Psychographic and Cognitive Human Factor Modeling in Decision Support Systems for Building Personalized Product Ecosystems

Alberts Pumpurs

Abstract

There are countless products build and launched every day. A growing number of possibilities for the consumer increases competition between similar products and product developers voluntarily or involuntarily are creating product ecosystems to stay competitive or relevant. As the products tend to form ecosystems, then for users it less decision of which product, instead of more of which ecosystem to buy into. This poses new challenges for product and ecosystem developers, how to comply with true user needs, and which are worth investing in. This position paper discusses the possibility that psychographic and cognitive human factor modeling could be the way to understand users and build personalized ecosystems using the decision support system. Following position, the paper is a proposal for future research in developing such decision support and conceptual model of user data and its relationship is proposed.

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