Lecture notes in networks and systems, Год журнала: 2024, Номер unknown, С. 175 - 193
Опубликована: Янв. 1, 2024
Язык: Английский
Information, Год журнала: 2025, Номер 16(1), С. 51 - 51
Опубликована: Янв. 15, 2025
This paper examines the key factors recognized as transformative in field of human resource management (HRM) and explores their influence on global adoption artificial intelligence (AI). While AI holds significant promise for enhancing HRM efficiency, employee engagement, Decision Making, its implementation presents a range organizational, technical, ethical challenges that organizations worldwide must navigate. Change aversion, data security worries, integration expenses are major roadblocks, but strong digital leadership, company culture, advancements NLP machine learning enablers. complex analysis questions common perception only disruptive by delving into relationship between power dynamics, corporate technology infrastructures. In this paper, we bring together research from several fields to help scholars practitioners understand nuances HRM, with an emphasis importance inclusive methods frameworks.
Язык: Английский
Процитировано
2
Management Sciences, Год журнала: 2025, Номер 14(4), С. 77 - 90
Опубликована: Янв. 10, 2025
In the context of digital economy business is increasingly choosing ecosystem model development, which leads to scientific interest in formation new approaches human resource management (HRM). The role capital within ecosystems growing; both internal and external participants create its value organization. Many stakeholders get involved working out HRM solutions, including managers, employees, HR specialists, partners, suppliers services providers. With a view co-creating enhancing competitiveness market, there comes need for integrating necessary resources. aim research determine characteristic features structural digitalization. Currently, are at an early stage represent technocratic models form «marketplace» multiple tools, constitutes risk their overloading turning into “patchwork” technologies. emerging transition towards human-centric shifts focus from technologies strategic goals people’s well-being place. result identification distinctive as well suggestion model-in transit, comprising humanitarian technological components. Within research, were used general methods comparison, analysis, generalization, interpretation authors’ theoretical practical experience. outcomes may be communities terms developing methodology approach
Язык: Английский
Процитировано
0
Acta Psychologica, Год журнала: 2025, Номер 254, С. 104816 - 104816
Опубликована: Фев. 26, 2025
Язык: Английский
Процитировано
0
AI & Society, Год журнала: 2025, Номер unknown
Опубликована: Март 27, 2025
Язык: Английский
Процитировано
0
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
0
Frontiers in Psychology, Год журнала: 2024, Номер 15
Опубликована: Апрель 10, 2024
Despite the numerous potential benefits of health chatbots for personal management, a substantial proportion people oppose use such software applications. Building on innovation resistance theory (IRT) and prototype willingness model (PWM), this study investigated functional barriers, psychological negative perception antecedents individuals' to chatbots, as well rational irrational mechanisms underlying their linkages.
Язык: Английский
Процитировано
3
Advances in educational technologies and instructional design book series, Год журнала: 2024, Номер unknown, С. 189 - 218
Опубликована: Окт. 31, 2024
Artificial Intelligence (AI) is taking us by storm, and Human Resources functions are no exception. Future of work for nearly 40% the companies in algorithms (AI). Al most powerful acronym that pulls every human resource professional into challenge. Almost 33% employees' jobs, roles, tasks to be augmented AI near future prediction Deloitte. This paper analyses Skill development challenges developing countries like India handle related training conducting meta Analysis presents suggestive measures counter these challenges. The aim comprehend issues surrounding vocational education putting Learner first. It suggests implementation planned activities with augmentation initiatives reskill, right skill align those skills emerging jobs.
Язык: Английский
Процитировано
2
International Journal of Current Science Research and Review, Год журнала: 2024, Номер 07(03)
Опубликована: Март 28, 2024
The aim of this work was to determine the actions needed adopt and adapt Generative Artificial Intelligence (GenAI) for efficient responsible use in organization, without affecting contribution collaborator his/her activities. A bibliographic review scientific literature information published by consulting companies on current development research related GenAI its impact organizations carried out. intelligence search tools, academic engines were used, criteria inclusion exclusion publications established. As a result, necessary identified adoption, adaptation, use, interaction with employees their environment. These include adjustment processes, infrastructure, resources; capacity-building integration culture innovation, protocol development, staff training, creation flexible supportive working environments, collaboration regulators, transformation work; alignment management practices. It concluded that is having major automating processes increasing productivity efficiency. essential address three categories: fostering ethics, accountability technology, adoption adaptation employees. This helps identify elements deepen define, real contexts, effectiveness internal collaborators, promoting best practices generate value through use.
Язык: Английский
Процитировано
1
Open Journal of Business and Management, Год журнала: 2024, Номер 12(04), С. 2532 - 2552
Опубликована: Янв. 1, 2024
This study intends to explore the determinants of AI adoption and its impact on HRM effectiveness in Tanzanian medium enterprises (MEs). With a focus providing insights for HR professionals decision-makers, data from 185 respondents comprising professionals, IT CEOs who have already adopted was analyzed using PLS-SEM, where factors Relative advantage, Complexity, Compatibility, Security/Privacy, Top management, Organisation readiness, Competitive pressure, External support Government were tested AI. Results highlight relative compatibility, competitive pressure as key drivers Tanzania's context, subsequently enhancing systems' effectiveness. The bridges existing gaps offers recommendations integration into practices. Implications managers solution providers discussed facilitate better understanding influencing process within MEs. underlies theoretical by utilizing TOE model incorporating technological, organizational, environmental factors. recommends future exploration additional including larger sample enhance universality results.
Язык: Английский
Процитировано
1
Administrative Sciences, Год журнала: 2024, Номер 14(12), С. 316 - 316
Опубликована: Ноя. 28, 2024
The advent of Artificial Intelligence (AI) is profoundly transforming organizational landscapes, significantly influencing work practices and triggering cultural shifts. This study explores the role AI in reshaping examines resulting transformation. Through a systematic literature review, this synthesizes existing research to provide comprehensive understanding AI’s impact on landscapes. A review was conducted, analyzing peer-reviewed articles, books, conference papers identify key themes related AI-driven changes practices, including automation, decision making, employee roles. It also how these influence culture, particularly shifts toward innovation, agility, continuous learning, alongside challenges like resistance change ethical concerns. While adoption promises benefits such as enhanced efficiency, productivity, it presents significant alignment, resistance, concerns, leadership communication. Effective leadership, transparent communication, investments skills development emerge pivotal strategies for overcoming obstacles ensuring successful implementation. findings offer insights into complex interplay between transformation, highlighting gaps current suggesting directions future studies. serves valuable resource academics practitioners seeking understand broader implications structures culture.
Язык: Английский
Процитировано
1