人工智能与项目管理:关于项目经理使用生成式聊天机器人的实证调查

IF 15.6 1区 管理学 Q1 BUSINESS
Alberto Michele Felicetti , Antonio Cimino , Alberto Mazzoleni , Salvatore Ammirato
{"title":"人工智能与项目管理:关于项目经理使用生成式聊天机器人的实证调查","authors":"Alberto Michele Felicetti ,&nbsp;Antonio Cimino ,&nbsp;Alberto Mazzoleni ,&nbsp;Salvatore Ammirato","doi":"10.1016/j.jik.2024.100545","DOIUrl":null,"url":null,"abstract":"<div><p>The integration of generative AI tools, such as chatbots, into project management is revolutionizing the field. This paper explores how project managers are adopting and adapting these tools, specifically focusing on ChatGPT, for enhanced project management. Using Adaptive Structuration Theory, the study examines project managers' appropriation of generative AI. It considers factors like Innovation Attitude, Peer Influence, and Task-Technology Fit, employing a survey of Italian project managers. The approach adopted to analyze data is based on Partial Least Square - Structural Equation Modeling. The research confirms the significance of the hypothesized antecedents in AI tool appropriation. Innovation Attitude and Peer Influence are shown to positively impact the creative and 'unfaithful' use of AI in project management. Task-Technology Fit is crucial for effective AI integration, impacting both creative behaviour and unfaithful appropriation. The study highlights the role of an innovative mindset, peer dynamics, and task compatibility in the effective use of AI tools in project management. It suggests potential areas for future research, including exploring cultural and organizational contexts and the rapid evolution of AI technologies.</p></div>","PeriodicalId":46792,"journal":{"name":"Journal of Innovation & Knowledge","volume":null,"pages":null},"PeriodicalIF":15.6000,"publicationDate":"2024-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.sciencedirect.com/science/article/pii/S2444569X24000842/pdfft?md5=117a9da2d7b703f3a1b1b6a06b0c53ca&pid=1-s2.0-S2444569X24000842-main.pdf","citationCount":"0","resultStr":"{\"title\":\"Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers\",\"authors\":\"Alberto Michele Felicetti ,&nbsp;Antonio Cimino ,&nbsp;Alberto Mazzoleni ,&nbsp;Salvatore Ammirato\",\"doi\":\"10.1016/j.jik.2024.100545\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>The integration of generative AI tools, such as chatbots, into project management is revolutionizing the field. This paper explores how project managers are adopting and adapting these tools, specifically focusing on ChatGPT, for enhanced project management. Using Adaptive Structuration Theory, the study examines project managers' appropriation of generative AI. It considers factors like Innovation Attitude, Peer Influence, and Task-Technology Fit, employing a survey of Italian project managers. The approach adopted to analyze data is based on Partial Least Square - Structural Equation Modeling. The research confirms the significance of the hypothesized antecedents in AI tool appropriation. Innovation Attitude and Peer Influence are shown to positively impact the creative and 'unfaithful' use of AI in project management. Task-Technology Fit is crucial for effective AI integration, impacting both creative behaviour and unfaithful appropriation. The study highlights the role of an innovative mindset, peer dynamics, and task compatibility in the effective use of AI tools in project management. It suggests potential areas for future research, including exploring cultural and organizational contexts and the rapid evolution of AI technologies.</p></div>\",\"PeriodicalId\":46792,\"journal\":{\"name\":\"Journal of Innovation & Knowledge\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":15.6000,\"publicationDate\":\"2024-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.sciencedirect.com/science/article/pii/S2444569X24000842/pdfft?md5=117a9da2d7b703f3a1b1b6a06b0c53ca&pid=1-s2.0-S2444569X24000842-main.pdf\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Innovation & Knowledge\",\"FirstCategoryId\":\"91\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2444569X24000842\",\"RegionNum\":1,\"RegionCategory\":\"管理学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"BUSINESS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Innovation & Knowledge","FirstCategoryId":"91","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2444569X24000842","RegionNum":1,"RegionCategory":"管理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"BUSINESS","Score":null,"Total":0}
引用次数: 0

摘要

将生成式人工智能工具(如聊天机器人)整合到项目管理中,正在彻底改变这一领域。本文探讨了项目经理是如何采用和调整这些工具(特别关注 ChatGPT)以加强项目管理的。本研究采用适应性结构化理论(Adaptive Structuration Theory),考察了项目经理对生成式人工智能的使用情况。研究考虑了创新态度、同伴影响和任务-技术契合度等因素,并对意大利项目经理进行了调查。采用的数据分析方法基于偏最小二乘法--结构方程模型。研究证实了假设的前因在人工智能工具应用中的重要性。研究表明,创新态度和同伴影响对在项目管理中创造性地和 "不忠实 "地使用人工智能有积极影响。任务与技术的契合对于有效整合人工智能至关重要,对创造性行为和不忠实使用都有影响。这项研究强调了创新思维、同伴动态和任务兼容性在项目管理中有效使用人工智能工具中的作用。研究提出了未来研究的潜在领域,包括探索文化和组织背景以及人工智能技术的快速发展。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Artificial intelligence and project management: An empirical investigation on the appropriation of generative Chatbots by project managers

The integration of generative AI tools, such as chatbots, into project management is revolutionizing the field. This paper explores how project managers are adopting and adapting these tools, specifically focusing on ChatGPT, for enhanced project management. Using Adaptive Structuration Theory, the study examines project managers' appropriation of generative AI. It considers factors like Innovation Attitude, Peer Influence, and Task-Technology Fit, employing a survey of Italian project managers. The approach adopted to analyze data is based on Partial Least Square - Structural Equation Modeling. The research confirms the significance of the hypothesized antecedents in AI tool appropriation. Innovation Attitude and Peer Influence are shown to positively impact the creative and 'unfaithful' use of AI in project management. Task-Technology Fit is crucial for effective AI integration, impacting both creative behaviour and unfaithful appropriation. The study highlights the role of an innovative mindset, peer dynamics, and task compatibility in the effective use of AI tools in project management. It suggests potential areas for future research, including exploring cultural and organizational contexts and the rapid evolution of AI technologies.

求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
CiteScore
16.10
自引率
12.70%
发文量
118
审稿时长
37 days
期刊介绍: The Journal of Innovation and Knowledge (JIK) explores how innovation drives knowledge creation and vice versa, emphasizing that not all innovation leads to knowledge, but enduring innovation across diverse fields fosters theory and knowledge. JIK invites papers on innovations enhancing or generating knowledge, covering innovation processes, structures, outcomes, and behaviors at various levels. Articles in JIK examine knowledge-related changes promoting innovation for societal best practices. JIK serves as a platform for high-quality studies undergoing double-blind peer review, ensuring global dissemination to scholars, practitioners, and policymakers who recognize innovation and knowledge as economic drivers. It publishes theoretical articles, empirical studies, case studies, reviews, and other content, addressing current trends and emerging topics in innovation and knowledge. The journal welcomes suggestions for special issues and encourages articles to showcase contextual differences and lessons for a broad audience. In essence, JIK is an interdisciplinary journal dedicated to advancing theoretical and practical innovations and knowledge across multiple fields, including Economics, Business and Management, Engineering, Science, and Education.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信