• 제목/요약/키워드: Outlook Model

검색결과 99건 처리시간 0.026초

기초연구지원사업의 재정소요 전망 도출을 위한 시계열 모형 수립 연구 (A Study on Establishment of Time Series Model for Deriving Financial Outlook of Basic Research Support Programs)

  • 윤수진;이상경;염경환;신애리
    • 기술혁신연구
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    • 제27권4호
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    • pp.21-48
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    • 2019
  • 기초연구 분야는 정부의 적극적인 지원으로 양적 확대가 큰 폭으로 이루어지는 반면, 체계적인 투자계획이나 데이터에 기반한 재정소요를 제시하는 연구 및 정책자료가 전무하여 관련 연구가 요구되는 시점이다. 이에 본 연구는 시계열 예측모형을 활용하여 기초연구지원사업의 향후 재정소요를 전망하였다. 기초연구분야의 특성을 포함한 다양한 요인들을 종합적으로 고려하기 위하여 시간에 따른 단일 종속변수의 값을 예측하는 ARIMA 모형이 아닌, 다변수의 영향을 반영할 수 있는 ARIMAX 모형을 선택하였다. 모형 적합성 판단을 위해 ARIMAX 모형과 ARIMA 모형의 예측값을 비교한 결과 ARIMAX 모형에서 예측오차율이 개선됨을 확인하였다. ARIMAX 모형에 기반하여 2017년에서 2021년까지 5년 간의 기초연구지원사업 재정소요를 전망하였다. 본 연구는 기초연구지원사업의 재정소요를 통계적 접근방법인 시계열모형을 적용해 전망한 시범적 연구를 수행하였다는 점과, 단변량이 아닌 다변량을 고려하여 예측력을 개선했다는 점에서 의의를 지닌다. 또한 현 정부 국정과제인 '기초연구 예산 2배 확대' 등 기초연구 투자의 중요성이 꾸준히 강조되는 정책기조를 고려할 때 향후 기초연구 투자전략 수립 시 참고자료로 활용 될 수 있다.

양식 넙치의 가격변동 및 예측에 관한 연구 (A Study on the Price Fluctuation and Forecasting of Aquacultural Flatfish in Korea)

  • 옥영수;김상태;고봉현
    • 수산경영론집
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    • 제38권2호
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    • pp.41-62
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    • 2007
  • The Fish aquacultural Industry has been developed rapidly since 1990s in Korea. The total production of fish aquaculture was 5,000ton in the beginning of 1990s, but it was an excess of 80,000ton in 2005. In the beginning of 1990s, the percentage of flatfish yield was 80% of the fish aquaculture in the respect of production. And it has been maintained 50% level in 2005. In this point of view, flatfish aquaculture played the role of leader in the development of fish aquaculture. Rapid increasing of production was not only caused to decreasing in price basically, but also it threatened the management of producer into insecure price for aquacultural flatfish. Therefore, it needs the policy for stabilizing in price, but it is difficult to choose the method because the basic study was not accomplished plentifully. This study analyzed about price structure of aquacultural flatfish. A period of analysis was from January 2000 to December 2005, and a data was used monthly data for price. The principal result of this study is substantially as follows. 1) The price of producing and consuming district is closely connected. 2) A gap between producing district price and consuming district price is decreasing recently, It seems to be correlated with outlook business of aquacultural flatfish. 3) Trend line of the price was declining until 2002, but it turned up after that. The other side, circulated fluctuation was being showed typically. 4) The circle of circulated fluctuation was growing longer, so it seems that the producer was doing a sensible productive activity to cope with changing price. As a result, government's policy needs to be turned into price policy from policy of increased production for aquacultural flatfish. It seems that the best policy is price stabilization polices. And also, government needs to invest in outlook business for aquaculture constantly.

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유기농 제품 친숙성, 인식된 가치 및 구매 의도 사이의 관계 : 경험적 연구 (The Relationship between Organic Products Familiarity, Perceived Value, and Purchase Intention : An Empirical Study)

  • 기리쉬
    • 한국유기농업학회지
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    • 제26권2호
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    • pp.203-216
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    • 2018
  • Product familiarity is vital to assess the purchase intention of consumers. In this study, a conceptual model was proposed to investigate the relationship among organic products familiarity, perceived value (measured by quality, emotional, price and social dimensions), and the purchase intention of students. The model was empirically tested using questionnaire survey data collected from 235 university students. The results reveal that organic products familiarity is positively associated with quality, emotional value, price value and social value. On the other hand, emotional value, price value and social value is also positively associated with purchase intention whereas quality shows insignificant relationship with purchase intention. Overall, the result shows students have positive outlook about their intention to purchase organic products.

자막정보를 이용한 새로운 스마트TV 사업 모형설계 (The Design of Smart TV Business Model Using subtitle Information)

  • 나인섭;김수형;나형율
    • 스마트미디어저널
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    • 제1권4호
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    • pp.35-43
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    • 2012
  • 이 논문에서는 스마트TV 현황을 살펴보고, 바뀐 스마트 생태계에서 자막정보를 이용한 새로운 스마트 TV 사업 모형을 제시하였다. 현재 우리사회는 스마트 TV에 대한 긍정적인 견해와 유보적 견해가 있음에도 불구하고 스마트 TV로의 큰 변화는 우리 시대에 거부 할 수 없는 큰 물결이며, 점진적으로 스마트 TV를 중심으로 모든 사회가 바뀌어나갈 수밖에 없다. 따라서 이 논문에서는 양방향, 능동적, 소비자 중심의 스마트TV환경에서 자막정보를 이용한 새로운 스마트 TV 사업 모형을 설계하였다. 끝으로, 제안된 자막정보를 이용한 스마트 TV 사업모형은 한류 시대에 국가 간 정보의 격차를 줄이고 한류를 확산하는 데 일익 할 것이 기대된다.

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미래 직업세계의 변화전망과 학교상담의 방향 (Outlook of Changes in Future Vocations and Direction of School Counseling)

  • 김봉환
    • 실천공학교육논문지
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    • 제9권2호
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    • pp.175-182
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    • 2017
  • 학교상담은 우리나라 상담의 모태라고 할 수 있다. 우리나라에서 처음 상담이 시작된 곳은 학교 장면이다. 학교에 재학하고 있는 청소년들은 미래를 준비하면서 현재를 살아가는 사람들이다. 이들이 미래에 제대로 기능하도록 준비시키기 위해서는 학교상담전문가들의 역할이 매우 중요하다. 학교상담전문가들은 청소년들이 그들 삶을 잘 준비하도록 조력하는 일도 맡고 있다. 이러한 일을 잘 수행하기 위해서는 미래의 변화를 조망하고 변화된 미래에 잘 적응하는 데 필요한 역량이 무엇인가를 알고 이에 맞게 대처해 나가야 한다고 본다. 본 논문에서는 변화해 가는 환경에서 학교상담은 어떻게 대처해야 하는지에 대해 살펴볼 것이다. 우선 미래사회의 변화 전망, 미래 직업 세계의 변화 전망, 미래사회의 인재상에 대해 논의하고, 이러한 준비를 조력하기 위하여 학교상담은 어떻게 이루어져야 하고 학교상담전문가들은 어떤 역할을 해야 하는지 알아보고자 한다.

LEAP 모델을 이용한 대학의 온실가스 배출량 및 감축잠재량 분석 (Estimation of GHG emission and potential reduction on the campus by LEAP Model)

  • 우정호;최경식
    • 환경영향평가
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    • 제21권3호
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    • pp.409-415
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    • 2012
  • Post-kyoto regime has been discussing with the GHG reduction commitment. GHG energy target management system also has been applied for the domestic measures in the country. Universities are major emission sources for GHG. It is very important for campus to built the GHG inventory system and estimate the potential GHG emission reduction. In general, GHG inventory on the campus was taken by the IPCC guidance with the classification of scope 1, 2, and 3. Electricity was the highest portion of GHG emission on the campus as 5,053.90 $tonsCO_2eq/yr$ in 2009. Manufacturing sector was the second high emission and meant GHG in laboratory. Potential GHG reduction was planned by several assumptions such as installation of occupancy sensor, exchanging LED lamp and photovoltaic power generation. These reduction scenarios was simulated by LEAP model. In 2020, outlook of GHG emission was estimated by 17,435.98 tons of $CO_2$ without any plans of reduction. If the reduction scenarios was applied in 2020, GHG emission would be 16,507.60 tons of $CO_2$ as 5.3% potential reduction.

Examining the Adoption of AI based Banking Chatbots: A Task Technology Fit and Network Externalities Perspective

  • Eden Samuel Parthiban;Mohd. Adil
    • Asia pacific journal of information systems
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    • 제33권3호
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    • pp.652-676
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    • 2023
  • The objective of this study is to provide a deeper understanding of the factors that lead to the development and adoption of AI-based chatbots. We analyze the structural relationship between the organizational (externalities), systematic (fit), and the consumer-related (psychological) factors and their role in the adoption of AI-based chatbots. Founded on the theories of task-technology fit and network externalities, we present a conceptual model overlooking common perception-based theories (e.g., Technology Acceptance Model). We collected 380 responses from Indian banking consumers to test the model using the PLS-SEM method. Interestingly, the findings present a positive impact of all factors on consumers' intention to adopt AI-based chatbots. However, the interplays between these factors provide a mixed perspective for literature. Apart from employing a combination of factors that have been used to study technology adoption, our study explores the importance of externalities and their relationship with fit factors, a unique outlook often overlooked by prior research. Moreover, we offer a clear understanding of latent variables such as trust, and the intricacies of their interplays in a novel context. Thereby, the study offers implications for literature and practice, followed by future research directions.

GIS 기반 CA-Markov 기법을 이용한 토지피복 변화에 따른 미래 유출량 전망 분석 (Outlook Analysis of Future Discharge According to Land Cover Change Using CA-Markov Technique Based on GIS)

  • 박진혁;노선희;이근상
    • 한국지리정보학회지
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    • 제16권3호
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    • pp.25-39
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    • 2013
  • 본 연구에서는 금강유역 내 용담댐 및 대청댐을 대상으로 SWAT 모형을 이용하여 미래 유출량 전망에 지배적인 인자로 작용하는 토지피복 변화에 따른 유출량 변화를 분석하였다. Landsat TM 위성영상을 이용하여 과거 1990년 및 1995년 토지피복 자료를 관측 자료로 사용하여 CA-Markov 연쇄기법에 의한 2000년 토지피복도를 모의하여 비교 검증을 한 후 향후 2050년과 2100년의 토지피복변화를 모의하였다. 이를 SWAT모형의 입력 자료로 이용하여 A1B 시나리오하에서 토지피복 변화 전 후의 유출량을 비교 분석 하였다. 금강유역에 대한 토지피복에 대한 경년별 추세 분석결과 산림과 논은 꾸준히 감소하고 주거지, 나지, 초지 등은 증가하는 경향을 나타내었다. 미래 토지피복의 변화를 고려한 유출 변화 분석결과, 토지피복의 변화를 고려한 유출량이 토지피복의 변화를 고려하지 않았을 때보다 전체적으로 1.83~2.87%로 소폭 증가하는 것으로 나타났다.

Marketing for Real and Virtual Museums: A marketing Model to Explain Visitor Behavior in Real Museums and an Outlook on its Applicability to Virtual Museums

  • Terlutter, Ralf;Diehl, Sandra
    • 마케팅과학연구
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    • 제10권
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    • pp.45-70
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    • 2002
  • The purpose of this study is to obtain more insight into the explanation and prognosis of consumer behavior in real and virtual museums. The analysis focuses on the influence of the museum environment on the museum patrons (rather than on the influence of the art objects). On the basis of the emotional approach to environmental psychology by Mehrabian and Russell (1974), a behavior model has been developed for museums. The model, which is based on the emotional variables pleasure, arousal and dominance (PAD), is also enhanced by cognitive variabies (learning attractiveness, education standard and information demand). The enhancement of the classical model was necessary because cognitive variables play a major role in cultural institutions such as museums: One important objective of museums is the communication of cultural knowledge to visitors. The model is tested empirically using structural equation modeling. 301 visitors were interviewed individually. Two different museum environments were represented using visual stimuli. The theoretical model for museums can be proved empirically. The degree to which the model fits the empirical data was extensively tested. The model showed high compatibility with the data and could be accepted. The study proves that a model can be developed, which explains visitor behavior in museums. The model shows museum designers how museums should be designed to be both emotionally appealing and a learning environment. Based on empirical studies in virtual stores on the Internet, it is discussed whether the research findings in these environments may be applied to virtual museum environments. In order to create an emotionally appealing virtual museum, it is recommended that one uses a 3-dimensional representation to offer various possibilities for interaction and to create a multi-sensual environment that appears highly realistic.

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BASS 확산 모형을 이용한 국내 자동차 외장 램프 LED 수요예측 분석 (Domestic Automotive Exterior Lamp-LEDs Demand and Forecasting using BASS Diffusion Model)

  • 이재흔
    • 품질경영학회지
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    • 제50권3호
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    • pp.349-371
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    • 2022
  • Purpose: Compared to the rapid growth rate of the domestic automotive LED industry so far, the predictive analysis method for demand forecasting or market outlook was insufficient. Accordingly, product characteristics are analyzed through the life trend of LEDs for automotive exterior lamps and the relative strengths of p and q using the Bass model. Also, future demands are predicted. Methods: We used sales data of a leading company in domestic market of automotive LEDs. Considering the autocorrelation error term of this data, parameters m, p, and q were estimated through the modified estimation method of OLS and the NLS(Nonlinear Least Squares) method, and the optimal method was selected by comparing prediction error performance such as RMSE. Future annual demands and cumulative demands were predicted through the growth curve obtained from Bass-NLS model. In addition, various nonlinear growth curve models were applied to the data to compare the Bass-NLS model with potential market demand, and an optimal model was derived. Results: From the analysis, the parameter estimation results by Bass-NLS obtained m=1338.13, p=0.0026, q=0.3003. If the current trend continues, domestic automotive LED market is predicted to reach its maximum peak in 2021 and the maximum demand is $102.23M. Potential market demand was $1338.13M. In the nonlinear growth curve model analysis, the Gompertz model was selected as the optimal model, and the potential market size was $2864.018M. Conclusion: It is expected that the Bass-NLS method will be applied to LED sales data for automotive to find out the characteristics of the relative strength of q/p of products and to be used to predict current demand and future cumulative demand.