Great Acts Are Made Up of Small Deeds DOI

Rawia Ahmed,

Said Al Riyami, Nisar Ahmad

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2025, Номер unknown, С. 203 - 226

Опубликована: Март 13, 2025

In this chapter, a snapshot of the rapidly growing field artificial intelligence (AI) in business education is provided based on citation-based analysis using Bibiliometrix R- tool, Vos viewer software and content-based analysis. The results reveal findings that set roadmap for future educators across many spheres domain. also show emergent growing, with most extant papers published 2023. Current work primarily focused utilizing AI no subfields yet emerging (i.e., Ethical aspects education, academic research, etc.), even though these areas represent promising research. Among all subfields, relates to entrepreneurship domain, some relevant marketing accounting. Based hitherto works, scholarly experts were identified. Practical recommendations educational leaders along research directions are presented.

Язык: Английский

The influence of ChatGPT on student engagement: A systematic review and future research agenda DOI Creative Commons
Chung Kwan Lo, Khe Foon Hew, Morris Siu‐Yung Jong

и другие.

Computers & Education, Год журнала: 2024, Номер 219, С. 105100 - 105100

Опубликована: Июнь 8, 2024

ChatGPT, a state-of-the-art artificial intelligence (AI) chatbot, has gained considerable attention as transformative yet controversial tool for enhancing teaching and learning experiences. Several reviews numerous articles have been written about harnessing ChatGPT in education since its release on November 30, 2022. Besides summarising strengths, weaknesses, opportunities, threats (SWOT) identified previous systematic of research, this review aims to develop new understanding influence student engagement by synthesising the existing related research using three-dimensional framework comprising behavioural, emotional, cognitive aspects. We searched relevant databases included 72 empirical studies published within one year ChatGPT's initial release. The findings reveal robust but narrowly focused evidence behavioural (i.e., work with ChatGPT) disengagement academic dishonesty). emotional aspect is mixed, instances both (e.g., satisfaction interest/fun) disappointment worry/anxiety). There broad weak regarding increased positive self-perception) reduced critical thinking overreliance). Our uncovers several under-explored indicators engagement, pointing need further research. Specifically, future could focus students' study habits attendance (behavioural engagement), social interaction (emotional self-regulation (cognitive engagement) ChatGPT-supported environments.

Язык: Английский

Процитировано

46

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

Systems, Год журнала: 2024, Номер 12(3), С. 103 - 103

Опубликована: Март 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.

Язык: Английский

Процитировано

23

“ENHANCING LEARNING POTENTIAL: INVESTIGATING MARKETING STUDENTS’ BEHAVIORAL INTENTIONS TO ADOPT CHATGPT” DOI
Anmol Gulati, Harish Saini, Sultan Singh

и другие.

Marketing Education Review, Год журнала: 2024, Номер 34(3), С. 201 - 234

Опубликована: Янв. 2, 2024

The rapid proliferation of the Internet has sparked a resurgence attention toward function novel artificial intelligence technologies in higher education. effective adoption recent advancements human-computer interaction is crucial for inclusive education and innovation, resulting sustainable socioeconomic growth development. Therefore, present investigation focuses to examine various factors that exert an influence on acceptance use ChatGPT by marketing students. research's significance lies integrating concept system flexibility into Unified Theory Acceptance Use Technology (UTAUT) model. An adapted questionnaire was administered gather information, statistical procedures were conducted 309 valid responses. study's results revealed habit most significant predictor behavioral intention, with performance expectancy effort following closely behind. However, research shows perceived risk not vital factor students, as they exhibit heightened sense control regulating their online behavior. Besides, implications presented this study hold great policymakers, educators, top-level management personnel within institutions evaluate update existing policies accommodate integration AI tools like

Язык: Английский

Процитировано

20

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

Hongji Yang

Internet Reference Services Quarterly, Год журнала: 2024, Номер 28(2), С. 223 - 242

Опубликована: Янв. 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.

Язык: Английский

Процитировано

19

How ChatGPT adoption stimulates digital entrepreneurship: A stimulus-organism-response perspective DOI
Cong Doanh Duong, Thanh Hieu Nguyen

The International Journal of Management Education, Год журнала: 2024, Номер 22(3), С. 101019 - 101019

Опубликована: Июль 3, 2024

Язык: Английский

Процитировано

16

Leveraging TikTok for active learning in management education: An extended technology acceptance model approach DOI
Shaofeng Wang, Zhuo Sun, Mengti Li

и другие.

The International Journal of Management Education, Год журнала: 2024, Номер 22(3), С. 101009 - 101009

Опубликована: Июль 8, 2024

Язык: Английский

Процитировано

14

Global insights and the impact of generative AI-ChatGPT on multidisciplinary: a systematic review and bibliometric analysis DOI Creative Commons
Nauman Khan, Zahid A. Khan, Anis Koubâa

и другие.

Connection Science, Год журнала: 2024, Номер 36(1)

Опубликована: Май 16, 2024

In 2022, OpenAI's unveiling of generative AI Large Language Models (LLMs)- ChatGPT, heralded a significant leap forward in human-machine interaction through cutting-edge technologies. With its surging popularity, scholars across various fields have begun to delve into the myriad applications ChatGPT. While existing literature reviews on LLMs like ChatGPT are available, there is notable absence systematic (SLRs) and bibliometric analyses assessing research's multidisciplinary geographical breadth. This study aims bridge this gap by synthesising evaluating how has been integrated diverse research areas, focussing scope distribution studies. Through review scholarly articles, we chart global utilisation scientific domains, exploring contribution advancing paradigms adoption trends among different disciplines. Our findings reveal widespread endorsement multiple fields, with implementations healthcare (38.6%), computer science/IT (18.6%), education/research (17.3%). Moreover, our demographic analysis underscores ChatGPT's reach accessibility, indicating participation from 80 unique countries ChatGPT-related research, most frequent keyword occurrence, USA (719), China (181), India (157) leading contributions. Additionally, highlights roles institutions such as King Saud University, All Institute Medical Sciences, Taipei University pioneering dataset. not only sheds light vast opportunities challenges posed pursuits but also acts pivotal resource for future inquiries. It emphasises that (LLM) role revolutionising every field. The insights provided paper particularly valuable academics, researchers, practitioners disciplines, well policymakers looking grasp extensive impact technologies community.

Язык: Английский

Процитировано

12

Navigating the new frontier: the impact of artificial intelligence on students’ entrepreneurial competencies DOI Creative Commons
Tatiana Somià, Mariangela Vecchiarini

International Journal of Entrepreneurial Behaviour & Research, Год журнала: 2024, Номер 30(11), С. 236 - 260

Опубликована: Авг. 7, 2024

Purpose Artificial intelligence (AI) technologies have led to significant transformations across industries and society, including the field of education. The integration AI in educational settings has potential improve students' learning experience support their individual competencies when paired with non-AI methods. Despite growing importance modern education, there remains a noticeable research gap regarding its use entrepreneurship education effects Chatbots on entrepreneurial competencies. To address this gap, an exploratory study was conducted undergraduate students who were tasked using ChatGPT business model canvas. Design/methodology/approach chosen methodology aligned purpose, aiming explore relationship between Generative Due novel nature problem, mixed methods approach. A survey open- closed-ended questions designed, statistical text analyses performed interpret data test identified propositions. Findings findings indicate that can enhance types considered study: spotting opportunities, creativity, vision, valuing ideas ethical sustainable thinking. results show be particularly helpful ability ideas. Originality/value Overall, highlights adopting experiential methodologies for enhancing improving outcomes.

Язык: Английский

Процитировано

9

Fostering entrepreneurial success from the classroom: unleashing the potential of generative AI through technology-to-performance chain. A multi-case study approach DOI
Giulio Marchena Sekli, May Portuguez Castro

Education and Information Technologies, Год журнала: 2025, Номер unknown

Опубликована: Янв. 18, 2025

Язык: Английский

Процитировано

1

From ideas to ventures: building entrepreneurship knowledge with LLM, prompt engineering, and conversational agents DOI
Marsela Thanasi-Boçe,

Julian Hoxha

Education and Information Technologies, Год журнала: 2024, Номер unknown

Опубликована: Июнь 10, 2024

Язык: Английский

Процитировано

7