IDEAS home Printed from https://ideas.repec.org/a/spr/elmark/v32y2022i1d10.1007_s12525-021-00493-0.html
   My bibliography  Save this article

AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants

Author

Listed:
  • Olivia Hornung

    (University of Hagen)

  • Stefan Smolnik

    (University of Hagen)

Abstract

Personal virtual assistants (PVAs) based on artificial intelligence are frequently used in private contexts but have yet to find their way into the workplace. Regardless of their potential value for organizations, the relentless implementation of PVAs at the workplace is likely to run into employee resistance. To understand what motivates such resistance, it is necessary to investigate the primary motivators of human behavior, namely emotions. This paper uncovers emotions related to organizational PVA use, primarily focusing on threat emotions. To achieve our goal, we conducted an in-depth qualitative study, collecting data from 45 employees in focus-group discussions and individual interviews. We identified and categorized emotions according to the framework for classifying emotions Beaudry and Pinsonneault (2010) designed. Our results show that loss emotions, such as dissatisfaction and frustration, as well as deterrence emotions, such as fear and worry, constitute valuable cornerstones for the boundaries of organizational PVA use.

Suggested Citation

  • Olivia Hornung & Stefan Smolnik, 2022. "AI invading the workplace: negative emotions towards the organizational use of personal virtual assistants," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(1), pages 123-138, March.
    • Handle: RePEc:spr:elmark:v:32:y:2022:i:1:d:10.1007_s12525-021-00493-0
    DOI: 10.1007/s12525-021-00493-0
    as

    Download full text from publisher

    File URL: http://link.springer.com/10.1007/s12525-021-00493-0
    File Function: Abstract
    Download Restriction: Access to the full text of the articles in this series is restricted.
    File URL: https://libkey.io/10.1007/s12525-021-00493-0?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Richins, Marsha L, 1997. "Measuring Emotions in the Consumption Experience," Journal of Consumer Research, Journal of Consumer Research Inc., vol. 24(2), pages 127-146, September.
    2. Adam, Martin & Wessel, Michael & Benlian, Alexander, 2020. "AI-based chatbots in customer service and their effects on user compliance," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 119304, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    3. Antonella Delle Fave & Ingrid Brdar & Teresa Freire & Dianne Vella-Brodrick & Marié Wissing, 2011. "The Eudaimonic and Hedonic Components of Happiness: Qualitative and Quantitative Findings," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 100(2), pages 185-207, January.
    4. Alexander Maedche & Christine Legner & Alexander Benlian & Benedikt Berger & Henner Gimpel & Thomas Hess & Oliver Hinz & Stefan Morana & Matthias Söllner, 2019. "AI-Based Digital Assistants," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 61(4), pages 535-544, August.
    5. Elfenbein, Hillary Anger, 2007. "Emotion in Organizations: A Review in Stages," Institute for Research on Labor and Employment, Working Paper Series qt2bn0n9mv, Institute of Industrial Relations, UC Berkeley.
    6. Gursoy, Dogan & Chi, Oscar Hengxuan & Lu, Lu & Nunkoo, Robin, 2019. "Consumers acceptance of artificially intelligent (AI) device use in service delivery," International Journal of Information Management, Elsevier, vol. 49(C), pages 157-169.
    Full references (including those not matched with items on IDEAS)

    Citations

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


    Cited by:

    1. Borragán, G. & Ortiz, M. & Böning, J. & Fowler, B. & Dominguez, F. & Valkering, P. & Gerard, H., 2024. "Consumers’ adoption characteristics of distributed energy resources and flexible loads behind the meter," Renewable and Sustainable Energy Reviews, Elsevier, vol. 203(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Garaus, Marion & Wagner, Udo, 2016. "Retail shopper confusion: Conceptualization, scale development, and consequences," Journal of Business Research, Elsevier, vol. 69(9), pages 3459-3467.
    2. Aubel Martin & Pikturniene Indre & Joye Yannick, 2022. "Risk Perception and Risk Behavior in Response to Service Robot Anthropomorphism in Banking," Journal of Management and Business Administration. Central Europe, Sciendo, vol. 30(2), pages 26-42, June.
    3. Andrew E. Clark, 2015. "SWB as a Measure of Individual Well-Being," Working Papers halshs-01134483, HAL.
    4. Shrutika Mishra & A. R. Tripathi, 2021. "AI business model: an integrative business approach," Journal of Innovation and Entrepreneurship, Springer, vol. 10(1), pages 1-21, December.
    5. Heyes, Anthony & Kapur, Sandeep, 2012. "Angry customers, e-word-of-mouth and incentives for quality provision," Journal of Economic Behavior & Organization, Elsevier, vol. 84(3), pages 813-828.
    6. Chu, Zhaofang & Feng, Bo & Lai, Fujun, 2018. "Logistics service innovation by third party logistics providers in China: Aligning guanxi and organizational structure," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 291-307.
    7. Erik Carlquist & Pål Ulleberg & Antonella Delle Fave & Hilde E. Nafstad & Rolv M. Blakar, 2017. "Everyday Understandings of Happiness, Good Life, and Satisfaction: Three Different Facets of Well-being," Applied Research in Quality of Life, Springer;International Society for Quality-of-Life Studies, vol. 12(2), pages 481-505, June.
    8. Pelau Corina & Barbul Maria, 2021. "Consumers’ perception on the use of cognitive computing," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 15(1), pages 639-649, December.
    9. Sara Moussawi & Marios Koufaris & Raquel Benbunan-Fich, 2021. "How perceptions of intelligence and anthropomorphism affect adoption of personal intelligent agents," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(2), pages 343-364, June.
    10. Gountas, John & Gountas, Sandra, 2007. "Personality orientations, emotional states, customer satisfaction, and intention to repurchase," Journal of Business Research, Elsevier, vol. 60(1), pages 72-75, January.
    11. Ryang Suk Lee & Sheng Yen Lee, 2023. "Analysis of Relationship between Service Quality of Food and Beverage and Customer Behaviors for Sustainable Golf Course Management," Sustainability, MDPI, vol. 15(14), pages 1-19, July.
    12. Marta Kadłubek & Eleftherios Thalassinos & Joanna Domagała & Sandra Grabowska & Sebastian Saniuk, 2022. "Intelligent Transportation System Applications and Logistics Resources for Logistics Customer Service in Road Freight Transport Enterprises," Energies, MDPI, vol. 15(13), pages 1-27, June.
    13. Chaudhuri, Arjun & Ligas, Mark, 2009. "Consequences of Value in Retail Markets," Journal of Retailing, Elsevier, vol. 85(3), pages 406-419.
    14. Tao Zhang & Chao Feng & Hui Chen & Junjie Xian, 2022. "Calming the customers by AI: Investigating the role of chatbot acting-cute strategies in soothing negative customer emotions," Electronic Markets, Springer;IIM University of St. Gallen, vol. 32(4), pages 2277-2292, December.
    15. Grimm, Pamela E., 2005. "Ab components' impact on brand preference," Journal of Business Research, Elsevier, vol. 58(4), pages 508-517, April.
    16. Poushneh, Atieh, 2021. "Impact of auditory sense on trust and brand affect through auditory social interaction and control," Journal of Retailing and Consumer Services, Elsevier, vol. 58(C).
    17. Hezhi Chen & Zhijia Zeng, 2023. "Seeking Pleasure is Good, but Avoiding Pain is Bad: Distinguishing Hedonic Approach from Hedonic Avoidance Orientations," Journal of Happiness Studies, Springer, vol. 24(7), pages 2377-2393, October.
    18. Vanhamme, J., 2003. "Surprise... Surprise..., An Empirical Investigation on How Surprise is Connected to Customer Satisfaction," ERIM Report Series Research in Management ERS-2003-005-MKT, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    19. Florian Brachten & Felix Brünker & Nicholas R. J. Frick & Björn Ross & Stefan Stieglitz, 0. "On the ability of virtual agents to decrease cognitive load: an experimental study," Information Systems and e-Business Management, Springer, vol. 0, pages 1-21.
    20. Jacky C. K. Ng & Algae K. Y. Au & Helen S. M. Wong & Carmen K. M. Sum & Victor C. Y. Lau, 2021. "Does Dispositional Envy Make You Flourish More (or Less) in Life? An Examination of Its Longitudinal Impact and Mediating Mechanisms Among Adolescents and Young Adults," Journal of Happiness Studies, Springer, vol. 22(3), pages 1089-1117, March.

    More about this item

    Keywords

    Artificial intelligence; Emotions; Personal virtual assistants; Interview study; Technology aversion; Appraisal theory;
    All these keywords.

    JEL classification:

    • O - Economic Development, Innovation, Technological Change, and Growth
    • O3 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights
    • O33 - Economic Development, Innovation, Technological Change, and Growth - - Innovation; Research and Development; Technological Change; Intellectual Property Rights - - - Technological Change: Choices and Consequences; Diffusion Processes

    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:spr:elmark:v:32:y:2022:i:1:d:10.1007_s12525-021-00493-0. 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.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.