• Journal of Intelligence and Information Systems
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• v.26 no.3
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• pp.71-90
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• 2020

Recently, the global insurance industry is rapidly developing digital transformation through the use of artificial intelligence technologies such as machine learning, natural language processing, and deep learning. As a result, more and more foreign insurers have achieved the success of artificial intelligence technology-based InsurTech and platform business, and Ping An Insurance Group Ltd., China's largest private company, is leading China's global fourth industrial revolution with remarkable achievements in InsurTech and Digital Platform as a result of its constant innovation, using 'finance and technology' and 'finance and ecosystem' as keywords for companies. In response, this study analyzed the InsurTech and platform business activities of Ping An Insurance Group Ltd. through the ser-M analysis model to provide strategic implications for revitalizing AI technology-based businesses of domestic insurers. The ser-M analysis model has been studied so that the vision and leadership of the CEO, the historical environment of the enterprise, the utilization of various resources, and the unique mechanism relationships can be interpreted in an integrated manner as a frame that can be interpreted in terms of the subject, environment, resource and mechanism. As a result of the case analysis, Ping An Insurance Group Ltd. has achieved cost reduction and customer service development by digitally innovating its entire business area such as sales, underwriting, claims, and loan service by utilizing core artificial intelligence technologies such as facial, voice, and facial expression recognition. In addition, "online data in China" and "the vast offline data and insights accumulated by the company" were combined with new technologies such as artificial intelligence and big data analysis to build a digital platform that integrates financial services and digital service businesses. Ping An Insurance Group Ltd. challenged constant innovation, and as of 2019, sales reached $155 billion, ranking seventh among all companies in the Global 2000 rankings selected by Forbes Magazine. Analyzing the background of the success of Ping An Insurance Group Ltd. from the perspective of ser-M, founder Mammingz quickly captured the development of digital technology, market competition and changes in population structure in the era of the fourth industrial revolution, and established a new vision and displayed an agile leadership of digital technology-focused. Based on the strong leadership led by the founder in response to environmental changes, the company has successfully led InsurTech and Platform Business through innovation of internal resources such as investment in artificial intelligence technology, securing excellent professionals, and strengthening big data capabilities, combining external absorption capabilities, and strategic alliances among various industries. Through this success story analysis of Ping An Insurance Group Ltd., the following implications can be given to domestic insurance companies that are preparing for digital transformation. First, CEOs of domestic companies also need to recognize the paradigm shift in industry due to the change in digital technology and quickly arm themselves with digital technology-oriented leadership to spearhead the digital transformation of enterprises. Second, the Korean government should urgently overhaul related laws and systems to further promote the use of data between different industries and provide drastic support such as deregulation, tax benefits and platform provision to help the domestic insurance industry secure global competitiveness. Third, Korean companies also need to make bolder investments in the development of artificial intelligence technology so that systematic securing of internal and external data, training of technical personnel, and patent applications can be expanded, and digital platforms should be quickly established so that diverse customer experiences can be integrated through learned artificial intelligence technology. Finally, since there may be limitations to generalization through a single case of an overseas insurance company, I hope that in the future, more extensive research will be conducted on various management strategies related to artificial intelligence technology by analyzing cases of multiple industries or multiple companies or conducting empirical research.

• Journal of Intelligence and Information Systems
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• v.21 no.3
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• pp.79-99
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• 2015

The prediction of bankruptcy has been extensively studied in the accounting and finance field. It can have an important impact on lending decisions and the profitability of financial institutions in terms of risk management. Many researchers have focused on constructing a more robust bankruptcy prediction model. Early studies primarily used statistical techniques such as multiple discriminant analysis (MDA) and logit analysis for bankruptcy prediction. However, many studies have demonstrated that artificial intelligence (AI) approaches, such as artificial neural networks (ANN), decision trees, case-based reasoning (CBR), and support vector machine (SVM), have been outperforming statistical techniques since 1990s for business classification problems because statistical methods have some rigid assumptions in their application. In previous studies on corporate bankruptcy, many researchers have focused on developing a bankruptcy prediction model using financial ratios. However, there are few studies that suggest the specific types of bankruptcy. Previous bankruptcy prediction models have generally been interested in predicting whether or not firms will become bankrupt. Most of the studies on bankruptcy types have focused on reviewing the previous literature or performing a case study. Thus, this study develops a model using data mining techniques for predicting the specific types of bankruptcy as well as the occurrence of bankruptcy in Korean small- and medium-sized construction firms in terms of profitability, stability, and activity index. Thus, firms will be able to prevent it from occurring in advance. We propose a hybrid approach using two artificial neural networks (ANNs) for the prediction of bankruptcy types. The first is a back-propagation neural network (BPN) model using supervised learning for bankruptcy prediction and the second is a self-organizing map (SOM) model using unsupervised learning to classify bankruptcy data into several types. Based on the constructed model, we predict the bankruptcy of companies by applying the BPN model to a validation set that was not utilized in the development of the model. This allows for identifying the specific types of bankruptcy by using bankruptcy data predicted by the BPN model. We calculated the average of selected input variables through statistical test for each cluster to interpret characteristics of the derived clusters in the SOM model. Each cluster represents bankruptcy type classified through data of bankruptcy firms, and input variables indicate financial ratios in interpreting the meaning of each cluster. The experimental result shows that each of five bankruptcy types has different characteristics according to financial ratios. Type 1 (severe bankruptcy) has inferior financial statements except for EBITDA (earnings before interest, taxes, depreciation, and amortization) to sales based on the clustering results. Type 2 (lack of stability) has a low quick ratio, low stockholder's equity to total assets, and high total borrowings to total assets. Type 3 (lack of activity) has a slightly low total asset turnover and fixed asset turnover. Type 4 (lack of profitability) has low retained earnings to total assets and EBITDA to sales which represent the indices of profitability. Type 5 (recoverable bankruptcy) includes firms that have a relatively good financial condition as compared to other bankruptcy types even though they are bankrupt. Based on the findings, researchers and practitioners engaged in the credit evaluation field can obtain more useful information about the types of corporate bankruptcy. In this paper, we utilized the financial ratios of firms to classify bankruptcy types. It is important to select the input variables that correctly predict bankruptcy and meaningfully classify the type of bankruptcy. In a further study, we will include non-financial factors such as size, industry, and age of the firms. Thus, we can obtain realistic clustering results for bankruptcy types by combining qualitative factors and reflecting the domain knowledge of experts.

• Journal of the Korean association of regional geographers
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• v.21 no.3
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• pp.474-488
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• 2015

Conflicts in the construction of large public facilities carried out as national projects are crucial issues we have to deal with. There are growing concerns for and oppositions to large construction projects in terms of environmental deterioration and the dissolution of local communities. In the case of projects that promise the creation of jobs and investment, the competition and disputes are increasing and being intensified. Therefore, there is a considerable amount of study on the competitions and conflicts between regions. Previous studies have focused on the procedures of public policy, governance structure, the role of local media. Contrary to the previous studies, this study investigates the spatial ways of constructing conflicts. Based on the analysis of the project of "Southeastern New International Airport", there is a mismatch between the spatial boundary of cost/benefit and agents (regions) of disputes. The agents of conflicts also show the politics of multiple scales by constructing alliances and breaking the network in the process of the airport project. The findings suggest that the conflicts on regional development should be understood as the construction of dynamic regional politics on regional development rather than as the by-product in the practice of policies.

• Journal of Internet Computing and Services
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• v.16 no.4
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• pp.121-130
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• 2015

Technology based start-up is actively encouraged for job creation and economic performance in Korea. The Korean government has implemented a variety of policy for regulatory improvement to vitalize technology based start-up. In order to maximize the effectiveness of the policy for regulatory improvement should be actively reflect the opinions of policy beneficiaries. In this study, The importance of "The progress plan for regulation improvement about vitalization of start-up(25 contents)" published by the government was analyzed using AHP method. The object of study is the beneficiary of the policy(CEO of ICT sector). Analysis showed that the 25 contents were classified into four(1 - expectation of effect, 2 - urgency of system enforcement, 3 - complement of deficiencies, 4 - after careful consideration). This study has a academic significance to quantitative analysis about importance of policy for regulatory improvement. Also, It can be utilized when policy making and practice about technology based start-up.

• The Journal of Society for e-Business Studies
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• v.16 no.1
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• pp.49-70
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• 2011

While new service development has become one of the most popular topics among practitioners and academics, methodologies development for new service development is only in its infancy. Especially, despite the growing interests in open innovations that effectively utilize external resources for R&D, existing research on new service development methodology designed to use external resources is scant. This article proposes a new methodology to generate new service business models that utilize massive external resources in combination with internal resources using ICT. The "Open Collaboration Innovation Methodology (OCIM)" is built based upon the theory of open innovation model and social psychology theories on behavioral motivation for cooperation. The model begins with the procedures to identify external resources that meet service objectives and requirements, and suggests motivation, control and monitoring mechanisms to implement a new service model. A business case is followed to demonstrate the use of the model. We expect that this model can be practically used by companies that are planning for developing new business models, and will provide a better understanding on open collaboration models, collective intelligence and crowd sourcing models.

• Journal of Ginseng Culture
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• v.2
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• pp.27-38
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• 2020

Gaesung was the Mecca of Korean ginseng. Factors that Gaesung has been a leading brand of Korean ginseng were multiplicative. Those were natural conditions and huge commercial capital, red ginseng factory, creative business systems and etc. We can quote BongSang Son, SungHak Kong and JeongHo Kim as a famous Gaesung' ginseng merchants. They, as leaders modern ginseng industry had supplied the method of cultivation, prevention of phyto-diseases, excellent ginseng seed, and prepayment system of farming capital. The Gaesung merchants also adopted modern marketing techniques : commercial advertisement, made-order sales, changing package of the ginseng products. The book 'The Dictionary of Korean Companies and Stores' which was published in 1927 introduces BongSang Son as a great businessman in Gaesung. He was not only merchants but also educator and social worker. He practiced the spirit of entrepreneurship. BongSang Son's role of pioneer contributed to the development of Korean ginseng and Gaesung. Due to such efforts of Gaesung merchants, Korean ginseng industry were took a great step forward. This article considered the development of Korean ginseng industry through the life and achievement of the ginseng magnate BongSang Son who was a representative one of Gaesung merchants.

• Korean Journal of Construction Engineering and Management
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• v.16 no.4
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• pp.139-145
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• 2015

Modular construction is combined with manufacturing production process and conventional construction industry technique. Considering characteristic of modular construction production process, manufacturing facilities require indirect costs for utilities, equipment, and overall maintenance, which can affect modular units pricing. However, current modular construction cost classification is inadvertent to reflect the manufacturing overhead costs, because it is generally added as a percentage to sum of labor, material and equipment as it called in single cost pool used. This process is easy to estimate the total construction cost at the project starting points, but it brings on misunderstanding of project profit estimations by "cross subsidization phenomenon". To prevent this situation, in this research aims to provide modular construction overhead cost handling process at the detailed indirect cost calculation for manufacturing stage using Activity-Based Costing as one of the powerful method for overhead costs estimation and allocation. Using this research results, modular construction cost estimators have more detailed cost information of modular units and prevent to misallocate indirect costs. Also, it can be utilized to aid the understanding of the company's profit structure.

• Korean Journal of Poultry Science
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• v.16 no.1
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• pp.29-52
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• 1989

Selection of breeds, adequate environment and sanitary condition must be considered to improve production ability. Minimizing of production cost through reasonable management and farm system can introduce maximizing net income. Followings are the summary of poultry industry in Japan： (1) To decreasing consumers Price and to gurantee the quality of eggs, poultry farms changed their farm system as complex which contain feed factory, GP center and processing factory as well as raising laying hens. (2) Broiler farms moved from suburbs to several remote from cites owing to development of transferation , and rising price of land. (3) The egg Price in Japan was depended on season. From fall to spring, the Price was usually rised due to increased consumption, and from May to August the price always dropped. (4) The average production per one you was around 17kg/hen and average feed consumption was around 2.45. Rearing rate was around 98.5% and motality of hens was around 7%. And one person reared 15,000-20,000 hens in over 100 thousand chicken reared farms even though average ability per person showed 3,266 hens.

• The Journal of Korean Institute for Practical Engineering Education
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• v.3 no.2
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• pp.11-17
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• 2011

As a rapid rate of social change and competitive, paradigm of industry environment manufacturing products and services is shifted. Engineers design, develop, manufacture the products and services are strongly asked competency of different new creative practices. This means while industrial structure has been shifted from mass production to various allied production and social engineering based production, qualifications of engineers are required to individual creative competency as alternatives. In order to improve the competency, engineer become the creative people have ability to develop the professional knowledge competency and expand the competency to convergence the new product and services with sensing the life and social structure shift, human engineering, psychology, and emotion. For the competency, we develop the training program "improving convergence, creativity through Art." we intend that the program should be composed of creative engineering mechanism combined creative arts mechanism. It has been operated to the engineers for 17 weeks. we will discuss the program result and research direction and utilization in depth.

• Journal of Technology Innovation
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• v.23 no.3
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• pp.169-199
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• 2015

Information and communication technologies (ICT) have been combined with products from other industries to provide new functionality, as recently shown in the cases of Internet of Things (IoT). Modularity assumes a crucial role in such technological convergence, and has impacts on the relationship between organizations as well as competition within an industry. Interface standards, which ensure the connectivity between modules, serve as a critical factor in the process by which modularity affects organization systems and industry structure. To understand the aforementioned phenomenon, we studied modularity and interface standards with a focus on the interaction between technology and organization systems and subsequent changes in industrial dynamics. This paper examines previous literature on modularity and interface standards in the aspects of product architecture, organization systems, and institutional factors. With this analytical framework, we conducted a comparative analysis of electronic and automotive industries to derive implications for standardization policy. This research has shown the significance of external open interface standards in shaping an industrial landscape where a variety of module producers horizontally compete. It also advises that policymakers take into account product characteristics, engagement of leading firms in an industry, and institutional factors such as WTO law in the design of standardization policy.