Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)

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ANYLOGIC-Based Dynamics Model of the Bass New Product Diffusion Process

Authors
Jun Ma1, *, Jing Zhao1, Guofang Sun1, Shuang Peng1
1Beijing Polytechnic, Beijing, China
*Corresponding author. Email: Majun1@bpi.edu.cn
Corresponding Author
Jun Ma
Available Online 30 December 2023.
DOI
10.2991/978-94-6463-326-9_4How to use a DOI?
Keywords
Bass model; New product diffusion; System dynamics
Abstract

This study introduces a dynamic model of the Bass New Product Diffusion Process implemented through ANYLOGIC. The objective is to comprehensively investigate the underlying dynamics governing the diffusion of new products. Through meticulous construction and exhaustive validation via simulation, our model successfully captures the intricate dynamics of the Bass Diffusion Process, yielding highly accurate outcomes. This research sheds light on previously unexplored aspects, underscoring the potential of the model. In conclusion, the dynamic model, facilitated by ANYLOGIC for the Bass New Product Diffusion Process, not only serves as a robust tool for analyzing the dynamic traits of product diffusion but also carries profound industry implications, laying a foundation for industries to gain deeper insights into market penetration, potentially leading to more strategic product launches and targeted marketing efforts in the future.

Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
Series
Atlantis Highlights in Computer Sciences
Publication Date
30 December 2023
ISBN
10.2991/978-94-6463-326-9_4
ISSN
2589-4900
DOI
10.2991/978-94-6463-326-9_4How to use a DOI?
Copyright
© 2023 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Jun Ma
AU  - Jing Zhao
AU  - Guofang Sun
AU  - Shuang Peng
PY  - 2023
DA  - 2023/12/30
TI  - ANYLOGIC-Based Dynamics Model of the Bass New Product Diffusion Process
BT  - Proceedings of the 2023 3rd International Conference on Business Administration and Data Science (BADS 2023)
PB  - Atlantis Press
SP  - 26
EP  - 35
SN  - 2589-4900
UR  - https://doi.org/10.2991/978-94-6463-326-9_4
DO  - 10.2991/978-94-6463-326-9_4
ID  - Ma2023
ER  -