Study protocol for factors influencing the adoption of ChatGPT technology by startups: Perceptions and attitudes of entrepreneurs DOI Creative Commons
Varun Gupta, Hongji Yang

PLoS ONE, Journal Year: 2024, Volume and Issue: 19(2), P. e0298427 - e0298427

Published: Feb. 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.

Language: Английский

Understanding the diffusion of AI-generative (ChatGPT) in higher education: Does students' integrity matter? DOI Creative Commons
Mohamed Bouteraa, Saeed Awadh Bin-Nashwan,

Meshari Al-Daihani

et al.

Computers in Human Behavior Reports, Journal Year: 2024, Volume and Issue: 14, P. 100402 - 100402

Published: March 14, 2024

ChatGPT, an AI-powered language model, is revolutionising the academic world. Scholars, researchers, and students use its advanced capabilities to achieve their educational objectives, including generating innovative ideas, delivering assignments, conducting extensive research projects. Nevertheless, of ChatGPT among contentious, giving rise significant apprehensions regarding integrity AI-facilitated deceit. At same time, scholarly communities currently need more well-defined standards for adopting such academia-oriented technology. This study aims determine students' using Unified Theory Acceptance Use Technology (UTAUT) Social Cognitive (SCT), notably role in determining adoption behaviour. The analysis 921 responses demonstrated that utilisation influenced positively by performance expectancy, social influence, self-efficacy, technology personal anxiety. Conversely, student was found negatively impact usage. Remarkably, has a positive moderating effect between effort expectancy it negative on link self-efficacy with Hence, we propose community, AI model developers, publishers, relevant stakeholders collaborate establish explicit rules chatbots ethical manner purposes.

Language: Английский

Citations

38
Artificial intelligence and social media on academic performance and mental well-being: Student perceptions of positive impact in the age of smart learning DOI Creative Commons
Muhammad Farrukh Shahzad, Shuo Xu, Weng Marc Lim

et al.

Heliyon, Journal Year: 2024, Volume and Issue: 10(8), P. e29523 - e29523

Published: April 1, 2024

The advancement of artificial intelligence (AI) and the ubiquity social media have become transformative agents in contemporary educational ecosystems. spotlight this inquiry focuses on nexus between AI usage relation to academic performance mental well-being, role smart learning facilitating these relationships. Using partial least squares-structural equation modeling (PLS-SEM) a sample 401 Chinese university students. study results reveal that both positive impact well-being among Furthermore, serves as mediating variable, amplifying beneficial effects well-being. These revelations contribute discourse technology-enhanced education, showing embracing can student

Language: Английский

Citations

36
Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs DOI
Feriel Khennouche, Youssef Elmir, Yassine Himeur

et al.

Expert Systems with Applications, Journal Year: 2024, Volume and Issue: 246, P. 123224 - 123224

Published: Jan. 19, 2024

Language: Английский

Citations

31
Enhancing User Experience With a Generative AI Chatbot DOI
Jeong Soo Kim, Minseong Kim, Tae Hyun Baek

et al.

International Journal of Human-Computer Interaction, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 13

Published: Feb. 13, 2024

With the rapid evolution of artificial intelligence (AI), this study aims to examine interplay among perceived usability, enjoyment, responsiveness, and intention continue using ChatGPT. Structural equation modeling (SEM) was used investigate our proposed model. We recruited 446 ChatGPT users through an online survey conducted on Connect platform, powered by CloudResearch. Perceived usability (β = 0.254) enjoyment 0.438) significantly influence satisfaction with However, responsiveness is not related attachment or satisfaction. Furthermore, we established that 0.405) 0.447) are pivotal in shaping users' intentions ChatGPT, providing insights into human–AI interactions. The practical implications findings suggest generative AI chatbots should be crafted a focus enjoyable, user-centered interfaces foster long-term user engagement. developers design conversation flows chatbot personas optimize experience.

Language: Английский

Citations

25
ChatGPT awareness, acceptance, and adoption in higher education: the role of trust as a cornerstone DOI Creative Commons
Muhammad Farrukh Shahzad, Shuo Xu, Iqra Javed

et al.

International Journal of Educational Technology in Higher Education, Journal Year: 2024, Volume and Issue: 21(1)

Published: July 30, 2024

Abstract As technology continues to advance, the integration of generative artificial intelligence tools in various sectors, including education, has gained momentum. ChatGPT, an extensively recognized language model created by OpenAI, significant importance, particularly education. This study investigates awareness, acceptance, and adoption a state-of-the-art developed higher education institutions across China. applies partial least squares structural equation modeling (PLS-SEM) method for examining data collected from 320 Chinese university students. The study’s conceptual framework integrates key determinants Technology Acceptance Model (TAM) extends it incorporating perceived as critical factor process. findings reveal that ChatGPT awareness significantly influences intention adopt ChatGPT. Perceived ease use, usefulness, mediate association between Additionally, trust moderates relationship intelligence. Moving forward, order maintain students’ thinking skills inventiveness their assessment writing, assessments must promote safe use Therefore, educators will be crucial ensuring are used ethically suitably providing clear guidelines instructions.

Language: Английский

Citations

24
An Empirical Evaluation of a Generative Artificial Intelligence Technology Adoption Model from Entrepreneurs’ Perspectives DOI Creative Commons
Varun Gupta

Systems, Journal Year: 2024, Volume and Issue: 12(3), P. 103 - 103

Published: March 18, 2024

Technologies, such as Chat Generative Pre-Trained Transformer (ChatGPT), are prime examples of Artificial Intelligence (AI), which is a constantly evolving area. SMEs, particularly startups, can obtain competitive edge, innovate their business models, gain value, and undergo digital transformation by implementing these technologies. Continuous but gradual experimentation with technologies the foundation for adoption. The experience that comes from trying new help entrepreneurs adopt more strategically experiment them. urgent need an in-depth investigation highlighted paucity previous research on ChatGPT uptake in startup context, entrepreneurial perspective. objective this study to empirically validate AI technology adoption model establish direction strength correlations among factors perspectives entrepreneurs. data collected 482 who exhibit great diversity genders, countries startups located, industries serve, age, educational levels, work entrepreneurs, length time have been market. Collected analyzed using Partial Least Squares Structural Equation Modeling (PLS-SEM) technique, results statistical examination relationships between model’s factors. indicate social influence, domain experience, familiarity, system quality, training support, interaction convenience, anthropomorphism impact pre-perception perception phase These motivate technology, thereby building perceptions its usefulness, perceived ease use, enjoyment, three turn affect emotions toward and, finally, switching intentions. Control variables like gender, attainment no appreciable effect intentions alternatives technology. Rather, factor running businesses shows itself be crucial one. practical implications other innovation ecosystem actors, including, instance, providers, libraries, policymakers. This enriches acceptance theory extends existing literature introducing stages specific entrepreneurship.

Language: Английский

Citations

23
Generative Artificial Intelligence (AI) Technology Adoption Model for Entrepreneurs: Case of ChatGPT DOI
Varun Gupta,

Hongji Yang

Internet Reference Services Quarterly, Journal Year: 2024, Volume and Issue: 28(2), P. 223 - 242

Published: Jan. 5, 2024

This article presents an extensive Generative AI Technology Adoption Model intended to elucidate the complex process that entrepreneurs and other innovation ecosystem actors, for instance, libraries, go through its adoption. The model suggests adoption happens in three stages: Pre-Perception & Perception, Assessment, Outcome. During Perception Phase, initiate their technology exploration by navigating social factors, domain experience, technological familiarity, system quality, training support, interaction convenience, anthropomorphism; with utilitarian value hedonic values playing important role. As they transition Assessment Stage, perceived usefulness, ease of use, a novel addition, enjoyment, shape evaluations, leading generations emotions toward it, overweighting values. finishes Outcome where developed Stage become tangible intentions switch (use or human services). highlights factors (also called latent variables) relationships grounded on researcher's professional experiences need be further empirically validated. Entrepreneurial implications highlight strategic insights model, providing decision-making roadmap highlighting between hedonistic Entrepreneurs can create well-informed integrations are line business objectives using incremental process. model's focus comparative evaluations gives ability strategically map usability best possible commercial results. offers nuanced understanding entrepreneurs' processes, which is also applicable actors ecosystem.

Language: Английский

Citations

19
Nexus between Chat GPT usage dimensions and investment decisions making in Pakistan: Moderating role of financial literacy DOI
Rafid Ullah, Hishamuddin Ismail, Mohammad Tariqul Islam Khan

et al.

Technology in Society, Journal Year: 2024, Volume and Issue: 76, P. 102454 - 102454

Published: Jan. 2, 2024

Language: Английский

Citations

17
Examining Students’ Acceptance and Use of ChatGPT in Saudi Arabian Higher Education DOI Creative Commons
Abu Elnasr E. Sobaih, Ibrahim A. Elshaer, Ahmed M. Hasanein

et al.

European Journal of Investigation in Health Psychology and Education, Journal Year: 2024, Volume and Issue: 14(3), P. 709 - 721

Published: March 17, 2024

This study examines students’ acceptance and use of ChatGPT in Saudi Arabian (SA) higher education, where there is growing interest the this tool since its inauguration 2022. Quantitative research data, through a self-reporting survey drawing on “Unified Theory Acceptance Use Technology” (UTAUT2), were collected from 520 students one public universities SA at start first semester year 2023–2024. The findings structural equation modeling partially supported UTAUT previous relation to significant direct effect performance expectancy (PE), social influence (SI), effort (EE) behavioral intention (BI) PE, SI, BI actual ChatGPT. Nonetheless, results did not support earlier relationship between facilitating conditions (FCs) both ChatGPT, which was found be negative insignificant second one. These because absence resources, support, aid external sources showed partial mediation link FC education full EE education. provide numerous implications for scholars institutions SA, are also other similar contexts.

Language: Английский

Citations

17
What makes for digital entrepreneurs? The role of AI-related drivers for nascent digital start-up activities DOI
Cong Doanh Duong

European Journal of Innovation Management, Journal Year: 2024, Volume and Issue: unknown

Published: June 11, 2024

Purpose Applying the Stimulus–Organism–Response (SOR) model, this study aims to explore how AI-driven stimuli (e.g. ChatGPT adoption in entrepreneurship and perceived AI competencies) stimulate individuals’ cognitive organisms digital entrepreneurial opportunity exploration exploitation), these individually, congruently, incongruently trigger their behavioral responses nascent start-up activities). Design/methodology/approach Utilizing a sample of 1326 MBA students Vietnam with stratified sampling approach, multiple linear regression polynomial response surface analysis were used test hypotheses. Findings The findings reveal that competencies have positive significant impact on exploitation, which turn, positively affects activities. Moreover, also reports exploitation can be congruently combined each other effects Practical implications Some valuable recommendations based been provided for practitioners policymakers. Originality/value contributes academic landscape by validating SOR model within context entrepreneurship. It emphasizes sequential processes stimulus, responses, outcomes, shedding light nuanced landscape.

Language: Английский

Citations

15