IDEAS home Printed from https://ideas.repec.org/a/eee/teinso/v76y2024ics0160791x24000149.html
   My bibliography  Save this article

Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings

Author

Listed:
  • Behn, Oliver
  • Leyer, Michael
  • Iren, Deniz

Abstract

Detecting emotions in virtual meetings can be a demanding task for humans due to technological constraints of current videoconferencing systems. AI-based emotion analytics from speech is a promising technological option to provide helpful analyses for online business meetings, but might be perceived as scary as emotions are a sensitive topic. However, employees' acceptance of such a type of software is not understood properly yet as there are no offers on the market yet. To investigate potential users' intentions, we conducted a survey in 2021 as well as in 2023 with data from 470 employees in Germany with regard to a novel type of software analyzing emotions from speech on a group level in virtual meetings. We argue that employees' decision of acceptance bases on balancing different pros and cons for sticking with an existing behavior or using an emotion analytics software. A partial least squares (PLS) approach to structural equation modeling (SEM) was used to test the study's hypotheses. Our results show that attitude, perceived norms, perceived efficacy and perceived threats are significant predictors for the intention to accept such a software. At the same time, privacy concerns were only in 2023 a reason to reject the software. This paper contributes to a better understanding on why employees are willing to use emotion analytics software.

Suggested Citation

  • Behn, Oliver & Leyer, Michael & Iren, Deniz, 2024. "Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings," Technology in Society, Elsevier, vol. 76(C).
    • Handle: RePEc:eee:teinso:v:76:y:2024:i:c:s0160791x24000149
    DOI: 10.1016/j.techsoc.2024.102466
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0160791X24000149
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.techsoc.2024.102466?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. Manh-Tung Ho & Peter Mantello & Hong-Kong T. Nguyen & Quan-Hoang Vuong, 2021. "Correction: Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-2, December.
    2. Kelly D. Martin & Patrick E. Murphy, 2017. "The role of data privacy in marketing," Journal of the Academy of Marketing Science, Springer, vol. 45(2), pages 135-155, March.
    3. Manh-Tung Ho & Peter Mantello & Hong-Kong T. Nguyen & Quan-Hoang Vuong, 2021. "Affective computing scholarship and the rise of China: a view from 25 years of bibliometric data," Palgrave Communications, Palgrave Macmillan, vol. 8(1), pages 1-14, December.
    4. Yigitbasioglu, Ogan M. & Velcu, Oana, 2012. "A review of dashboards in performance management: Implications for design and research," International Journal of Accounting Information Systems, Elsevier, vol. 13(1), pages 41-59.
    5. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    6. Theodoros Giannakopoulos, 2015. "pyAudioAnalysis: An Open-Source Python Library for Audio Signal Analysis," PLOS ONE, Public Library of Science, vol. 10(12), pages 1-17, December.
    7. Mayew, William J. & Venkatachalam, Mohan, 2013. "Speech Analysis in Financial Markets," Foundations and Trends(R) in Accounting, now publishers, vol. 7(2), pages 73-130, March.
    8. Lisa Marie Giermindl & Franz Strich & Oliver Christ & Ulrich Leicht-Deobald & Abdullah Redzepi, 2022. "The dark sides of people analytics: reviewing the perils for organisations and employees," European Journal of Information Systems, Taylor & Francis Journals, vol. 31(3), pages 410-435, May.
    9. Schwambach, Gislene Cássia S. & López, Óscar Hernández & Sott, Michele Kremer & Carvalho Tedesco, Leonel Pablo & Molz, Rolf Fredi, 2022. "Acceptance and perception of wearable technologies: A survey on Brazilian and European companies," Technology in Society, Elsevier, vol. 68(C).
    10. repec:ucp:bkecon:9780226316529 is not listed on IDEAS
    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. Al-Emran, Mostafa & Deveci, Muhammet, 2024. "Unlocking the potential of cybersecurity behavior in the metaverse: Overview, opportunities, challenges, and future research agendas," Technology in Society, Elsevier, vol. 77(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. Peter Mantello & Manh-Tung Ho & Minh-Hoang Nguyen & Quan-Hoang Vuong, 2023. "Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-16, December.
    2. Ho, Manh-Tung & Le, Ngoc-Thang B. & Mantello, Peter & Ho, Manh-Toan & Ghotbi, Nader, 2023. "Understanding the acceptance of emotional artificial intelligence in Japanese healthcare system: A cross-sectional survey of clinic visitors’ attitude," Technology in Society, Elsevier, vol. 72(C).
    3. Carlos Lamela-Orcasitas & Jesús García-Madariaga, 2023. "How to really quantify the economic value of customer information in corporate databases," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-13, December.
    4. Ho, Manh-Tung & Mantello, Peter & Ghotbi, Nader & Nguyen, Minh-Hoang & Nguyen, Hong-Kong T. & Vuong, Quan-Hoang, 2022. "Rethinking technological acceptance in the age of emotional AI: Surveying Gen Z (Zoomer) attitudes toward non-conscious data collection," Technology in Society, Elsevier, vol. 70(C).
    5. Ritu Agarwal & Michelle Dugas & Guodong (Gordon) Gao & P. K. Kannan, 2020. "Emerging technologies and analytics for a new era of value-centered marketing in healthcare," Journal of the Academy of Marketing Science, Springer, vol. 48(1), pages 9-23, January.
    6. Chen, Yanyan & Mandler, Timo & Meyer-Waarden, Lars, 2021. "Three decades of research on loyalty programs: A literature review and future research agenda," Journal of Business Research, Elsevier, vol. 124(C), pages 179-197.
    7. Peters, Matt D. & Wieder, Bernhard & Sutton, Steve G. & Wakefield, James, 2016. "Business intelligence systems use in performance measurement capabilities: Implications for enhanced competitive advantage," International Journal of Accounting Information Systems, Elsevier, vol. 21(C), pages 1-17.
    8. Mathieu Chevrier & Vincent Teixeira, 2024. "Algorithm Delegation and Responsibility: Shifting Blame to the Programmer?," GREDEG Working Papers 2024-04, Groupe de REcherche en Droit, Economie, Gestion (GREDEG CNRS), Université Côte d'Azur, France, revised Sep 2024.
    9. Gajendra Liyanaarachchi & Giampaolo Viglia & Fidan Kurtaliqi, 2024. "Addressing challenges of digital transformation with modified blockchain," Post-Print hal-04440365, HAL.
    10. Brewis, Claire & Dibb, Sally & Meadows, Maureen, 2023. "Leveraging big data for strategic marketing: A dynamic capabilities model for incumbent firms," Technological Forecasting and Social Change, Elsevier, vol. 190(C).
    11. Cheah, Jun-Hwa & Lim, Xin-Jean & Ting, Hiram & Liu, Yide & Quach, Sara, 2022. "Are privacy concerns still relevant? Revisiting consumer behaviour in omnichannel retailing," Journal of Retailing and Consumer Services, Elsevier, vol. 65(C).
    12. Khai Loon Lee & Afiq Muqri Bin Shaharud-din, 2022. "Procurement 4.0 and Organizational Performance in the Malaysian Construction Industry," International Journal of Service Science, Management, Engineering, and Technology (IJSSMET), IGI Global, vol. 13(1), pages 1-22, January.
    13. Dilla, William N. & Raschke, Robyn L., 2015. "Data visualization for fraud detection: Practice implications and a call for future research," International Journal of Accounting Information Systems, Elsevier, vol. 16(C), pages 1-22.
    14. Kocsis, David, 2019. "A conceptual foundation of design and implementation research in accounting information systems," International Journal of Accounting Information Systems, Elsevier, vol. 34(C), pages 1-1.
    15. Hutchison, Paul D. & Daigle, Ronald J. & George, Benjamin, 2018. "Application of latent semantic analysis in AIS academic research," International Journal of Accounting Information Systems, Elsevier, vol. 31(C), pages 83-96.
    16. Reinartz, Werner & Wiegand, Nico & Imschloss, Monika, 2019. "The impact of digital transformation on the retailing value chain," International Journal of Research in Marketing, Elsevier, vol. 36(3), pages 350-366.
    17. Lena Steinhoff & Denni Arli & Scott Weaven & Irina V. Kozlenkova, 2019. "Online relationship marketing," Journal of the Academy of Marketing Science, Springer, vol. 47(3), pages 369-393, May.
    18. Oghazi, Pejvak & Schultheiss, Rakel & Chirumalla, Koteshwar & Kalmer, Nicolas Philipp & Rad, Fakhreddin F., 2020. "User self-disclosure on social network sites: A cross-cultural study on Facebook’s privacy concepts," Journal of Business Research, Elsevier, vol. 112(C), pages 531-540.
    19. Pallant, Jason I. & Pallant, Jessica L. & Sands, Sean J. & Ferraro, Carla R. & Afifi, Eslam, 2022. "When and how consumers are willing to exchange data with retailers: An exploratory segmentation," Journal of Retailing and Consumer Services, Elsevier, vol. 64(C).
    20. Sophie Hemker & Carolina Herrando & Efthymios Constantinides, 2021. "The Transformation of Data Marketing: How an Ethical Lens on Consumer Data Collection Shapes the Future of Marketing," Sustainability, MDPI, vol. 13(20), pages 1-13, October.

    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:eee:teinso:v:76:y:2024:i:c:s0160791x24000149. 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: Catherine Liu (email available below). General contact details of provider: https://www.journals.elsevier.com/technology-in-society .

    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.