Word-Of-Mouth and estimating demand based on network structure and epidemic models
Mostafa Pazoki and
Hamed Samarghandi
European Journal of Operational Research, 2021, vol. 291, issue 1, 323-334
Abstract:
Word Of Mouth (WOM) is proved to be important in diffusing information to the uninformed people and affecting their buying intentions. In this paper, the social network built upon the trust between the members of a society is considered as the target market, and WOM is treated as a contagious infection whose diffusion depends on the social network’s structure. Accordingly, we construct a framework using Susceptible-Infected-Susceptible (SIS) epidemic model to derive demand functions based on the type of the network, price, average network density, and advertising level. For scale-free and regular (as a benchmark) networks, the demand functions are derived, and then the optimum pricing and advertising policies are obtained, accordingly. It is concluded that in a denser network, price and advertising levels are higher. Furthermore, network-based model shows that price sensitivity of demand is lower (higher) for lower (higher) prices. Moreover, it is concluded that the optimum price in a heterogeneous social network (i.e. with a few members having many links and many members having a few links) is higher than that of a homogeneous network.
Keywords: Word-Of-Mouth; OR in marketing; Epidemic models; Network structure; Demand estimation (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)
Downloads: (external link)
http://www.sciencedirect.com/science/article/pii/S0377221720307888
Full text for ScienceDirect subscribers only
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:eee:ejores:v:291:y:2021:i:1:p:323-334
DOI: 10.1016/j.ejor.2020.09.004
Access Statistics for this article
European Journal of Operational Research is currently edited by Roman Slowinski, Jesus Artalejo, Jean-Charles. Billaut, Robert Dyson and Lorenzo Peccati
More articles in European Journal of Operational Research from Elsevier
Bibliographic data for series maintained by Catherine Liu ().