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Modeling the Intention to Use Carbon Footprint Apps

  • Arno Sagawe
  • Burkhardt Funk
  • Peter Niemeyer
Conference paper
Part of the Springer Proceedings in Business and Economics book series (SPBE)

Abstract

Today, there is an increasing number of smartphone apps which support users to understand their personal carbon footprint that is being developed by them. But until now there are not many users. In this paper, we discuss the relevant concepts that drive intention of smartphone users to use carbon footprint apps (CFA). To do so, we apply the Technology Acceptance Model (TAM) and adapt it to the context of carbon footprint apps. Furthermore, we present the design of an empirical study with more than 200 participants. We suggest, to measure and discuss positive and negative effects on the intention to use CFA. This should help in future development of CFA.

Keywords

Environmental Concern Carbon Footprint Technology Acceptance Model Perceive Behavioral Control Perceive Usefulness 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  1. 1.Universität Lüneburg LeuphanaLüneburgGermany

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