Laura Bies, Sophie Schmidt, Stefan Morana, Dirk Werth
{"title":"未来办公室:生成式人工智能技术的接受和利用比较研究","authors":"Laura Bies, Sophie Schmidt, Stefan Morana, Dirk Werth","doi":"10.1109/ACDSA59508.2024.10467651","DOIUrl":null,"url":null,"abstract":"As Generative AI technologies continue to evolve, understanding their impact and potential for integration across various sectors becomes increasingly important. This paper explores the acceptance and utilization of Generative AI in diverse industries through the 'Knowledge Behavior Gap Model'. Analyzing survey data from Germany via Structural Equation Modeling, it uncovers the significant impact of knowledge and acceptance on the behavioral adoption of these technologies. This research contributes to understanding how knowledge dissemination and acceptance are crucial for integrating innovative technologies like Generative AI in organizations. It fills a gap in existing literature and offers practical implications for organizations seeking to harness Generative AI for improved efficiency and innovation. This study stands out for its novel approach in linking knowledge, acceptance, and usage of Generative AI, highlighting its significance in the strategic technology adoption landscape.","PeriodicalId":518964,"journal":{"name":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","volume":"46 21","pages":"1-6"},"PeriodicalIF":0.0000,"publicationDate":"2024-02-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Future Office: A Comparative Study on the Acceptance and Utilization of Generative AI Technologies\",\"authors\":\"Laura Bies, Sophie Schmidt, Stefan Morana, Dirk Werth\",\"doi\":\"10.1109/ACDSA59508.2024.10467651\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"As Generative AI technologies continue to evolve, understanding their impact and potential for integration across various sectors becomes increasingly important. This paper explores the acceptance and utilization of Generative AI in diverse industries through the 'Knowledge Behavior Gap Model'. Analyzing survey data from Germany via Structural Equation Modeling, it uncovers the significant impact of knowledge and acceptance on the behavioral adoption of these technologies. This research contributes to understanding how knowledge dissemination and acceptance are crucial for integrating innovative technologies like Generative AI in organizations. It fills a gap in existing literature and offers practical implications for organizations seeking to harness Generative AI for improved efficiency and innovation. This study stands out for its novel approach in linking knowledge, acceptance, and usage of Generative AI, highlighting its significance in the strategic technology adoption landscape.\",\"PeriodicalId\":518964,\"journal\":{\"name\":\"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)\",\"volume\":\"46 21\",\"pages\":\"1-6\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-02-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ACDSA59508.2024.10467651\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2024 International Conference on Artificial Intelligence, Computer, Data Sciences and Applications (ACDSA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ACDSA59508.2024.10467651","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Future Office: A Comparative Study on the Acceptance and Utilization of Generative AI Technologies
As Generative AI technologies continue to evolve, understanding their impact and potential for integration across various sectors becomes increasingly important. This paper explores the acceptance and utilization of Generative AI in diverse industries through the 'Knowledge Behavior Gap Model'. Analyzing survey data from Germany via Structural Equation Modeling, it uncovers the significant impact of knowledge and acceptance on the behavioral adoption of these technologies. This research contributes to understanding how knowledge dissemination and acceptance are crucial for integrating innovative technologies like Generative AI in organizations. It fills a gap in existing literature and offers practical implications for organizations seeking to harness Generative AI for improved efficiency and innovation. This study stands out for its novel approach in linking knowledge, acceptance, and usage of Generative AI, highlighting its significance in the strategic technology adoption landscape.