Journal of Human Resource and Leadership, Год журнала: 2024, Номер 9(3), С. 13 - 18
Опубликована: Июнь 3, 2024
Purpose: This paper aims to review the adoption of AI in supporting HRM enhance and boost their practices by utilizing artificial intelligence possibility future integration human approach approach. Methodology: provides a qualitative based on latest research, case studies, articles, related literature. Finding: The describes positive influence field practices/process. Unique Contribution Theory, Practice Policy: an informative view enhancing strategic organizational performance adopting AI, implications/challenges using HRM.
Язык: Английский
Процитировано
0
Advances in human resources management and organizational development book series, Год журнала: 2024, Номер unknown, С. 135 - 150
Опубликована: Июль 10, 2024
The Fourth Industrial Revolution is generating changes in every element of society. implication this digital transformation continues to vary based on the readiness, available resources, and level development each nation organisation. Digital anticipated have a far-reaching positive effect modernising public organisations through HR element. This chapter, desktop review, explores adoption HRM unique context Nigerian sector, characterised by inefficient bureaucratic structures, obsolete methods that foster nepotism, limited innovation. literature presents opportunities for transforming longstanding challenges sector. However, faced with resistance from workforce, political interference, inadequate infrastructures, lack necessary skills. can be propelled strong will commitment all stakeholders align technological change imperatives more responsive
Язык: Английский
Процитировано
0
Practice, progress, and proficiency in sustainability, Год журнала: 2024, Номер unknown, С. 75 - 95
Опубликована: Июль 26, 2024
This study assesses the impact of digital transformation on environmental sustainability within India's manufacturing industry, utilizing PLS-SEM. The investigation focuses operational efficiency as a mediator and organizational culture moderator. Data were collected from 409 respondents in industry using an online Google form survey conducted October 2023 to March 2024, employing convenience sampling. findings indicate that significantly enhances sustainability. Operational is anticipated mediate relationship between sustainability, with moderating efficiency. research contributes theoretical understanding provides practical insights for firms leveraging technologies sustainable practices.
Язык: Английский
Процитировано
0
Cogent Business & Management, Год журнала: 2024, Номер 11(1)
Опубликована: Ноя. 26, 2024
This study explores the transformative role of artificial intelligence (AI) in human resource management (HRM), focusing on key functions such as recruitment, retention, and performance management. A comprehensive review was carried out PRISMA framework BERTopic model AI HRM‑related keywords. The resulting publications were analyzed to extract meaningful topics. AI‑driven tools streamline candidate screening interview analysis, significantly enhancing hiring efficiency decision‑making accuracy. Concerns about algorithmic bias highlight need for robust governance frameworks ensure transparency fairness processes. emphasizes importance aligning adoption with Organizational Development principles foster inclusivity organizational justice. integration facilitates real‑time, objective assessments, although overreliance technologies can affect employee trust engagement. Despite these advances, highlights ethical concerns surrounding data privacy potential bias. Addressing challenges requires implementation promote AI‑HRM applications. Strategically, transforms HR from a reactive function proactive, data‑driven partner aligned long‑term goals. Successful depends mechanisms that uphold standards, trust, transparency, enabling organizations fully leverage AI's workforce
Язык: Английский
Процитировано
0
Advances in human resources management and organizational development book series, Год журнала: 2024, Номер unknown, С. 133 - 152
Опубликована: Дек. 18, 2024
The very language itself “Artificial Intelligence” has become globe wide known and is responsible for the technology controlling alone that directly contributing to transformation of biosphere on planet; is, earth in its turn. Being able name some sectors are using AI technologies marketing, finance, agriculture, manufacturing. swift apple artificial intelligence characterised both growing acceptability popularity because it will soon displace various professions. being used enable human resources managers make best least costly decisions opportunity. This brought about a lot innovations characteristics HRM (Kapoor, 2022). It not long ago when many us words had formerly been by many, such as deep learning, neural networks, data mining, or analysis
Язык: Английский
Процитировано
0
Contributions to management science, Год журнала: 2024, Номер unknown, С. 9 - 22
Опубликована: Янв. 1, 2024
Язык: Английский
Процитировано
0
Journal of Resilient Economies (ISSN 2653-1917), Год журнала: 2024, Номер 4(2)
Опубликована: Дек. 30, 2024
This research study examines the evolving role of AI (Artificial Intelligence) in human resources, aiming on how IT employees perceive and engage with Automation at their workplace. It highlights impact technologies employee identity, job security, satisfaction, while noting significant gaps understanding AI's influence workforce dynamics. The literature classifies into categories like general tools, machine learning, robotics, each affecting workplace interactions differently. A major concern is "dark side" AI, which may reduce autonomy transparency, impacting identity sense purpose. emphasizes transformative potential HR functions such as recruitment, training & development, performance evaluation compliance management but also challenges resistance to change ethical concerns about tools. advocates for longitudinal studies better understand long-term effects suggests that demographic factors shape responses AI. In conclusion, could enhance operations, many questions remain effective implementation tools functions. Future should address these enable organizations leverage a more innovative adaptable workforce.
Язык: Английский
Процитировано
0
Опубликована: Дек. 6, 2024
Язык: Английский
Процитировано
0