• Review of Culture and Economy
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• v.17 no.2
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• pp.29-62
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• 2014

Game industry, one of cultural-content industry which is considered as a typical knowledge-based industry and creative industry, is not like the overseas expansion of traditional manufacture, and has different strategy and performance of export expansion through product or project-based strategy. Therefore, it should be approached by each content unit, and necessary to look at the factors that make their decision makings of foreign market entry vary. This study focuses on discovering creativity, absorptive capacity and strategic orientation(market orientation and innovation orientation) which affect the difference of distribution's decision making of entry into foreign market in game industry This paper examined 252 cases of online games in order to investigate creativity, absorptive capacity and strategic orientations for each foreign market and what entry type(among licensing, joint distribution, exclusive distribution) they chose according to the products developed in team level. This helps us analyze the factors affecting market orientation and innovation orientation in the perspectives of creativity and absorptive capacity in comprehensive way, and notice the phenomena which use different foreign distribution strategy though there are company incorporated abroad and their results. This study supplements the limit of the existing Resource-Based View, Resource-Dependent View, and traditional international business theories such as Transaction Cost Theory or OLI Paradigm(Eclectic Framework), and proves how company could reduce asymmetry of uncertainty and information in creative industry and whether they accomplish successful overseas expansion according to strategic orientations.

• Journal of Intelligence and Information Systems
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• v.25 no.2
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• pp.167-194
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• 2019

This research starts from the four basic concepts of incentive incompatibility, limited information, myopia and decision variable which are confronted when making decisions in keyword bidding. In order to make these concept concrete, four framework approaches are designed as follows; Strategic approach for the incentive incompatibility, Statistical approach for the limited information, Alternative optimization for myopia, and New model approach for decision variable. The purpose of this research is to propose the statistical optimization model in constructing the portfolio of Sponsored Search Advertising (SSA) in the Sponsor's perspective through empirical tests which can be used in portfolio decision making. Previous research up to date formulates the CTR estimation model using CPC, Rank, Impression, CVR, etc., individually or collectively as the independent variables. However, many of the variables are not controllable in keyword bidding. Only CPC and Rank can be used as decision variables in the bidding system. Classical SSA model is designed on the basic assumption that the CPC is the decision variable and CTR is the response variable. However, this classical model has so many huddles in the estimation of CTR. The main problem is the uncertainty between CPC and Rank. In keyword bid, CPC is continuously fluctuating even at the same Rank. This uncertainty usually raises questions about the credibility of CTR, along with the practical management problems. Sponsors make decisions in keyword bids under the limited information, and the strategic portfolio approach based on statistical models is necessary. In order to solve the problem in Classical SSA model, the New SSA model frame is designed on the basic assumption that Rank is the decision variable. Rank is proposed as the best decision variable in predicting the CTR in many papers. Further, most of the search engine platforms provide the options and algorithms to make it possible to bid with Rank. Sponsors can participate in the keyword bidding with Rank. Therefore, this paper tries to test the validity of this new SSA model and the applicability to construct the optimal portfolio in keyword bidding. Research process is as follows; In order to perform the optimization analysis in constructing the keyword portfolio under the New SSA model, this study proposes the criteria for categorizing the keywords, selects the representing keywords for each category, shows the non-linearity relationship, screens the scenarios for CTR and CPC estimation, selects the best fit model through Goodness-of-Fit (GOF) test, formulates the optimization models, confirms the Spillover effects, and suggests the modified optimization model reflecting Spillover and some strategic recommendations. Tests of Optimization models using these CTR/CPC estimation models are empirically performed with the objective functions of (1) maximizing CTR (CTR optimization model) and of (2) maximizing expected profit reflecting CVR (namely, CVR optimization model). Both of the CTR and CVR optimization test result show that the suggested SSA model confirms the significant improvements and this model is valid in constructing the keyword portfolio using the CTR/CPC estimation models suggested in this study. However, one critical problem is found in the CVR optimization model. Important keywords are excluded from the keyword portfolio due to the myopia of the immediate low profit at present. In order to solve this problem, Markov Chain analysis is carried out and the concept of Core Transit Keyword (CTK) and Expected Opportunity Profit (EOP) are introduced. The Revised CVR Optimization model is proposed and is tested and shows validity in constructing the portfolio. Strategic guidelines and insights are as follows; Brand keywords are usually dominant in almost every aspects of CTR, CVR, the expected profit, etc. Now, it is found that the Generic keywords are the CTK and have the spillover potentials which might increase consumers awareness and lead them to Brand keyword. That's why the Generic keyword should be focused in the keyword bidding. The contribution of the thesis is to propose the novel SSA model based on Rank as decision variable, to propose to manage the keyword portfolio by categories according to the characteristics of keywords, to propose the statistical modelling and managing based on the Rank in constructing the keyword portfolio, and to perform empirical tests and propose a new strategic guidelines to focus on the CTK and to propose the modified CVR optimization objective function reflecting the spillover effect in stead of the previous expected profit models.

• Journal of Environmental Impact Assessment
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• v.16 no.2
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• pp.107-120
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• 2007

The introduction of strategic environmental assessment (SEA) has strengthened and extended the value of environmental impact assessment (EIA) as a foundational tool for sustainable development. In particular, SEA helps to overcome the limitation of project EIA as a 'stand alone' approach, applied relatively late in the decision making cycle. SEA is applied to policy, plan and programme (3P) proposals, when major alternatives are open and systematic consideration can be given to their environmental effects. This process also corresponds to options appraisal of development proposal to find the best practical outcome having regard to all potential impacts. There are imperatives for sustainable development (SD) that are shaping future directions for EIA and SEA internationally, regionally and locally. There is a shift toward more integrative approaches of using EIA and SEA as sustainability tools in cooperated environmental management system (EMS). Korea has established and applied EIA for over twenty years for various projects. Given its coverage, the current EIA system is SEA exclusive. The Prior Environmental Review System (PERS), which is a SEA-type of system, was applied in the late 1990s, mainly for various developing planning programs. The current PERS has been modified as a SEA type system, but in general, policy is not going to be covered.

• Proceedings of the Korean Operations and Management Science Society Conference
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• 2007.11a
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• pp.256-263
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• 2007

Corporate managers look at IT outsourcing as long-term strategic choices not as short-term tactical ones, and maximizing the effect that IT outsourcing brings about is the main concern to them. Emerging different types of IT outsourcing and their effects on the corporate business decisions necessitate the research on this subject. According to previous researches, the Intent for IT outsourcing is categorized as IS Improvement, Business Impact, and Commercial Exploitation. The decison factors for these IT outsourcing include corporate strategy types, IT role, and interaction between these two. Firm size and IT maturity are selected as moderating factors to add the credibility to the research of the effect of IT outsourcing decision making. Analyzing IT outsourcing data collected from 61 large-size and mid-size domestic firms revealed that corporate strategy rather than IT role is more significant factor affecting the intent for IT outsourcing decision. That means the decision of outsourcing intent is affected by corporate strategy types. Defenders(as in corporate strategy types) tend to use IT outsourcing more as a means to improve information systems, compared to analyzers and reactors. Prospectors tend to use IT outsourcing more as a commercial exploitation, compared to analyzers and reactors. These outcomes prove that corporate strategy characteristics reflect outsourcing intent. There were previous researches that showed outsourcing decision depends on IT role however the hypothesis was rejected that IT role determines outsourcing intent. It was also rejected that the interaction between corporate strategy types and IT role determines outsourcing intent. Corporate decision makers should first analyze corporate strategy, and reflect it on the outsourcing intent when they make IT outsourcing decisions. Only the precise defining of IT outsourcing intent will lower the risk and increase the possibility of success.

• Proceedings of the Korean Institute of Navigation and Port Research Conference
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• 2004.04a
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• pp.333-341
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• 2004

This paper describes not only the complexities of LNG business including shipping sector but also its own current environmental changes. Furthermore, system dynamics (VENSIM analysis) as a methodology is introduced to analyze the potential LNG shipping market in the future. As a result of the VENSIM analysis, potentiality of the spot LNG shipping market is systematically established in connection with embodiment of the spot LNG market. This paper suggests three methods, which are centered on newbuildings of ships, for the shippers to prepare for the spot LNG shipping market on the basis that maritime economics can make a direct contribution to the shippers' business decision-making.

• The Journal of Information Systems
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• v.6 no.1
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• pp.223-256
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• 1997

Since the business scales of retailing companies become to be very large and the number of items dealt increases explosively, automation of inventory management becomes one of the most important issues to solve in retailing industry. In order to accomplish this automation of inventory management, there must be a great need to a method which can perform real-time decision making on inventory control in an automatic fashion, while communicating with inventory information systems like POS system and automatic warehousing system. But even in this circumstance, there are also many obstructions to such automation like varying demands, limited capacity of warehouse and exhibition room, need for strategic consideration on inventory control, etc., in a real sense. Due to these reasons, it seems very difficult that most large-scaled retailing companies get fully automated inventory management system. To overcome those difficulties and reflect them into inventory control, we propose a automated inventory control methodology for retailing industry based on neural network and policy model. Especially, policy model is devised to deal with dynamic varying demands and using this model, strategic goals on inventory can be considered into inventory control mechanism. Our proposed approach is implemented in workstation and its performance is also empirically verified also against to real case of one of the major retailing firm in Korea.

• Journal of Convergence for Information Technology
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• v.10 no.5
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• pp.8-15
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• 2020

Due to the advance of artificial intelligence, wide use of RPA(Robotic Process Automation) became inevitable. The purpose of this study is to seek cost management optimization based on RPA which has automatic collection of cost information, timeliness and flexibility. The cost management system based on RPA will be able to optimize and improve the cost management process through the cross-system of cost information recognition and the cloud platform. Following the review of previous researches on the benefit of the RPA-related technology along with the investigation on the problems of current cost management system, this study will suggest a way to adopt RPA to optimize cost management system for the implement of strategic management accounting to support management decision making.

• The Korean Journal of Health Service Management
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• v.5 no.1
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• pp.133-145
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• 2011

The purpose of this study is to analyze the influence of external environment, organizational characteristics on informatization level in hospital settings, and to provide suggestions to improve the informatizaiton level of strategic information system of hospitals. In order to achieve study purpose, causal model was developed and empirically tested. Data were collected from 716 managers of 89 hospitals keeping information system in Busan and KyungNam Province using self-administered structured questionnaire. Major results of this study were as follows; First, among hospitals which had information training programs, informatization capacity was significantly higher. Moreover, informatization capacity was significantly varied by ownership type, institutional level, and number of beds of hospitals. Second, environmental uncertainty, intra-industry competition intensity, decision-making concentration, work standardization variables and perceived benefits were found to be significant affecting factors on informatization capacity as a result of path analysis. Third, support of top-management and perceived benefits were found to be significant affecting factors on informatization capability as a result of path analysis. Especially, informatization capability was positively affected by informatization capacity. Finally, perceived benefits was found to be significant affecting factors on informatization competency as a result of path analysis. Especially, informatization competency was positively affected by informatization capability.

• Management & Information Systems Review
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• v.25
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• pp.297-319
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• 2008

Dramatic increase of social concerns on the environments has led companies to take into account environmental issues in strategic decision-making. The strategic consideration on environmental management is essential to the modern companies. This study was initiated with a research purpose to explain the level and the characteristics of corporate environmental strategy through comparing the Hyundai, GM and Toyota Motor Company. The research method adopted by this research is a case analysis. The degree of environmental management strategy was evaluated in functional sectors or value chain including the production, research and development, procurement, logistic and recycling etc. Consequently, this study could find that Toyota is the most advanced company in the level of environmental management strategy. Also there are many differences among three companies in the level and degree of environmental management strategy. Hyundai and GM did not consider environmental management in foreign subsidiaries as much as Toyota. Motor Company. Also the study find out there are actual gaps between the rhetoric and reality in environmental management strategy in Hyundai Motor Co. All companies included in this study consider importantly ISO14001 as the tool to maintain the environmental management of their companies.

• Journal of Korean Institute of Industrial Engineers
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• v.40 no.2
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• pp.172-183
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• 2014

This paper measures and compares the efficiency of national health technology R&D programs focused on translational research program increasing importance using data envelopment analysis (DEA). Three input variables and three output variables are selected for DEA. Inputs are funds, researchers, and project period and outputs are SCI (E) papers, applied and granted patents, and impact factor. This study uses a three-stage approach. In the first stage, output-based DEA model is applied to evaluate the efficiency of decision making unit (DMU). In the second stage, based on efficiency scores of target diseases high-efficiency group and low-efficiency group are classified. And then strategic portfolio matrix of translational research program is composed of four dimensions combining research types. Mann-Whitney U test is then run to compare average efficiency scores among four groups. In the final stage, Tobit regression model is used to estimate factors likely to influence the efficiency. The results are expected to provide policy implications for effectively establishing investment strategy and managing performance of R&D program.