Utilize este identificador para referenciar este registo: http://hdl.handle.net/10362/15267
Título: DYNAMOD – A dynamic agent based modelling framework for digital businesses
Autor: Zutshi, Aneesh
Orientador: Grilo, António
Gonçalves, Ricardo
Palavras-chave: Business model
Digital business
Agent based modeling
Simulation
Optimization
Data de Defesa: Fev-2015
Resumo: Digital Businesses have become a major driver for economic growth and have seen an explosion of new startups. At the same time, it also includes mature enterprises that have become global giants in a relatively short period of time. Digital Businesses have unique characteristics that make the running and management of a Digital Business much different from traditional offline businesses. Digital businesses respond to online users who are highly interconnected and networked. This enables a rapid flow of word of mouth, at a pace far greater than ever envisioned when dealing with traditional products and services. The relatively low cost of incremental user addition has led to a variety of innovation in pricing of digital products, including various forms of free and freemium pricing models. This thesis explores the unique characteristics and complexities of Digital Businesses and its implications on the design of Digital Business Models and Revenue Models. The thesis proposes an Agent Based Modeling Framework that can be used to develop Simulation Models that simulate the complex dynamics of Digital Businesses and the user interactions between users of a digital product. Such Simulation models can be used for a variety of purposes such as simple forecasting, analysing the impact of market disturbances, analysing the impact of changes in pricing models and optimising the pricing for maximum revenue generation or a balance between growth in usage and revenue generation. These models can be developed for a mature enterprise with a large historical record of user growth rate as well as for early stage enterprises without much historical data. Through three case studies, the thesis demonstrates the applicability of the Framework and its potential applications.
URI: http://hdl.handle.net/10362/15267
Designação: Dissertação
Aparece nas colecções:FCT: DEMI - Teses de Doutoramento

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