Generative AI as a catalyst for HRM practices: mediating effects of trust DOI Creative Commons
KDV Prasad, Tanmoy De

Humanities and Social Sciences Communications, Journal Year: 2024, Volume and Issue: 11(1)

Published: Oct. 13, 2024

This study investigated the impact of generative AI tools on human resource management practices, organizational commitment, employee engagement, and performance. The authors also mediating role trust in relationship between user perception commitment. A structured questionnaire was used to collect data from information technology industry employees measure 9 reflective constructs optimism, innovativeness, ease use, usefulness, trust, vigor, dedication, Two constructs, use are modeled as a higher-order construct – User Perception, whereas vigor Dedication another construct, Employee Engagement. mode-fit indices were assessed for both higher- lower-order model-fit models, reveal an excellent model fit. Positive statistically significant impacts observed constructs. commitment engagement positive significant, turn, performance significant. Trust partially mediated fostering enhanced theories readiness, stimulus-organization-response, acceptance utilized development study's theoretical framework, which provided fresh perspectives how influenced by experience context AI. Theoretically, it opens up new applications such personalized education services, digital art, realistic virtual assistants that previously unfeasible or impractical automation. practical implications field interdisciplinary research well will be greatly impacted To facilitate swift adoption, principles conceptualized model-, system-, application-level addition social-technical perspective, where they explicated defined. In end, our has given future scholars agenda enable them different while incorporating concepts these theories.

Language: Английский

Drivers of generative AI adoption in higher education through the lens of the Theory of Planned Behaviour DOI Creative Commons
Stanislav Ivanov, Mohammad Soliman, Aarni Tuomi

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 77, P. 102521 - 102521

Published: March 25, 2024

Drawing on the Theory of Planned Behaviour (TPB), this study investigates relationship between perceived benefits, strengths, weaknesses, and risks generative AI (GenAI) tools fundamental factors TPB model (i.e., attitude, subjective norms, behavioural control). The also structural association variables intention to use GenAI tools, how latter might affect actual usage in higher education. paper adopts a quantitative approach, relying an anonymous self-administered online questionnaire gather primary data from 130 lecturers 168 students education institutions (HEIs) several countries, PLS-SEM for analysis. results indicate that although lecturers' students' perceptions weaknesses differ, strengths advantages technologies have significant positive impact their attitudes, control. core positively significantly intentions which turn adoption such tools. This advances theory by outlining shaping HEIs. It provides stakeholders with variety managerial policy implications formulate suitable rules regulations utilise these while mitigating impacts disadvantages. Limitations future research opportunities are outlined.

Language: Английский

Citations

64
Modelling continuous intention to use generative artificial intelligence as an educational tool among university students: findings from PLS-SEM and ANN DOI
Mohamed Soliman, Reham Adel Ali, Jamshed Khalid

et al.

Journal of Computers in Education, Journal Year: 2024, Volume and Issue: unknown

Published: Aug. 27, 2024

Language: Английский

Citations

11
Acceptance of Artificial Intelligence in University Contexts: A Conceptual Analysis Based on UTAUT2 Theory DOI Creative Commons
Benicio Gonzalo Acosta Enríquez, Emma Verónica Ramos Farroñán, Luigi Villena Zapata

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(19), P. e38315 - e38315

Published: Sept. 30, 2024

Language: Английский

Citations

6
Design strategies for artificial intelligence based future learning centers in medical universities DOI Creative Commons

Yang Xiaowen,

Jingjing Ding, Biao Wang

et al.

BMC Medical Education, Journal Year: 2025, Volume and Issue: 25(1)

Published: Jan. 31, 2025

This study explores the acceptance of artificial intelligence(AI) tools in medical students and its influencing factors, thus providing theoretical basis practical guidance for construction future learning centers universities. comprehensively applied unified theory use technology(UTAUT), expectancy confirmation (ECT), innovation diffusion (IDT) to analyze data through structural equation modeling. Effort (EE), facilitating condition (FC), social influence (SI), satisfaction (SA) significantly students' continuance intention (CI) intelligence tools. Relative advantage (RA) has a significant impact on with Personal innovativeness (PI) plays positive moderating role relationships between (FC) (CI), as well (CI). The AI-based universities should attach importance personalized paths, ensuring technical support training, creating collaborative innovative environment, showcasing comparative

Language: Английский

Citations

0
Environmental Concerns and Water Conservation Behavior in Desert Tourism: Applying the Extended Norm Activation Theory for Gen Z Tourists DOI Open Access
Zabih-Allah Torabi, C. Michael Hall,

Nazanin azarniou

et al.

Sustainability, Journal Year: 2025, Volume and Issue: 17(6), P. 2474 - 2474

Published: March 12, 2025

This study examines the influence of environmental concerns on water conservation behaviors among Gen Z tourists in Iranian desert regions by extending Norm Activation Theory (NAT). Adopting a quantitative approach, data were collected through structured questionnaire from 330 (born between 1997 and 2012) who visited four villages (Qale Bala, Mesr, Abyaneh, Rezaabad) April July 2023. Using systematic sampling, every fifth tourist was selected. Data analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM). Results show that concerns, situational responsibility, personal norms positively impact behaviors, while denial responsibility negatively affects them. Personal pride guilt emotions, which turn promote behaviors. The extended model, incorporating demonstrated improved explanatory power over original NAT. research contributes to sustainable tourism literature integrating moral emotions into NAT framework, offering insights psychological mechanisms driving pro-environmental environments.

Language: Английский

Citations

0
International perspectives on artificial intelligence in higher education: An explorative study of students’ intention to use ChatGPT across the Nordic countries and the USA DOI Creative Commons
Montathar Faraon, Kari Rönkkö, Marcelo Milrad

et al.

Education and Information Technologies, Journal Year: 2025, Volume and Issue: unknown

Published: March 20, 2025

Language: Английский

Citations

0
Understanding higher education students’ adoption of generative AI technologies: An empirical investigation using UTAUT2 DOI
Olga V. Sergeeva, Мarina R. Zheltukhina, Tatyana Shoustikova

et al.

Contemporary Educational Technology, Journal Year: 2025, Volume and Issue: 17(2), P. ep571 - ep571

Published: Feb. 24, 2025

Generative artificial intelligence (GAI) technologies are gaining traction in higher education, offering potential benefits such as personalized learning support and enhanced productivity. However, successful integration requires understanding the factors influencing students’ adoption of these emerging tools. This study investigates determinants shaping education GAI through lens unified theory acceptance use technology 2 framework. Data was collected from Pyatigorsk State University students analyzed using structural equation modeling. The findings reveal habit (HB) most influential predictor among students, followed by performance expectancy. Hedonic motivation, social influence (SI), price value positively influenced behavioral intention (BI) to technologies. Surprisingly, facilitating conditions (FCs) exhibited a negative effect on BI, suggesting gaps systems. identifies no significant gender differences underlying driving adoption. Based results, recommendations provided foster HB formation, communicate benefits, enhance hedonic appeal, leverage SI, address concerns, strengthen FCs. Potential limitations include cross-sectional nature data, geographic constraints, reliance self-reported measures, lack consideration for individual moderators. research contributes growing body knowledge educational contexts, insights guide institutions responsibly integrating innovative tools while addressing student needs promoting improved outcomes.

Language: Английский

Citations

0
“I am proud of using ChatGPT”: a moderated-mediating model of bandwagon effect on pride through habit formation DOI
Man Lung Jonathan Kwok, Raymond Kwong, Peggy Ng

et al.

Online Information Review, Journal Year: 2025, Volume and Issue: unknown

Published: Feb. 26, 2025

Purpose This study addresses the remarkable research gap in existing literature on Chat Generative Pre-training Transformer (ChatGPT), which has primarily explored its functional benefits rather than psychological states of users. By integrating self-concept theory and attitudes, this develops a moderated-mediating model to examine impact bandwagon effect users’ habit formation subsequent feelings pride associated with ChatGPT application. Design/methodology/approach analyzed self-reported survey data from 568 respondents mainland China using partial least squares structural equation modeling. Findings The findings reveal that indirectly influences through habits related applications. also identifies boundary condition social-adjustive attitude, strengthens both direct relationship between indirect pride. Originality/value contributes field by offering novel perspective adoption, highlighting role attitudinal functions driving intentions utilize technology, focus desire for as motivating factor.

Language: Английский

Citations

0
Factors affecting customer adoption of AI digital agents in service operations: an assessment of relative importance DOI
Aman Pathak, Veena Bansal

Behaviour and Information Technology, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 23

Published: April 9, 2025

Language: Английский

Citations

0
Perceptions of Generative AI Tools in Higher Education: Insights from Students and Academics at Sultan Qaboos University DOI Creative Commons
Alsaeed Alshamy, Aisha Salim Ali Al-Harthi, Shubair Abdulla

et al.

Education Sciences, Journal Year: 2025, Volume and Issue: 15(4), P. 501 - 501

Published: April 16, 2025

This study investigates the perceptions of generative artificial intelligence (GenAI) tools, such as ChatGPT, among students and academics at Sultan Qaboos University (SQU) within context higher education in Oman. Using Technology Acceptance Model (TAM), it explores five key dimensions: actual use (AU), ease (EU), perceived usefulness (PU), challenges (PC), intention to (IU). Data collected from 555 168 provide valuable insights into opportunities associated with adoption GenAI based on results a t-test. The findings reveal notable differences between regarding their tools across all TAM variables. Students report frequent for academic support, including personalized learning, brainstorming, completing assignments, while highlight its role developing learning materials, assessments, lesson plans, customizing content. Both groups recognize potential enhance efficiency innovation practices. However, concerns arise over-reliance GenAI, diminished critical thinking creativity, integrity risks. Academics consistently express greater about these than students, particularly plagiarism, misconduct, GenAI. Despite challenges, majority indicate willingness continue using tools. contrast underscores need tailored interventions address distinct academics. These regulatory frameworks, comprehensive institutional guidelines, targeted training programs ensure ethical responsible technologies. By addressing areas, institutions Oman can leverage safeguarding fostering essential skills creativity.

Language: Английский

Citations

0