• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2022.11a
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• pp.298-299
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• 2022

Digital Transformation in the maritime transportation sector means "by utilizing digital technologies such as artificial intelligence, big data, Internet of Things, block chain, and cloud to create new business models, products, and services for maritime transportation-related companies. It can be defined as a continuous process that adapts to or drives disruptive changes in the market" (Chang, 2021). In a situation where various digital conversion technologies are applied and started to be used in the domestic port logistics field, active acceptance by members can bring about the success of digital conversion. Therefore, in this study, in order to investigate the acceptability of digital transformation in the domestic port logistics sector,

• Journal of Internet Computing and Services
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• v.14 no.2
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• pp.25-34
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• 2013

In this paper, we propose an activity-performer bipartite matrix generation algorithm for analyzing workflow-supported human-resource affiliations in a workflow model. The workflow-supported human-resource means that all performers of the organization managed by a workflow management system have to be affiliated with a certain set of activities in enacting the corresponding workflow model. We define an activity-performer affiliation network model that is a special type of social networks representing affiliation relationships between a group of performers and a group of activities in workflow models. The algorithm proposed in this paper generates a bipartite matrix from the activity-performer affiliation network model(APANM). Eventually, the generated activity-performer bipartite matrix can be used to analyze social network properties such as, centrality, density, and correlation, and to enable the organization to obtain the workflow-supported human-resource affiliations knowledge.

• The KIPS Transactions:PartD
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• v.16D no.4
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• pp.583-594
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• 2009

Most of the SOA solutions applicable to businesses and organizations are taking a top-down methodology. It starts with an analysis of an organization's requirements, followed by definition of business models and identification of candidate services and ends with finding or developing required services. Challenges in adopting SOA while abandoning legacy systems involve time and cost required during the process. Many businesses and organizations want to gradually migrate into SOA while making the most of the existing system. In this paper, we propose A Method for Migration of Legacy System into Web Service(M-LSWS); it allows legacy system to be migrated into web service accessible by SOA and be used as data repositories. M-LSWS defines procedures for migration into reusable web services through analysis of business processes and identification of candidate services based on design specification and code of legacy system. M-LSWS aims to migrate of legacy system into web service appropriate for SOA. The proposed method consists of four steps: analysis of legacy system, elicitation of reusable service and its specification, service wrapping and service registration. Each step has its own process and guideline. The eligibility of the proposed method will be tested by applying the method to book management system.

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

• Journal of Digital Contents Society
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• v.10 no.1
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• pp.147-157
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• 2009

Configuration and data management system to support processes for the weapon system should support the concurrent engineering and collaborative activities for various documents, drawings, part informations and structural informations, etc. which are produced through R&D processes for a long time. This thesis attempts to identify major functions in the configuration and data management system to support processes for the weapon system R&D into services based on a service oriented architecture. In order to identify major services in the configuration and data management system to support processes for the weapon system R&D, a configuration and data management system to support processes for the weapon system R&D was proposed with a service oriented architecture with four layers including a service consumer layer, a business service layer, an application service layer and a application layer, and major services were identified for each layer. In order to identify major services in four layers, this thesis adopted a bottom-up approach to identify the necessary business services from a well-defined domain implementation system rather than a top-down identification method in general. This thesis tried to identify the essential services in implementing the configuration and data management system to support processes for the weapon system R&D as a system based on the service oriented architecture using such a bottom-up service identification method while limiting those services to the general PDM system aspects and the business areas of the configuration and data management system to support processes for the weapon system R&D.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.1
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• pp.733-744
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• 2016

The legacy methods for converting a business model to a feature model make it difficult to support an automatic transformation due to a dependence on a domain analyzers' intuitions, which hinders the feature oriented development for the integration of feature modeling in business modeling. This paper proposes a method for converting a BPMN business model into a feature model based on syntax. To allow the conversion between the heterogeneous models from BPMN to the FM(Feature Model), it defines the grouping mechanism based activities' syntax, and then makes translation rules and a method based on the element (represent business function) and structure (relationships and process among elements), which are common constructs of their models. This method was applied to an online shopping mall system as a case study. With this mechanism, it will help develop a mechanical or automated structure transformation from the BPMN model to the FM.

• The KIPS Transactions:PartD
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• v.13D no.5 s.108
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• pp.749-754
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• 2006

Recently, many enterprises are introducing information systems for their competitive advantages. For enhancing the utilization level of enterprise information system, it is quite important to monitor the usage states of the information systems continuously. However, most enterprise information systems lack this functionality. Proposed in this paper is the framework of IAM (Information Activity Monitoring), which is defined as real-time reporting and alerting of significant information-related activities. This IAM framework provides 4 different views about the information system (data, IT system, business process, and participant) and is implemented as a part of integrated design/manufacturing information system developed by aerospace parts manufacturer. By using the IAM function, IT personnel can monitor significant information-related activities systematically and feedback to their users timely, and ultimately enhance the utilization level of information system.

• The KIPS Transactions:PartC
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• v.10C no.4
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• pp.423-432
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• 2003

It is essential suity management and standardized asset analysis for telecommunication networks, however existing risk analysis methods and tools are not enough to give shape of the method to evaluate value and asset. they only support asset classification schemes. Moreover, since the existing asset classification schemes are to evaluate comprehensive general risk, they are not appropriate for being applied telecommunication networks and they can´t offer any solutions to an evaluator´s subjectivity problem. In this paper, to solve these problems, we introduce the standardized definition of asset evaluation model new asset classification scheme, two-dimensional asset process classification scheme to consider business process and asset, various evaluation standards for quantitative value and qualitative evaluation. To settle an valuator´s subjectivity problem, we proposed $\beta$-distribution Delphi method.

• Journal of the Korea Society of Computer and Information
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• v.25 no.4
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• pp.149-156
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• 2020

In the Fourth Industrial Revolution, successful cases using big data in various industries are reported. This paper examines cases that successfully use big data in the medical industry to develop the service and draws implications in value that big data create. The related work introduces big data technology in the medical field and cases of eight innovative service in the big data service are explained. In the introduction, the overall structure of the study is mentioned by describing the background and direction of this study. In the literature study, we explain the definition and concept of big data, and the use of big data in the medical industry. Next, this study describes the several cases, such as technologies using national health information and personal genetic information for the study of diseases, personal health services using personal biometric information, use of medical data for efficiency of business processes, and medical big data for the development of new medicines. In the conclusion, we intend to provide direction for the academic and business implications of this study, as well as how the results of the study can help the domestic medical industry.

• Information Systems Review
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• v.14 no.2
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• pp.65-92
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• 2012

Smart work, which is defined as work performed at home, satellite offices or with the smart devices to continually collaborate with the co-workers in anytime, anywhere using IT, is attracting much attention as an alternative work way to cope with the demographical changes of the low fertility and aging. Whereas some implementation cases of smart work have been considered as the success, the other cases have been reported as the failure to implement smart work practices. Nevertheless, there are few researches to identify the reasons of successful ways to adopting smart work. This study integrated the IT-based changes with the smart work practices to identify the critical success factors of smart work in individual, organization and industry levels. As the results, we found out the expected values of introduction, core elements of implementation, and industry characteristics to efficient adoption for smart work. Also, this study compared these evidences with the incumbent smart work policies. The contributions of this study is to develop the guideline to adopting smart work, the smart work implementation strategy and the improvement on the business process.