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Success prediction induction framework : success models for online applications, introducing network effects and trust constructs

Fountain, Stefan J. (2007) Success prediction induction framework : success models for online applications, introducing network effects and trust constructs.

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Abstract:This thesis analyses the broad scope of information systems success models and applies these principles to the online application domain. It argues that network effects and trust are missing constructs that need to be included into online application success models. A study of existing literature on 'network effects' and 'trust' is performed and from this literature the constructs are introduced into the existing models. These existing models are the DeLone and MacLean model of information success and the Unified Theory of Adoption and Use of Technology. The thesis introduces an improved success model based on these two models: the Success Performance Induction Framework. This model offers a five window view on success for online organizations. The five windows are: organizational perspective, users perspective, in uencing perceptions view, positive feedback view and a product life-cycle view. The organizational view offers a general overview of the success constructs and shows causal relations from an organizational perspective. The users' view offers the perspective on how adoption decisions of (potential) users are made. The in uencing perceptions view outlines causal relations to influence users' perceptions. The positive feedback view shows how network effect relations increase the quality characteristics of an online organization. These postivie feedback effects are dependent on adequate network facilitation methods. The last view is the product life-cycle view, which helps identify what phase the online application is in and what target audience is relevant in that phase. Together these views offer a deeper understanding of success in online applications for practitioners and theorists.
Item Type:Essay (Master)
Clients:
Da Capo Al Fine
Faculty:EEMCS: Electrical Engineering, Mathematics and Computer Science
Subject:54 computer science
Programme:Business Information Technology MSc (60025)
Link to this item:http://purl.utwente.nl/essays/686
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