• Agribusiness and Information Management
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• 제5권1호
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• pp.31-41
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• 2013

The research assesses the impact of a digital procurement (e-purjee) system for sugarcane growers in Bangladesh. The system itself is simple, transmitting purchase orders to local farmers via SMS text notification. It replaces a traditional paper-based system fraught with low reliability and delivery delays. Applying expected value theory, and using decision tree representations to depict growers' decision-making complexity in an information-asymmetric environment, we compute outcomes for the strategies and sub-strategies of ICT vs. traditional paper-based order management from the sugarcane growers' perspective. The study results show that the digital procurement system outperforms the paper-based system by tangibly reducing growers' economic losses. The digital system also appears to benefit growers non-monetarily, because of reduced uncertainty and a higher level of perceived fairness. Sugarcane growers appear to value the non-monetary benefits even higher than the economic advantages of the e-purjee system.

• 한국정보통신학회논문지
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• 제25권6호
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• pp.841-848
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• 2021

본 연구의 목적은 스마트폰을 사용하는 사용자들이 의사결정에 어떤 요소를 통해 영향을 미치는지 탐구하는 것이었다. 본 연구는 친밀감/개인 연결성, 사용/의존성, 친숙함/전문성, 효능/효과, 자아정체성, 제어 등을 독립변수로 설정하고 의사결정은 종속 변수로 설정하였다. 본 연구에서는 스마트폰 사용자 200명을 설문지를 통해 수집·분석하였으며, 변수 간 영향을 파악하기 위해 WarpPLS를 사용하였다. 이 연구는 사용자의 심리적인 의사결정이 스마트 기기에 어떤 요인으로 영향을 미치며, 이를 통해 미래 산업의 발전과 스마트 기기를 사용하는 사용자들의 특성과 수용성을 파악할 수 있다.

• 대한토목학회논문집
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• 제31권6B호
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• pp.551-563
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• 2011

수자원사업은 대규모의 예산이 투입된다. 따라서 수자원사업은 합리적이고 신뢰성 있는 의사결정이 필요한데 그동안 주로 경제성분석에 의존하여 왔다. 본 연구목적은 경제성분석위주의 기존 의사결정이 아닌, 사업의 필요성과 투자의 타당성을 다양한 각도로 평가할 수 있는 수자원사업 대안선정과 투자우선순위결정을 위한 다기준의사결정방법을 도출하는 것이다. 본 논문은 경제성 분석, 정책적 분석, 취약성 분석과 각각의 하위평가항목으로 평가기준을 구성하였다. 또한, 전문가 설문을 통한 사전 가중치를 제시함으로써, 일관성 있는 평가가 이루어지도록 하였다. 그리고 전문가 설문을 통해 평가항목의 속성별로 위험성향을 고려한 효용함수를 도출하였다. 종합평가점수는 평가항목별 가중치와 속성별 효용점수로 산정된다. 적용결과, 평가기준은 취약성 기준에 큰 영향을 받는 것으로 나타났다. 본 연구는 수자원사업에 대한 효율성과 취약지역에 대한 형평성을 제고하는데 기여할 수 있을 것으로 판단된다.

• 한국태양에너지학회 논문집
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• 제34권4호
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• pp.23-29
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• 2014

Recently, in power system studies, Multiple Energy Carriers (MECs) such as Energy Hub has been broadly utilized in power system planners and operators. Particularly, Energy Hub performs one of the most important role as the intermediate in implementing the MECs. However, it still needs to be put under examination in both modeling and operating concerns. For instance, a probabilistic optimization model is treated by a robust global optimization technique such as multi-agent genetic algorithm (MAGA) which can support the online economic dispatch of MECs. MAGA also reduces the inevitable uncertainty caused by the integration of selected input energy carriers. However, MAGA only considers current state of the integration of selected input energy carriers in conjunctive with the condition of smart grid environments for decision making in Energy Hub. Thus, in this paper, we propose an immune algorithm based Multiple Energy Carriers System which can adopt the learning process in order to make a self decision making in Energy Hub. In particular, the proposed immune algorithm considers the previous state, the current state, and the future state of the selected input energy carriers in order to predict the next decision making of Energy Hub based on the probabilistic optimization model. The below figure shows the proposed immune algorithm based Multiple Energy Carriers System. Finally, we will compare the online economic dispatch of MECs of two algorithms such as MAGA and immune algorithm based MECs by using Real Time Digital Simulator (RTDS).

• KEPCO Journal on Electric Power and Energy
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• 제1권1호
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• pp.67-71
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• 2015

The concept known as Vehicle-to-Grid (V2G) is to provide power to help balance loads by charging at night when demand is low and sending power to the grid when demand is high. Therefore, it is important to model the cost-benefit characteristics of Electric vehicle(EV)'s operation considering the negawatt market in real time. This paper proposes a methodology to formulate the various costs and economic benefits for sending the EV's power back to the grid, including a concept of inconvenience costs caused by operating the EV as a battery. This paper also introduces the general decision-making process based on the cost-benefit analysis in order to simulate the reasonable participation of V2G service. In the case study, it is confirmed by two-case simulations that the proposed approach is useful to help EV owners' decision-making. In the future, it is expected that the proposed methodology can be used as a decision-making guideline to help prepare the EV' power transmission.

• The Journal of Asian Finance, Economics and Business
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• 제9권6호
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• pp.33-44
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• 2022

Women entrepreneurs play a vital role in employment creation, economic development, and growth. Women entrepreneurship is deep-rooted in the social and cultural norms and values of society. Women's entrepreneurship contribution is still invisible and needs to be properly investigated. The current research study explores "how institutions affect women's entrepreneurial performance in Pakistan" by using institutional and social cognitive theories. Focusing on the Formal and informal institutions, this research examines how institutions are affecting women's entrepreneurial performance by taking the mediating role of women's entrepreneurial self-efficacy and ethical decision making. A 7-point Likert scale research questionnaire is used to collect primary data. Data on active entrepreneurs are collected from the Peshawar, Mardan, and Abbottabad divisions of KPK's Women Chambers of Commerce. The data is empirically tested through the path analysis technique of structural equation modeling (SEM) through SMART PLS 3. The results indicated that women's entrepreneurial self-efficacy and ethical decision-making strongly mediate both institutions and significantly affect women's entrepreneurial performance. The study suggests that government and concerned departments should pay due attention to determinants like informal institutions and social constraints to boost women's entrepreneurial performance.

• 한국항해항만학회:학술대회논문집
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• 한국항해항만학회 2023년도 춘계학술대회
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• pp.194-195
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• 2023

최근 자율운항선박 기술은 해양 분야에서 선박의 안전과 효율, 경제성을 위한 핵심기술로 주목받고 있다. 육상에서의 원격제어를 위해 항해사의 상황인식(Situation Awareness, SA)에 의한 의사결정은 선박 충돌회피에 중요하게 작용할 것으로 예상된다. 이 연구에서는 충돌상황에 대한 항해사의 의사결정 시간을 측정하였다.

• KDI Journal of Economic Policy
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• 제42권4호
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• pp.91-116
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• 2020

As a project appraisal tool, the preliminary feasibility study (PFS) has contributed to enhancing the efficiency of public investment decision-making in the Republic of Korea over the last two decades. To overcome the limitations of the efficiency-oriented cost-benefit analysis, the PFS accommodates equity concerns among regions, namely balanced regional development (BRD) analysis. This study attempts to gauge the contributions of BRD analysis to PFS results. Specifically, it addresses how effectively policy efforts to promote decision-making have been implemented in the PFS stage while also considering the balance between equity and efficiency in terms of the trade-off between them, the degree to which they influence the results, and whether the consideration of equity is in fact actually reflected in seriously underdeveloped regions as intended. The study finds that the PFS results over the last two decades have been largely in line with the background and policy objectives. Based on the findings of the study, needs for institutional improvement are suggested, including enhancements in the analysis of regional economic ripple effects and taking into account the psychological factors pertaining to the evaluators in the overall judgment.

• 한국경영과학회지
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• 제28권1호
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• pp.115-129
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• 2003

This paper Is concerned with a new techno-economic model Ing of ATM based h19h-speed networks. Coupled with advances of technology, the rapid development of new telecommunication services significantly increases the magnitude of risk in making an Investment decision. Naturally, the success of techno-economic modeling depends on how effectively we manage underlying risk factors such as cost and technology To deal with risk factors, we need to rely on modern decision and risk analysis while Implementing mathematical optimization for solving a complex capacity expansion problem of telecommunication systems during the planning period. We provide a case study that will enhance our understanding of the techno-economic analysis for emerging telecommunication systems.

• 벤처창업연구
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• 제19권1호
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• pp.1-21
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• 2024

최근 고금리, 경기둔화로 인한 벤처투자 위축이 전 세계적으로 진행 중이며, 우리나라도 예외가 아니다. M&A와 상장시장의 침체, 경기불확실성 증가, 기업 파산의 여파로 인한 투자심리 위축으로 벤처기업의 자금조달에 많은 어려움을 겪고 있다. 이렇게 바뀐 경제 환경에서 벤처캐피탈의 투자의사결정 요인도 많은 변화를 나타내고 있다. 하지만, 벤처캐피탈의 투자의사결정에 대한 연구는 일반적인 경제 환경에 초점을 맞추고 있다. 본 연구는 경제 후퇴와 호황에 따라 벤처캐피탈의 투자의사결정 요인이 어떻게 변화하는지를 살펴보았다. 이를 위해 경제 불황과 호황을 모두 겪은 적극적인 벤처 투자자들을 인터뷰하여 벤처캐피탈의 투자의사결정 요인: 1)창업자의 개인적 특성, 2)창업자의 경험, 3) 제품/서비스, 4) 시장, 5) 재무상황, 6) 투자조건, 7) 벤처캐피탈 공동투자가 어떻게 변화하는지를 비교하여 연구하였다. 연구결과, 투자의사결정 요인인 창업자의 개인적 특성, 경험, 제품/서비스는 경제 불황기에 더 높은 중요도를 가졌다. 시장 요인은 경제 호황기에 약간 높은 수준의 중요도를 나타냈다. 재무적 상황과 투자조건 요인은 경제 불황기에 경제 호황기 대비 중요도가 급격히 상승하였다. 마지막으로 벤처캐피탈 공동 투자는 경제 불황과 호황기에 많은 차이를 보이지 않았다. 본 연구는 최근 어려워진 벤처투자 환경에서 벤처캐피탈의 투자의사결정 요인을 보다 심도 있게 이해함으로써, 스타트업의 자금 조달을 돕고, 어려운 시장에서 생존하는 방안 마련에 도움을 준다.