The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

Oeconomia Copernicana, Journal Year: 2023, Volume and Issue: 14(3), P. 731 - 767

Published: Sept. 30, 2023

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose article: The objective this paper to develop a systematic review relevant literature identify effects change, especially adoption AI in organizations, on employees’ skills (professional dimension) well-being (personal dimension). Methods: To implement research scope, authors relied Khan's five-step methodology, which included PRISMA flowchart with embedded keywords for selecting appropriate quantitative data study. Firstly, 639 scientific papers published between March 2020 2023 (the end COVID-19 according WHO) from Scopus Web Science (WoS) databases were selected. After applying procedures techniques, 103 articles retained, focused dimension, while 35 component. Findings & value added: Evidence has been presented highlighting difficulties associated ongoing requirement upskilling or reskilling as an adaptive reaction changes. efforts counterbalance skill mismatch impacted employees' challenging times. Although emphasis digital widely accepted, our investigation shows topic still not properly developed. paper's most significant contributions found thorough analysis affects well-being, representative aspects researched academic due paradigm changes generated continuous disruptions.

Language: Английский

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Machines that feel: behavioral determinants of attitude towards affect recognition technology—upgrading technology acceptance theory with the mindsponge model

Humanities and Social Sciences Communications, Journal Year: 2023, Volume and Issue: 10(1)

Published: July 19, 2023

Abstract The rise of emotional AI signals a new era in human-machine relations where intelligent machines not only feel but also feed on human emotions as statistical fodder with the goal reshaping our behavior. Unlike many smart technologies, emotion-recognition systems sense, monitor, harvest and analyze data extracted from person’s non-conscious or psycho-physical state, often without their knowledge consent. As far more invasive manner surveillance capitalism, technological adoption is problematized by myriad legal, ethical, cultural, scientific issues. To better understand behavioral factors determining an individual’s attitude towards this emerging technology, we first identify five major tensions that may impinge adoption. Second, extend Technological Acceptance Model (TAM) (Davis, 1989) model insights mindsponge information filtering (Vuong Napier, 2015) along quantitative affordances offered Bayesian computational approach. Our analysis was conducted based multi-national dataset surveying perceptions 1015 young adults (age 18–27) regarding applications socio-cultural characteristics such income, region, religiosity, home country politics. These are fed into multi-level models varying intercepts so can systematically measure compare effects various determinants attitudes respondents harvesting government private sector actors. Critically, study finds who familiar with, perceive utilities well rate themselves restrained heated arguments social media, less threatened practice both findings offer fertile platform for further exploration intersection between psychology, culture, technologies important policymakers wishing to ensure design regulation technology serve best interests society.

Language: Английский

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Ethical considerations in emotion recognition technologies: a review of the literature

AI and Ethics, Journal Year: 2023, Volume and Issue: 4(4), P. 927 - 948

Published: June 20, 2023

Language: Английский

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Social Innovations for Improving Healthcare

Advances in human and social aspects of technology book series, Journal Year: 2024, Volume and Issue: unknown, P. 309 - 324

Published: July 17, 2024

This chapter explores how social innovations may revolutionise healthcare delivery in a disruptive way. The story navigates the terrain of innovations, solving complex difficulties and promoting health fairness by focusing on various methods, practises, models. begins examining innovation context explains its importance, especially environments with limited resources. also addresses implementing growing them, including topics like financing, regulations, acceptance different cultures, multidisciplinary cooperation. relationship between equity is critically discussed, highlighting these address socioeconomic determinants support more inclusive systems. In order to achieve better results fairness, closing remarks highlight transformational potential advocate for their incorporation into comprehensive policies.

Language: Английский

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Determinants of Students’ Satisfaction with AI Tools in Education: A PLS-SEM-ANN Approach

Sustainability, Journal Year: 2024, Volume and Issue: 16(13), P. 5354 - 5354

Published: June 24, 2024

The emergence of Artificial Intelligence (AI) technology has significantly disrupted the educational landscape. latest development in AI, generative AI that can generate new and tailored to specific content, impacted education. Given value general users education, such as students, adaptability these technologies increased. However, continuing productive usage tools depends upon students’ satisfaction with tools. Drawing from existing research, present research developed factors affect collected data using a survey questionnaire Saudi Arabian university. two-stage method partial least squares structural equation modeling (PLS-SEM) artificial neural network (ANN) have been employed. is applied way PLS-SEM used for testing hypothesis significance factor’s influence on satisfaction, ANN determine relevant importance factor. results shown content quality, emotional wellbeing perceived utility student show most critical factor followed equally by quality utility.

Language: Английский

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AI-Powered Employee Experience

Advances in human resources management and organizational development book series, Journal Year: 2023, Volume and Issue: unknown, P. 166 - 181

Published: Dec. 29, 2023

AI has become an indispensable tool for businesses seeking to enhance the employee experience. Businesses that implement it can increase satisfaction, customer service, and decrease cost per served – ultimately adding significant business value. Artificial intelligence instruments improve experiences across several areas: recruitment, onboarding, training, performance management. Furthermore, this use case will profoundly impact overall.

Language: Английский

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Employees’ acceptance of AI-based emotion analytics from speech on a group level in virtual meetings

Technology in Society, Journal Year: 2024, Volume and Issue: 76, P. 102466 - 102466

Published: Jan. 24, 2024

Detecting emotions in virtual meetings can be a demanding task for humans due to technological constraints of current videoconferencing systems. AI-based emotion analytics from speech is promising option provide helpful analyses online business meetings, but might perceived as scary are sensitive topic. However, employees' acceptance such type software not understood properly yet there no offers on the market yet. To investigate potential users' intentions, we conducted survey 2021 well 2023 with data 470 employees Germany regard novel analyzing group level meetings. We argue that decision bases balancing different pros and cons sticking an existing behavior or using software. A partial least squares (PLS) approach structural equation modeling (SEM) was used test study's hypotheses. Our results show attitude, norms, efficacy threats significant predictors intention accept At same time, privacy concerns were only reason reject This paper contributes better understanding why willing use

Language: Английский

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From crisis to prosperity: Leveraging robots, artificial intelligence, and service automation for sustainable tourism in Zimbabwe

Business Strategy & Development, Journal Year: 2024, Volume and Issue: 7(2)

Published: May 7, 2024

Abstract In an increasingly digital and interconnected world, the integration of advanced technologies such as robotics, artificial intelligence (AI), service automation has become pivotal for shaping future various industries, including tourism. The paper investigates complex relationship between three independent variables: (robotic adoption, AI adoption) dependent (social sustainability, economic environmental sustainability). Employing a quantitative research approach, study gathered data from 608 randomly selected tourism supply chain stakeholders using Krejcie Morgan table to determine sample size. Data collection was facilitated through Google Forms questionnaires, analysis relied on structural equation modeling. statistical findings highlight positive direct significant relationships among these variables, evidenced by t ‐statistic values surpassing threshold 1.96. These ranged minimum 2.156 maximum 10.083. results suggest that strategically integrating technologies, businesses policymakers in Zimbabwe can enhance tourist experience, industry's long‐term viability its impact society, economy, environment. This study's outcomes provide compelling foundation informed decision‐making development targeted strategies aimed at advancing sustainability objectives within Zimbabwean landscape.

Language: Английский

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Emotional AI in education and toys: Investigating moral risk awareness in the acceptance of AI technologies from a cross-sectional survey of the Japanese population

Heliyon, Journal Year: 2024, Volume and Issue: 10(16), P. e36251 - e36251

Published: Aug. 1, 2024

Emotional artificial intelligence (AI), i.e., affective computing technologies, is rapidly reshaping the education of young minds worldwide. In Japan, government and commercial stakeholders are promulgating emotional AI not only as a neoliberal, cost-saving benefit but also heuristic that can improve learning experience at home in classroom. Nevertheless, critics warn myriad risks harms posed by technology such privacy violation, unresolved deeper cultural systemic issues,

Language: Английский

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Human-Centric Digital Workplace

Advances in human resources management and organizational development book series, Journal Year: 2025, Volume and Issue: unknown, P. 125 - 146

Published: Jan. 24, 2025

The swift transition of the workplace into digital domain has engendered a problem striking right balance between employee wellness and technology innovation. Most traditional environments that place lot emphasis on active performance fail to consider an employee's mental, physical, emotional well-being employees. This chapter highlights need for human-centered workplaces prioritizing over productivity. It does this by explaining Self Determination Theory, which identifies three essential elements: autonomy, competence, relatedness, promotes healthier more engaging populations. continues forefront use other advances, especially AI virtual realities, make work individualistic enjoyable address change management problems like exhaustion diversity in digitization. Therefore, it presents practical ideas suggestions build sustainable employee-centric improve quality life performance.

Language: Английский

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