IDEAS home Printed from https://ideas.repec.org/p/dar/wpaper/123630.html
   My bibliography  Save this paper

A Service Robot Acceptance Model: User acceptance of humanoid robots during service encounters

Author

Listed:
  • Stock, Ruth
  • Merkle, Moritz

Abstract

No abstract is available for this item.

Suggested Citation

  • Stock, Ruth & Merkle, Moritz, 2017. "A Service Robot Acceptance Model: User acceptance of humanoid robots during service encounters," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 123630, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    • Handle: RePEc:dar:wpaper:123630
    Note: for complete metadata visit http://tubiblio.ulb.tu-darmstadt.de/123630/
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Muzi Xie & Hong-bumm Kim, 2022. "User Acceptance of Hotel Service Robots Using the Quantitative Kano Model," Sustainability, MDPI, vol. 14(7), pages 1-20, March.
    2. Stanislav Ivanov & Faruk Seyitoğlu & Martina Markova, 2020. "Hotel managers’ perceptions towards the use of robots: a mixed-methods approach," Information Technology & Tourism, Springer, vol. 22(4), pages 505-535, December.
    3. Song, Christina Soyoung & Kim, Youn-Kyung, 2022. "The role of the human-robot interaction in consumers’ acceptance of humanoid retail service robots," Journal of Business Research, Elsevier, vol. 146(C), pages 489-503.
    4. Min-Kyu Kwak & JeungSun Lee & Seong-Soo Cha, 2021. "Senior Consumer Motivations and Perceived Value of Robot Service Restaurants in Korea," Sustainability, MDPI, vol. 13(5), pages 1-15, March.
    5. Ivanov, Stanislav Hristov & Webster, Craig & Stoilova, Elitza & Slobodskoy, Daniel, 2020. "Biosecurity, crisis management, automation technologies, and economic performance of travel, tourism and hospitality companies – a conceptual framework," SocArXiv 2hx6f, Center for Open Science.
    6. Stanislav Hristov Ivanov & Craig Webster & Elitza Stoilova & Daniel Slobodskoy, 2022. "Biosecurity, crisis management, automation technologies and economic performance of travel, tourism and hospitality companies – A conceptual framework," Tourism Economics, , vol. 28(1), pages 3-26, February.
    7. Rawal, Niyati & Stock-Homburg, Ruth, 2022. "Facial Emotion Expressions in Human–Robot Interaction: A Survey," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 133073, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    8. Khan, Ali Nawaz & Jabeen, Fauzia & Mehmood, Khalid & Ali Soomro, Mohsin & Bresciani, Stefano, 2023. "Paving the way for technological innovation through adoption of artificial intelligence in conservative industries," Journal of Business Research, Elsevier, vol. 165(C).
    9. Stock-Homburg, Ruth & Kirchhoff, Jérôme & Heinisch, Judith S. & Ebert, Andreas & Busch, Philip & Rawal, Niyati & David, Klaus & Wendt, Janine & Spiecker gen. Döhmann, Indra & Stryk, Oskar von & Hannig, 2022. "Responsible Human-Robot Interaction with Anthropomorphic Service Robots: State of the Art of an Interdisciplinary Research Challenge," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 130084, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    10. Jinkyung Jenny Kim & Heesup Han, 2022. "Hotel Service Innovation with Smart Technologies: Exploring Consumers’ Readiness and Behaviors," Sustainability, MDPI, vol. 14(10), pages 1-15, May.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:dar:wpaper:123630. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Dekanatssekretariat (email available below). General contact details of provider: https://edirc.repec.org/data/ivthdde.html .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.