The impact of AI as a mediator on effective communication: enhancing interaction in the digital age DOI Creative Commons

Ali Ateeq,

Marwan Milhem, Mohammed Alzoraiki

et al.

Frontiers in Human Dynamics, Journal Year: 2024, Volume and Issue: 6

Published: Dec. 11, 2024

This research examines the impact of methods communication and artificial intelligence on effectiveness in small medium-sized enterprises (SMEs) Bahrain. A quantitative approach was used to gather data from 211 employees using structured questionnaires. The study convenience sampling deployed SmartPLS4 for Partial Least Squares Structural Equation Modeling (PLS-SEM) SPSS descriptive statistics analysis. examined different strategies (conventional vs. AI-assisted) efficacy. AI included as a mediating variable this results indicate that have substantial ( β = 0.725, T -value 27.612, p 0.000) 0.439, 9.150, 0.000). Artificial (AI) has role connecting communication, acting mediator with an indirect 0.286. mediation effect indicates amplifies influence effectiveness. study’s findings combination strong greatly improves communication. Practical consequences include need firms allocate resources toward well-designed ongoing staff education, smooth incorporation capabilities. Further investigation is needed examine other settings additional elements support these results, order confirm broaden scope study.

Language: Английский

Data-Driven Decision-Making for Employee Training and Development in Jordanian Public Institutions DOI

Nancy Shamaylah,

Sulieman Ibraheem Shelash Al-Hawary, Badrea Al Oraini

et al.

Data & Metadata, Journal Year: 2025, Volume and Issue: 4, P. 886 - 886

Published: April 4, 2025

Introduction: AI-driven training and HR analytics have revolutionized employee development by offering personalized learning experiences optimizing skill enhancement. Public institutions are increasingly leveraging AI-based recommendations adaptive algorithms to improve workforce training. However, the effectiveness challenges of these approaches in real-world applications require further investigation.Methods: This study employed a descriptive analytical research design, utilizing both quantitative qualitative methods. Data was collected from 385 employees Jordanian public using structured surveys sentiment analysis feedback. Statistical techniques, including regression analysis, ANOVA, correlation were applied assess impact data analytics, recommendations, personalization on effectiveness.Results: The findings indicate that significantly effectiveness. Skill emerged as strongest predictor success (β = 0.7282, p < 0.001). Sentiment revealed 82% responded positively training, while 10% expressed concerns about content relevance interactivity. ANOVA results confirmed no significant differences across job roles, indicating equitable experiences.Conclusion: AI-powered is widely accepted but requires refinement address engagement concerns. Organizations should adopt hybrid approach, integrating with instructor-led guidance. Future explore long-term impacts performance organizational enhance digital strategies.

Language: Английский

Citations

0
Promoting Sustainable Tourism Through Employee Skills: Contextualizing Quality Education and the Human Resource Management Perspective (SDG-4) DOI Open Access
Abdullah Mobarak Bindawas

Sustainability, Journal Year: 2025, Volume and Issue: 17(2), P. 748 - 748

Published: Jan. 18, 2025

This research sought to establish the interdependent relationship between various factors concerning employee skills and sustainable tourism with goal of achieving targets set under SDG-4. In this study, soft hard related employability were independent variables whereas development was dependent variable. The primary data collected from 253 industry experts, including tour operators, hotel managers, travel agents, destination marketers, offering significant perspectives on operational intricacies difficulties encountered within sector. Further, explored importance these using performance map analysis (IPMA). A measurement model developed respondents specialized in field tourism. utilized statistical methodologies assess significance promoting These findings demonstrate impact interpersonal, communication, competence, problem solving, technological it found that competence had highest success have implications for managers stakeholders, encompassing strategic insights into workforce training, integration, sustainability practices. Educational institutions should prioritize training programs enhance technology their students fulfill By investing skills, educational can develop a more adaptable skilled capable Novelty stems study’s comprehensive investigation both yielding holistic understanding collective influence. study contributes existing knowledge by examining relationships skill requirements setup context Aseer region Saudi Arabia.

Language: Английский

Citations

0
Skill Development Challenges in the Era of Artificial Intelligence (AI) DOI
C. Karthikeyan, Sonia Singh

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

Citations

2
The Role of Artificial Intelligence and Big Data Analytics in Shaping the Future of Professions in Industry 6.0: Perspectives from an Emerging Market DOI Open Access
Delia Deliu,

Andrei Olariu

Electronics, Journal Year: 2024, Volume and Issue: 13(24), P. 4983 - 4983

Published: Dec. 18, 2024

Digital technologies are fundamentally transforming professions by altering roles and redefining competencies across all sectors. The progression from computerization to digitization, digitalization, now digital transformation has been driven the widespread integration of artificial intelligence (AI) big data analytics (BDA). Industry 4.0 introduced smart automation connectivity, 5.0 emphasized human–machine collaboration personalization, 6.0 integrates advanced with sustainability ethical considerations, exerting a profound influence on many professions. This is especially significant in emerging markets, where AI BDA overhauling traditional practices enhancing efficiency but also introducing new challenges. Focusing accounting profession, this paper examines AI’s BDA’s dual impact skill sets professional accountants (PAs). Specifically, it addresses how these shape activities, interactions, roles, PAs an context, as well opportunities challenges that arise. Given public interest role ensuring accuracy transparency financial reporting, understanding their perceptions experiences essential. findings reveal while drive gains open strategic pathways, they risk eroding core competencies, reducing client engagement, raising concerns such security privacy—all which can undermine service quality and, ultimately, trust. These insights underscore need for responsible integration, particularly literacy gaps regulatory limitations may slow adoption. study offers actionable recommendations policymakers, educators, organizations, highlighting importance standards, targeted training, sustainable preserve relevance integrity profession increasingly technology-driven era.

Language: Английский

Citations

2
Leader-Turn-Follower: An Avenue for Corporation Towards Achieving Organizational Goals or a Recipe for Organizational Sabotage DOI

Kwarteng Hamid Abdul,

Siraj Tanko

Published: Jan. 1, 2024

Language: Английский

Citations

0
Roadmap to Talent Management DOI

Garima Sainger,

Mohammad Irfan

Advances in educational marketing, administration, and leadership book series, Journal Year: 2024, Volume and Issue: unknown, P. 463 - 492

Published: Nov. 1, 2024

Talent management in the AI era offers businesses looking to maximize their human capital strategy both previously unheard-of potential and challenging tasks. technologies have change many aspects, including hiring procedures, customized learning programs, workforce planning, employee engagement. This chapter explores concept of talent AI. Further need has discussed how AI-driven tools enhance these processes, improving efficiency reducing bias. It emphasizes balance between technical skills human-centered competencies like creativity emotional intelligence. The also addresses ethical considerations, transparency, fairness decision-making, highlights future research directions, ethics, diversity, integration with other emerging technologies. Successful adoption blends acumen AI, fostering innovation competitiveness digital age.

Language: Английский

Citations

0
The impact of AI as a mediator on effective communication: enhancing interaction in the digital age DOI Creative Commons

Ali Ateeq,

Marwan Milhem, Mohammed Alzoraiki

et al.

Frontiers in Human Dynamics, Journal Year: 2024, Volume and Issue: 6

Published: Dec. 11, 2024

This research examines the impact of methods communication and artificial intelligence on effectiveness in small medium-sized enterprises (SMEs) Bahrain. A quantitative approach was used to gather data from 211 employees using structured questionnaires. The study convenience sampling deployed SmartPLS4 for Partial Least Squares Structural Equation Modeling (PLS-SEM) SPSS descriptive statistics analysis. examined different strategies (conventional vs. AI-assisted) efficacy. AI included as a mediating variable this results indicate that have substantial ( β = 0.725, T -value 27.612, p 0.000) 0.439, 9.150, 0.000). Artificial (AI) has role connecting communication, acting mediator with an indirect 0.286. mediation effect indicates amplifies influence effectiveness. study’s findings combination strong greatly improves communication. Practical consequences include need firms allocate resources toward well-designed ongoing staff education, smooth incorporation capabilities. Further investigation is needed examine other settings additional elements support these results, order confirm broaden scope study.

Language: Английский

Citations

0