Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace

As workplace environments evolve with the integration of artificial intelligence (AI), understanding its impact on employee behaviour and organisational culture becomes critical. This study investigates the influence of AI- based technologies on creating safe and respectful work atmospheres, focusin...

ver descrição completa

Detalhes bibliográficos
Autores: Gómez Gandía, José Andrés, Lucas Ancillo, Antonio de, Val Núñez, María Teresa del
Formato: artículo
Fecha de publicación:2025
País:España
Recursos:Universidad de Alcalá (UAH)
Repositorio:e_Buah Biblioteca Digital Universidad de Alcalá
Idioma:inglés
OAI Identifier:oai:ebuah.uah.es:10017/67674
Acesso em linha:http://hdl.handle.net/10017/67674
https://dx.doi.org/10.1016/j.jik.2025.100750
Access Level:acceso abierto
Palavra-chave:Artificial intelligence
Employee behaviour
Workplace behaviour
Innovative work behaviour
Organisational behaviour
Job satisfaction
Employee engagement
Empresa
Management science
id ES_3ce4b40ad228e85615b6cf537112cd75
oai_identifier_str oai:ebuah.uah.es:10017/67674
network_acronym_str ES
network_name_str España
repository_id_str
spelling Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplaceGómez Gandía, José AndrésLucas Ancillo, Antonio deVal Núñez, María Teresa delArtificial intelligenceEmployee behaviourWorkplace behaviourInnovative work behaviourOrganisational behaviourJob satisfactionEmployee engagementEmpresaManagement scienceAs workplace environments evolve with the integration of artificial intelligence (AI), understanding its impact on employee behaviour and organisational culture becomes critical. This study investigates the influence of AI- based technologies on creating safe and respectful work atmospheres, focusing on their role in fostering safety, inclusion, and ethical management practices. Drawing on recent findings, the paper explores the dual nature of AI’s effects, from enabling safer workplaces to posing ethical challenges. (1) The study identifies critical dynamics within AI-driven work environments. Through safety-oriented tools,—such as real-time risk monitoring systems,—AI contributes to incident prevention and fosters inclusion. However, its implementation also introduces challenges, particularly regarding privacy concerns and lack of transparency, which may trigger distrust and raise ethical dilemmas among employees. (2) The analysis further emphasizes ethical and operational barriers. To ensure effective integration, organisations must address the psychological impact of automation, ensuring it does not compromise employee morale or workplace cohesion. Transparent implementation practices are essential to avoid unintended negative consequences. (3) Findings reveal opportunities for AI to reshape organisational culture by harmonising operational efficiency with inclusive values. The study underscores the importance of aligning technological innovation with strategies that prioritise ethical governance and employee well-being. To support these insights, the study adopts a bibliographic analysis methodology, reviewing a curated corpus of peer-reviewed publications from the past five years. Sources were selected based on thematic relevance, scientific rigour, and empirical depth. This method enabled the identification of conceptual patterns, gaps in the literature, and key trends regarding the socio-ethical implications of AI in the workplace. These insights offer practical guidelines for organisations implementing AI technologies. By adopting transparent communication, ethical frameworks, and strategies aligned with employee well-being, businesses can leverage AI to create safer and more inclusive environments. This research underscores the importance of designing policies that balance technological advancement with respect for employee rights and privacy.20252025-07-01journal articlehttp://purl.org/coar/resource_type/c_6501NAhttp://purl.org/coar/version/c_be7fb7dd8ff6fe43info:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10017/67674https://dx.doi.org/10.1016/j.jik.2025.100750reponame:e_Buah Biblioteca Digital Universidad de Alcaláinstname:Universidad de Alcalá (UAH)Inglésengopen accesshttp://purl.org/coar/access_right/c_abf2Attribution-NonCommercial-NoDerivatives 4.0 Internationalhttp://creativecommons.org/licenses/by-nc-nd/4.0/info:eu-repo/semantics/openAccessoai:ebuah.uah.es:10017/676742026-06-18T11:13:07Z
dc.title.none.fl_str_mv Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
title Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
spellingShingle Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
Gómez Gandía, José Andrés
Artificial intelligence
Employee behaviour
Workplace behaviour
Innovative work behaviour
Organisational behaviour
Job satisfaction
Employee engagement
Empresa
Management science
title_short Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
title_full Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
title_fullStr Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
title_full_unstemmed Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
title_sort Knowledge and artificial intelligence on employee behaviour advancing safe and respectful workplace
dc.creator.none.fl_str_mv Gómez Gandía, José Andrés
Lucas Ancillo, Antonio de
Val Núñez, María Teresa del
author Gómez Gandía, José Andrés
author_facet Gómez Gandía, José Andrés
Lucas Ancillo, Antonio de
Val Núñez, María Teresa del
author_role author
author2 Lucas Ancillo, Antonio de
Val Núñez, María Teresa del
author2_role author
author
dc.subject.none.fl_str_mv Artificial intelligence
Employee behaviour
Workplace behaviour
Innovative work behaviour
Organisational behaviour
Job satisfaction
Employee engagement
Empresa
Management science
topic Artificial intelligence
Employee behaviour
Workplace behaviour
Innovative work behaviour
Organisational behaviour
Job satisfaction
Employee engagement
Empresa
Management science
description As workplace environments evolve with the integration of artificial intelligence (AI), understanding its impact on employee behaviour and organisational culture becomes critical. This study investigates the influence of AI- based technologies on creating safe and respectful work atmospheres, focusing on their role in fostering safety, inclusion, and ethical management practices. Drawing on recent findings, the paper explores the dual nature of AI’s effects, from enabling safer workplaces to posing ethical challenges. (1) The study identifies critical dynamics within AI-driven work environments. Through safety-oriented tools,—such as real-time risk monitoring systems,—AI contributes to incident prevention and fosters inclusion. However, its implementation also introduces challenges, particularly regarding privacy concerns and lack of transparency, which may trigger distrust and raise ethical dilemmas among employees. (2) The analysis further emphasizes ethical and operational barriers. To ensure effective integration, organisations must address the psychological impact of automation, ensuring it does not compromise employee morale or workplace cohesion. Transparent implementation practices are essential to avoid unintended negative consequences. (3) Findings reveal opportunities for AI to reshape organisational culture by harmonising operational efficiency with inclusive values. The study underscores the importance of aligning technological innovation with strategies that prioritise ethical governance and employee well-being. To support these insights, the study adopts a bibliographic analysis methodology, reviewing a curated corpus of peer-reviewed publications from the past five years. Sources were selected based on thematic relevance, scientific rigour, and empirical depth. This method enabled the identification of conceptual patterns, gaps in the literature, and key trends regarding the socio-ethical implications of AI in the workplace. These insights offer practical guidelines for organisations implementing AI technologies. By adopting transparent communication, ethical frameworks, and strategies aligned with employee well-being, businesses can leverage AI to create safer and more inclusive environments. This research underscores the importance of designing policies that balance technological advancement with respect for employee rights and privacy.
publishDate 2025
dc.date.none.fl_str_mv 2025
2025-07-01
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
NA
http://purl.org/coar/version/c_be7fb7dd8ff6fe43
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv http://hdl.handle.net/10017/67674
https://dx.doi.org/10.1016/j.jik.2025.100750
url http://hdl.handle.net/10017/67674
https://dx.doi.org/10.1016/j.jik.2025.100750
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Attribution-NonCommercial-NoDerivatives 4.0 International
http://creativecommons.org/licenses/by-nc-nd/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv reponame:e_Buah Biblioteca Digital Universidad de Alcalá
instname:Universidad de Alcalá (UAH)
instname_str Universidad de Alcalá (UAH)
reponame_str e_Buah Biblioteca Digital Universidad de Alcalá
collection e_Buah Biblioteca Digital Universidad de Alcalá
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869406405400723456
score 15,812455