• Title/Summary/Keyword: Market diffusion

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Demand Forecasting for New Service using the Diffusion Model (확산모형 (Diffusion Model)을 이용한 새로운 서비스 수요예측)

  • Kim, Gyeong-Taek;Park, Se-Gwon
    • Journal of Korean Institute of Industrial Engineers
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    • v.13 no.1
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    • pp.25-29
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    • 1987
  • When the historical data are available, the diffusion model, which describes the time pattern of the adoption process of a new product or technology or service, has been used as a reasonable predictor in the telecommunication demand forecasting area. This paper shows that the diffusion model is applicable when the historical data are not available. The model used is in the form of a "logistic" function. The parameters of the function are estimated using the questionnaire and the historical data of reference products. From the questionnaire, an initial and an upper limit long run value of the market share are estimated, and the diffusion time to the upper limit value is determined by the relation between the investment and the utility.

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A Study on the Agent-based Model of Demand Diffusion for the Market Share of New Technology Product (신기술제품의 시장점유율 예측을 위한 행위자 기반 수요확산모형에 대한 연구)

  • Won, Dong Kyu;Lim, Jong Yeon
    • Journal of Korea Technology Innovation Society
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    • v.14 no.spc
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    • pp.1256-1284
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    • 2011
  • Although a existing consumer market have been studied in depth in the new technology product market, the market research on the overall level of value chain to consist of consumers, distributors, and manufacturers is weak. Therefore, in this paper consumers' purchase of new technology products were simulated and analyzed by a consumer selection model and a multi-agent model, which consist of consumers, distributors and manufacturers. Our research was focused on customer preference study in new technology product market by using conjoint analysis and discrete choice model. And changes in consumer behavior based on adoption of new technologies and offering of incentives were analyzed by ABM (Agent-based Model). In conclusion, the market share of technology products was risen when provision of incentives corresponding to inventory level and demand for new technology products occurred at the same time.

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The Study of Segmentation of Internet Fashion Information Users and Diffusion Outcomes: Application of a Use-Diffusion Model (사용확산에 따른 인터넷 패션정보 사용자 시장세분 및 확산성과 연구)

  • Song, Ki Eun;Hwang, Sun Jin;Kim, Yunsik
    • Journal of the Korean Society of Clothing and Textiles
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    • v.37 no.6
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    • pp.725-736
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    • 2013
  • This study segments information users according to depth and variety of use diffusion in order to differentiate between the influence of fashion information spread and diffusions from each segmented group. Data were collected from a fashion community to perform a social network analysis that used UCINET 6.0. Members completed the survey materials and the network materials were utilized in the analysis to test the hypothesis. The segmented groups of information users determined the study results according to use diffusion and the variables that affect them. The variables affecting information diffusion outcomes indicate different significant influence factors on each segmented market. Information variety and complexity represents elevated information reproductions and verbal acceptances from information diffusion outcomes.

A study on Industries's Leading at the Stock Market in Korea : Gradual Diffusion of Information and Cross-Asset Return Predictability (산업의 주식시장 선행성에 관한 실증분석 : 정보의 점진적 확산과 자산간 수익률 예측 가능성)

  • Lee, Hae-Young;Kim, Jong-Kwon
    • The Korean Journal of Financial Management
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    • v.25 no.1
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    • pp.23-49
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    • 2008
  • We test the hypothesis that the gradual diffusion of information across asset markets leads to cross-asset return predictability in Korea. And, the aim of this paper is related to forecast the stock market, business cycle index and industrial production by various indicators of economic activities in Korea. For this, our paper sets models and focuses on empirical test. The stock market on this month correlate with industries in Korea. The stock market doesn't lead to industries. The industries and macroeconomic variables have high correlation. We test that gradual diffusion of industrial information will predict stock market in Korea. For this, we analysis on possibility of Granger cause by VAR models between industries and stock market. As a result, 21 portfolios cause to Kospi statistically significance at 5%. Especially, the Beverage portfolio has bilateral Granger causality to Kospi. In case of Internet and Cosmetics portfolio, Kospi has unilateral Granger causality to it. The predictability of specific industries has a relation to Macroeconomic variables. What industrial portfolios predict to Business Coincidence Index? The only 6 industrial portfolios of 36 portfolios have a statistically significance at 10%. And, 9 portfolios have a statistically significance at 5%.

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The Impact of Organizational Improvisation on Market Orientation

  • Kim, Seung-Ho;Shim, Joon-Sup
    • International Journal of Contents
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    • v.8 no.1
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    • pp.82-87
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    • 2012
  • Organizational improvisation, the convergence of planning and execution, has emerged as an alternative approach to the limitations in strategic planning. Organizational improvisation has a significant impact not only on organizational performance, but also on market orientation, which has emerged as a key issue in the field of technology commercialization. This study investigates both the effect of organizational improvisation on market orientation, as well as the effect of environmental turbulence and time pressure on organizational improvisation. Results show that organizational improvisation has a positive influence on market orientation, with a stronger effect on the diffusion of market information. This is greatly impacted by environmental turbulence and time pressure. As a result, promoting competencies in organizational improvisation at the corporate level is suggested as a significant means to enhance market-oriented organizational innovation.

Factors Influencing the Use Diffusion of Cosmetic Medical Information Mobile Platform: Based on Technology Acceptance Model (미용성형의료정보 모바일 플랫폼의 사용확산에 영향을 미치는 요인: 기술수용모델을 기반으로)

  • Youyoung Park;Jeman Boo
    • Korea Trade Review
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    • v.45 no.1
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    • pp.279-300
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    • 2020
  • The cosmetic medical information mobile platform is evolving into a new channel for searching and obtaining relevant information before using cosmetic medical service. In addition, the medical institutions can facilitate the medical contracts, and take advantage of systemic customer management through the cosmetic medical information mobile platform. Therefore, the paradigm of the cosmetic medical mobile service industry is facing a flow of change through the use diffusion of cosmetic medical information mobile platform. In this study, in order to explore the factors affecting the use diffusion of the cosmetic medical information mobile platform, this study used the research model of the influence of the characteristics of the cosmetic medical information mobile platform on perceived convenience and usefulness, and use diffusion by applying TAM(Technology Acceptance Model). As a result, immediateness, interactivity, and customization in the characteristics of cosmetic medical information mobile platform had positive effects on the perceived convenience. Also, interactivity, customization, and economics had positive impacts on perceived usefulness. In addition, perceived convenience and usefulness had positive effects on the use diffusion. Through this study, the factors influencing the use diffusion of cosmetic medical information mobile platform were actually explored, and the service value of the cosmetic medical information mobile platform were categorized. Future research is expected to contribute to the continuous improvement of quality and expansion of the cosmetic medical service market based on various research.

미래 방송서비스의 수요예측 연구: i-TV를 중심으로

  • 유설희;박명철
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2001.11a
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    • pp.37-57
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    • 2001
  • Digital technology enhanced the improvement of technological aspects in the both broadcasting and telecommunications industries. The infrastructures of each industry converged to one, which impacts not only on technology but also on the broadcasting service. The current broadcasting service is characterized by one-way service, but it'll changed to be customized, or two-way service that reflects the interest of customers. This change requires a new standard to categorize and analyze the future broadcasting service converged and market structure, differing from the present standard based on the transmission channels. This study aims at forecasting the demand of interactive TV service as a representative broadcasting service in the near future, and analyzing the market structure of the broadcasting services. We assume that the present broadcasting and information and telecommunications services such as terrestrial, cable TV, satellite, digital TV services and high-speed broadband service have strong relationship with interactive TV service. First we use Bass diffusion method to predict the diffusion curve of the present five services. Then we analyze the relationship between the present services and interactive TV service by Delphi method. Finally we estimate the potential subscription number of interactive TV service based on the relationship among the services and diffusion parameters.

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Forecasting the Evolution of Demand for the Large Sized Television of Next Generation Using Conjoint and Diffusion Models (컨조인트와 확산모형을 이용한 차세대 대형 TV의 수요 예측)

  • 이종수;조영상;이정동;이철용
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.11a
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    • pp.87-100
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    • 2003
  • 본 연구는 마케팅 분야에서 주로 사용되는 신제품확산모델(new product diffusion model)들이 기본적인 배스 모형(Bass model)에 기반하여 개별 소비자의 이질성(heterogeneity)을 반영하지 못하고, 제품이 시장에 출시되기 이전 단계에 시장수요를 예측하지 못하는 한계를 극복하기 위한 방법론을 제시하기 위해 진행되었다. 연구에 사용된 방법론을 살펴보면, 먼저 컨조인트(Conjoint) 분석을 통해 제품의 개별 속성들에 대한 소비자의 선호 구조를 파악하고, 이를 통해 추정된 정적(static)인 소비자 효용함수를 시장 및 기술 환경의 변화에 대한 적절한 예측자료와 결합하여 동적(dynamic)인 효용함수로 전환함으로써 시간에 따른 동적(dynamic) 시장 점유율(market share)을 예측하고, 그 결과를 신제품확산모델로부터 도출된 잠재시장(market potential) 추정치와 결합함으로써 신제품의 판매량을 예측한다. 또한 본 연구에서 제시하는 모델을 한국의 30인치 이상 대형TV 시장에 대해 실증적으로 분석하였으며, CRT TV, Projection TV, LCD TV, PDP TV에 대한 시장수요를 예측하였다. 분석 결과, 소비자들은 TV 선택시 화질과 가격에 민감한 반응을 보이는 것을 알 수 있으며, 이를 바탕으로 한 시장 예측 결과, 단기적으로는 가격 경쟁력이 있는 Projection TV가 높은 시장 점유율을 보이지만, 50인치 이상 LCD TV가 상용화될 경우, LCD TV가 다른 TV들보다 상대적으로 많은 판매량을 보일 것으로 예측되었다. 또한 TV 크기에 따른 소비자들의 선택을 살펴본 결과 50∼60인치대에 비해 40인치대 크기의 TV가 많이 판매될 것으로 예상된다.

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