Cargando…

Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution

Organizations increasingly introduce collaborative technologies in form of virtual assistants (VAs) to save valuable resources, especially when employees are assisted with work-related tasks. However, the effect of VAs on virtual teams and collaboration remains uncertain, particularly whether employ...

Descripción completa

Detalles Bibliográficos
Autores principales: Stieglitz, Stefan, Mirbabaie, Milad, Möllmann, Nicholas R. J., Rzyski, Jannik
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer US 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528661/
https://www.ncbi.nlm.nih.gov/pubmed/34697535
http://dx.doi.org/10.1007/s10796-021-10201-0
_version_ 1784586296032755712
author Stieglitz, Stefan
Mirbabaie, Milad
Möllmann, Nicholas R. J.
Rzyski, Jannik
author_facet Stieglitz, Stefan
Mirbabaie, Milad
Möllmann, Nicholas R. J.
Rzyski, Jannik
author_sort Stieglitz, Stefan
collection PubMed
description Organizations increasingly introduce collaborative technologies in form of virtual assistants (VAs) to save valuable resources, especially when employees are assisted with work-related tasks. However, the effect of VAs on virtual teams and collaboration remains uncertain, particularly whether employees show social loafing (SL) tendencies, i.e., applying less effort for collective tasks compared to working alone. While extant research indicates that VAs collaboratively working in teams exert greater results, less is known about SL in virtual collaboration and how responsibility attribution alters. An online experiment with N = 102 was conducted in which participants were assisted by a VA in solving a task. The results indicate SL tendencies in virtual collaboration with VAs and that participants tend to cede responsibility to the VA. This study makes a first foray and extends the information systems (IS) literature by analyzing SL and responsibility attribution thus updates our knowledge on virtual collaboration with VAs.
format Online
Article
Text
id pubmed-8528661
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Springer US
record_format MEDLINE/PubMed
spelling pubmed-85286612021-10-21 Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution Stieglitz, Stefan Mirbabaie, Milad Möllmann, Nicholas R. J. Rzyski, Jannik Inf Syst Front Article Organizations increasingly introduce collaborative technologies in form of virtual assistants (VAs) to save valuable resources, especially when employees are assisted with work-related tasks. However, the effect of VAs on virtual teams and collaboration remains uncertain, particularly whether employees show social loafing (SL) tendencies, i.e., applying less effort for collective tasks compared to working alone. While extant research indicates that VAs collaboratively working in teams exert greater results, less is known about SL in virtual collaboration and how responsibility attribution alters. An online experiment with N = 102 was conducted in which participants were assisted by a VA in solving a task. The results indicate SL tendencies in virtual collaboration with VAs and that participants tend to cede responsibility to the VA. This study makes a first foray and extends the information systems (IS) literature by analyzing SL and responsibility attribution thus updates our knowledge on virtual collaboration with VAs. Springer US 2021-10-21 2022 /pmc/articles/PMC8528661/ /pubmed/34697535 http://dx.doi.org/10.1007/s10796-021-10201-0 Text en © The Author(s) 2021 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) .
spellingShingle Article
Stieglitz, Stefan
Mirbabaie, Milad
Möllmann, Nicholas R. J.
Rzyski, Jannik
Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution
title Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution
title_full Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution
title_fullStr Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution
title_full_unstemmed Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution
title_short Collaborating with Virtual Assistants in Organizations: Analyzing Social Loafing Tendencies and Responsibility Attribution
title_sort collaborating with virtual assistants in organizations: analyzing social loafing tendencies and responsibility attribution
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8528661/
https://www.ncbi.nlm.nih.gov/pubmed/34697535
http://dx.doi.org/10.1007/s10796-021-10201-0
work_keys_str_mv AT stieglitzstefan collaboratingwithvirtualassistantsinorganizationsanalyzingsocialloafingtendenciesandresponsibilityattribution
AT mirbabaiemilad collaboratingwithvirtualassistantsinorganizationsanalyzingsocialloafingtendenciesandresponsibilityattribution
AT mollmannnicholasrj collaboratingwithvirtualassistantsinorganizationsanalyzingsocialloafingtendenciesandresponsibilityattribution
AT rzyskijannik collaboratingwithvirtualassistantsinorganizationsanalyzingsocialloafingtendenciesandresponsibilityattribution