Applying a modified technology acceptance model to explain higher education students’ usage of ChatGPT: A serial multiple mediation model with knowledge sharing as a moderator

The International Journal of Management Education, Год журнала: 2023, Номер 21(3), С. 100883 - 100883

Опубликована: Окт. 14, 2023

Язык: Английский

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Artificial intelligence prompt engineering as a new digital competence: Analysis of generative AI technologies such as ChatGPT

Entrepreneurial Business and Economics Review, Год журнала: 2023, Номер 11(3), С. 25 - 37

Опубликована: Янв. 1, 2023

Objective: The article aims to offer a thorough examination and comprehension of the challenges prospects connected with artificial intelligence (AI) prompt engineering.Our research aimed create theoretical framework that would highlight optimal approaches in field AI engineering. Research Design & Methods:This utilized narrative critical literature review established conceptual derived from existing taking into account both academic practitioner sources.This should be regarded as work emphasizes best practices domain engineering.Findings: Based on conducted deep extensive query subject, well professional press Internet portals, we identified various insights for effective engineering.We provide specific prompting strategies. Implications Recommendations:The study revealed profound implications engineering across domains such entrepreneurship, art, science, healthcare.We demonstrated how crafting prompts can significantly enhance performance large language models (LLMs), generating more accurate contextually relevant results.Our findings valuable practitioners, researchers, educators, organizations integrating their operations, emphasizing need invest time resources engineering.Moreover, contributed PROMPT field, providing clear actionable guidelines text-to-text Contribution Value Added:The value this lies its comprehensive exploration digital competence.By building upon prior literature, deeper understanding intricacies involved role competence.

Язык: Английский

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The impact of artificial intelligence (AI) on employees’ skills and well-being in global labor markets: A systematic review

Oeconomia Copernicana, Год журнала: 2023, Номер 14(3), С. 731 - 767

Опубликована: Сен. 30, 2023

Research background: This article discusses how artificial intelligence (AI) is affecting workers' personal and professional lives, because of many technological disruptions driven by the recent pandemic that are redefining global labor markets. Purpose article: The objective this paper to develop a systematic review relevant literature identify effects change, especially adoption AI in organizations, on employees’ skills (professional dimension) well-being (personal dimension). Methods: To implement research scope, authors relied Khan's five-step methodology, which included PRISMA flowchart with embedded keywords for selecting appropriate quantitative data study. Firstly, 639 scientific papers published between March 2020 2023 (the end COVID-19 according WHO) from Scopus Web Science (WoS) databases were selected. After applying procedures techniques, 103 articles retained, focused dimension, while 35 component. Findings & value added: Evidence has been presented highlighting difficulties associated ongoing requirement upskilling or reskilling as an adaptive reaction changes. efforts counterbalance skill mismatch impacted employees' challenging times. Although emphasis digital widely accepted, our investigation shows topic still not properly developed. paper's most significant contributions found thorough analysis affects well-being, representative aspects researched academic due paradigm changes generated continuous disruptions.

Язык: Английский

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Large Language Models: A Comprehensive Survey of its Applications, Challenges, Limitations, and Future Prospects

Опубликована: Ноя. 16, 2023

<p>Within the vast expanse of computerized language processing, a revolutionary entity known as Large Language Models (LLMs) has emerged, wielding immense power in its capacity to comprehend intricate linguistic patterns and conjure coherent contextually fitting responses. models are type artificial intelligence (AI) that have emerged powerful tools for wide range tasks, including natural processing (NLP), machine translation, question-answering. This survey paper provides comprehensive overview LLMs, their history, architecture, training methods, applications, challenges. The begins by discussing fundamental concepts generative AI architecture pre- trained transformers (GPT). It then an history evolution over time, different methods been used train them. discusses applications medical, education, finance, engineering. also how LLMs shaping future they can be solve real-world problems. challenges associated with deploying scenarios, ethical considerations, model biases, interpretability, computational resource requirements. highlights techniques enhancing robustness controllability addressing bias, fairness, generation quality issues. Finally, concludes highlighting LLM research need addressed order make more reliable useful. is intended provide researchers, practitioners, enthusiasts understanding evolution, By consolidating state-of-the-art knowledge field, this serves valuable further advancements development utilization applications. GitHub repo project available at https://github.com/anas-zafar/LLM-Survey</p>

Язык: Английский

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What drives tourists’ continuance intention to use ChatGPT for travel services? A stimulus-organism-response perspective

Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 78, С. 103758 - 103758

Опубликована: Фев. 9, 2024

Язык: Английский

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ChatGPT in finance: Applications, challenges, and solutions

Heliyon, Год журнала: 2024, Номер 10(2), С. e24890 - e24890

Опубликована: Янв. 1, 2024

The emergence of ChatGPT, a generative artificial intelligence tool, has sparked revolution in the finance industry, enabling individuals to interact with technology natural language. However, use ChatGPT presents profound array ethical considerations that demand careful scrutiny ensure its responsible and use. After concise exploration ChatGPT's applications finance, this policy article delves into challenges arising from including outcomes contaminated biases, incorporation fake information financial decisions, concerns surrounding privacy security, lack transparency accountability decision-making processes services, human job displacement, intricate web legal complexities. Our asserts institutions employing must proactively devise strategies confront these burgeoning challenges, mitigating their adverse effects on both society as whole. Additionally, we propose relevant policies tackle quandaries head-on. In essence, illuminates imperative need for meticulous framework, facilitating an informed realm safeguarding welfare society. While our work significantly contributes research practice also identify future avenues.

Язык: Английский

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How to build a competitive advantage for your brand using generative AI

Business Horizons, Год журнала: 2024, Номер 67(5), С. 583 - 594

Опубликована: Май 20, 2024

Язык: Английский

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The Societal Impacts of Generative Artificial Intelligence: A Balanced Perspective

Journal of the Association for Information Systems, Год журнала: 2024, Номер 25(1), С. 13 - 22

Опубликована: Янв. 1, 2024

The discourse surrounding the societal impacts of generative artificial intelligence (GAI), exemplified by technologies like ChatGPT, often oscillates between extremes: utopian visions unprecedented productivity and dystopian fears humanity’s demise. This polarized perspective neglects nuanced, pragmatic manifestation GAI. In general, extreme views oversimplify technology itself or its potential to address issues. authors suggest a more balanced analysis, acknowledging that GAI’s will unfold dynamically over time as diverse implementations interact with human stakeholders contextual factors. While Big Tech firms dominate supply, demand is expected evolve through experimentation use cases. argue impact depends on identifiable contingencies, emphasizing three broad factors: balance automation augmentation, congruence physical digital realities, retention bounded rationality. These contingencies represent trade-offs arising from GAI instantiations, shaped technological advancements, stakeholder dynamics, factors, including responses regulations. Predicting long-term effects remains challenging due unforeseeable discontinuities in technology’s trajectory. anticipate continuous interplay initiatives, advances, learning experiences, responses, outcomes depending above contingencies.

Язык: Английский

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Generative AI in Education: Pedagogical, Theoretical, and Methodological Perspectives

International Journal of Technology in Education, Год журнала: 2024, Номер 7(3), С. 373 - 385

Опубликована: Май 30, 2024

Recently, ChatGPT, a cutting-edge large language model, has emerged as powerful Generative Artificial Intelligence (GenAI) tool with the capacity to influence education. ChatGPT provides ample opportunities for learners, researchers, educators, and practitioners achieve intended learning outcomes in various disciplines. This special issue examines diverse applications implications of GenAI tools including education, highlighting their potential enhance teaching across contexts. Key findings from seventeen studies collected this demonstrate that can significantly improve educational by providing personalized feedback, facilitating learning, supporting both qualitative quantitative research methodologies. The emphasize GenAI’s increase learner engagement motivation, yet also underscore need robust ethical guidelines human oversight due issues privacy, bias, accuracy. highlights challenges faces, such limitations contextual understanding its impact on critical thinking skills. In addition, it foundational framework exploring effective responsible integration, aiming enrich experiences. We conclude future should focus longitudinal effects outcomes, developing frameworks use, ensuring adaptability populations promote inclusive practices.

Язык: Английский

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Generative AI as a transformative force for innovation: a review of opportunities, applications and challenges

European Journal of Innovation Management, Год журнала: 2024, Номер unknown

Опубликована: Авг. 1, 2024

Purpose This study examines the existing literature on generative artificial intelligence (Gen AI) and its impact across many sectors. analysis explores potential, applications, challenges of Gen AI in driving innovation creativity generating ideas. Design/methodology/approach The adopts a comprehensive review approach, carefully assessing current scientific articles published from 2022 to 2024. trends insights derived research. Findings indicates that has significant potential augment human processes as collaborative partner. However, it is imperative prioritize responsible development ethical frameworks order effectively tackle biases, privacy concerns, other challenges. significantly transforming business models, processes, value propositions several industries, but with varying degrees effect. indicate also despite theory-driven approach investigating AI's creative innovative cutting-edge applications research prioritizes examining possibilities models. Research limitations/implications Although this offers picture great possibilities, concurrently underlines necessity for deep knowledge nuances fully harness capabilities. findings continuous exploration efforts are required address assure implementation. Therefore, more needed enhancing human-AI collaboration defining norms varied circumstances. Originality/value presents relevant transformational an catalyst. It emphasizes major issues integration.

Язык: Английский

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