Abstract
In a market economy with high degree of competition, the dissemination of Firm’s market information assumes lot of significance. In an information driven economy, any information dissemination is an important social process which creates huge amount of big data. Many times due to the lack of a healthy partnership between the practitioner of computer science, and social sciences, optimal utilization of the hidden patterns and meanings from the big data is missing. The information dissemination is similar to the spread of infectious disease through person to person transmission and spread within given population. Kermack- Mckendrick SIR (Susceptible-Infectious-Recovered) model explains the process of the viral spread in epidemiology. The model is adapted and used in various non-epidemic studies especially to understand the effect of product launch or the product itself, on the potential buyers over time. The model considers the impact of various information dissemination techniques in terms of transmission and spread. The model has been analysed by varying the transmission rate and recovery rate parameters to understand the firm’s information dissemination. The present model is good because it can capture the market dynamics and consumer behaviour on a real time basis more effectively.
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Notes
- 1.
The traditional social science data collection methods like surveys experiments involve the intervention of the researcher on the sample population.
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Amballoor, R.G., Naik, S.B. (2021). Dissemination of Firm’s Market Information: Application of Kermack-Mckendrick SIR Model. In: Singh, M., Tyagi, V., Gupta, P.K., Flusser, J., Ören, T., Sonawane, V.R. (eds) Advances in Computing and Data Sciences. ICACDS 2021. Communications in Computer and Information Science, vol 1441. Springer, Cham. https://doi.org/10.1007/978-3-030-88244-0_3
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