• Title/Summary/Keyword: Bass model

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A Parameter Estimation of Bass Diffusion Model by the Hybrid of NLS and OLS (NLS와 OLS의 하이브리드 방법에 의한 Bass 확산모형의 모수추정)

  • Hong, Jung-Sik;Kim, Tae-Gu;Koo, Hoon-Young
    • Journal of Korean Institute of Industrial Engineers
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    • v.37 no.1
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    • pp.74-82
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    • 2011
  • The Bass model is a cornerstone in diffusion theory which is used for forecasting demand of durables or new services. Three well-known estimation methods for parameters of the Bass model are Ordinary Least Square (OLS), Maximum Likelihood Estimator (MLE), Nonlinear Least Square (NLS). In this paper, a hybrid method incorporating OLS and NLS is presented and it's performance is analyzed and compared with OLS and NLS by using simulation data and empirical data. The results show that NLS has the best performance in terms of accuracy and our hybrid method has the best performance in terms of stability. Specifically, hybrid method has better performance with less data. This result means much in practical aspect because the avaliable data is little when a diffusion model is used for forecasting demand of a new product.

An Empirical Study of Technology Diffusion on the Internet using Bass Model (Bass 모형을 이용한 인터넷에서의 기술 확산에 대한 실증분석)

  • Nam, Ho-Hun;Yang, Kwang-Min
    • Journal of Digital Convergence
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    • v.6 no.2
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    • pp.55-64
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    • 2008
  • The Internet possesses not only features of mass media but also features of word of mouth communication. Communication channel is considered as one of most important variables in diffusion process. In this paper, we examined functionality of technology diffusion on the Internet through the use of meta tags. We have measured the coefficients of the Bass diffusion model which has been well-established in new product diffusion. This research shows that the Bass model is appropriate for describing technology diffusion on the Internet. The external influence as represented by the coefficient of innovation was found to be much smaller while the internal influence dominates in all meta tag diffusion. In meta tag diffusion, the internal influence as represented by the coefficient of imitation was increased at least twice bigger than that of consumer durables and information technology. Collecting necessary data in social sciences research can be a burden. This research shows that it can be alleviated through the use of software agents over the Internet. The research made use of software agents for collecting longitudinal data from publicly accessible archive such as Archive.org.

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An Empirical Analysis of Smartphone Diffusions in a Global Context

  • Cho, Daegon
    • Journal of Contemporary Eastern Asia
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    • v.14 no.1
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    • pp.45-55
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    • 2015
  • This paper examines the diffusion of smartphones with a special emphasis on the diffusive interactions between Apple iOS and Google Android in a global context. Since the two mobile platforms were first introduced in the market, the use of smartphones has skyrocketed, suggesting that the dramatic diffusion of smartphones may be explained in part by the growth and competition of these two platforms. To study this, an extended Bass model is applied to a data set of quarterly smartphone sales between 2008 and 2013 for 15 countries. Our findings suggest that the innovation effect was more salient for iOS than for Android in developed countries, whereas the imitation effect was more striking for Android than for iOS in developing countries. Furthermore, our results from the co-diffusion model suggest that the diffusion of Android negatively affected by the diffusion of iOS, but not vice versa.

Estimation of Optimal Target Amount for Efficiency Improvement Program of DSM (효율향상 프로그램의 최적 수요관리목표량 산정)

  • So, Chol-Ho;Park, Jong-Jin;Kim, Jin-O;Cho, Joong-Sam
    • Proceedings of the KIEE Conference
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    • pp.842-843
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    • 2007
  • In this paper, the proper rebate level can be decided in programs of energy savings by solving an optimization problem with an objective function, which satisfies a maximum value of total energy savings. And then, each prevalence amount is estimated by using virtual Bass model which is a function of rebate level, instead of the conventional Bass model. Finally, by cost/benefit analysis of the estimated prevalence amounts, the priority order is obtained for the investment of each program. The priority order obtained in this way may result the improvement of investment efficiency for DSM(Demand-Side Management) programs and the reasonable plan decision for supply and demand in power system.

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Diffusion Model을 활용한 온라인 게임 간 수요 확산패턴 연구

  • Choe, Jeong-Uk
    • Proceedings of the Korean Society for Quality Management Conference
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    • pp.17-22
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    • 2006
  • Online game industry is one of the most value added industry and continues to grow rapidly nowadays. This paper classifies the diffusion patterns of online games according to online game genre, estimates coefficients of innovation and imitation using Bass model, extracts the Bass-based adoption life cycle model which reflects the properties of each game, and then analyzes the diffusion pattern of each game. Through the research on the diffusion pattern of online games, if we can identify the characteristics of changing market and consumers in accordance with the product life cycle, we will provide the implications to the marketing strategy, which have to change at every stage of adoption life cycle, not to mention to investment plan.

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Identifying the Diffusion Patterns of Movies by Opening Strength and Profitability (개봉 규모와 수익성에 따른 영화의 분류와 확산 패턴 분석)

  • Kim, Taegu;Hong, Jungsik
    • Journal of Korean Institute of Industrial Engineers
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    • v.39 no.5
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    • pp.412-421
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    • 2013
  • Motion picture industry is one of the most representative fields in the cultural industry and has experienced constant growth both worldwide and within domestic markets. However, little research has been undertaken for diffusion patterns of motion pictures, whereas various issues such as demand forecasting and success factor analysis have been widely explored. To analyze diffusion patterns, we adopted extended Bass model to reflect the potential demand of movies. Four clusters of selected movies were derived by k-means clustering method with criteria of opening strength and profitability and then compared by their diffusion patterns. Results indicated that movies with high profitability and medium opening strength are most significantly influenced by word of mouth effect, while low profitability movies display nearly monotonic decreasing diffusion patterns with noticeable initial adoption rates and relatively early peak points in their runs.

An Study of Demand Forecasting Methodology Based on Hype Cycle: The Case Study on Hybrid Cars (기대주기 분석을 활용한 수요예측 연구: 하이브리드 자동차의 사례를 중심으로)

  • Jun, Seung-Pyo
    • Journal of Korea Technology Innovation Society
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    • v.14 no.spc
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    • pp.1232-1255
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    • 2011
  • This paper proposes a model for demand forecasting that will require less effort in the process of utilizing the new product diffusion model while also allowing for more objective and timely application. Drawing upon the theoretical foundation provided by the hype cycle model and the consumer adoption model, this proposed model makes it possible to estimate the maximum market potential based solely on bibliometrics and the scale of the early market, thereby presenting a method for supplying the major parameters required for the Bass model. Upon analyzing the forecasting ability of this model by applying it to the case of the hybrid car market, the model was confirmed to be capable of successfully forecasting results similar in scale to the market potential deduced through various other objective sources of information, thus underscoring the potentials of utilizing this model. Moreover, even the hype cycle or the life cycle can be estimated through direct linkage with bibliometrics and the Bass model. In cases where the hype cycles of other models have been observed, the forecasting ability of this model was demonstrated through simple case studies. Since this proposed model yields a maximum market potential that can also be applied directly to other growth curve models, the model presented in the following paper provides new directions in the endeavor to forecast technology diffusion and identify promising technologies through bibliometrics.

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Applications of Innovation Adoption and Diffusion Theory to Demand Estimation for Communications and Media Converging (DMB) Services (혁신채택 및 확산이론의 통신방송융합(위성DMB) 서비스 수요추정 응용)

  • Sawng Yeong-Wha;Han Hyun-Soo
    • Korean Management Science Review
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    • v.22 no.1
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    • pp.179-197
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    • 2005
  • This study examines market acceptance for DMB service, one of the touted new business models in Korea's next-generation mobile communications service market, using adoption end diffusion of innovation as the theoretical framework. Market acceptance for DMB service was assessed by predicting the demand for the service using the Bass model, and the demand variability over time was then analyzed by integrating the innovation adoption model proposed by Rogers (2003). In our estimation of the Bass model, we derived the coefficient of innovation and coefficient of imitation, using actual diffusion data from the mobile telephone service market. The maximum number of subscribers was estimated based on the result of a survey on satellite DMB service. Furthermore, to test the difference in diffusion pattern between mobile phone service and satellite DMB service, we reorganized the demand data along the diffusion timeline according to Rogers' innovation adoption model, using the responses by survey subjects concerning their respective projected time of adoption. The comparison of the two demand prediction models revealed that diffusion for both took place forming a classical S-curve. Concerning variability in demand for DMB service, our findings, much in agreement with Rogers' view, indicated that demand was highly variable over time and depending on the adopter group. In distinguishing adopters into different groups by time of adoption of innovation, we found that income and lifestyle (opinion leadership, novelty seeking tendency and independent decision-making) were variables with measurable impact. Among the managerial variables, price of reception device, contents type, subscription fees were the variables resulting in statistically significant differences. This study, as an attempt to measure the market acceptance for satellite DMB service, a leading next-generation mobile communications service product, stands out from related studies in that it estimates the nature and level of acceptance for specific customer categories, using theories of innovation adoption and diffusion and based on the result of a survey conducted through one-to-one interviews. The authors of this paper believe that the theoretical framework elaborated in this study and its findings can be fruitfully reused in future attempts to predict demand for new mobile communications service products.

A Study on Technology Forecasting based on Co-occurrence Network of Keyword in Multidisciplinary Journals (다학제 분야 학술지의 주제어 동시발생 네트워크를 활용한 기술예측 연구)

  • Kim, Hyunuk;Ahn, Sang-Jin;Jung, Woo-Sung
    • Journal of the Korean Operations Research and Management Science Society
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    • v.40 no.4
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    • pp.49-63
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    • 2015
  • Keyword indexed in multidisciplinary journals show trends about science and technology innovation. Nature and Science were selected as multidisciplinary journals for our analysis. In order to reduce the effect of plurality of keyword, stemming algorithm were implemented. After this process, we fitted growth curve of keyword (stem) following bass model, which is a well-known model in diffusion process. Bass model is useful for expressing growth pattern by assuming innovative and imitative activities in innovation spreading. In addition, we construct keyword co-occurrence network and calculate network measures such as centrality indices and local clustering coefficient. Based on network metrics and yearly frequency of keyword, time series analysis was conducted for obtaining statistical causality between these measures. For some cases, local clustering coefficient seems to Granger-cause yearly frequency of keyword. We expect that local clustering coefficient could be a supportive indicator of emerging science and technology.

Life Cycle Analysis of Stem Cell Technology Based on Diffusion Model : Focused on the Research Stage (확산 모형을 이용한 줄기 세포 기술의 수명 주기 분석 : 연구 단계를 중심으로)

  • Jang, In-young;Hong, Jungsik;Kim, Taegu
    • Journal of Korean Institute of Industrial Engineers
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    • v.41 no.5
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    • pp.488-498
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    • 2015
  • Research on stem cells can be divided into three categories : pluripotent stem cell, adult stem cell, and induced pluripotent stem cell. Technology life cycle (TLC) on research stage is analyzed for the three stem cell categories based on diffusion model. Three diffusion models-logistic, Bass, and Bass model with integration constant (BMIC)-are applied to the number of articles related to each stem cell category in SCOPUS lists. Two different parameter estimation methods is used for each of logistic and Bass model. Results show that (1) the current year, 2015, lies in growth period at pluripotent stem cell and adult stem cell, and lies in growth period or maturity period at induced pluripotent stem cell. (2) Model fitness is the highest at BMIC model. (3) Imitation effect works best at the research area of induced pluripotent stem cell.