The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model
The negative impact of brand negative online word-of-mouth (OWOM) on social images in social media is far greater than the promotion of positive OWOM. Thus, how to optimize brand image by improving the positive OWOM effect and slowing the negative OWOM communication has turned into an urgent problem...
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doaj-4381319b4036442fa54c11c0e25779ec2020-11-25T00:29:06ZengMDPI AGInformation2078-24892020-03-0111314010.3390/info11030140info11030140The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing ModelMengjie Liao0Lin Qi1Jian Zhang2College of Economics and Management, China Agricultural University, Beijing 100083, ChinaCollege of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, ChinaCollege of Economics and Management, Beijing Information Science and Technology University, Beijing 100192, ChinaThe negative impact of brand negative online word-of-mouth (OWOM) on social images in social media is far greater than the promotion of positive OWOM. Thus, how to optimize brand image by improving the positive OWOM effect and slowing the negative OWOM communication has turned into an urgent problem for brand enterprises. On this basis, we analyze the evolution process of the OWOM communication group of the social media brand network based on the SOR (stimulus-organism-response) theory of psychology. Through constructing the heterogeneous brand OWOM communication dynamic model and conducting the multi-agent-based simulation experiment, the dynamic visualization of brand OWOM communication effect combined the thinking model of viral marketing is realized. Experiments show that the ability of brand communicators to persuade has a direct impact on the persistence and breadth of brand communication. When the acceptance of the consumer market is high, the negative OWOM of the brand has a relatively huge impact on consumers.https://www.mdpi.com/2078-2489/11/3/140owom (online word-of-mouth)computational experimentsorinformation dissemination model |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Mengjie Liao Lin Qi Jian Zhang |
spellingShingle |
Mengjie Liao Lin Qi Jian Zhang The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model Information owom (online word-of-mouth) computational experiment sor information dissemination model |
author_facet |
Mengjie Liao Lin Qi Jian Zhang |
author_sort |
Mengjie Liao |
title |
The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model |
title_short |
The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model |
title_full |
The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model |
title_fullStr |
The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model |
title_full_unstemmed |
The Dynamic Evolution Mechanism of Heterogeneous OWOM—An Improved Viral Marketing Model |
title_sort |
dynamic evolution mechanism of heterogeneous owom—an improved viral marketing model |
publisher |
MDPI AG |
series |
Information |
issn |
2078-2489 |
publishDate |
2020-03-01 |
description |
The negative impact of brand negative online word-of-mouth (OWOM) on social images in social media is far greater than the promotion of positive OWOM. Thus, how to optimize brand image by improving the positive OWOM effect and slowing the negative OWOM communication has turned into an urgent problem for brand enterprises. On this basis, we analyze the evolution process of the OWOM communication group of the social media brand network based on the SOR (stimulus-organism-response) theory of psychology. Through constructing the heterogeneous brand OWOM communication dynamic model and conducting the multi-agent-based simulation experiment, the dynamic visualization of brand OWOM communication effect combined the thinking model of viral marketing is realized. Experiments show that the ability of brand communicators to persuade has a direct impact on the persistence and breadth of brand communication. When the acceptance of the consumer market is high, the negative OWOM of the brand has a relatively huge impact on consumers. |
topic |
owom (online word-of-mouth) computational experiment sor information dissemination model |
url |
https://www.mdpi.com/2078-2489/11/3/140 |
work_keys_str_mv |
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1725333392704143360 |