A Review of Diffusion Models and their Applicability on App-based Services in India

dc.contributor.authorPanwar, Tapish
dc.date.accessioned2025-10-07T09:13:30Z
dc.date.available2025-10-07T09:13:30Z
dc.date.issued2025
dc.descriptionISME
dc.description.abstractBackground: Diffusion models have been used for over half a century to predict the spread of innovations, products, and services in target strata. However, the applicability and relevance of diffusion models for the new age app-based consumer services have not been researched, especially in developing markets like India. Purpose: This paper identifies gaps in the two founding theories on diffusion– Rogers' Diffusion of Innovation Model and Bass' Diffusion Model concerning app-based consumer services in India, and attempts to deploy these theories on the diffusion of new-age applications. Methods: The paper critically examines the diffusion theories to extract implementation gaps in the new-age platform applications. Further, it works towards proposing a reduced form equation by including a dampener in the traditional diffusion model equation offered by Bass, which can represent the diffusion curve for app-based services and thus explain the diffusion better. Findings: A set of enablers and disablers is identified through this research, influencing the diffusion of new-age applications. Including these elements explains diffusion from the source and medium points of view. Conclusion: Enhanced understanding of the diffusion of service applications among the population shall help app-driven businesses efficiently build products that are well accepted and adopted by the target population.
dc.identifier.urihttps://atlasuniversitylibraryir.in/handle/123456789/1199
dc.language.isoen
dc.publisherQuest Journal of Management and Social Sciences
dc.subjectDiffusion
dc.subjectInnovation
dc.subjectDiffusion of Innovation
dc.subjectService Apps
dc.subjectOn-demand Application
dc.titleA Review of Diffusion Models and their Applicability on App-based Services in India
dc.typeArticle

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