• Title/Summary/Keyword: Bass 확산

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Long-Term Projection of Demand for Reverse Mortgage Using the Bass Diffusion Model in Korea (Bass 확산모형을 활용한 국내 주택연금의 중·장기 수요예측)

  • Yang, Jin-Ah;Min, Daiki;Choi, Hyung-Suk
    • Journal of the Korean Operations Research and Management Science Society
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    • v.42 no.1
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    • pp.29-41
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    • 2017
  • Korea is expected to become a super-aged society by 2050. Given an aging population and the increasing pressure for the early retirement, a sufficient social safety net for elderly population becomes important. The Korean government introduced public reverse mortgage program in 2007, which is a product for aging seniors and the elderly, The number of reverse mortgage subscribers has also steadily grown. The demand continues to grow, but the reverse mortgage over a long period of time is a highly uncertain and risky product in the position of guarantee or lending institution. Thus, suitable demand prediction of the reverse mortgage subscribers is necessary for stable and sustainable operation. This study uses a Bass diffusion model to forecast the long-term demand for reverse mortgage and provides insight into reverse mortgage by forecasting demand for stability and substantiality of the loan product. We represent the projections of new subscribers on the basis of the data obtained from Korea Housing Finance Corporation. Results show that potential market size of Korean reverse mortgage reaches approximately 760,000-1,160,000 households by 2020. We validate the results by comparing the estimate of the cumulative number of subscribers with that found in literature.

Analysis of Diffusion Pattern in New Product and Services Based on Two-pieces Bass Model (신제품 및 서비스에 있어 이분조각 Bass모형에 의한 확산 패턴 분석)

  • Hong, Seok-Kee;Hong, Jung-Sik
    • IE interfaces
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    • v.23 no.4
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    • pp.337-348
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    • 2010
  • The Bass model is the most widely used model in research of new product diffusion because it presents a nice explanation on the diffusion process of new products. However, it has a limitation that its performance of fitness is lower as the available data become less and also, the diffusion curve is bell-shape and so, it can not represent the various diffusion patterns. Recently, a two-pieces Bass model is developed and applied to analyze diffusion of 10 products. The results are encouraging in terms of fitness. However, diffusion pattern is not dealt with in the paper. In this paper, analysis of diffusion pattern is in depth addressed in two-pieces Bass model. It is shown that the diffusion curves are divided into 3 types with respect to the peak adoption rate and each type is divided into 2 types further. Takeoff time of a diffusion process is analyzed by using the inflection point and regime-change time where it represents the point that imitation and innovation parameters change. Empirical studies for 68 products(28 domestic products and 40 USA products) are performed to analyze the diffusion pattern. Findings are that diffusion patterns of all products except 1 USA product show type I and regime-change time becomes shorter as the introduction time of the product is later in domestic products and regime-change time can be regarded as a takeoff time in 47% of total 68 products.

Relationship Identification of Diffusion Effect on High-speed Rail Demand Increase (확산효과를 통한 고속철도의 여객수요 증가현상에 관한 연구)

  • Kim, Junghwa;Ryu, Ingon;Choi, Keechoo;Lee, Myunghwan
    • Journal of the Korean Society for Railway
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    • v.19 no.4
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    • pp.539-546
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    • 2016
  • It is over 12 years since the launch of Korea Train eXpress (KTX) services. Demand for the KTX has been on the increase continuously but few studies have been produced related to this phenomenon. KTX passenger demand has been constantly increasing due to influencing factors such as the expansion of network, rise of oil prices, etc. In this study, our main focus is to verify that there are other types of elements that are causing an increase in KTX demand; our approach looks at changes in social and psychological aspect that have occurred due to the reduction of travel time and cost, as well as the imposition of a five-day workweek. In other words, we considered diffusion theory in the marketing area, which affects product selection and purchasing attitudes, as a key factor that is causing passenger demand to increase. That is to say that it is hypothesized that the demand for travel on the KTX has increased due to the train's utility, which is spread by the diffusion effect Therefore, the Bass diffusion model was applied to explain the dramatic increase in KTX passenger demand. Based on this foundation, it was also discussed how certain marketing strategies that incorporate the diffusion effect should be considered variously for sustainable management of rail transportation, while considering a steady passenger demand.

확산 모형을 활용한 온라인 게임의 수요확산 패턴 비교 분석

  • Choe, Jeong-Uk;Lee, Seung-Jun;Park, Jong-Heon
    • 한국경영정보학회:학술대회논문집
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    • 2007.11a
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    • pp.501-507
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    • 2007
  • 본 연구에서는 온라인 게임을 크게 카드 게임, 플래시 게임, RPG 게임, 캐주얼 게임 등 네 가지 종류로 분류하고 그 중 캐주얼 게임과 MMORPG게임을 하나씩 선정 한 후, 확산 모형 중 Bass의 기본모형을 이용하여 각 장르별 특성을 반영한 수용주기모형을 도출하여 각 게임별 확산 패턴을 분석하였다. 분석결과, 캐주얼 게임 A는 광고 등의 외부효과가 강하게 작용하여 혁신수용자들의 수가 많았고 MMORPG게임 B와 같은 경우, 소비자들의 입소문이 확산에 중요한 영향을 미치는 것으로 나타났다. 이와 같은 온라인 게임의 확산 패턴에 대한 연구를 통해 각 제품수용주기에 따라 변화하는 시장에 소비자의 특성을 파악할 수 있다면 수용주기의 단계마다 달라져야 하는 마케팅 계획과 전략적 시사점을 제공할 수 있을 것이다.

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A Study on the Differences of Information Diffusion Based on the Type of Media and Information (매체와 정보유형에 따른 정보확산 차이에 대한 연구)

  • Lee, Sang-Gun;Kim, Jin-Hwa;Baek, Heon;Lee, Eui-Bang
    • Journal of Intelligence and Information Systems
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    • v.19 no.4
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    • pp.133-146
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    • 2013
  • While the use of internet is routine nowadays, users receive and share information through a variety of media. Through the use of internet, information delivery media is diversifying from traditional media of one-way communication, such as newspaper, TV, and radio, into media of two-way communication. In contrast of traditional media, blogs enable individuals to directly upload and share news, which can be considered to have a differential speed of information diffusion than news media that convey information unilaterally. Therefore this Study focused on the difference between online news and social media blogs. Moreover, there are variations in the speed of information diffusion because that information closely related to one person boosts communications between individuals. We believe that users' standard of evaluation would change based on the types of information. As well, the speed of information diffusion would change based on the level of proximity. Therefore, the purpose of this study is to examine the differences in information diffusion based on the types of media. And then information is segmentalized and an examination is done to see how information diffusion differentiates based on the types of information. This study used the Bass diffusion model, which has been frequently used because this model has higher explanatory power than other models by explaining diffusion of market through innovation effect and imitation effect. Also this model has been applied a lot in other information diffusion related studies. The Bass diffusion model includes an innovation effect and an imitation effect. Innovation effect measures the early-stage impact, while the imitation effect measures the impact of word of mouth at the later stage. According to Mahajan et al. (2000), Innovation effect is emphasized by usefulness and ease-of-use, as well Imitation effect is emphasized by subjective norm and word-of-mouth. Also, according to Lee et al. (2011), Innovation effect is emphasized by mass communication. According to Moore and Benbasat (1996), Innovation effect is emphasized by relative advantage. Because Imitation effect is adopted by within-group influences and Innovation effects is adopted by product's or service's innovation. Therefore, ours study compared online news and social media blogs to examine the differences between media. We also choose different types of information including entertainment related information "Psy Gentelman", Current affair news "Earthquake in Sichuan, China", and product related information "Galaxy S4" in order to examine the variations on information diffusion. We considered that users' information proximity alters based on the types of information. Hence, we chose the three types of information mentioned above, which have different level of proximity from users' standpoint, in order to examine the flow of information diffusion. The first conclusion of this study is that different media has similar effect on information diffusion, even the types of media of information provider are different. Information diffusion has only been distinguished by a disparity between proximity of information. Second, information diffusions differ based on types of information. From the standpoint of users, product and entertainment related information has high imitation effect because of word of mouth. On the other hand, imitation effect dominates innovation effect on Current affair news. From the results of this study, the flow changes of information diffusion is examined and be applied to practical use. This study has some limitations, and those limitations would be able to provide opportunities and suggestions for future research. Presenting the difference of Information diffusion according to media and proximity has difficulties for generalization of theory due to small sample size. Therefore, if further studies adopt to a request for an increase of sample size and media diversity, difference of the information diffusion according to media type and information proximity could be understood more detailed.

A Study on a Long-term Demand Forecasting and Characterization of Diffusion Process for Medical Equipments based on Diffusion Model (확산 모형에 의한 고가 의료기기의 수요 확산의 특성분석 및 중장기 수요예측에 관한 연구)

  • Hong, Jung-Sik;Kim, Tae-Gu;Lim, Dar-Oh
    • Health Policy and Management
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    • v.18 no.4
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    • pp.85-110
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    • 2008
  • In this study, we explore the long-term demand forecasting of high-price medical equipments based on logistic and Bass diffusion model. We analyze the specific pattern of each equipment's diffusion curve by interpreting the parameter estimates of Bass diffusion model. Our findings are as follows. First, ultrasonic imaging system, CT are in the stage of maturity and so, the future demands of them are not too large. Second, medical image processing unit is between growth stage and maturity stage and so, the demand is expected to increase considerably for two or three years. Third, MRI is in the stage of take-off and Mammmography X-ray system is in the stage of maturity but, estimates of the potential number of adopters based on logistic model is considerably different to that based on Bass diffusion model. It means that additional data for these two equipments should be collected and analyzed to obtain the reliable estimates of their demands. Fourth, medical image processing unit have the largest q value. It means that the word-of-mouth effect is important in the diffusion of this equipment. Fifth, for MRI and Ultrasonic system, q/p values have the relatively large value. It means that collective power has an important role in adopting these two equipments.

A Study on Forecasting the Diffusion of Certified Testing Service Institutions and Direction of Policy Making in Defense Industry (방산분야 공인시험기관의 수요확산 예측 및 정책 방향 연구)

  • Lee, Yong-Hak;Cho, Hyun-Ki;Kim, Woo-Je;Kang, Cho-Rong
    • IE interfaces
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    • v.25 no.2
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    • pp.255-263
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    • 2012
  • In order to ensure the reliability and specialty of weapon system test results, a policy of extending certified testing service institutions has been driven by applying accreditation system of the ones in defense industry. Bass and Logistic models are used to apply the policy effectively and forecast the diffusion pattern of certified testing service institutions. The parameters for diffusion forecast are estimated using the diffusion pattern of certified testing service institutions in non-defense industry, and these are applied to forecast the diffusion of certified ones in defense industry. Coefficients of innovation and imitation of Bass model are analyzed to derive the factors influencing the early adoption and diffusion patterns. The more increasing the coefficients, the earlier adoption occurred. Diffusion pattern due to coefficient of imitation, internal factor, has larger effect on sensitivity of diffusion pattern. This means that the self recognition of necessity is more effectively worked than the policy or regulations driven by government.

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.

A patent application filing forecasting method based on the bidirectional LSTM (양방향 LSTM기반 시계열 특허 동향 예측 연구)

  • Seungwan, Choi;Kwangsoo, Kim;Sooyeong, Kwak
    • Journal of IKEEE
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    • v.26 no.4
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    • pp.545-552
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    • 2022
  • The number of patent application filing for a specific technology has a good relation with the technology's life cycle and future industry development on that area. So industry and governments are highly interested in forecasting the number of patent application filing in order to take appropriate preparations in advance. In this paper, a new method based on the bidirectional long short-term memory(LSTM), a kind of recurrent neural network(RNN), is proposed to improve the forecasting accuracy compared to related methods. Compared with the Bass model which is one of conventional diffusion modeling methods, the proposed method shows the 16% higher performance with the Korean patent filing data on the five selected technology areas.

Comparative Evaluation of Diffusion Models using Global Wireline Subscribers (세계 유선인터넷 서비스에 대한 확산모형의 예측력 비교)

  • Min, Yui Joung;Lim, Kwang Sun
    • Journal of Information Technology Applications and Management
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    • v.21 no.4_spc
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    • pp.403-414
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    • 2014
  • Forecasting technology in economic activity is a quite intricate procedure so researchers should grasp the point of the data to use. Diffusion models have been widely used for forecasting market demand and measuring the degree of technology diffusion. However, there is a question that a model, explaining a certain market with goodness of fit, always shows good performance with markets of different conditions. The primary aim of this paper is to explore diffusion models which are frequently used by researchers, and to help readers better understanding on those models. In this study, Logistic, Gompertz and Bass models are used for forecasting Global Wireline Subscribers and the performance of models is measured by Mean Absolute Percentage Error. Logistic model shows better MAPE than the other two. A possible extension of this study may verify which model reflects characteristics of industry better.