What motivates academics in Egypt toward generative AI tools? An integrated model of TAM, SCT, UTAUT2, perceived ethics, and academic integrity

Information Development, Год журнала: 2025, Номер unknown

Опубликована: Янв. 31, 2025

In recent years, the adoption of AI technologies in academia has increased, prompting a need to explain factors driving scholars adopt or plan research routines. This study integrates three models into one integrated model: TAM, UTAUT, and SCT. These are combined understand how GenAI self-efficacy, perceived ethics, academic integrity, social influence, facilitating conditions, risks, ease use, usefulness influenced participants’ intention research. Following this, data were collected from Egyptian academics linked universities. There 742 responses this question. Data analyzed using Partial Least Squares Structural Equation Modelling (PLS-SEM). The paper's results showed that ethics significantly related perceptions usefulness, use GenAI. Facilitating conditions have negative effect on risk does not affect significantly. Notably, result found integrity GenAI's usage utility. guide illustrates universities must take proactive steps influence will be used reinforces importance these tools within an ethical lens. paper emphasizes balance generative practices. It examines role attitudes toward AI. They represent step forward our understanding induce adoption–in case, context, specifically Egypt. Additionally, it places sound emphasis technology can beneficial whilst advocating for sensible approach application, which includes principles.

Язык: Английский

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Study protocol for factors influencing the adoption of ChatGPT technology by startups: Perceptions and attitudes of entrepreneurs

PLoS ONE, Год журнала: 2024, Номер 19(2), С. e0298427 - e0298427

Опубликована: Фев. 15, 2024

Background Generative Artificial Intelligence (AI) technology, for instance Chat Pre-trained Transformer (ChatGPT), is continuously evolving, and its userbase growing. These technologies are now being experimented by the businesses to leverage their potential minimise risks in business operations. The continuous adoption of emerging AI will help startups gain more experience with adoptions, helping them evolving technological innovation landscape. However, there a dearth prior research on ChatGPT startup context, especially from Entrepreneur perspective, highlights urgent need thorough investigation identify variables influencing this adoption. primary objective study ascertain factors that impact uptake technology startups, anticipate influence triumph companies, offer pragmatic suggestions various stakeholders, including entrepreneurs, policymakers. Method analysis This attempts explore impacting startups’ an emphasis comprehending entrepreneurs’ attitudes perspectives. To then empirically validate framework, uses two-stage methodology includes experience-based research, survey research. method design descriptive Correlational design. Stage one involves adding practical insights, real-world context model drawing professional consulting experiences researchers SMEs. outcome stage ( also called as framework ), building Upon Technology Adoption Model (TAM), highlight latent ) connected subset each other finally factor (or otherwise). Further, relationships graphically highlighted be translated into structured questionnaire. two based In stage, questionnaire tested small group entrepreneurs who has provided informed consent) distributed among founders further between these level individual have overall Partial Least Squares Structural Equation Modeling (PLS-SEM) used analyze gathered data. multifaceted approach allows comprehensive process, understanding, describing, correlating key elements at play. Discussion first investigate AI, Entrepreneurs study’s findings give Entrepreneurs, Policymakers, providers, researchers, Institutions offering support like Academia, Incubators Accelerators, University libraries, public chambers commerce, foreign embassies important new information better understand encourage hinder allow make well-informed strategic decisions about how apply use settings thereby improving services businesses.

Язык: Английский

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Model of AI acceptance in higher education: arguing teaching staff and students perspectives

International Journal of Information and Learning Technology, Год журнала: 2024, Номер 41(4), С. 371 - 393

Опубликована: Июль 11, 2024

Purpose Artificial intelligence (AI) is constantly evolving and poised to significantly transform the world, affecting nearly every sector aspect of society. As AI continues evolve, it expected create a more dynamic, efficient personalized education system, supporting lifelong learning adapting needs pace each student. In this research, we focus on testing model acceptance in higher (HE) through human interaction-based factors including attitudes, competencies openness experience. Perceived benefits were our expectation enhance HE. Design/methodology/approach To test model, collected data from Arab HE institutions by spreading an online questionnaire. The sample consisted 1,152 teaching staff students region, which selected randomly. Partial least squares structural equation modeling (PLS-SEM) was employed determine interrelated dependence relationships among variables. Furthermore, processing analysis conducted ensure reliability validity questionnaires, multicollinearity factor loading, items tested one time their after translation into language. Findings Results reveal that adopted attitude, digital competency experience have positive significant relationship with both perceived region. results also demonstrate indirect impact existence benefits, important validation model. Originality/value research contributes theory providing evidence generative applications continue expand change, way accept interact them will be different. This could authorities facilitate institutions.

Язык: Английский

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FinTech knowledge as drivers of higher education students’ FinTech entrepreneurial intentions: Insights from stimulus-organism-response theory

The International Journal of Management Education, Год журнала: 2024, Номер 22(3), С. 101027 - 101027

Опубликована: Июль 17, 2024

Язык: Английский

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ChatGPT adoption and digital entrepreneurial intentions: An empirical research based on the theory of planned behaviour

Entrepreneurial Business and Economics Review, Год журнала: 2024, Номер 12(2), С. 129 - 142

Опубликована: Янв. 1, 2024

Objective: The objective of the article is to adopt theory planned behaviour explore how ChatGPT adoption in entrepreneurship can inspire individuals' intentions become digital entrepreneurs underlying nuanced mediation mechanism psychological and cognitive constructs (attitude towards entrepreneurship, subjective norms, perceived behavioural control). Research Design & Methods: Drawing on sample 604 higher education students at six universities Vietnam, I used Cronbach's alpha confirmatory factor analysis test construct's consistent reliability validity. Then, multiple regression hypotheses. Findings: Results current research reported that significantly positively affects attitudes control, entrepreneurial intentions. Interestingly, three core antecedents mediate impacts Implications Recommendations: practical takeaways include enhancing with tech-positive modules, personalized guidance for entrepreneurs, hands-on skill development through workshops, AI-friendly policies business integration. Contribution Value Added: first study which provides empirical evidence indicating which, turn, their Thus, these findings contribute extent literature, especially landscape AI revolution.

Язык: Английский

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