• 한국IT서비스학회:학술대회논문집
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• 2003.05a
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• pp.171-179
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• 2003

기업들은 IT 아웃소싱을 통하여 급속한 IT의 변화에 대하여 신속히 적응하고, IT 구축 및 운영 비용을 효율적으로 절감하고 있으며, 특히 IT의 전략적 가치가 주요해짐에 따라 아웃소싱을 통하여 서비스 품질을 향상시키고, 핵심역량에 집중하고자 노력하고 있다. 공기업에서도 최근의 정부의 민간위탁에 대한 적극적인 제도 지원에 의해 IT 아웃소싱이 활성화되고 있으나, 이에 따른 의사결정을 위해서는 민간 부문과는 다른 요인들이 고려되어야 한다. 지금까지 많은 연구가 주로 위험요인, 조직요인, 도입목적 등의 단편적인 요인들을 제시하는 수준이었기 때문에 실질적인 의사 결정에 있어서는 활용성이 부족하므로, 본 연구에서는 실질적인 의사결정을 지원할수 있도록, 기존 연구들을 바탕으로 IT 아웃소싱 의사 결정의 전범위에 걸친 체계적인 의사결정 모형을 제시하고, 각 의사결정단계에서 우선적으로 고려해야 하는 요인들을 구체적으로 나타내고자, IT 아웃소싱의 의사결정 영역을 네가지로 분류하고, 고려해야 할 55개의 요인들을 문헌연구들을 통하여 도출하였다. 그리고, 11명의 전문가 집단을 구성하여 각 의사결정 영역별로 주요한 요인들을 도출하였다. 또한, 공기업 M사 사례를 통하여 IT 아웃소싱 의사결정 프로세스의 실례를 보여줌으로써 향후 활용방안을 제시하고 있다.

• 한국경영정보학회:학술대회논문집
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• 2008.06a
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• pp.816-826
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• 2008

IT 거버넌스(Governance)는 IT 관련 의사결정에 있어서 기업 내부 주체들의 권한과 책임, 의사결정 조직체계와 프로세스, 의사소통 방법, 의사결정 실현 체계, 조정과 통제, 그리고 의사결정에 대한 사후 평가 등을 통틀어 일컫는 말이다. IT가 기업 경영의 필수 인프라로 인식되고, 기업의 경쟁력 제고의 핵심 역량으로 자리잡으면서 IT 거버넌스의 중요성은 점차커지고 있다. 본 연구에서는 국내 주요 대기업들의 IT 거버넌스를 분석하였다. 4개의 국내 대기업들에 대한 심층 인터뷰를 바탕으로, 이들 기업들이 어떤 조직 체계와 과정, 의사소통 체계, 그리고 성과 측정 방법 등을 가지고 IT 관련 의사결정을 하는지를 살펴보았다. 국내 대기업들은 IT 서비스를 전문적으로 제공하는 IT 서비스 계열사를 이용하여 IT 기능을 아웃소싱하고 있었으며, IT 관련 최종 의사결정은 IT 전문 조직이 아닌 비즈니스를 담당하고 있는 경영자들이 하는 것으로 나타났다. 국내 대기업들의 IT 서비스에 대한 계약과 성과 측정은 서비스 수준 협약을 통해 이루어지고 있었으며, 국제적으로 인정되고 있는 프로젝트 관리 방법론과 균형성과 기록표 등도 널리 사용하고 있었다. 이러한 연구는 국내 대기업 내의 IT 서비스 전문 기업들의 미래 역할 정립과 정부 기관이나 공기업들의 IT 거버넌스 체계 확립에 있어서 벤치마킹 근거로 활용될 수 있다. 또한 국내 대기업들의 IT 거버넌스 체계의 효율성 등을 측정하기 위한 기초 자료로 이용될 수 있다.

• Korean Journal of Culture and Social Issue
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• v.23 no.4
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• pp.557-585
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• 2017

In this research, it was examined whether predicting the ripple effects of events influences decision-making difficulty. In addition, it was examined whether perceived accountability for decision-making results mediates the relation above. In Study 1, participants were presented with policy decision-making vignettes and were asked to report on the ripple effects of their policy decisions as well as on the difficulty of making the decision. Consistent with the hypothesis, the bigger the expected ripple effects, the greater difficulty participants felt in making policy decisions. In Study 2, ripple effect magnitudes were experimentally manipulated such that participants were led to predict big ripple effects in one condition and relatively small ripple effects in another condition. It was investigated whether participants predicting bigger ripple effects would perceive decision-making to be more difficult than participants predicting smaller ripple effects. Whether this relation would be mediated by perceived personal accountability for the results of decision-making was also examined. Consistent with expectations, it was found that in the moral domains of Harm/care, Fairness/reciprocity, and Ingroup/loyalty, participants predicting bigger ripple effects reported more difficult decision-making than their counterparts. The relation above was mediated by perceived personal accountability for decision-making results only in the domain of Ingroup/loyalty. In combination, these results showed that bigger predicted ripple effects contributed to greater decision-making difficulty. In addition, participants felt more responsible for the results of their decisions when predicting bigger ripple effects, which led them to feel greater decision-making difficulty in the domain of Ingroup/loyalty. The implications of these results and future directions for research are discussed.

• Journal of Digital Convergence
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• v.10 no.11
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• pp.175-183
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• 2012

The purpose of this study is to investigate the relationships between institutional pressures and IT investment decision making of management. To analyze the proposed model, we distribute survey questionnaires to mid-size IT firms and collect data from them. Furthermore, the proposed model was tested by PLS(Partial Least Squares) technique. We found that coercive pressure and normative pressure have an effect on mimetic pressure. However, these two pressures do not influence the IT investment decision making. The mimetic pressure has an effect on the IT investment decision making. The conclusions and implications are discussed.

• Journal of Korea Port Economic Association
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• v.40 no.1
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• pp.151-163
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• 2024

This study sought to confirm the impact of analytical methods and behavioral economic theory factors on decision-making when making chartering decisions in the dry bulk shipping market. This study on chartering decision-making model was began to verify why shipping companies do not make rational decision-making and behavior based on analytical methods such as freight prediction and process of alternative selection in the same market situation. To understand the chartering decision-making model, it is necessary to study the impact of behavioral economic theory such as heuristics, loss aversion, and herding behavior on chartering decision-making. Through AHP analysis, the importance of the method factors relied upon in chartering decision-making. The dependence of the top factors in chartering decision-making was in the following order: market factors, heuristics, internal factors, herding behavior, and loss aversion. Market factors, heuristics, and internal factors. As for detailed factors, spot freight index and empirical intuition were confirmed as the most important factors relied on when making decisions. It was confirmed that empirical intuition is more important than internal analysis, which is an analytical method. This study can be said to be meaningful in that it academically researched and proved the bounded rationality of humans, which cannot be fully rational, and sometimes relies on experience or psychological tendencies, by applying it to the chartering decision-making model in the dry bulk shipping market. It also suggests that in the dry bulk shipping market, which is uncertain and has a high risk of loss due to decision-making, the experience and insight of decision makers have a very important impact on the performance and business profits of the operation part of shipping companies. Even though chartering are a decision-making field that requires judgment and intuition based on heuristics, decision-makers need to be aware of this decision-making model in order to reduce repeated mistakes of deciding contrary to market situation. It also suggests that there is a need to internally research analytical methods and procedures that can complement heuristics such as empirical intuition.

• The KIPS Transactions:PartD
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• v.15D no.2
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• pp.285-296
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• 2008

The purpose of this paper is to examine the IT governance decision structure of the four strategic modes of IT strategy grid, and compare and analyze the differences in the IT governance decision structure of companies that produce superior results and those that produce inferior results. The survey method was used for this paper, and data from a total of 209 companies that were listed on the KOSDAQ 300 and KOSPI 200 were used for the analysis. The results show that each mode has a different IT governance decision structure from the others, and the IT governance decision structure of companies with high results and those with low results are also different for each mode. The results of this paper are significant in that, for each mode, it presents the decision structure framework for promoting desirable behavior of companies carrying out IT governance.

• Journal of Intelligence and Information Systems
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• v.14 no.2
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• pp.83-102
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• 2008

Ubiquitous computing requires timely supply of contextual information in order to upgrade decision quality. In this sense, this study is aimed at proposing a multi-dynamic decision support system for highly ill-structured problems. Especially, it is very important for decision makers in the ubiquitous computing to coordinate conflicts among local goals and global goal harmoniously. The proposed Multi-Dynamic Decision Support System (MDDSS) is basically composed of both central structure and distributed structure, in which central structure supports multi objects decision making and distributed structure supports individual decision making. Its hybrid architecture consists of decision processor, multi-agent controller and intelligent knowledge management processor. Decision processor provides decision support using contexts which come from individual agents. Multi-agent controller coordinates tension among multi agents to resolve conflicts among them. Meanwhile, intelligent knowledge management processor manages knowledge to support decision making such as rules, knowledge, cases and so on. To prove the validity of the proposed MDDSS, we applied it to an u-fulfillment problem system in which many kinds of decision makers exist trying to satisfy their own objectives, and timely adjustment of action strategy is required. Therefore, the u-fulfillment problem is a highly ill-structured problem. We proved its effectiveness with the aid of multi-agent simulation comprising 60 customers and 10 vehicles under three experimental modes.

• Korean Journal of Legislative Studies
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• v.15 no.1
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• pp.93-118
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• 2009

Why the National Assembly of Korea shows the serious disagreements or arguments in its operation? Regarding the question, this study pays attention to the perceptual differences among the parties for the structure of collective decision-making in the National Assembly of Korea. In addition, this study asserts that deepens the conflicts and the distrust in it. To be more specific, this study discusses about the optimal model for collective decision-making in legislative politics based on Buchanan and Tullock's opinion about it. And then, the trust in legislature forms the basis that makes it possible to respect the will of majority and protect the right of minority. The main reason that can't make the collective decision-making optimally in the National Assembly of Korea is to fight each other without the consensus about it. In this vein, making the collective decision-making optimally and recovering the trust among the parties are necessary to adopt a more consensual system. It will be helpful to prevent the use of noninstitutional means like the outside struggles or physical resistances in the National Assembly of Korea.

• Journal of Korea Technology Innovation Society
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• v.12 no.2
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• pp.335-359
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• 2009

This study explores the IT governance structures of the Korean conglomerates. It investigates IT organization structures, decision making frameworks and processes, communication channels, implementation mechanisms, and performance evaluation methods around IT activities of the Korean conglomerates by analyzing four different cases. The results show that all of the conglomerates have an IT service firms as one of their subsidiaries, and all the subsidiaries in the conglomerates outsource their IT divisions to the IT service firms, The client firms in the conglomerates operate IT strategy and planning teams to coordinate their IT activities with their outsourcing partners. The IT governance archetype of the Korean conglomerates is found to be "business monarchy" because the client firms mostly make IT decisions. However, the IT service firms provide the information of IT trends and solutions to their clients, so the IT governance archetype of input framework for IT decisions can be "IT monarchy". In addition, the conglomerate which has the more centralized IT governance architecture appears to prefer the more integrated implementation mechanisms for IT decisions. The results of this study are expected to be used as a benchmarking model for the organizations which try to develop an effective IT governance structure.

• The Journal of Information Technology
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• v.3 no.1
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• pp.45-59
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• 2000

This study evaluates empirically differences of performance in the two types of the decision-making. There exist implied noises in the information but consensus mitigates or clears noises from available information in the decision-making process. Decision-making peformance depends on information quality. Therefore the higher quality information are used, the more peformance decision-makers have. The results of this study shows that group decision-making is better than individual in decision making performance. It indicates that consensus mitigates or clears noises in the information. As variant individuals, however, have different performance, individual decision-makers also have different ability in analyzing information.