• Management & Information Systems Review
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• v.38 no.1
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• pp.1-21
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• 2019

This study focuses on (1) the relationship between the network intensity of top managers and the R&D investment of Korean firms, and (2) the moderating effects of the type (related-division vs. unrelated-division) and system (physical division vs. spin-offs) of corporate division on this relationship. The sample of this study was all type and/or system of corporate division implemented by Korean firms during 18-years (1999-2016) study periods. The results of multiple regression analyses as follow. First, as was expected in hypothesis 1 the network intensity of top managers has a strong positive linear relation with the R&D investment of Korean firms. Second, regarding the moderating effect of division type the results show that related-divisions significantly intensify the positive relationship of the network intensity of top managers with the R&D of Korean firms although unrelated-divisions did not. Third, in the analysis of moderating effect of corporate division system the results present the stronger positive moderating effect of spin-offs rather than physical divisions. The findings of the study implies that strong network intensity of top managers can be beneficial to long-term decision such as R&D investment of Korean firms. They accords to network theory that emphasize the importance of strong network effect among top managers based on their trust. The findings also implies that researchers and practitioners should consider organizational-level factors such as organizational structure, culture, corporate governance, etc as well as individual-level factors such as the characteristics and relationships of organizational members when making the decision for firm.

• Information Systems Review
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• v.25 no.4
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• pp.27-45
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• 2023

The importance of information security has grown alongside the development of information and communication technology. However, companies struggle to select suitable countermeasures within their limited budgets. Sönmez and Kılıç (2021) proposed a model using AHP and mixed integer programming to determine the optimal investment combination for mitigating information security breaches. However, their model had limitations: 1) a lack of objective measurement for countermeasure efficacy against security threats, 2) unrealistic scenarios where risk reduction surpassed pre-investment levels, and 3) cost duplication when using a single countermeasure for multiple threats. This paper enhances the model by objectively quantifying countermeasure efficacy using the beta probability distribution. It also resolves unrealistic scenarios and the issue of duplicating investments for a single countermeasure. An empirical analysis was conducted on domestic SMEs to determine investment budgets and risk levels. The improved model outperformed Sönmez and Kılıç's (2021) optimization model. By employing the proposed effectiveness measurement approach, difficulty to evaluate countermeasures can be quantified. Utilizing the improved optimization model allows for deriving an optimal investment portfolio for each countermeasure within a fixed budget, considering information security costs, quantities, and effectiveness. This aids in securing the information security budget and effectively addressing information security threats.

• Korean Journal of Construction Engineering and Management
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• v.17 no.3
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• pp.108-115
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• 2016

The price determinant for land investment depends on the internal information process and subjective decision making by management in general. Accordingly, the systematic frame to determine the feasibility of investment price to the public residential land for multi-housing development by private sector has not been proposed. The purpose of this study is to explore the frame to determine the investment price for public residential land from the perspectives of land attribute and apartment market factor. Multiple regression has been implemented to confirm the eligibility of proposed model. Research findings indicate that the land area, floor area ratio, coverage ratio, location have been identified as the total land cost determinant, and for the determinants for floor area land cost, the ratio of apartment, sale price, rent price, etc, have been identified. This research intends to provide the basis for land providers to predict the land value as a raw material in market and present the indicators for land buyers to review the price adequacy for the investment.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.1
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• pp.239-250
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• 2018

This study classified the predictors affecting the life satisfaction level of married immigrant women into socio-demographic factors (age, education, personal system factors (Korean proficiency, self-rated health, depressed mood, multicultural attitude), family system factors (spouse relationship satisfaction, child relationship satisfaction, couple conversation time, decision-making status), and social factors (social support, social capital, experience of social discrimination, multicultural family support center use) based on ecosystem perspectives and comprehensively examined their effects. The data for 14,464 married immigrant women from the National Survey on Multicultural Families 2015 were analyzed through hierarchical multiple regression. The findings of this study are as follow. First, the results indicated that all ecosystem factors- that is personal, family, and social system factors-significantly affected life satisfaction level of married immigrant women and especially personal and family system factors increased the predictability on their satisfaction. Second, among all predictors, spouse relationship satisfaction was the factor most strongly associated with life satisfaction. Finally, the income variable among socio-demographic factors, depression among personal system factors, spouse relationship satisfaction among family system factors, and experience of social discrimination among social system factors all showed the strongest significant effects on the life satisfaction level of married immigrant women. These results suggest that comprehensive factors based on the ecosystem perspectives to intervene and promote the life satisfaction of married immigrant women should be considered.

• Korean Journal of Construction Engineering and Management
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• v.16 no.1
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• pp.82-91
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• 2015

Recently, due to the increasing concern of environmental factors and low carbon usage, the use of natural gas has been inclining steadily. In order to meet the growing demand of natural gas, government have established strategies to secure the sufficient amount of gas that is mainly used by industries, power generation and residential use by constructing additional receiving terminals for Liquid Natural Gas (LNG). In the process of selecting the optimal site for the terminals, the characteristics of the terminals are not considered where the decision making is done through internal meetings or outsourcing. In respect to site selection, researches are done to derive the factors that are considered for optimal site selection. However, there have not yet been researches in creating a systematic model for analyzing the optimal site selection. To this aim, the paper aims to propose a model for site selection of LNG receiving terminals that considers the characteristics of the terminal construction. Total of 47 factors considered in site selection is derived through interviews with experts and analyzing the previous cases of site selection by various firms. Furthermore, the derived 47 factors are used for the survey for the previous LNG terminals in PT, IC, TY, SC and BR areas where the survey data is analyzed by factor analysis and multiple regression models to depict the optimal site. By applying the model for site selection, practitioners are able to make decisions for site selection in a systematic approach for new candidates of sites.

• Journal of Korea Spatial Information System Society
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• v.11 no.3
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• pp.73-78
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• 2009

100 households' survey was carried out in 2007 in Chitwan to foresee the people's livelihood and their insight into the forest conservation. This analysis revealed that households' was mainly survived with multiple livelihood categories where 98% citizens belong to food crops and 92% to livestock husbandry. The households' income shared by agriculture (crop and livestock), forest and remittance was 37% and 20% respectively. Results further showed that income distribution was somehow equal with Gini coefficient 0.25 than with the 0.37 of landholdings size. But, average per capita income of households was lower than the national standard with 33% of households below the poverty thresholds and 0.0945 poverty gap index. Similarly, 85% respondents assured for the current degraded status of forest and 83% of households for not participated in forest management activities due to low awareness in 82% households. These findings shows the forest assets could be unduly degraded in the past and forest availability which is extracting from the remaining forest is also decreasing in the area. Thus, tendency of forest dependency has been shifting to the small scale farming, other livelihood sources such as local business and services. This information could be useful in planning and decision-making process in searching of better alternative for the local livelihood as well as sustainable forest conservation strategy.

• Journal of Distribution Science
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• v.13 no.4
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• pp.55-64
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• 2015

Purpose - Multi-dimensional prices comprise multiple components such as monthly payments and a number of payments rather than a single lump-sum amount. According to previous studies, an increase in the number of price dimensions leads to a massive amount of cognitive stress resulting in incorrect calculation, and deterioration in the consistency of the price judgment. However, an increase only in the level of complexity of calculating multi-dimensional prices does not always result in a corresponding decrease in the accuracy of price evaluation. Since diverse variables could affect consumers' purchase-decision-making process, the results of price evaluation would be different. In this study, an empirical analysis was performed to determine how the accuracy of price evaluation varies depending on the extent of the complexity of price dimensions using product involvement and brand preference as moderating variables. Research design, data, and methodology - A survey was conducted on 260 students, and 252 effective responses were used for analysis. The data was analyzed using t-test, one-way ANOVA, and two-way ANOVA. In this study, six hypotheses were developed to examine the effect of product involvement and brand preference on consumers' evaluation effort of multi-dimensional prices. Results - As the number of price dimensions increased, accuracy of price evaluation appeared to be low in high involvement, as expected. However, it showed no differences in price evaluation effort when the level of complexity of calculating multi-dimensional prices is low. When a small number of price dimensions are presented in both cases of high and low involvement, accuracy of price evaluation is much higher in a weak brand preference. On the contrary, a strong brand preference enhances an accuracy of price evaluation only in case of low involvement when the number of price dimensions is increased. An interaction effect of product involvement and brand preference on consumers' evaluation of multi-dimensional prices did not exist irrespective of the level of complexity of calculating prices being high or low. Conclusions - When the number of price dimensions is small, consumers' effort for price evaluation shows almost no difference without the moderating effect of involvement, and a weak brand preference leads to a higher accuracy of price evaluation in an effort to make the best selection. No interaction effect of product involvement and brand preference was found except for a main effect of brand preference. When a price is composed of multiple dimensions rendering it more difficult to calculate the final price, the effort for price evaluation was expected to decrease only slightly in case of combination of high involvement and strong brand preference. This is because people have a higher purchase intentions and trust for that particular brand. However, the accuracy of price evaluation was much lower in cases of high involvement, and there was no interaction effect between product involvement and brand preference except for a main effect of involvement and brand preference, respectively.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.95-99
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• 2015

The IRR(internal rate of return) is often used by investors for the evaluation of engineering projects. Unfortunately, it has serial flaws: (1) multiple real-valued IRRs may arise; (2) complex-valued IRRs may arise; (3) the IRR is, in special cases, incompatible with the net present value (NPV) in accept/reject decisions. The efforts of management scientists and economists in providing a reliable project rate of return have generated over the decades an immense amount of contributions aiming to solve these shortcomings. Especially, multiple internal rate of returns (IRRs) have a fatal flaw when we decide to accep it or not. To solve it, some researchers came up with external rate of returns (ERRs) such as ARR (Average Rate of Return) or MIRR (MIRR, Modified Internal Rate of Return). ARR or MIRR. will also always yield the same decision for a engineering project consistent with the NPV criterion. The ERRs are to modify the procedure for computing the rate of return by making explicit and consistent assumptions about the interest rate at which intermediate receipts from projects may be invested. This reinvestment could be either in other projects or in the outside market. However, when we use traditional ERRs, a volume of capital investment is still unclear. Alternatively, the productive rate of return (PRR) can settle these problems. Generally, a rate of return is a profit on an investment over a period of time, expressed as a proportion of the original investment. The time period is typically the life of a project. The PRR is based on the full life of the engineering project. but has been annualised to project one year. And the PRR uses the effective investment instead of the original investment. This method requires that the cash flow of an engineering project must be separated into 'investment' and 'loss' to calculate the PRR value. In this paper, we proposed a tabulated form for easy calculation of the PRR by modifing the profit and loss statement, and the cash flow statement.

• The Journal of Engineering Research
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• v.6 no.2
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• pp.11-22
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• 2004

A distributed constraint satisfaction problem (distributed CSP) is a constraint satisfaction problem(CSP) in which variables and constraints are distributed among multiple automated agents. ACSP is a problem to find a consistent assignment of values to variables. Even though the definition of a CSP is very simple, a surprisingly wide variety of AI problems can be formalized as CSPs. Similarly, various application problems in DAI (Distributed AI) that are concerned with finding a consistent combination of agent actions can be formalized as distributed CAPs. In recent years, many new backtracking algorithms for solving distributed CSPs have been proposed. But most of all, they have common drawbacks that the algorithm assumes the priority of agents is static. In this thesis, we establish a basic algorithm for solving distributed CSPs called dynamic priority search algorithm that is more efficient than common backtracking algorithms in which the priority order is static. In this algorithm, agents act asynchronously and concurrently based on their local knowledge without any global control, and have a flexible organization, in which the hierarchical order is changed dynamically, while the completeness of the algorithm is guaranteed. And we showed that the dynamic priority search algorithm can solve various problems, such as the distributed 200-queens problem, the distributed graph-coloring problem that common backtracking algorithm fails to solve within a reasonable amount of time. The experimental results on example problems show that this algorithm is by far more efficient than the backtracking algorithm, in which the priority order is static. The priority order represents a hierarchy of agent authority, i.e., the priority of decision-making. Therefore, these results imply that a flexible agent organization, in which the hierarchical order is changed dynamically, actually performs better than an organization in which the hierarchical order is static and rigid. Furthermore, we describe that the agent can be available to hold multiple variables in the searching scheme.

• Journal of Digital Convergence
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• v.19 no.2
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• pp.105-115
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• 2021

The purpose of this study is to present the effect of differences in individual coping and organizational homogeneity culture on information security compliance from an exploratory perspective. The study divided groups into individual coping (task-oriented, emotion-oriented) and organizational homogeneity culture (homogeneity, heterogeneity), confirms the difference in information security for each group through cross-design and presents a multiple mediation model between information security factors. As a result of the study, in the coping dimension, the average of the security compliance factors was higher in the emotion-oriented than the task-oriented, and in the homogeneity culture dimension, the average of the security compliance factors was higher in the homogeneity than the heterogeneity. Additionally, social influence and involvement had a multiple mediation effect on the relationship between information security awareness and compliance intention. The implications of this study were to confirm the difference in the effect of individual decision-making styles on security compliance according to the organizational culture differences. The results suggest the necessity of applying a customized information security compliance model for each organization and individual characteristics.