Barriers and Enablers of AI Adoption in Human Resource Management: A Critical Analysis of Organizational and Technological Factors

Information, Journal Year: 2025, Volume and Issue: 16(1), P. 51 - 51

Published: Jan. 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.

Language: Английский

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Human resource management ecosystem in the context of business digitalization.

Management Sciences, Journal Year: 2025, Volume and Issue: 14(4), P. 77 - 90

Published: Jan. 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

Language: Английский

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Is it necessary? A framework for assessing the utility of A.I. in HRM practices

Acta Psychologica, Journal Year: 2025, Volume and Issue: 254, P. 104816 - 104816

Published: Feb. 26, 2025

Language: Английский

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Trust influence on AI HR tools perceived usefulness in Swiss HRM: the mediating roles of perceived fairness and privacy concerns

AI & Society, Journal Year: 2025, Volume and Issue: unknown

Published: March 27, 2025

Language: Английский

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Identifying Enablers and Barriers to Using Artificial Intelligence in Human Resource Management Practices

Published: Jan. 1, 2025

Language: Английский

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Unpacking public resistance to health Chatbots: a parallel mediation analysis

Frontiers in Psychology, Journal Year: 2024, Volume and Issue: 15

Published: April 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.

Language: Английский

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Skill Development Challenges in the Era of Artificial Intelligence (AI)

Advances in educational technologies and instructional design book series, Journal Year: 2024, Volume and Issue: unknown, P. 189 - 218

Published: Oct. 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.

Language: Английский

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Adoption and Adaptation of Generative Artificial Intelligence in Organizations: Actions for Efficient and Responsible Use in Interaction with Collaborators

International Journal of Current Science Research and Review, Journal Year: 2024, Volume and Issue: 07(03)

Published: March 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.

Language: Английский

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AI Adoption Determinants and Its Impacts on HRM Effectiveness within MES in Tanzania

Open Journal of Business and Management, Journal Year: 2024, Volume and Issue: 12(04), P. 2532 - 2552

Published: Jan. 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.

Language: Английский

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Artificial Intelligence and Its Role in Shaping Organizational Work Practices and Culture

Administrative Sciences, Journal Year: 2024, Volume and Issue: 14(12), P. 316 - 316

Published: Nov. 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.

Language: Английский

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