• International Journal of Computer Science & Network Security
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• v.23 no.6
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• pp.49-58
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• 2023

Renewable energy is not a new terminology. One of the fastest growing renewable energies is solar energy. The implementation of solar energy provides several advantages including the reduction of some of the environmental risks of fossil fuel consumption. This research elaborated the importance of the adaption of solar energy by developing a spatial decision support system (SDSS), while the Residential Solar Energy Adoption (RSEA) is an instantiation artifact in the form of an SDSS. As a GIS web-based application, RSEA allows stakeholders (e.g., utility companies, policymakers, service providers homeowners, and researchers) to navigate through locations on a map interactively. The maps highlight locations with high and low solar energy adoption potential that enables decision-makers (e.g., policymakers, solar firms, utility companies, and nonprofit organizations) to make decisions. A combined qualitative and quantitative methodological approach was used to evaluate the application's usability and user experience, and results affirmed the ability of the factors of utility, usefulness, and a positive user experience of the residential solar energy adoption of spatial decision support system (RSEA-SDSS). RSEA-SDSS in improving the decision-making process for potential various stakeholders, in utility, solar installations, policy making, and non-profit renewable energy domains.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.15 no.1
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• pp.90-113
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• 2021

Electronic Records Management System (ERMS) is a computer program or set of applications that is utilized for keeping up to date records along with their storage. ERMS has been extensively utilized for enhancing the performance of academic institutions. The system assists in the planning and decision-making processes, which in turn enhances the competencies. However, although ERMS is significant in supporting the process of decision-making, the majority of organizations have failed to take an initiative to implement it, taking into account that are some implementing it without an appropriate framework, and thus resulted in the practice which does not meet the accepted standard. Therefore, this study identifies the factors influencing the adoption of ERMS among employees of HLI in Yemen and the role of such adoption in the decision-making process, using the Unified Theory of Acceptance and Use of Technology (UTAUT) along with Technology, Organization and Environment (TOE) as the underpinning theories. The study conducts a cross-sectional survey with a questionnaire as the technique for data collection, distributed to 364 participants in various Yemeni public Higher Learning Institutions (HLI). Using AMOS as a statistical method, the findings revealed there are significant and positive relationships between technology factors (effort expectancy, performance expectancy, IT infrastructure and security), organizational factors (top management support, financial support, training, and policy),environmental factors (competitiveness pressure, facilitating conditions and trust) and behavioral intention to adopt ERMS, which in return has a significant relationship with the process of decision-making in HLI. The study also presents a variety of theoretical and empirical contributions that enrich the body of knowledge in the field of technology adoption and the electronic record's domain.

• Journal of Family Resource Management and Policy Review
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• v.11 no.2
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• pp.1-19
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• 2007

The purpose of this study was to analyze the affecting factors on employed mens' retirement and reemployment decision making. The focus was on the process of employed mens' decision on retirement and their reemployment decision after retirement from present job. The major findings were as follows ; First, the employed men who had a retirement plan were having more household income, more household net asset, more savings and investment for elderly life, and more positive attitude toward retirement. Second, the major factors affecting on having retirement plan or not were employed mens' age, household income, expected income after retirement, savings and investment for elderly life, job, and attitude toward retirement. Third, the major affecting factors on expected retirement age were employed mens' age, health status, job security, and attitude toward retirement. Forth, the employed mens' reemployment decision was affected from their household income, expected income after retirement, pension ownership, and attitude toward retirement. From the findings, it can be concluded that the employed mens' age, economic status, and attitude toward retirement played a important role in the process of retirement and reemployment decision making.

• Asia pacific journal of information systems
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• v.26 no.2
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• pp.290-298
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• 2016

Human cognition and decision-making related to information systems (IS) is a major area of interest in IS research. Among these areas, cognitive bias rooted in behavioral economics is gaining considerable attention from researchers. In the present study, we identify the role of cognitive biases and discuss how they shape the information security behavior. We also seek research opportunities to provide directions and implications for future research.

• Journal of the military operations research society of Korea
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• v.16 no.1
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• pp.18-34
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• 1990

In light of the recent developments of transitory nature, it is likely that national defense decision-making will be more difficult to make for years to come. In other words, sudden changes in security environment would call into question the basic assumptions on which we have built our national defense planning and increase the number of the uncertain factors in the decision-making process; the subdivision and ramification of national defense management would increase the factors for decision-making and complicate even further the mutual interactions among these factors; the accelerated pace of sophistication and diversification of weapon systems and military technology would increase the risk of failure and system costs geometrically; and the reduced level of acceptance among the people on the sanctification of national defense in proportion to the rapid progress toward a more democratic and industrial society would engender an increased criticism or checking role by the National Assembly or by the mass media. As the changes in national defense environment and conditions create an innumerable number of new tasks, this paper intends to suggest a few core policy measures to improve the quality of national defense decision-making. More specifically, it proposes to 1) eradicate entirely the bureaucratic behavior and tendencies; 2) utilize actively the brain staff for quality assurance of decision-making; 3) and introduce and apply as a whole set, a total system, or an incorporated pack age the PPBEES(Planning-Programming-Budgeting-Executing-Evaluating-System)/LCMM (Life-Cycle Management Model for System Acquision), the OR/SA(Operations Research/Systems Analysis), and DMIS (Defense Management Information System).

• International Journal of Internet, Broadcasting and Communication
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• v.16 no.1
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• pp.203-214
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• 2024

This study seeks to provide implications for domestic-related policies through exploratory analysis research to support AI-based policy decision-making. The following should be considered when establishing an AI-based decision-making model in Korea. First, we need to understand the impact that the use of AI will have on policy and the service sector. The positive and negative impacts of AI use need to be better understood, guided by a public value perspective, and take into account the existence of different levels of governance and interests across public policy and service sectors. Second, reliability is essential for implementing innovative AI systems. In most organizations today, comprehensive AI model frameworks to enable and operationalize trust, accountability, and transparency are often insufficient or absent, with limited access to effective guidance, key practices, or government regulations. Third, the AI system is accountable. The OECD AI Principles set out five value-based principles for responsible management of trustworthy AI: inclusive growth, sustainable development and wellbeing, human-centered values and fairness values and fairness, transparency and explainability, robustness, security and safety, and accountability. Based on this, we need to build an AI-based decision-making system in Korea, and efforts should be made to build a system that can support policies by reflecting this. The limiting factor of this study is that it is an exploratory study of existing research data, and we would like to suggest future research plans by collecting opinions from experts in related fields. The expected effect of this study is analytical research on artificial intelligence-based decision-making systems, which will contribute to policy establishment and research in related fields.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.28 no.3
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• pp.743-763
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• 2018

It has been 10 years since the concept of cloud system has emerged. Despite the fact that the cost-effectiveness and security of cloud systems has been proven, financial companies are reluctant to adopt cloud systems. Financial institutions are reluctant to adopt the cloud system because of the strong regulation of financial authorities in relation to the leakage of customer information However, more important reason why financial institutions hesitate to introduce cloud systems is the lack of direction and standards for the introduction of cloud systems by financial institutions. This study examines the legal and institutional constraints on the introduction of cloud systems in financial institutions and suggests decision models for determining whether cloud systems can be applied and how cloud systems are configured when financial institutions construct IT systems. We hope that this research will be helpful for establishing direction of cloud system introduction of many financial institutions.

• Journal of Information Technology Applications and Management
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• v.24 no.4
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• pp.117-131
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• 2017

We question whether Korean IT managers consider real options to reduce risks of cloud service implementation. This work investigates the impact of technology risk, relationship risk, economy risk, security risk upon the intention of IT managers to utilize abandon & expansion options. We also analyze moderation effect of centralization level of decision making between these risks and the utilization of real options. Using the survey questionnaire, we empirically find that technology risk, relationship risk and security risk have significant effect upon abandon option and technology risk, relationship risk, and economy upon expansion option. We also find the evidence that centralization level moderates some risks and the direction of moderation effect is to offset the effect of risks on intention to utilize real options.

• Convergence Security Journal
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• v.8 no.4
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• pp.57-63
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• 2008

The purpose of the research is to intended to help Korean military officers establish information system security structure. Information security is a critical issue for digital information warfare. Advanced countries such as U.S. and Japan have developed a new military security strategy for future information warfare. The readiness of Korean Army, however, is far behind those countries. This paper provides a systematic information security structure for Korean Army, which is a result of the research through a group decision making process.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.26 no.1
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• pp.259-273
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• 2016

After realizing through the three large-scale data leakage incidents that intentional or accidental insider jobs are more serious than external intrusions, financial companies in Korea have been taking measures to prevent data leakage from occuring again. But, the IT system architecture reflecting the domestic financial environment is highly complicated and thereby difficult to grasp. It is obvious that despite administrative, physical, and technical controls, insider threats are likely to cause personal data leakage. In this paper, we present a process that based on metadata defines and manages personally identifiable attribute data, and that through inter-table integration identifies personal information broadly and controls access. This process is to decrease the likelihood of violating compliance outlined by the financial supervisory authority, and to reinforce internal controls. We derive and verify a decision-making model that reflects the proposed process.