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Efficient combinations of dual incentives on social networks to achieve viral spread

The high penetration of online communication in social networks provides a perfect context for launching a viral marketing campaign. Viral marketing strategies with adoption and promotion incentives are applied by companies for acquiring customers and occupying the market rapidly. In this paper, mot...

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Detalles Bibliográficos
Autores principales: Shao, Jie-Hao, Zhang, E., Xiang, Yi, Jing, Ran-Zhe
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816549/
http://dx.doi.org/10.1007/s10660-022-09668-z
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author Shao, Jie-Hao
Zhang, E.
Xiang, Yi
Jing, Ran-Zhe
author_facet Shao, Jie-Hao
Zhang, E.
Xiang, Yi
Jing, Ran-Zhe
author_sort Shao, Jie-Hao
collection PubMed
description The high penetration of online communication in social networks provides a perfect context for launching a viral marketing campaign. Viral marketing strategies with adoption and promotion incentives are applied by companies for acquiring customers and occupying the market rapidly. In this paper, motivational thresholds and the SAN diffusion model are introduced to describe the massage diffusion process. Diffusion thresholds of dual incentives under homogeneous and heterogeneous networks are both deduced. We compare different effects of adoption and promotion incentives on marketing performances including the final penetration and the diffusion speed with numerical simulation. Simulation results show not only a greater influence of promotion incentives than adoption but also the necessity of adoption incentives for higher penetration. Besides, simulation results also show different diffusion characteristics between homogeneous and heterogenous networks, which provide management implications for selecting target customers with different network structures.
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spelling pubmed-98165492023-01-06 Efficient combinations of dual incentives on social networks to achieve viral spread Shao, Jie-Hao Zhang, E. Xiang, Yi Jing, Ran-Zhe Electron Commer Res Article The high penetration of online communication in social networks provides a perfect context for launching a viral marketing campaign. Viral marketing strategies with adoption and promotion incentives are applied by companies for acquiring customers and occupying the market rapidly. In this paper, motivational thresholds and the SAN diffusion model are introduced to describe the massage diffusion process. Diffusion thresholds of dual incentives under homogeneous and heterogeneous networks are both deduced. We compare different effects of adoption and promotion incentives on marketing performances including the final penetration and the diffusion speed with numerical simulation. Simulation results show not only a greater influence of promotion incentives than adoption but also the necessity of adoption incentives for higher penetration. Besides, simulation results also show different diffusion characteristics between homogeneous and heterogenous networks, which provide management implications for selecting target customers with different network structures. Springer US 2023-01-06 /pmc/articles/PMC9816549/ http://dx.doi.org/10.1007/s10660-022-09668-z Text en © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023, Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Shao, Jie-Hao
Zhang, E.
Xiang, Yi
Jing, Ran-Zhe
Efficient combinations of dual incentives on social networks to achieve viral spread
title Efficient combinations of dual incentives on social networks to achieve viral spread
title_full Efficient combinations of dual incentives on social networks to achieve viral spread
title_fullStr Efficient combinations of dual incentives on social networks to achieve viral spread
title_full_unstemmed Efficient combinations of dual incentives on social networks to achieve viral spread
title_short Efficient combinations of dual incentives on social networks to achieve viral spread
title_sort efficient combinations of dual incentives on social networks to achieve viral spread
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9816549/
http://dx.doi.org/10.1007/s10660-022-09668-z
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