• The Journal of the Korea Contents Association
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• v.13 no.6
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• pp.401-411
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• 2013

Selection of profitable research and development (R&D) projects is one of the major factors affecting sustained growth of firms and countries. This paper analyze what influences the knowledge on the business model exerted on selection of a R&D project. A business model converts the technology value to the customer value, and comprehensively describes the target customers for commercializing a new technology, core values, behaviors within organizations, resources, and external partners. Thus, understanding a business model would make R&D project evaluators place the feasibility and profitability of the business above the merits of the proposed technology in evaluating the technology development. To verify this hypothesis, we had 78 R&D project evaluators acquire the knowledge on the business model and measured how their criteria for R&D project selection have changed using the AHP method. The results shows that feasibility and profitability are more important than the merit of proposed technology, especially capability of company and business development are more important than the levels of technology innovation.

• Information Systems Review
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• v.8 no.2
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• pp.51-72
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• 2006

This study investigates the typology of Internet business models according to revenue sources, and empirically tests how the revenue sources of each Internet business model are different each other. This study consists of the following two steps. First, AHP(Analytic Hierarchy Process) is adopted in developing the influential factors(indexes) for the profitability of each Internet business model and the weight score of each factor. The questionnaire for AHP consists of 47 questions on 9-point scales, and was distributed to 10 experts on Internet business model. Expert Choice program has been used for analysis. Second, the questionnaire to survey the current profitability of each Internet business model was developed on 5-point scale. In order to analyze the actual revenue quality and source of Internet business models, we used MANOVA and ANOVA. This study contributes to develop the desirable revenue or profit model of each Internet business model, and also provides a reference in evaluation of the revenue quality of Internet business models.

• Journal of Communications and Networks
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• v.18 no.6
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• pp.975-988
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• 2016

Large access providers (ISPs) are seeking for new types of business agreements and pricing models to manage network costs and monetize better the provision of last-mile services. A typical paradigm of such new pricing norms is the proliferation of paid peering deals between ISPs and content providers (CPs), while on top of this, some ISPs are already experimenting with usage-based tariffs, usually through data-plans, instead of the typical fixed-based charging. In this work we define as common platform, the infrastructure in which a single ISP transacts with several CPs through peering agreements. In this context, we examine whether, and under which market conditions, the profitability of the involved stakeholders improves when the establishment of this platform is accompanied by a monetary compensation from the CPs to the ISP (paid peering), v.s. a scenario where their deal is a typical settlement-free one. In both cases, we assume that the ISP implements a usage-based access pricing scheme, implying that end-users will pay more for higher transaction rates with the CPs. Our framework captures some of the most important details of the current market, such as the various business models adopted by the CPs, the end-users' evaluation towards the ISP's and CPs' level of investments and the traffic rates per transaction for the offered services. By analysing the equilibrium derived by a leader-follower game, it turns out (among other practical takeaways) that whether or not the profitability of a CP improves, it highly depends on whether its business model is to sell content, or if it obtains its revenue from advertisements. Finally, we extract that consumer surplus is considerably higher under paid peering, which in turn implies improved levels of social welfare.

• Korean Journal of Construction Engineering and Management
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• v.11 no.1
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• pp.70-78
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• 2010

Recently our country need to change about hospital building operation and business change.The recent real estate development projects are made in very complex due to the diversity of development method or its legal aspects. Under such a real estate investment, the review of investment yield rate is fundamentally important for the one that invests and the one that finances it. Previously, the focus was in the review of the time to turn the surplus or the plan for making repayment of the borrowings, and without the analysis of sufficient investment yield rate. For a simple issue of finding the most advantageous project method, there is a need for reviewing the taxation issues, fund procurement method, legal aspects, policy analysis aspects and others. Therefore, the real estate investment is now likely to encounter the form of having the time of venture as well. In conclusion, the scientific and reasonable decision making in investing on the real estate does not suggest the absolute evaluation standard but the need and the use are more and more demanded.

• Journal of the Korean Society of Food Culture
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• v.21 no.6
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• pp.629-637
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• 2006

This exploratory study is to analyze the status of star menus and suggest the development strategy of star menus in the western restaurants of the tourism hotels in Seoul. The data was collected from the chefs who have been working over 15-years in tourism hotels in Seoul by judgement sampling. The questionnaire was composed of Miller and Pavesic's 'Fifty tips for a successful menu' and Khan's 'The evaluation of menu item development', The 30-menu items were selected from the 1st survey on the menu items that were high in both popularity and contribution margin by menu engineering method. The selected menu items were analyzed by 14 lists: simplicity, ready availability of ingredients, quality, flavor, presentation, preparation, service method, nutrition quality, preference, profitability, serving temperature, descriptive copy of menu and publicity. As a result of the study, appetizer category was recorded the highest score by 4.09. Smoked salmon, Tomato and mozzarella cheese, Cream of mushroom, Cream of asparagus, French onion soup, Grilled beef tenderloin, Grilled rib-eye steak, Roasted lamb rack, King prawn, Seafood spaghetti, Chef's salad, Caesar salad, Organic salad, Fruit plate, Italian tiramisu and Yogurt ice cream were recorded high score. The development strategy of star menu is belows : the menu writer must consider the productivity, effectiveness, popularity and profitability, the regular customers want varieties and creativity in the menu and the operators have to include the star menu items in the set menu.

• 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 Intelligence and Information Systems
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• v.14 no.2
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• pp.45-61
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• 2008

Previous U-Commerce researches have dealt with the business support systems for traditional commerce space such as real world shopping malls. This paper investigates U-Commerce business models in service space. The McDonald's Touch-Order case is analyzed from business model perspective and the Media-Embedded Place business model is introduced as a U-Commerce business model for value creation in service space. The media-embedded place business model attaches auto-identification tags to tables or billboards, triggers commercial transaction through the tags, and shares the revenues and the incentives among the place owners and commerce/content providers. This paper analyzes its scenario and applications and illustrates the profitability analysis using so-called 'tag evaluation model'.

• The Journal of Fisheries Business Administration
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• v.29 no.2
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• pp.163-175
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• 1998

The decrease of the fishery's business performance is due to the changes of environment-the increase of cost, the reduction of resources, the liberalization of import, the effectuation of the admiralty law Though the government has prepared the alternative policy to strengthen the competitive power of the fishery, fishermen should draw up a plan to improve the business performance. The problems of the small powered purse seine resulting from the small scale of the fishing boat is following. First, its catching activity in the sea is riskful. Second, the space to eat and to work is not enough. Third, the space to put the fish is not enough, it is hard to maintain the freshness of the fish. Therefore it is necessary to solve these problems for the scale of the fishing boat to have to be enlarged. The enlargement of the fishing boat to be required much expenditure of fund is the important investment decision to fishermen. The alternatives evaluation between the existing boat(defender) and the new boat enlarged with the new equipment(challenger) is necessary process to reduce the uncertainty of investment. The profitability of the challenger is better than that of defender due to the reduction of cost and the increase of revenue. Because the net present value of incremental cash flow is positive, it is rational for fishermen to accept the challenger.

• Journal of Distribution Science
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• v.15 no.7
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• pp.19-24
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• 2017

Purpose - There are several problems that organizations face to make a better team-based system such as free-rider issue, assigned difficult jobs unfairly and bickering between high performers and average performers. The purpose of this study is to provide solutions for practitioners through past academic studies on how organizations can resolve several issues in team management. Ultimately, it would lead to employees as better performers for organization's profitability and customers' satisfaction. Research design, data, and methodology - Solution 1 - put employees who have a similar performance ability together into a same team and apply 'growth' approach for low performance team. Solution 2 - make a new evaluation system which is balanced between individual's performance and team's performance. Solution 3 - monitor thoroughly to diffuse difficult works equally among teams and develop management practice system that may prevent or resolve difficult work-loads for a team or an individual performer. Result - Investigation suggests that organizations may resolve three conflicts which come from team base system. Moreover, the implications of results show that the most important criteria in team management depend on whether performers have a similar ability in the same team and management handles issue of justice and the performance of each employee is evaluated by total team performance evaluation simultaneously. Conclusions - All in all, our recommendation concludes that if three issues are resolved, the lack of trust in team-based system among team members will be missed.

• The Journal of Fisheries Business Administration
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• v.39 no.3
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• pp.49-65
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• 2008

In Korea, deep-sea fishing industry is faced with pressure of being thrown out of business, because of the upcoming unfavorable business conditions such as the fishing regulation of coastal countries, Korea-US Free Trade Agreement(KORUS FTA), and the other socio-economic changes. Hence, we present an evaluation of future business competitive for the deep-sea fishing industry so that the government can develop a concession plan for the deep-sea fishing industry by utilizing the results of this study. In efficiency analysis of deep-sea fishing industry, the decision maker may have two problems: (1) how to deal with multiple inputs and outputs of deep-sea fishing industry and (2) how to assign the weights on different inputs and outputs, In this paper, we proposed to use Data Envelopment Analysis (DEA) to estimate efficiency of deep-sea fishing industry with multiple inputs and outputs. In the DEA, The direct impact of KORUS FTA, fishing regulation of coastal countries, fishing charges, and competitive fishing conditions were used as input parameters while the profitability and secured fishing quarters, as outputs. The results of DEA-BCC model indicate that 6 out of 12 DUMs have better efficiency under variable return to scale assumption.