Cogent Business & Management, Год журнала: 2025, Номер 12(1)
Опубликована: Фев. 27, 2025
Язык: Английский
SSRN Electronic Journal, Год журнала: 2023, Номер unknown
Опубликована: Янв. 1, 2023
The incorporation of ChatGPT and other Large Language Models (LLMs) has transformed the landscape Business Management across various sectors. This research delves into multifaceted roles these advanced AI technologies play in optimizing different aspects business management. facilitates smooth communication, automates customer support, generates leads, offers personalized experiences, enhancing relationship management from relations to market analysis. Additionally, financial analysis forecasting, LLMs assist businesses interpreting data, enabling data-driven decision-making precise planning. study explores challenges faced by when integrating areas Ethical concerns, such as data privacy algorithmic biases, necessitate careful consideration, urging maintain transparency fairness their AI-driven interactions. Moreover, human resource management, aid talent acquisition, employee training, performance analysis, revolutionizing HR processes. Furthermore, investigates transformative potential similar fostering innovation creativity within By automating routine tasks supply chain logistics, employees can concentrate on strategic planning innovation, thereby operational efficiency competitiveness. highlights significant impact diverse fields While emphasizing benefits, it underscores importance for navigate challenges, promote ethical practices, empower workforce fully utilize an ever-evolving landscape.
Язык: Английский
Процитировано
50
Опубликована: Окт. 17, 2023
The emergence of generative artificial intelligence (AI), exemplified by ChatGPT, has fundamentally transformed numerous sectors amplifying operational efficiency, output, and customer satisfaction. However, effectively integrating such sophisticated AI systems, especially in manufacturing, finance, retail, transportation, construction, demands concerted efforts from cross-functional teams. This investigation delves into the indispensable role played these teams ensuring seamless integration ChatGPT akin technologies across diverse fields. In research underscores vital significance collaboration between specialists, industrial engineers, production managers to optimize manufacturing processes, preemptive maintenance, quality assurance. finance sector, study highlights essential synergy data scientists, regulatory experts, financial analysts harness ChatGPT's complete potential automating tasks, detecting fraud, providing personalized interactions. For retail industry, this accentuates necessity collaborative marketing strategists, user experience designers, developers utilizing for targeted campaigns, virtual shopping assistants, instantaneous support. It explores how can facilitate assimilation boost engagement, inventory management, predict consumer trends, thereby propelling business growth competitive advantage. transportation imperative planners, software developers, experts leveraging efficient route planning, predictive vehicle real-time logistics oversight. construction importance cohesive among architects, civil programmers project design enhancement, risk mitigation. By promoting collaboration, effective communication, cross-domain expertise, are instrumental harnessing transformative AI, industries toward a more efficient, sustainable, technologically advanced future.
Язык: Английский
Процитировано
47
Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103867 - 103867
Опубликована: Апрель 22, 2024
Язык: Английский
Процитировано
33
International Journal of Educational Technology in Higher Education, Год журнала: 2024, Номер 21(1)
Опубликована: Июль 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.
Язык: Английский
Процитировано
24
Humanities and Social Sciences Communications, Год журнала: 2024, Номер 11(1)
Опубликована: Янв. 15, 2024
Abstract While the rise of artificial intelligence (AI) tools holds promise for delivering benefits, it is important to acknowledge associated risks their deployment. In this article, we conduct a focused literature review address two central research inquiries concerning ChatGPT and similar AI tools. Firstly, examine potential pitfalls linked with development implementation across individual, organizational, societal levels. Secondly, explore role multi-stakeholder responsible innovation framework in guiding chatbots’ sustainable utilization. Drawing inspiration from stakeholder theory principles, underscore necessity comprehensive ethical guidelines navigate design, inception, utilization emerging innovations. The findings shed light on perils various levels, including issues such as devaluation relationships, unemployment, privacy concerns, bias, misinformation, digital inequities. Furthermore, proposed Responsible Research Innovation can empower stakeholders proactively anticipate deliberate upon AI’s ethical, social, environmental implications, thus substantially contributing pursuit implementation.
Язык: Английский
Процитировано
20
International Journal of Educational Technology in Higher Education, Год журнала: 2025, Номер 22(1)
Опубликована: Фев. 2, 2025
Abstract Generative Artificial Intelligence (GenAI) tools hold significant promises for enhancing teaching and learning outcomes in higher education. However, continues usage behavior satisfaction of educators with GenAI systems are still less explored. Therefore, this study aims to identify factors influencing academic staff continuous education, employing a survey method analyzing data using Partial Least Squares Structural Equation Modeling (PLS-SEM). This research utilized the Unified Theory Acceptance Use Technology (UTAUT) Expectation Confirmation Model (ECM) as its theoretical foundations, while also integrating ethical concerns factor. Data was collected from sample 127 university through an online questionnaire. The found positive correlation between effort expectancy, consideration, expectation confirmation, satisfaction. performance expectancy did not show Performance positively related intention use tools, influenced GenAI. social influence correlate Security privacy were associated Facilitation conditions findings provide valuable insights academia policymakers, guiding responsible integration education emphasizing policy considerations developers tools.
Язык: Английский
Процитировано
2
Business Horizons, Год журнала: 2024, Номер 67(5), С. 487 - 498
Опубликована: Март 21, 2024
Язык: Английский
Процитировано
13
Journal of Retailing and Consumer Services, Год журнала: 2024, Номер 79, С. 103859 - 103859
Опубликована: Апрель 24, 2024
Язык: Английский
Процитировано
12
Information Technology and People, Год журнала: 2024, Номер unknown
Опубликована: Май 17, 2024
Purpose Limited knowledge exists regarding the adverse effects of artificial intelligence adoption, including platforms like ChatGPT, on users’ mental well-being. The current research seeks to adopt insight from stressor-strain-outcome paradigm and a moderated mediation model examine how technology anxiety moderates direct indirect relationships between compulsive use technostress, life satisfaction. Design/methodology/approach Drawing data sample 2,602 ChatGPT users in Vietnam, PROCESS macro was approached test model. Findings findings indicate that exhibited substantial positive impact while technostress found have negative influence Moreover, although did not show significant effect, it indirectly impacts satisfaction via technostress. Remarkably, significantly moderate both associations Practical implications Based this research, some practical are provided. Originality/value offers fresh perspective by applying provide empirical evidence relationship thus sheds new light adoption its health.
Язык: Английский
Процитировано
12
European Management Journal, Год журнала: 2025, Номер unknown
Опубликована: Янв. 1, 2025
Язык: Английский
Процитировано
1