• The Journal of the Institute of Internet, Broadcasting and Communication
• /
• v.24 no.2
• /
• pp.167-175
• /
• 2024

Due to the Fourth Industrial Revolution, ICT(Information and Communication Technology) industry is becoming more important and sophisticated than ever. In B2B based ICT industry demand forecasting by analyzing the previous customer data is so important. RFM, one of customer relationship management models is a marketing technique that evaluates Recency, Frequency and Monetary value to predict customers behavior. RFM model has been studied focusing on the B2C based industry. On the other hand there is a lack of research on B2B based technology industry. Therefore this study applied it to B2B based high technology industry and considered T(technology collaboration) value, which are identified as important factors in the technology industry. To present an improved model for market performance in B2B technology industry, an empirical study was conducted on comparing the accuracy of the traditional RFM model and the improved RFM-T model. The objective of this study is to contribute to market performance by presenting an improved model in B2B based high technology industry.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.28 no.6
• /
• pp.1563-1583
• /
• 2018

With the deregulation of electronic finance, FinTech has been revitalized. The discussion on artificial intelligence is active in the financial industry. However, there is a problem of increasing security threats behind new technologies. Security vulnerabilities have increased because we are more connected than before, and the channels and entities of the financial industry have diversified. Although there are technical and policy discussions on security, the essence of all discussions is human. Fundamentals of finance are trust and security, and attention to human factors is important. This study presents the role of human and artificial intelligence for financial security, respectively. Furthermore, this derives a collaborative model in which human and artificial intelligence complement each other's limitations. To support this, it first discusses the development of finance and IT, AI, human factors, and financial security threats. This study suggests that the security threats will intensify in the era of new technology, but it can overcome them by using machinery and technology.

• Journal of Digital Convergence
• /
• v.17 no.12
• /
• pp.77-82
• /
• 2019

In this paper, we propose a new industry - university collaboration plan through the analysis of the present state of industry-academia cooperation and government support projects, and analysis of major overseas cases. The following is the plan for activating the new crop cooperation. First, it is necessary to strengthen the innovation of education system and establishment of new education course based on future demand through future-oriented industry-university cooperation. Second, active industry-academia cooperation should stimulate entrepreneurship education and entrepreneurship based on university resources. Third, it should act as an anchor of regional innovation by actively cooperating with local innovation entities. It is necessary to develop an industry-university cooperation model that can generate profits and contribute to university finance.

• IE interfaces
• /
• v.25 no.1
• /
• pp.52-63
• /
• 2012

Up-to-date enlargement of the scale of global outsourcing has brought about the need of systematic and efficient tools for competitive supplier discovery located in various areas. A web-based business supporting system, referred to as Excellent Manufacturer Scouting System(EMSS), is being developed to serve core business functions including supplier discovery, negotiation, and collaboration between overseas buyers and domestic suppliers throughout the process of supply chain formation. In this paper, a supplier assessment model devoted to evaluation of core manufacturing capability is proposed by targeting small and medium sized mold companies. The assessment model will eventually be loaded to EMSS. Even if many well-designed models for supplier assessment have been presented in literature, most of them limit the evaluation criteria to somewhat general information on a given supplier, such as cost, delivery time, quality, rather than core manufacturing capability itself. This research is pioneering work on supplier assessment from the viewpoint of manufacturability. The proposed assessment model classifies assessment indices into six criteria, which have been drawn by intensive survey and analysis of the mold industry. Actual assessment indices for each criterion are also presented along with an exemplary evaluation result.

• The Journal of the Korea institute of electronic communication sciences
• /
• v.11 no.2
• /
• pp.125-138
• /
• 2016

Currently, there is increasing demand for weather information, however, providing meteorology and climate information is limited. In order to improve them, supporting the meteorology and climate big data platform use and training the meteorology and climate big data specialist who meet the needs of government, public agencies and corporate, are required. Meteorology and climate big data requires high-value usable service in variety fields, and it should be provided personalized service of industry-specific type for the service extension and new content development. To provide personalized service, it is essential to build the collaboration ecosystem at the national level. Building the collaboration ecosystem environment, convergence of marine policy and climate policy, convergence of oceanography and meteorology and convergence of R&D basic research and applied research are required. Since then, demand analysis, production sharing information, unification are able to build the collaboration ecosystem.

• International conference on construction engineering and project management
• /
• 2011.02a
• /
• pp.88-92
• /
• 2011

Even though attempts are made to transform from 2D CAD to BIM representation for building design and construction, it were not so successful for practical implementation until recently in construction industry in Korea. However, there is a dramatic change for the use of BIM by collaboration among government, independent organizations as well as industry itself. Government reckons that BIM is an important tool for environment friendly construction and industry competitiveness. The government not only makes national BIM standards and push policies in order to make market environment. Independent organizations such as BuildingSMART Korea does active role to stimulate the transformation process successfully. They act as opinion leaders for the Government to consider BIM implementation for industry competitiveness issue. They make roadmap as well as technical standards and guidelines. It also leads technical developments and supports for its implementation. Government supports researches for the implementation of BIM. The research includes BIM standards, guidelines, linking with existing Architectural Administrative Information Systems, making libraries as well as education. Government makes policy for BIM as a compulsory data for bidding process of newly designed government buildings. Private sector not only agrees BIM as a tool to adapt but also essential methods for its survival in domestic and foreign construction market. Architectural design companies and constructions companies currently develop technical skills and implement BIM for new projects such as Dongdaemoon Plaza that cannot be successfully drawn by conventional methods.

• KSBB Journal
• /
• v.28 no.6
• /
• pp.339-348
• /
• 2013

Translational research (TR) as high quality research can accelerate collaboration strongly between biotechnology-based researchers and clinical-research experts for overcoming diseases. TR facilitates basic science translated to clinical efficacy and effectiveness from bench (basic science) to bedside (clinical practice) for the enhancement of human health. Disease-oriented TR programs were defined as unilateral, bilateral and multilateral TR in this patent performance analysis. Patent performance was measured in a R&D project on Health and Medical Technology to enhance the productivity of R&D investment on disease-oriented TR in Health Technology (HT). Patent Map (PM) analysis and Bibliometrics were conducted to collect information for the assessment of research patents of TR programs. Futhermore, PIAS (Patent Information Analysis System) and Thinklear programs were applied for quantitative and qualitative analysis successfully. These indicate that multi-dimensional analysis of patent performance for disease-oriented TR could promote the connection of R&D-IP (Research and Development-Intellectural Property) and R&BD (Research and Business Development) supporting system significantly.

• Journal of the Korean Geographical Society
• /
• v.44 no.3
• /
• pp.355-371
• /
• 2009

The purpose of this study is to investigate the spatial structure of the production of technological knowledge in the Korean photonics industry. Patent data were used as a proxy of knowledge production. The data were gathered by keywords among the registered patents which were applied from 1996 to 2007. The photonics industry patents registered at United States Patent Trademark Office(USPTO) show that Korea and Taiwan, as a latecomer, have rapidly increased. The photonics industry patents registered at Korean Intellectual Property Office(KIPO) were analyzed by type of application: single-applicant and co-applicant patents. The analysis of single-applicant patents shows that technological knowledge in the Korean photonics industry has been produced mainly in Seoul, Suwon, and Daejeon. The degree of spatial bias, however, has been slightly decreased during the study period. Above-mentioned regions are also main centers in the analysis of co-applicant patents, but the forms of inter-regional cluster and network are different over time. It is because agents participating in co-applicant patents are diverse and increased. Furthermore, it seems that policies, such as the improvement of the infrastructure of ICT, the promotion of the photonics industry and the industry-university-institute collaboration, are very influential.

• Asia-Pacific Journal of Business
• /
• v.10 no.4
• /
• pp.223-236
• /
• 2019

Governance can be defined as a concept that encompasses a series of processes including partner selection as well as control and coordination of collaboration to achieve common goals. The study examined efforts to mitigate the risks of opportunistic behaviors into partner selection, partner relationship, control mechanism, and conflict management. For cases that have achieved commercialization outputs with the participation of SMEs, data was collected and analyzed such as interviews with project managers and case records for seven months from October 2016. According to the analysis result, as the complexity increases, such as multilateral cooperation for the development of finished products, cooperation with a trusted partner rather than a partner who can perform a task well was preferred, and the process control was put ahead of the output control. Regarding the partner relationship, the relationship between the owner and the agent differed according to the point of view, and there was a lack of clear allocation of authority and responsibility as well as a reward for the result. In terms of the conflict management, most emphasis was on resolving conflicts or difficulties, and no attempt was made to utilize the positive aspects of the conflict. The structure of most industry-university-institute cooperation organizations is simply composed of the host and participating organizations, and the management regulations should be amended for companies, that put actual funds and use the outputs, to have the authority and responsibility as the owners, and be allowed to use the governance elements appropriately to take the lead as consumers.

• Journal of the Korea Institute of Information and Communication Engineering
• /
• v.24 no.2
• /
• pp.333-336
• /
• 2020

AI-powered robot news is drawing attention as artificial intelligence technology is fully spread in the news distribution field. Robot news still has many technical and ethical problems, but academic research on this is insufficient. This study analyzes the issue of robot writing in artificial intelligent based robot journalism industry using SWOT analysis. As a result, the advantages of big data processes, accurate information gathering, high efficiency and disadvantages such as lack of independent arguments and lack of evidence and opportunities for technical development, government support, academic development, and industrial applications, and threats such as uncritical acceptance and lack of talent have been found. This study suggests three future-oriented directions, such as human-machine collaboration, intelligent news, and chat-bot, through previous studies on the development direction of robot journalism-based article writing.