利用数字基础和人工智能协同效应:揭示数字平台、人工智能和战略适应性在组织创新中的作用

IF 15.6 1区 管理学 Q1 BUSINESS
Yi Lin , Zahid Yousaf , Adriana Grigorescu , Norina Popovici
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引用次数: 0

摘要

本研究调查了数字平台、人工智能(AI)采用和组织创新之间的关系,提出电子知识和大数据分析能力是中介,战略灵活性是调节因子。该研究认为,数字平台显著促进了电子知识的发展,人工智能的采用与增强大数据分析能力密切相关。此外,研究还考察了电子知识对组织创新性的直接影响,以及大数据分析能力在塑造组织创新性方面的关键作用;电子知识在数字平台与组织创新之间的中介作用,以及大数据分析在人工智能采用与组织创新之间的中介作用;战略灵活性在加强数字平台与组织创新之间的联系及其对人工智能采用与大数据分析能力之间关系的影响方面的作用。为收集资料,我们向各教育机构的受访者派发了一份载有550项的问卷。采用结构方程建模方法对收集到的数据进行分析。通过解决这些问题,该研究为理解数字平台和人工智能的采用如何通过战略数据管理和信息分析能力推动组织创新提供了一个全面的模型。研究结果为寻求在数字环境中增强组织创造力的专家和从业者提供了重要的见解和可行的建议。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Harnessing digital foundations and artificial intelligence synergies: Unraveling the role of digital platforms, artificial intelligence, and strategic adaptability in organizational innovativeness
This research investigated the relationships between digital platforms, artificial intelligence (AI) adoption, and organizational innovativeness, presenting e-knowledge and big data analytics capability as mediators and strategic flexibility as a moderator. The study posited that digital platforms significantly foster the development of e-knowledge and that AI adoption is closely associated with enhancing big data analytics capability. Additionally, it examined the direct effects of e-knowledge on organizational innovativeness and the pivotal role of big data analytics capability in shaping organizational innovativeness; the mediating effects of e-knowledge on the relationship between digital platforms and organizational innovativeness as well as the mediating role of big data analytics in the association between AI adoption and organizational innovativeness; and strategic flexibility role in strengthening the connection between digital platforms and organizational innovativeness and its influence on the relationship between AI adoption and big data analytics capability. To collect data, a questionnaire comprising 550 items was distributed to respondents from educational institutions. A structural equation modeling approach was employed to analyze the collected data. By addressing these constructs, the study provided a comprehensive model for understanding how digital platforms and AI adoption can drive organizational innovativeness through strategic data management and information analytics capabilities. The findings offer significant insights and actionable recommendations for experts and practitioners seeking to enhance organizational creativity within the digital landscape.
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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.
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