On the evaluation of the takeoff time and of the peak time for innovation diffusion on assortative networks

被引:9
|
作者
Bertotti, Maria Letizia [1 ]
Modanese, Giovanni [1 ]
机构
[1] Free Univ Bozen Bolzano, Fac Sci & Technol, Bolzano, Italy
关键词
Innovation diffusion; Bass model; assortative networks; takeoff and peak time; MODELS;
D O I
10.1080/13873954.2019.1660997
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
This paper deals with a generalization of the Bass model for the description of the diffusion of innovations. The generalization keeps into account heterogeneity of the interactions of the consumers and is expressed by a system of several nonlinear differential equations on complex networks. The following contributions can be singled out: first, explicit algorithms are provided for the construction of various families of assortative scale-free networks; second, a method is provided for the identification of the takeoff time and of the peak time, which represent important turning points in the life cycle of an innovation/product; third, the emergence of specific patterns in connection with networks of the same family is observed, whose tentative interpretation is then given. Also, a comparison with an alternative approach is given, within which adoption times of different communities are evaluated of a network describing firm cooperations in South Tyrol.
引用
收藏
页码:482 / 498
页数:17
相关论文
共 50 条
  • [1] Innovation diffusion on time-varying activity driven networks
    Rizzo, Alessandro
    Porfiri, Maurizio
    [J]. EUROPEAN PHYSICAL JOURNAL B, 2016, 89 (01): : 1 - 8
  • [2] Innovation diffusion on time-varying activity driven networks
    Alessandro Rizzo
    Maurizio Porfiri
    [J]. The European Physical Journal B, 2016, 89
  • [3] Time for a change: On the patterns of diffusion of innovation
    Grubler, A
    [J]. DAEDALUS, 1996, 125 (03) : 19 - 42
  • [4] Market takeoff in multigeneration innovation diffusion: An ecological approach
    Tang, Ying-chan
    Huang, Yao-hui
    Liou, Fen-may
    [J]. PROCEEDING OF THE SEVENTH INTERNATIONAL CONFERENCE ON INFORMATION AND MANAGEMENT SCIENCES, 2008, 7 : 136 - 145
  • [5] Dynamics of an Innovation Diffusion Model with Time Delay
    Kumar, Rakesh
    Sharma, Anuj K.
    Agnihotri, Kulbhushan
    [J]. EAST ASIAN JOURNAL ON APPLIED MATHEMATICS, 2017, 7 (03) : 455 - 481
  • [6] Multigeneration innovation diffusion: The impact of intergeneration time
    Pae, JH
    Lehmann, DR
    [J]. JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2003, 31 (01) : 36 - 45
  • [7] Multigeneration innovation diffusion: The impact of intergeneration time
    Jae H. Pae
    Donald R. Lehmann
    [J]. Journal of the Academy of Marketing Science, 2003, 31 : 36 - 45
  • [8] Multigeneration innovation diffusion and intergeneration time: A cautionary note
    Van den Bulte, C
    [J]. JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, 2004, 32 (03) : 357 - 360
  • [9] MODELING INNOVATION DIFFUSION WITH DISTRIBUTED TIME-LAG
    LAL, VB
    KARMESHU
    KAICKER, S
    [J]. TECHNOLOGICAL FORECASTING AND SOCIAL CHANGE, 1988, 34 (02) : 103 - 113
  • [10] Multigeneration innovation diffusion and intergeneration time: A cautionary note
    Christophe Van den Bulte
    [J]. Journal of the Academy of Marketing Science, 2004, 32 : 357 - 360