• Proceedings of the SAREK Conference
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• 2008.06a
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• pp.231-236
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• 2008

The purpose of this study is to develop assessment model for selection of new DSM investment programs. In this research, MAUT method which find assessment value by each attributes related to selecting new DSM investment programs using utility function and integrate with structural frame was used to develop assessment model. In order to validate the usefulness of the model, assessment model was applied for actual candidate group of new DSM investment programs in natural gas domain. By utilize this assessment model to select new DSM investment programs, it is expected to minimize risk of new program launching and to maximize efficiency of DSM investment programs.

• Journal of the Korean Operations Research and Management Science Society
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• v.40 no.4
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• pp.19-33
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• 2015

Recently, interest in research and development (R&D) investment decisions have increased among Korean domestic enterprises. However, existing R&D investment studies only focused on government R&D investment policies while only a few studies investigated firm level R&D investment. Prior literatures also overlooked the feedback loop between R&D investment and firm performance. Therefore, this paper identifies a system dynamics model for R&D investment decision making in domestic electronics firms. The conceptual model is derived from R&D investment-related theories found in bodies of literature on company performance, enterprise activity, and market maturity. This study investigates the dynamic feedback between R&D activities and sales using the system dynamics model. In other words, the system dynamics model is used to explain the change in the closed feedback circulation structure in R&D investment activities including technology development, production process, and marketing that subsequently result in sales increase and re-investment into R&D from the generated revenues. There are two major results. First, a similar ratio of investment on technology development and production process derives the higher company sales. Second, regardless of market maturity, marketing investment ratio positively affects sales and R&D budget growth. This study provides a system dynamics model to find the optimal ratio for R&D investment and suggests managerial strategic implications on electronic firm R&D investment decision making under market maturity condition.

• Journal of Distribution Science
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• v.13 no.8
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• pp.41-48
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• 2015

Purpose - This study's objective is to confirm the effects of the perceived relationship value, alternative attractiveness, and investment size on Korean food service franchisees' commitment, using an investment model. Among the three factors, the study examines which factors enhance or weaken the commitment in the franchising investment model. Research design, data, methodology - The data were collected from 495 franchisees and analyzed by a SEM (Structure Equation Model) using path analysis by SPSS 18.0 and AMOS 18.0. Results - 1) The perceived relationship value has a positive effect on franchisee commitment. 2) The alternative attractiveness has a negative effect on franchisee commitment. 3) The investment size has a positive effect on franchisee commitment. Conclusions - The findings show that the investment model can be adapted to franchising and confirms previous investment model study results. We can assume that the higher the perceived relationship value and the bigger the investment, the stronger the commitment, and the greater the alternative attractiveness, the weaker the commitment. These results offer managerial implications for a franchisor wanting to strengthen franchisee commitment.

• Journal of Information Technology Applications and Management
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• v.15 no.1
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• pp.183-202
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• 2008

The introduction of a ubiquitous environment has realized commercial ubiquitous services in various industrial fields and government area. The central and/or local governments are demanding an appropriate investment evaluation model for ubiquitous service. Thus, this study develops and suggests an evaluation model for ubiquitous service by reflecting its characteristic of promoting public good, as well as its broad ripple effect on people. The investment evaluation model for ubiquitous service suggested by this study is based on Cost Benefit Analysis Method. Especially, the 'Benefit' is analyzed in two aspects; 'Economic Benefit', which shows the benefit that ubiquitous service providers to the overall local economy, and; 'Financial Benefit', which shows the profit of individual investors participating in the introduction of ubiquitous service. The investment evaluation model for ubiquitous service suggested by this study can be used by the central and/or local government during their evaluation for investment before introducing a ubiquitous service. Also, when introducing a ubiquitous service in public field, the model can be used to support the decision making of private businesses for investment. Finally, it can be used to promote and inform the expected benefits of introducing a ubiquitous service to local residents.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.65 no.6
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• pp.979-986
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• 2016

At present, electric power industry around the world are being gradually changed to a new paradigm, such as electrical energy storage system, the wireless power transmission. Demand for ESS, the core technology of the new paradigm, has been growing worldwide. However, it is essential to estimate the optimal capacity of ESS facilities for frequency regulation because the benefit would be saturated in accordance with the investment moment and the increase of total invested capacity of ESS facilities. Hence, in this paper, the annual optimal mathematical investment model is proposed to estimate the optimal capacity and to establish investment plan of ESS facility for frequency regulation. The optimal mathematical investment model is newly established for each season, because the construction period is short and the operation effect for the load by seasons is different unlike previous the mathematical investment model. Additionally, the marginal operating cost is found by new mathematical operation model considering no-load cost and start-up cost as step functions improving the previous mathematical operation model. ESS optimal capacity is established by use value in use iterative methods. In this case, ESS facilities cost is used in terms of the value of the beginning of the year.

• Knowledge Management Research
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• v.12 no.4
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• pp.41-54
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• 2011

Given the prevalence of home trading systems, it has become important to examine user behaviors in a stock investment environment. In this vein, this paper developed an integrated model to deeply understand the key determinants of user's continuance intention to use investment information through constructs prescribed by incorporating trust and perceived risk into expectation-confirmation model. The proposed research model was tested by using survey data collected from 160 users who have experience with stock investment. PLS (partial least squares) was employed for the analysis of the data. The findings of this study showed that the proposed framework provides a statistically significant explanation of the variation in continuance intention to search investment information. The findings revealed that trust and perceived risk are more prevalent predictors of continuance intention to use investment information compared to perceived usefulness. It was also found that user satisfaction serves as the salient antecedents of continuance intention to use investment information. The theoretical and practical implications of the findings were described.

• Korean Management Science Review
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• v.16 no.1
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• pp.63-74
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• 1999

This paper presents a R&D investment model for the Information and telecommunications(l&T) technology using multiple objective linear programming(MOLP). The MOLP model involves the simultaneous maximization of three linear objective functions associated with three criteria, which are social, technological, and economic criterion. This model is different from the traditional one which only involves the maximization of economic criterion. It yields a suitable R&D investment ratio to each technology field. Its application to the National R&D Project in l&t Industry is also presented. In this application, the Analytic Hierarchy Process(AHP) is proposed to estimate the weights, which used as the coefficients in each objective function of the MOLP model. Then the problem is solved using the interactive method STEM. It is showed that with the aid of STEM, the MOLP model can be useful decision aid in formulation R&D investment plan in l&t industry. It is expected that the MOLP model works as the basis for planning R&D investment strategy in l&T industry.

• THE INTERNATIONAL COMMERCE & LAW REVIEW
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• v.27
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• pp.183-213
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• 2005

This study is achieving overseas investment to be kept and manages important position in business scope because Korean Company achieves business in major market in world and goes forward. under proposition that development(foreign direct investment) previous engagement can not but differ with advanced nation enterprise's model in over sea direct investment achievement. Grasp ramification(pattern change substance) of overseas direct investment since the 1990 to korean manufacture Firm(enterprise). Seek political consultation by analyzing change of factor and investment decision factor by year in dimension by industry investment winter season by year affecting in oversea direct investment and was attained in purpose to verify existent theory's explanation power connected with investment previous engagement. This is that can develop and procure competitive advantage of enterprise peculiarity by making overseas direct investment adversely with existent theory that can make foreign country direct investment though there is high position of enterprise characteristic's competitive advantage and move of knowledge and information is important in korean firm's overseas direct investment in globalization roadbed in at least own field through change and renovation establish experiment model under proposition that should grope more active previous engagement than advanced nation enterprise and arranged subject of study if it is korean's firm that wish to become universal guidance enterprise. and examine trend of direct investment and actual conditions invested first in the foreign countries as examples by investment department, by investment industry inside of investment scale etc..., establish korean firm's invest area selection and decision and investment very important person and effect analysis Circumstance-model that is based in strategic adaptedness by year. Circumstance-variable have influenced how in overseas direct investment and decision and what variable will be considered first in over sea direct investment did Empirical analysis in here after

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.2
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• pp.657-665
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• 2016

This study analysed how real estate investor's preference influences the investment satisfaction and re-investment intention. For the study, the investment preference was analysed using the PLS Structural Equation Model. The profitability and safety among the investment behavioral factors influenced the investment satisfaction the most. The facility characteristics among the investment behavioral factors influenced the investment satisfaction slightly. Finally, the investment satisfaction among the investment preferences influenced the re-investment intention mainly.

• Journal of the Korean Regional Science Association
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• v.13 no.2
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• pp.75-92
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• 1997

This paper is concerned with an estimation of optimal investment of road sector in 1996-2005. The main method is a Computable General Equilibrium (CGE) Model for Korea in which the optimal solution is derived in a recursively dynamic path. The model is composed of three main modules: the supply, the demand and the price. In this paper, the investment demand for the road is optimized with subject to national economic growth and price inflation. If the annual inflation level and the economic growth rate during 1996-2005 are set to 4.5%-5.0% and 6.0%-6.5% respectively, the optimal demand for the road investment is estimated as 155.1-180.1 trillion Won or 3.33%-3.89% of the GDP for ten years. It implies that the additional increase of the road investment by 0.61%-1.15% of the GDP is required for sustainable economic development, since the share of the road investment in the GDP of the latest 5 years has stayed around 2.27%. However, it is necessary to reduce construction investments on housing as well as to promote private financing of the road in order to maximize an efficiency of resource allocation.