할 정립과 정부 기관이나 공기업들의 IT 거버넌스 체계 확립에 있어서 벤치마킹 근거로 활용될 수 있다. 또한 국내 대기업들의 IT 거버넌스 체계의 효율성 등을 측정하기 위한 기초 자료로 이용될 수 있다.

• Journal of Advanced Navigation Technology
• /
• v.14 no.1
• /
• pp.127-133
• /
• 2010

The process for establishment of Operational Continuity Management Plan is organized repeatedly of Business Risk Assessment, Crisis Analysis, Business Impact Analysis, Establishing Business Recovery Strategies, Detailed Planning, Plan Execution, Test and Maintenance(Including Monitoring). Therefore, in this paper in response to global environmental change and the construction and operation of social security systems to maximize operational continuity management, crisis management and crisis management systems, building integrated systems for building technology in general and operational continuity management within an organization to understand developed to provide a framework for implementing operational continuity management in terms of crisis management has proposed to build an integrated system.

• Asia-Pacific Journal of Business Venturing and Entrepreneurship
• /
• v.11 no.6
• /
• pp.27-37
• /
• 2016

Startup teams should be prompt to seize an business opportunity and handle various business problems with which they has not been faced before. This research examines and compares the hypotheses about the processes of communication media usage, knowledge sharing and team agility by the level of task conflict. In order for detailed investigation, each of antecedent was divided into sub-dimensions: communication media usage into synchronous and asynchronous media usage, and knowledge sharing into speed and quantity of knowledge sharing. Team agility, the dependent variable, was proposed as an important success factor of startup teams. The research model describes that the communication media usage affects knowledge sharing and consequently team agility. The differences of media usage and relationships among variables were proposed as the level of task conflict in teams. 230 data points were collected from startup teams under 5 years and statistically processed to test research model and hypotheses. From the total sample analysis, the results indicate that the knowledge sharing speed is positively associated with the quantity, and the knowledge sharing speed and quantity have positive associations with team agility. Both synchronous and asynchronous communication media usage also has significant positive associations with knowledge sharing speed. On the other hand, media usage did not show significant direct association with knowledge sharing quantity. From the group comparisons of task conflict, it was found that the higher task conflict, the higher in media usage, knowledge sharing speed and quantity, and team agility. The process of media usage, knowledge sharing, and team agility were found to be different between the high and low task conflict. From these results, the authors discussed and proposed some implications for startup team leaders.

• The KIPS Transactions:PartC
• /
• v.13C no.7 s.110
• /
• pp.851-858
• /
• 2006

The risk analysis's aim is analyze the risk for the asset of organization with asset assessment, vulnerability assessment, threat assessment. existing TTA risk analysis methodology model propose to overall flow, but can not propose to detail behavior or each level. That is, step of risk analysis is insufficient in classification of threat and detail proposal of considered the risk with classified threat. So this paper propose that analysis and evaluate the vulnerability and threat assessment with determinated quantity. this paper consider current national information system and threat of environment and technology. So can estimate the risk with determinated quantity. Finally, analyze the asset risk of organization.