Evolution of artificial intelligence research in Technological Forecasting and Social Change: Research topics, trends, and future directions

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 192, P. 122579 - 122579

Published: April 21, 2023

Artificial intelligence (AI) is a set of rapidly expanding disruptive technologies that are radically transforming various aspects related to people, business, society, and the environment. With proliferation digital computing devices emergence big data, AI increasingly offering significant opportunities for society business organizations. The growing interest scholars practitioners in has resulted diversity research topics explored bulks scholarly literature published leading outlets. This study aims map intellectual structure evolution conceptual overall Technological Forecasting Social Change (TF&SC). uses machine learning-based structural topic modeling (STM) extract, report, visualize latent from literature. Further, disciplinary patterns examined with additional objective assessing impact AI. results reveal eight key topics, out which concerning healthcare, circular economy sustainable supply chain, adoption by consumers, decision-making showing rising trend over years. influence on disciplines such as management, accounting, social science, engineering, computer mathematics. provides an insightful agenda future based evidence-based directions would benefit identify contemporary issues develop impactful solve complex societal problems.

Language: Английский

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Social companionship with artificial intelligence: Recent trends and future avenues

Technological Forecasting and Social Change, Journal Year: 2023, Volume and Issue: 193, P. 122634 - 122634

Published: May 20, 2023

The social companionship (SC) feature in conversational agents (CAs) enables the emotional bond and consumer relationships. heightened interest SC with CAs led to exponential growth publications scattered across disciplines fragmented findings, thus limiting holistic understanding of domain warrants a macroscopic view guide future research directions. present study fills void by offering comprehensive literature review entailing science performance intellectual structure mapping. revealed domain's major theories, constructs, thematic structure. Thematic content analysis resulted conceptual framework encompassing antecedents, mediators, moderators, consequences CAs. discusses directions guiding practitioners academicians designing efficient ethical AI companions.

Language: Английский

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How does artificial intelligence (AI) enhance hospitality employee innovation? The roles of exploration, AI trust, and proactive personality

Journal of Hospitality Marketing & Management, Journal Year: 2023, Volume and Issue: 33(3), P. 261 - 287

Published: Sept. 26, 2023

ABSTRACTThis study examines how employees' perceived AI-supported autonomy influences their innovative performance in hospitality. Drawing on self-determination theory, we proposed and examined a moderated mediation model, positing work exploration as mediator AI trust proactive personality the two moderators. We collected 407 valid questionnaires waves, targeting full-time employees working with technology hospitality industry. Results demonstrated that is positively related to innovation via exploration. This by personality; therefore, who perceive engage more exploratory activities presence of personality. The current illuminates positive role consequent outcomes. Moreover, findings provide suggestions for hotel human resource practitioners target potential help them experience benefits – interaction workplace.本研究考察了员工感知人工智能支持的自主性如何影响他们在酒店业的创新绩效.基于自我决定理论,我们提出并检验了一个有调节的中介模型,将工作探索作为中介,人工智能信任和主动型人格作为两个调节.我们分两波收集了407份有效问卷,对象是酒店业使用人工智能技术的全职员工.研究结果表明,感知人工智能支持的自主性通过探索与创新呈正相关.这种中介关系由人工智能信任和主动型人格调节; 因此,感知到人工智能支持自主性的员工在人工智能信任和主动型人格存在的情况下,会进行更多的探索性活动.目前的研究阐明了人工智能对员工自主性和随后工作结果的积极作用.此外,研究结果为酒店人力资源从业者提供了发掘有潜力员工的建议,并帮助他们在工作场所体验与人工智能互动的好处.KEYWORDS: Artificial intelligence (AI)perceived autonomyexploration, performanceAI trust, AcknowledgmentsThe authors would like thank support Key Project National Social Science Fund China(22&ZD194).Disclosure statementNo conflict interest was reported author(s).Additional informationFundingThis supported China [22&ZD194].

Language: Английский

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The impact of trust in AI on career sustainability: The role of employee–AI collaboration and protean career orientation

Journal of Vocational Behavior, Journal Year: 2023, Volume and Issue: 146, P. 103928 - 103928

Published: Sept. 30, 2023

Language: Английский

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Artificial Intelligence in Environmental Monitoring: Advancements, Challenges, and Future Directions

Hygiene and Environmental Health Advances, Journal Year: 2024, Volume and Issue: unknown, P. 100114 - 100114

Published: Oct. 1, 2024

Language: Английский

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Human-artificial intelligence collaboration in supply chain outcomes: the mediating role of responsible artificial intelligence

Annals of Operations Research, Journal Year: 2025, Volume and Issue: unknown

Published: March 1, 2025

Language: Английский

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Technology married to good governance and diversity: Explaining e-participation preparedness in government

Technological Forecasting and Social Change, Journal Year: 2024, Volume and Issue: 201, P. 123218 - 123218

Published: Jan. 22, 2024

Language: Английский

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Exploring the Concept of Explainable AI and Developing Information Governance Standards for Enhancing Trust and Transparency in Handling Customer Data

Journal of Engineering Research and Reports, Journal Year: 2024, Volume and Issue: 26(7), P. 244 - 268

Published: June 27, 2024

The increasing integration of Artificial Intelligence (AI) systems in diverse sectors has raised concerns regarding transparency, trust, and ethical data handling. This study investigates the impact Explainable AI (XAI) models robust information governance standards on enhancing use customer data. A mixed-methods approach was employed, combining a comprehensive literature review with survey 342 respondents across various industries. findings reveal that implementation XAI significantly increases user trust compared to black-box models. Additionally, strong positive correlation found between adoption data, highlighting importance transparency frameworks mechanisms. Furthermore, underscores critical role education fostering facilitating informed decision-making interactions. results emphasize need for organizations prioritize techniques, establish frameworks, invest education, foster culture use. These recommendations provide roadmap harness benefits while mitigating potential risks ensuring responsible trustworthy practices.

Language: Английский

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Citizen-Centric Governance: Enhancing Citizen Engagement through Artificial Intelligence Tools

Sustainability, Journal Year: 2024, Volume and Issue: 16(7), P. 2686 - 2686

Published: March 25, 2024

The public sector presents important steps for digital transformation. Digital transformation uses a series of tools and methods to improve the relationship with citizens benefits. This paper explores role artificial intelligence (AI) in governance processes provides institutions insight regarding impact integrating chatbot communication when interacting citizens. present research an analysis socio-economic factors that determine use tools, i.e., propensity interact more administration as result improved through virtual assistants, highlights implications AI improving services towards civil society by determining degree satisfaction on aspects such reduced waiting times queues, access information regardless traditional working hours servants, quicker execution operations, et al. results, derived from 507 sets responses obtained online questionnaire, indicate number variables, residential environment, employment status, household income education level, significantly effectiveness mediating citizen government.

Language: Английский

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Combining artificial and human intelligence to manage cross-cultural knowledge in humanitarian logistics: a Yin–Yang dialectic systems view of knowledge creation

Journal of Knowledge Management, Journal Year: 2024, Volume and Issue: 28(7), P. 1963 - 1977

Published: Feb. 7, 2024

Purpose Aiming to resolve cross-cultural paradoxes in combining artificial intelligence (AI) with human (HI) for international humanitarian logistics, this paper aims adopt an unorthodox Yin–Yang dialectic approach address how AI–HI interactions can be interpreted as a sophisticated knowledge creation (KC) system that enables more effective decision-making providing relief across borders. Design/methodology/approach This is conceptual and pragmatic nature, whereas its structure design follows the requirements of real impact study. Findings Based on experimental information logical reasoning, authors first identify three critical challenges collaboration: building KC system, integrative AI HI moral judgement processing moral-related emotions collaboration. Then applying interpret Klir’s epistemological frame (1993), propose unconventional stratified understanding logistics cultures. Practical implications aids not only deeply complex issues stemming from cultural cognitions context cross-border but also equips culturally-diverse stakeholders effectively navigate these their potential ramifications. It enhances process optimizes synergy between logistics. Originality/value The originality lies use cognitive methodology metaphorize dynamic genesis AI-HI science management, applies game theory, multi-objective optimization Markov decision operationalize framework

Language: Английский

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