Understanding the fundamental economics of AI

B. Leavy
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Abstract

Purpose This study aims to propose a conceptual framework describing the relationship between enablers of knowledge sharing (KS) and organizational sustainability. Design/Methodology/Approach An in-depth literature review based on PRISMA flowchart was conducted to identify the enablers of KS. The study develops a conceptual framework by assimilating enablers of KS on three levels: individual, technical, and organizational, to attain organizational sustainability. Findings Enablers of KS are beneficial for organizations to enable problem-solving, better and faster decision making, stimulating creativity and innovation, improved customers’ services, and leveraging employees? talent. Research/Limitations/Implications Within organizational structure, KS can be fostered by a culture that encourages employees to generate novel and creative ideas. Originality/Value The model of KS presented in this study is applicable to organizations in more complex and uncertain contexts, e.g., the post-pandemic era to retain and sustain talented employees.
理解人工智能的基本经济学
目的本研究旨在提出一个概念性框架来描述知识共享推动者与组织可持续性之间的关系。设计/方法/方法基于PRISMA流程图进行了深入的文献综述,以确定KS的促成因素。本研究通过在个人、技术和组织三个层面上吸收KS的推动因素,建立了一个概念性框架,以实现组织的可持续性。发现KS的功能有利于组织解决问题,更好更快地做出决策,激发创造力和创新,改善客户服务,并利用员工?人才。研究/限制/启示在组织结构中,鼓励员工产生新颖和创造性想法的文化可以培养KS。本研究中提出的KS模型适用于更复杂和不确定背景下的组织,例如,大流行后时代,以保留和维持有才华的员工。
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