Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Business Management

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

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Multidisciplinary collaboration: key players in successful implementation of ChatGPT and similar generative artificial intelligence in manufacturing, finance, retail, transportation, and construction industry

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

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Revolutionizing generative pre-traineds: Insights and challenges in deploying ChatGPT and generative chatbots for FAQs

Expert Systems with Applications, Год журнала: 2024, Номер 246, С. 123224 - 123224

Опубликована: Янв. 19, 2024

Язык: Английский

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A comprehensive review of large language models: issues and solutions in learning environments

Discover Sustainability, Год журнала: 2025, Номер 6(1)

Опубликована: Янв. 14, 2025

A significant advancement in artificial intelligence is the development of large language models (LLMs). Despite opposition and explicit bans by some authorities, LLMs continue to play a transformative role, particularly education, improving understanding generation capabilities. This study explores LLMs' types, history, training processes, alongside their application including digital higher education settings. novel theoretical framework proposed guide integration into addressing key challenges such as personalization, ethical concerns, adaptability. Furthermore, presents practical case studies solutions barriers, data privacy bias, offering insights role enhancing teaching–learning process. By providing systematic analysis proposing structured framework, this advances current knowledge highlights potential revolutionizing education.

Язык: Английский

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The Role of Adhocratic Leadership in Facing the Changing Business Environment

Journal of Contemporary Administration and Management (ADMAN), Год журнала: 2023, Номер 1(2), С. 77 - 83

Опубликована: Авг. 13, 2023

Changes in today's business environment are increasingly complex and cannot be predicted with certainty. Factors such as technological developments, market dynamics, regulatory changes challenges that organisations companies must face. In the face of these rapid changes, adaptive flexible leadership becomes critical to ensure success continuity. This research aims analyse role adhocratic dealing changing environment. The current type is qualitative. Data collection techniques include listening recording important information conduct data analysis through reduction, display, conclusion drawing. study results show plays an dynamic approach emphasises flexibility, innovation, adaptation, collaboration respond customer needs. Adhocracy leaders risk-takers, make smart use technology data, create organisational culture supports innovation continuous learning.

Язык: Английский

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Ethical Use of ChatGPT in the Context of Leadership and Strategic Decisions

Jurnal Minfo Polgan, Год журнала: 2023, Номер 12(1), С. 1239 - 1246

Опубликована: Июль 15, 2023

The development of AI has had a significant impact on various aspects human life, including in the fields communication and decision-making. One popular example is ChatGPT, generative language model designed to interact generate human-like text. While ChatGPT provides great potential facilitating decision-making, its presence also poses ethical challenges that need be considered. This research aims explore issues arise use context leadership formulate an framework can guide responsible beneficial practice using ChatGPT. current type qualitative. Data collection techniques include listening recording important information conduct data analysis through reduction, display, conclusion drawing. study results show strategic decision-making involves complex considerations related transparency, fairness, privacy, long-term considerations, risk management. provide benefits, it addressed.

Язык: Английский

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Role and Challenges of ChatGPT and Similar Generative Artificial Intelligence in Human Resource Management

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The integration of generative artificial intelligence (AI) systems, such as ChatGPT, into Human Resource Management (HRM) has marked the beginning a groundbreaking era in innovative workforce management and employee engagement. This research investigates pivotal role played by ChatGPT analogous AI technologies HRM, underscoring their significance realms recruitment, training, organizational communication. Leveraging natural language processing abilities, these systems streamline recruitment process, ensuring unbiased candidate selection enhancing overall efficiency HR departments. Moreover, training development initiatives, facilitates tailored learning experiences, adjusting content to meet individual needs, thereby fostering skill enhancement professional growth. Nevertheless, widespread adoption HRM is not without its challenges. Ethical concerns, data privacy algorithmic bias, necessitate thorough examination prevent discriminatory practices guarantee equitable treatment employees. Additionally, requirement for continuous monitoring refinement algorithms align with evolving cultures goals presents significant hurdle. striking harmonious balance between AI-driven automation human intervention imperative preserve touch processes, safeguarding empathetic intuitive elements that are essential effective management. delves complex dynamics, shedding light on transformative potential akin while also emphasizing need vigilance strategic planning address associated Through an exhaustive analysis real-world case studies ethical frameworks, this study offers valuable insights professionals, policymakers, researchers endeavoring navigate intricate landscape AI-powered HRM.

Язык: Английский

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Integrating Building Information Modelling (BIM) with ChatGPT, Bard, and similar generative artificial intelligence in the architecture, engineering, and construction industry: applications, a novel framework, challenges, and future scope

SSRN Electronic Journal, Год журнала: 2023, Номер unknown

Опубликована: Янв. 1, 2023

The architecture, engineering, and construction (AEC) sector is currently experiencing a profound shift in its paradigm through the incorporation of Building Information Modelling (BIM) advanced generative artificial intelligence (AI) technologies. This study delves into diverse applications this transformative integration, presenting pioneering framework for merging BIM with models like ChatGPT Bard. integrated approach outlined research paper has broad implications. Initially, it explores augmentation design process, where AI enhances creative input architects engineers by generating innovative alternatives rooted data. BIM's collaborative ethos extended natural language interfaces from ChatGPT, fostering seamless communication idea exchange among project stakeholders. In phase, integration streamlines real-time decision-making on-site personnel, providing AI-generated insights based on ensures heightened efficiency, cost-effectiveness, risk management. synergy between also harnessed simulation analysis, enabling predictions related to structural performance, energy environmental impact. introduces an seamlessly AI, prioritizing interoperability, data consistency, user-friendly interfaces. Designed adapt dynamic nature AEC projects, promotes continuous collaboration information exchange. It establishes standardized platform harnessing strengths both technologies, ensuring cohesive efficient workflow across lifecycle. Nevertheless, brings forth challenges, including security, ethical considerations, demand extensive computational resources. provides foundational upcoming studies industry practices, paving way more intelligent, collaborative, ecosystem.

Язык: Английский

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Sentiment analysis methods, applications, and challenges: A systematic literature review

Journal of King Saud University - Computer and Information Sciences, Год журнала: 2024, Номер 36(4), С. 102048 - 102048

Опубликована: Апрель 1, 2024

Язык: Английский

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ChatGPT: perspectives from human–computer interaction and psychology

Frontiers in Artificial Intelligence, Год журнала: 2024, Номер 7

Опубликована: Июнь 18, 2024

The release of GPT-4 has garnered widespread attention across various fields, signaling the impending adoption and application Large Language Models (LLMs). However, previous research predominantly focused on technical principles ChatGPT its social impact, overlooking effects human–computer interaction user psychology. This paper explores multifaceted impacts interaction, psychology, society through a literature review. author investigates ChatGPT’s foundation, including Transformer architecture RLHF (Reinforcement Learning from Human Feedback) process, enabling it to generate human-like responses. In terms studies significant improvements GPT models bring conversational interfaces. analysis extends psychological impacts, weighing potential mimic human empathy support learning against risks reduced interpersonal connections. commercial domains, discusses applications in customer service services, highlighting efficiency challenges such as privacy issues. Finally, offers predictions recommendations for future development directions impact relationships.

Язык: Английский

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