MODELLING OF INNOVATION DIFFUSION

被引:0
|
作者
Kijek, Arkadiusz [1 ]
Kijek, Tomasz [2 ]
机构
[1] Maria Curie Sklodowska Univ Lublin, Inst Econ & Finance, Pl Marii Curie Sklodowskiej 5, PL-20031 Lublin, Poland
[2] Univ Life Sci Lublin, Dept Econ & Management, PL-20950 Lublin, Poland
关键词
innovation; models of innovation diffusion; ICT market;
D O I
暂无
中图分类号
C93 [管理学]; O22 [运筹学];
学科分类号
070105 ; 12 ; 1201 ; 1202 ; 120202 ;
摘要
Since the publication of the Bass model in 1969, research on the modelling of the diffusion of innovation resulted in a vast body of scientific literature consisting of articles, books, and studies of real-world applications of this model. The main objective of the diffusion model is to describe a pattern of spread of innovation among potential adopters in terms of a mathematical function of time. This paper assesses the state-of-the-art in mathematical models of innovation diffusion and procedures for estimating their parameters. Moreover, theoretical issues related to the models presented are supplemented with empirical research. The purpose of the research is to explore the extent to which the diffusion of broadband Internet users in 29 OECD countries can be adequately described by three diffusion models, i.e. the Bass model, logistic model and dynamic model. The results of this research are ambiguous and do not indicate which model best describes the diffusion pattern of broadband Internet users but in terms of the results presented, in most cases the dynamic model is inappropriate for describing the diffusion pattern. Issues related to the further development of innovation diffusion models are discussed and some recommendations are given.
引用
收藏
页码:53 / 68
页数:16
相关论文
共 50 条
  • [1] Dynamic Innovation Diffusion Modelling
    Kazunori Shinohara
    Hiroshi Okuda
    Computational Economics, 2010, 35 : 51 - 62
  • [2] Modelling seasonality in innovation diffusion
    Guidolin, Mariangela
    Guseo, Renato
    TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 2014, 86 : 33 - 40
  • [3] Dynamic Innovation Diffusion Modelling
    Shinohara, Kazunori
    Okuda, Hiroshi
    COMPUTATIONAL ECONOMICS, 2010, 35 (01) : 51 - 62
  • [4] Modelling and analysis of stochastic innovation diffusion
    Schurz, H
    ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 1996, 76 : 366 - 369
  • [5] APPLICATION OF THE EVOLUTION THEORY IN MODELLING OF INNOVATION DIFFUSION
    Krstic, Milan
    Skorup, Ana
    Minkov, Djordje
    INTERNATIONAL REVIEW, 2016, (1-2) : 142 - 152
  • [6] Modelling diffusion of innovation curves using radiocarbon data
    Crema, E. R.
    Bloxam, A.
    Stevens, C. J.
    Vander Linden, M.
    JOURNAL OF ARCHAEOLOGICAL SCIENCE, 2024, 165
  • [7] Knowledge diffusion and innovation: modelling complex entrepreneurial behaviours
    Zirulia, Lorenzo
    JOURNAL OF EVOLUTIONARY ECONOMICS, 2012, 22 (02) : 395 - 400
  • [8] Knowledge Diffusion and Innovation: Modelling Complex Entrepreneurial Behaviours
    Garcia-Diaz, Cesar
    Urbig, Diemo
    JASSS-THE JOURNAL OF ARTIFICIAL SOCIETIES AND SOCIAL SIMULATION, 2010, 13 (04):
  • [9] Innovation Topologies: Modelling Knowledge Diffusion with Cellular Automaton
    Barski, Jan
    Wagner, Magdalena
    Scheler, Anna-Maria
    Noennig, Joerg Rainer
    IFKAD 2014: 9TH INTERNATIONAL FORUM ON KNOWLEDGE ASSET DYNAMICS: KNOWLEDGE AND MANAGEMENT MODELS FOR SUSTAINABLE GROWTH, 2014, : 564 - 578
  • [10] Patient Journey Modelling: Using Students as a Vehicle for the Diffusion of Innovation
    Curry, J. M.
    Fitzgerald, J. A.
    Eljiz, K.
    HEALTH INFORMATICS: THE TRANSFORMATIVE POWER OF INNOVATION, 2011, 168 : 35 - 43