جستجوی مقالات مرتبط با کلیدواژه "la rge language models" در نشریات گروه "مدیریت"

The proliferation of generative artificial intelligence, from healthcare to finance, underscores its transformative potential in addressing real-world challenges. The generative AI model is trained to act almost like a human. The conversational format allows the AI to answer follow-up questions, admit mistakes, challenge false premises, and reject inappropriate requests. Also, generative artificial intelligence provides huge opportunities for organizations that use this advanced technology strategically. Therefore, the current research was conducted with the aim of identifying the antecedents and consequences of the productive artificial intelligence tool using the fuzzy FCM method. The statistical population of the research is the experts in the field of information technology and artificial intelligence, among whom 10 people were selected as sample members using the purposeful sampling method and based on the principle of theoretical saturation. The tool for collecting information is an interview in the qualitative part and a questionnaire in the quantitative part. In this research, the content analysis method and coding with Atlas software were used to analyze the data in the qualitative part, and the content method and theoretical validity and intra-coder inter-coder reliability were used to check the validity and reliability of the data collection tool in the qualitative part. Its reliability was confirmed with a coefficient of 0.84. Also, the validity and reliability of the data collection tool in the quantitative part, content validity and retest reliability showed the confirmation of the reliability of the questionnaires. Also, the validity and reliability of the research questionnaire was measured by content and retest validity. The findings of the research show that the most important antecedent factors for the development of productive artificial intelligence are keeping pace with the fundamental changes in technology, the possibility of correcting organizational gaps, and facilitating the learning of employees. Also, the most important consequences of the formation of productive artificial intelligence are speeding up the implementation of processes, increasing efficiency and productivity, and the risk of privacy violations.