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Modeling the Intention to Use Carbon Footprint Apps

In: Information Technology in Environmental Engineering

Author

Listed:
  • Arno Sagawe

    (Universität Lüneburg Leuphana)

  • Burkhardt Funk

    (Universität Lüneburg Leuphana)

  • Peter Niemeyer

    (Universität Lüneburg Leuphana)

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.

Suggested Citation

  • Arno Sagawe & Burkhardt Funk & Peter Niemeyer, 2016. "Modeling the Intention to Use Carbon Footprint Apps," Springer Proceedings in Business and Economics, in: Jorge Marx Gómez & Brenda Scholtz (ed.), Information Technology in Environmental Engineering, edition 1, pages 139-150, Springer.
    • Handle: RePEc:spr:prbchp:978-3-319-25153-0_12
    DOI: 10.1007/978-3-319-25153-0_12
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    Cited by:

    1. Suhyun Kang & Seungho Kim & Dongeun Lee & Sangyong Kim, 2020. "Inter-Floor Noise Monitoring System for Multi-Dwelling Houses Using Smartphones," Sustainability, MDPI, vol. 12(12), pages 1-13, June.
    2. Sobah Abbas Petersen & Idar Petersen & Peter Ahcin, 2020. "Smiling Earth—Raising Awareness among Citizens for Behaviour Change to Reduce Carbon Footprint," Energies, MDPI, vol. 13(22), pages 1-16, November.

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