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KlimaKarl – A Chatbot to Promote Employees’ Climate-Friendly Behavior in an Office Setting

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The Next Wave of Sociotechnical Design (DESRIST 2021)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 12807))

Abstract

Environmental protection is a central challenge these days. At the same time, digital technologies have experienced tremendous technical progress in recent years and their potentials to support firms’ sustainability strategies and corporate social responsibility efforts are intensively discussed. In this respect, companies search for efficient ways to trigger a change of employee behavior in terms of climate-friendly practices. We propose chatbots as a promising technology to promote the climate-friendly behavior of employees. Following a Design Science Research (DSR) procedure, we develop a chatbot prototype called KlimaKarl to sensitize the workforce to behave in a more climate-conscious way in the everyday office life. We show that chatbots may be a suitable instrument to promote employees’ climate-friendly behavior.

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Notes

  1. 1.

    The questionnaire is available at: https://tinyurl.com/y6mbbwnf.

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Author information

Authors and Affiliations

  1. Bern University of Applied Sciences, Bern, Switzerland

    Kirsten Hillebrand

  2. University of Applied Sciences Schmalkalden, Schmalkalden, Germany

    Florian Johannsen

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  1. Kirsten Hillebrand
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  2. Florian Johannsen
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Correspondence to Kirsten Hillebrand .

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Editors and Affiliations

  1. University of Liechtenstein, Vaduz, Liechtenstein

    Leona Chandra Kruse

  2. University of Liechtenstein, Vaduz, Liechtenstein

    Stefan Seidel

  3. University of Agder, Kristiansand, Norway

    Geir Inge Hausvik

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Hillebrand, K., Johannsen, F. (2021). KlimaKarl – A Chatbot to Promote Employees’ Climate-Friendly Behavior in an Office Setting. In: Chandra Kruse, L., Seidel, S., Hausvik, G.I. (eds) The Next Wave of Sociotechnical Design. DESRIST 2021. Lecture Notes in Computer Science(), vol 12807. Springer, Cham. https://doi.org/10.1007/978-3-030-82405-1_1

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  • DOI: https://doi.org/10.1007/978-3-030-82405-1_1

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