This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development systems DOI Creative Commons
Alina Köchling, Marius Claus Wehner, Sascha Alexander Ruhle

и другие.

Review of Managerial Science, Год журнала: 2024, Номер unknown

Опубликована: Авг. 19, 2024

Abstract Organizations increasingly implement AI for career development to enhance efficiency. However, there are concerns about employees’ acceptance of and the literature on employee is still in its infancy. To address this research gap, integrating justice theory, we investigate effects deciding entity (human, human AI, AI) impact data source (internal data, external data), reactions. Using a scenario-based between-subject design, displaying common situation organizations ( N = 280) an additional causal-chain-approach 157), examined whether decrease involvement decision making diminishes perceived fairness satisfaction with process increases their privacy intrusion. Although also considered other sources moderate proposed relationships, found no support interaction effects. Finally, intrusion mediated influence turnover intention employer attractiveness, while did not. By addressing how employees react development–showing negative reactions, our study holds considerable relevance practice.

Язык: Английский

Fostering Transversal Skills Through Open Schooling Supported by the CARE-KNOW-DO Pedagogical Model and the UNESCO AI Competencies Framework DOI Creative Commons
Alexandra Okada, Tony Sherborne,

Giorgos Panselinas

и другие.

International Journal of Artificial Intelligence in Education, Год журнала: 2025, Номер unknown

Опубликована: Март 5, 2025

Язык: Английский

Процитировано

0

The coopetition management process: a science mapping analysis DOI Creative Commons
Claudia Benítez-Núñez, Mónica Santana, Daniel Dorta Afonso

и другие.

Review of Managerial Science, Год журнала: 2025, Номер unknown

Опубликована: Март 6, 2025

Abstract This paper analyzes the coopetition literature to examine how research on has evolved and identify key themes in management process. To that end, a science mapping analysis of 890 articles, published between 1996 2022, was carried out using co-word networks longitudinal overview, applying SciMAT bibliometric software. Motor, basic transversal, specialized, emerging or declining have been discovered strategic diagrams evolution. The findings reveal cover several topics. Additionally, content most cited topics relevant involved process, which integrated into five categories: antecedents , coopetitive dynamics facilitators barriers, outcomes contexts . Therefore, this study organizes previously fragmented highlights process from an integrative point view. results offer pathway for researchers understand evolution complexity managerial perspective, as well providing original agenda.

Язык: Английский

Процитировано

0

Insight into how legal and ethical considerations of artificial intelligence enhance the effectiveness of cyber forensic accounting DOI Creative Commons
Pham Quang Huy, Vu Kien Phuc

Journal of Global Information Technology Management, Год журнала: 2025, Номер unknown, С. 1 - 31

Опубликована: Март 25, 2025

The aim of this study is to explore the correlation between legal and ethical considerations (LEC) effectiveness cyber forensic accounting (ECFA). This investigates role artificial intelligence competencies (AIC) as a mediator in link LEC ECFA. research confirms delineates relationship among LEC, ECFA, AIC through hypothetico-deductive approach. statistical database was generated from paper-and-pencil survey administered cross-sectional sample 723 respondents using convenience snowball sampling methods. partial least squares structural equation modeling implemented evaluate measurement models. An analysis results indicated that exerted significant favorable influence on Furthermore, it illustrated partially mediated study's outcomes would aid Government improving methodically formulating strategies foster implementation application.

Язык: Английский

Процитировано

0

Artificial intelligence and people management in the 21st century DOI
Filomena Almeida, Ana Junça Silva, Sara L. Lopes

и другие.

Elsevier eBooks, Год журнала: 2024, Номер unknown, С. 41 - 64

Опубликована: Янв. 1, 2024

Язык: Английский

Процитировано

2

This (AI)n’t fair? Employee reactions to artificial intelligence (AI) in career development systems DOI Creative Commons
Alina Köchling, Marius Claus Wehner, Sascha Alexander Ruhle

и другие.

Review of Managerial Science, Год журнала: 2024, Номер unknown

Опубликована: Авг. 19, 2024

Abstract Organizations increasingly implement AI for career development to enhance efficiency. However, there are concerns about employees’ acceptance of and the literature on employee is still in its infancy. To address this research gap, integrating justice theory, we investigate effects deciding entity (human, human AI, AI) impact data source (internal data, external data), reactions. Using a scenario-based between-subject design, displaying common situation organizations ( N = 280) an additional causal-chain-approach 157), examined whether decrease involvement decision making diminishes perceived fairness satisfaction with process increases their privacy intrusion. Although also considered other sources moderate proposed relationships, found no support interaction effects. Finally, intrusion mediated influence turnover intention employer attractiveness, while did not. By addressing how employees react development–showing negative reactions, our study holds considerable relevance practice.

Язык: Английский

Процитировано

2