Arabian Journal for Science and Engineering, Год журнала: 2024, Номер unknown
Опубликована: Июль 26, 2024
Язык: Английский
Arabian Journal for Science and Engineering, Год журнала: 2024, Номер unknown
Опубликована: Июль 26, 2024
Язык: Английский
Human Resource Management Review, Год журнала: 2022, Номер 33(1), С. 100924 - 100924
Опубликована: Июнь 16, 2022
Язык: Английский
Процитировано
79Опубликована: Апрель 19, 2023
Workplaces are increasingly adopting emotion AI, promising benefits to organizations. However, little is known about the perceptions and experiences of workers subject AI in workplace. Our interview study with (n=15) US adult addresses this gap, finding that (1) participants viewed as a deep privacy violation over workers' sensitive emotional information; (2) may function enforce compliance labor expectations, engage mechanism preserve their emotions; (3) be exposed wide range harms consequence Findings reveal need recognize define an individual right what we introduce privacy, well raise important research policy questions on how protect within beyond
Язык: Английский
Процитировано
37Electronic Commerce Research and Applications, Год журнала: 2023, Номер 59, С. 101261 - 101261
Опубликована: Март 27, 2023
Язык: Английский
Процитировано
21Journal of Organizational Change Management, Год журнала: 2023, Номер 36(7), С. 1222 - 1241
Опубликована: Ноя. 23, 2023
Purpose AI is an emerging tool in HRM practices that has drawn increasing attention from researchers and practitioners. While there little doubt AI-enabled exerts positive effects, it also triggers negative influences. Gaining a better understanding of the dark side holds great significance for managerial implementation enriching related theoretical research. Design/methodology/approach In this study, authors conducted systematic review published literature field HRM. The enabled to critically analyze, synthesize profile existing research on covered topics using transparent easily reproducible procedures. Findings used algorithmic features (comprehensiveness, instantaneity opacity) as main focus elaborate effects Drawing inconsistent literature, distinguished between two concepts comprehensiveness: comprehensive analysis data collection. differentiated into instantaneous intervention interaction. Opacity was delineated: hard-to-understand hard-to-observe. For each feature, study connected organizational behavior theory elaborated potential mechanism HRM's employees. Originality/value Building upon identified secondary dimensions features, behind This elaboration establishes robust foundation advancing AI-enable Furthermore, discuss future directions.
Язык: Английский
Процитировано
15Journal of service management, Год журнала: 2024, Номер unknown
Опубликована: Авг. 18, 2024
Purpose The emergence of new generations artificial intelligence (AI), such as ChatGPT or Copilot has brought about a wave innovation in the service workplace. These robotic agents can serve companions, helping employees cope with work-related stress. This research introduces concept “artificial companionship,” which explains how function partners assisting to fulfill their job responsibilities and maintain mental well-being. Design/methodology/approach uses mixed methods approach grounded social support theory from psychology management develop conceptual framework for stress-alleviating implications companionship. A qualitative employee survey is conducted justify relevance propositions. Findings delineates It highlights four distinct roles that AI play companionship – instrumental, informative, caring, intimate. Building on this foundation, presents series propositions elucidate potential mitigating stress among employees. Practical Firms should consider aligning types demands inherent employees’ better reinforce resilience sustainment overcoming challenges. Originality/value perspective through lens theory. extends current understanding human-robot collaboration workspaces derives set guide future investigations.
Язык: Английский
Процитировано
4IIUM Engineering Journal, Год журнала: 2025, Номер 26(1), С. 324 - 335
Опубликована: Янв. 10, 2025
All individuals are susceptible to experiencing stress in their everyday lives. Nevertheless, has a greater influence on females due both biological and environmental factors. This study utilized female speeches detect classify no women. Using speech, composed of non-invasive non-intrusive approaches, helps identify better females. A comparative analysis was conducted between Mel-frequency Cepstral Coefficients (MFCCs) Teager Energy Operator- MFCCs (TEO-MFCCs) determine the best speech feature for classifying emotions associated with no-stress conditions voices. With assistance Stress Speech Neural Network Architecture (SSNNA), an improved accuracy 93.9% achieved. research showed that enhanced higher-frequency components stressed distinguishing classes. shows SSNNA achieved high 14 voices, confirming its ability function independently speaker identity. ABSTRAK: Semua individu terdedah kepada stres dalam kehidupan seharian mereka. Walau bagaimanapun, memberi pengaruh yang lebih besar terhadap wanita akibat faktor biologi dan persekitaran. Kajian ini menggunakan ucapan untuk mengesan mengklasifikasikan tiada kalangan wanita. Penggunaan ucapan, merupakan pendekatan tidak invasif mengganggu, membantu mengenal pasti tekanan dengan baik Analisis perbandingan telah dijalankan antara Operator-MFCCs (TEO-MFCCs). Tujuannya adalah menentukan ciri terbaik bagi emosi berkaitan keadaan suara Dengan bantuan metrik prestasi tinggi ketepatan dicapai. Penyelidikan menunjukkan bahawa meningkatkan komponen frekuensi stres, secara efektif membezakan kelas stres. mencapai wanita, mengesahkan ia berfungsi bebas daripada identiti penutur.
Язык: Английский
Процитировано
0Psychology and Marketing, Год журнала: 2025, Номер unknown
Опубликована: Март 31, 2025
ABSTRACT With the continuous development and progress of Artificial Intelligence (AI) technology, intelligent customer service stands on tip wind waves AI. This rapid industry has made comparison collision between AI artificial a hot topic. paper proposes model exploring how failure human personnel influences satisfaction differently, with mediation variable counterfactual thinking moderation variables psychological distance empathy. Four studies using experimental design were conducted. Study 1 ( N = 80) investigates whether finding that can lead to higher than service. 2 demonstrates effect thinking, produces lower failure. 3 200) in process influencing satisfaction. 4 illustrates empathy from perspective uncanny valley effect. These findings provide evidence for research service, guidance improvement industry.
Язык: Английский
Процитировано
0Digital Business, Год журнала: 2025, Номер unknown, С. 100120 - 100120
Опубликована: Апрель 1, 2025
Язык: Английский
Процитировано
0Annals of Operations Research, Год журнала: 2022, Номер 339(1-2), С. 163 - 183
Опубликована: Янв. 30, 2022
Язык: Английский
Процитировано
17Human Resource Development Review, Год журнала: 2024, Номер unknown
Опубликована: Авг. 21, 2024
The purpose of this research was to examine the utilization artificial intelligence (AI) in organization development (OD) through a comprehensive review existing literature. We also propose potential avenues for future on AI OD. conducted systematic literature 68 studies OD based Cummings and Worley’s four categories (i.e., human process, resource, strategic change, technostructural interventions). first summarized analyzed key information about how is implemented contexts, then examined underlying theories or theoretical frameworks utilized focusing AI. application OD, ethical concerns, recommendations practice using paper concludes with discussion implications practice.
Язык: Английский
Процитировано
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