Results 81 to 90 of about 3,050,985 (230)

Pengaruh Reskilling–Upskilling Dan Human–Ai Collaboration Terhadap Employee Well-Being Pada PT Nielseniq Palembang

This study aims to analyze the effect of Reskilling-Upskilling and Human-AI Collaboration on Employee Well-Being at PT NielsenIQ Palembang. This study uses a quantitative approach with a saturated sample technique on 60 respondents.
DP, Mohammad Kurniawan, Mujriyah, Siti, Wulandari, Try   +2 more
core   +1 more source

Phase Engineering of Nanomaterials (PEN): Evolution, Current Challenges, and Future Opportunities

Advanced Materials, EarlyView.
This review summarizes the synthesis, phase transition, advanced characterization spanning ex situ to in situ and operando techniques, and diverse applications of phase engineering of nanomaterials (PEN). It further outlines key challenges and future opportunities, such as phase stability, architecture control, and artificial intelligence (AI)‐driven ...
Ye Chen, Zhanxi Fan, Jingjie Ge, Qiyuan He, Zhuangchai Lai, Jiawei Liu, Chaoliang Tan, Hua Zhang   +7 more
wiley   +1 more source

Leveraging AI for Recruitment and Retention in Multicultural Aviation Settings: A Narrative Literature Review

JPAIR
Artificial Intelligence (AI) is transforming recruitment and talent management across industries, particularly in aviation where safety, multicultural collaboration, and workforce stability are essential.
Mayette Coronacion, Mary Jane Sapiendante, Sherwin Diala, Jonathan Berganio, Ma. Angela Eval   +4 more
doaj   +1 more source

Deterministic Field‐Free Switching of Perpendicular Magnetization by Bulk Mirror Symmetry Broken Bi1−xSbx (012) with High Spin Hall Conductivity

Advanced Materials, EarlyView.
Crystal orientation and domain engineering enable bulk mirror symmetry breaking in Bi1−xSbx, resulting in ultralow current‐induced switching of perpendicular magnetization without an external field. By exploiting single‐domain Bi1−xSbx (012), the authors demonstrate an out‐of‐plane spin Hall conductivity of ∼1.12×105ℏ2eΩ−1m−1$ \sim \!1.12 \ensuremath ...
Seungwon Rho, Youngmin Lee, Jaeseok Huh, Jaehan Park, Hyeong‐Jun Son, Dowoo Pyeon, Mann‐Ho Cho   +6 more
wiley   +1 more source

Key elements in transferring knowledge of the AI implementation process for HRM in COVID-19 times: AI consultants' perspective

International Journal of Business Science and Applied Management, 2022
Although artificial intelligence (AI) is transforming the workplace structure, very little is known about the strategy that facilitates AI implementation in organizations.
Tuffaha, M., Perello-Marin, M.R., Suarez-Ruz, E.   +2 more
doaj  

Identifying the antecedents and consequences of the use of artificial intelligence in organizations using a multi-level analysis approach: A systematic review [PDF]

مطالعات مدیریت بهبود و تحول
This systematic review investigates the factors influencing the implementation of Artificial Intelligence (AI) (antecedents) and its consequences (outcomes) in organizations.
Seyed Mojtabi Hashemian, Fatemeh Ghorbani   +1 more
doaj   +1 more source

Descriptors to Dynamics: A Materials and Device Perspective on in‐Materio Physical Reservoir Computing for Neuromorphic Edge Intelligence

Advanced Materials, EarlyView.
Intrinsic material dynamics are harnessed as computational resources for neuromorphic in‐materio physical reservoir computing. Defects, ionic motion, interfaces, percolation, geometry, and biasing shape transient states that provide fading memory, nonlinearity, and high‐dimensional projection for simple readout. A descriptor‐to‐dynamics framework links
Kshitij RB Singh, Alif Syafiq Kamarol Zaman, Muzhen Xu, Yuki Usami, Saptarshi Das, Hirofumi Tanaka   +5 more
wiley   +1 more source

Socio-Technical Factors Shaping Employee-AI Collaboration

Despite significant organisational investments in AI technologies, 70-85% of AI initiatives fail to achieve their projected value due to inadequate understanding of the human factors driving successful employee-AI collaboration.
Bonnaudet, Lola
core  

Interactive effects of AI awareness and change-oriented leadership on employee-AI collaboration: the role of approach and avoidance motivation

AI application has been met with great concern in the hospitality field given its efficacy enhancement but threats to employee tasks and jobs. This study investigates the interactive impacts between AI awareness and change-oriented leadership on ...
Baruch, Yehuda, Yin, Zihan, Kong, Haiyan, Yuan, Yue, L’Espoir Decosta, Patrick   +4 more
core   +1 more source

Metal Compound‐Based Non‐Enzymatic Electrochemical Cholesterol Sensors: Emerging Materials and Mechanistic Insights

Advanced Materials Interfaces, EarlyView.
This review discusses recent progress in metal complex‐based, non‐enzymatic electrochemical sensors for cholesterol detection. We examine metal oxides, metal sulfides, and hybrid nanomaterials, highlighting their catalytic mechanisms and material design strategies.
Longfei (Jack) Yin, Chao‐Tsen (Rora) Chen, Jacopo Giaretta, Thanh‐Qua Nguyen, Hoang‐Phuong Phan, Fariba Dehghani, Syamak Farajikhah   +6 more
wiley   +1 more source