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

Behavioral analysis of ChatGPT users based on the ABC model: Focusing on a socio-technical approach DOI
Yang Liu, Huizhong Wang, Younggeun Park

et al.

European Management Journal, Journal Year: 2025, Volume and Issue: unknown

Published: Jan. 1, 2025

Language: Английский

Citations

1
Bibliometric Analysis on ChatGPT Research with CiteSpace DOI Creative Commons
Dongyan Nan, Xiangying Zhao, Chaomei Chen

et al.

Information, Journal Year: 2025, Volume and Issue: 16(1), P. 38 - 38

Published: Jan. 9, 2025

ChatGPT is a generative artificial intelligence (AI) based chatbot developed by OpenAI and has attracted great attention since its launch in late 2022. This study aims to provide an overview of research through CiteSpace-based bibliometric analysis. We collected 2465 published articles related from the Web Science. The main forces were identified examining productive researchers, institutions, countries/regions. Moreover, we performed co-authorship network analysis at levels author country/region. Additionally, conducted co-citation identify impactful journals/sources, literature field cluster primary themes this field. key findings are as follows. First, found that most researcher, institution, country Ishith Seth/Himel Mondal, Stanford University, United States, respectively. Second, highly cited researchers Tiffany H. Kung, Tom Brown, Malik Sallam. Third, impactable sources/journals area ARXIV, Nature, Cureus Journal Medical Fourth, work was Kung et al., who demonstrated can potentially support medical education. Fifth, overall author-based collaboration consists several isolated sub-networks, which indicates authors small groups lack communication. Sixth, Kingdom, India, Spain had high degree betweenness centrality, means they play significant roles country/region-based network. Seventh, major “data processing using ChatGPT”, “exploring user behavioral intention “applying for differential diagnosis”. Overall, believe our will help scholars stakeholders understand academic development ChatGPT.

Language: Английский

Citations

1
Antecedents of Generative Artificial Intelligence Technology Adoption: Extended Innovation of Diffusion Model with Cultural Dimensions and Risks Perceptions DOI Creative Commons
Jamilah Mohammed Alamri

Journal of Ecohumanism, Journal Year: 2025, Volume and Issue: 4(1)

Published: Jan. 21, 2025

As Artificial Intelligence (AI) technologies are taking the lead among technological advancements around world, societies increasingly becoming interwoven with Generative AI (GAI) in all aspects, including higher education (HE). This study’s main aim is to examine how individual-level cultural dimensions influence students’ adoption of GAI learning, drawing on an extended Innovation Diffusion Theory (IDT) model. It explores impact (individualism/collectivism and uncertainty avoidance), IDT innovation factors (relative advantage, complexity, compatibility, observability, trialability), individual (self-efficacy, perceived risk) Saudi perceptions across several universities. Quantitative data were collected from 306 online survey analyzed using CB-SEM. Results highlight instrumental role dimensions, individualism/collectivism avoidance negatively affecting adoption. While complexity showed no significant impact, other variables positively influenced Furthermore, self-efficacy risk found be indicators use. The study emphasizes differences that shape technology collectivist moving toward individualism such as Saudi. identifies limitations, provides useful insights, suggests recommendations for future research uptake culturally diverse HE contexts.

Language: Английский

Citations

1
University Students’ Acceptance and Usage of Generative AI (ChatGPT) from a Psycho-Technical Perspective DOI
Lawal Ibrahim Dutsinma Faruk, Rohani Rohan, Unhawa Ninrutsirikun

et al.

Published: Nov. 29, 2023

The emergence of ChatGPT as a generative AI tool has revolutionized the educational scenario by bringing in unprecedented changes. In this respect exploring factors that affect adoption and acceptance services for purpose is utmost importance. Accordingly, work we take hybrid psycho-technical approach considering technological (perceived usefulness, ease use facilitating conditions), contextual humanness novelty value), psychological (agreeableness, extraversion, openness, conscientiousness, neuroticism) gratifications use. Data collected from sample university students who regularly across two Asian countries. data analysis done using Partial Least Squares Structural Equation Modelling. Results indicate among technical only perceived usefulness successfully predicts usage. Both significantly explain Finally, factors' agreeableness, neuroticism determine usage scenario, however, later are found to be negatively associated with

Language: Английский

Citations

16
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

Citations

7