The potentials of artificial intelligence (AI) are manifold and their discussion has gained momentum in research and practice. In the same realm, AI also raises fears among employees of being replaced by AI technologies and, therefore, shying away from using it. Generally, employees want to be empowered to do their job and seek both more responsibility, as well as make their own decisions. In this paper, we conduct a systematic literature review that investigates the current state of the literature on the potential empowering effects of AI-based human-machine behavior. We thus sorted the literature into three behavioral categories: humans shape machine behavior, machines shape human behavior, human-machine co-behavior and crossed them with psychological empowerment dimensions of significance, competence, self-determination, and influence. Our results show corresponding literature streams and provide future research directions in a field that is likely to disrupt the way we work in the future.
%0 Conference Paper
%1 ls_leimeister
%A Akmeikina, Elisabeth
%A Eilers, Karen
%A Li, Mahei Manhai
%A Peters, Christoph
%B Pacific Asia Conference on Information Systems (PACIS)
%C Taipei/Sidney
%D 2022
%K artificial_intelligence effects_of_AI employee_centricity empowerment hybrid_intelligence itegpub pub_cpe pub_kei pub_mli
%T Empowerment Effects in Human-machine Collaboration - A Systematic Literature Review and Directions on Hybrid Intelligence Behavior Patterns
%U http://pubs.wi-kassel.de/wp-content/uploads/2022/08/JML_885.pdf
%X The potentials of artificial intelligence (AI) are manifold and their discussion has gained momentum in research and practice. In the same realm, AI also raises fears among employees of being replaced by AI technologies and, therefore, shying away from using it. Generally, employees want to be empowered to do their job and seek both more responsibility, as well as make their own decisions. In this paper, we conduct a systematic literature review that investigates the current state of the literature on the potential empowering effects of AI-based human-machine behavior. We thus sorted the literature into three behavioral categories: humans shape machine behavior, machines shape human behavior, human-machine co-behavior and crossed them with psychological empowerment dimensions of significance, competence, self-determination, and influence. Our results show corresponding literature streams and provide future research directions in a field that is likely to disrupt the way we work in the future.
@inproceedings{ls_leimeister,
abstract = {The potentials of artificial intelligence (AI) are manifold and their discussion has gained momentum in research and practice. In the same realm, AI also raises fears among employees of being replaced by AI technologies and, therefore, shying away from using it. Generally, employees want to be empowered to do their job and seek both more responsibility, as well as make their own decisions. In this paper, we conduct a systematic literature review that investigates the current state of the literature on the potential empowering effects of AI-based human-machine behavior. We thus sorted the literature into three behavioral categories: humans shape machine behavior, machines shape human behavior, human-machine co-behavior and crossed them with psychological empowerment dimensions of significance, competence, self-determination, and influence. Our results show corresponding literature streams and provide future research directions in a field that is likely to disrupt the way we work in the future.},
added-at = {2022-08-25T12:36:17.000+0200},
address = {Taipei/Sidney},
author = {Akmeikina, Elisabeth and Eilers, Karen and Li, Mahei Manhai and Peters, Christoph},
biburl = {https://www.bibsonomy.org/bibtex/2f2c69dab12f7050ecfc5b4b115c416b8/ls_leimeister},
booktitle = {Pacific Asia Conference on Information Systems (PACIS)},
eventdate = {05-09 Jul 2022},
eventtitle = {Pacific Asia Conference on Information Systems (PACIS)},
interhash = {3479955c4d7ce87e724bf53946be53e9},
intrahash = {f2c69dab12f7050ecfc5b4b115c416b8},
keywords = {artificial_intelligence effects_of_AI employee_centricity empowerment hybrid_intelligence itegpub pub_cpe pub_kei pub_mli},
language = {English},
timestamp = {2022-08-25T14:59:03.000+0200},
title = {Empowerment Effects in Human-machine Collaboration - A Systematic Literature Review and Directions on Hybrid Intelligence Behavior Patterns},
url = {http://pubs.wi-kassel.de/wp-content/uploads/2022/08/JML_885.pdf},
venue = {Taipei/Sidney},
year = 2022
}