Abstract

Innovative and highly efficient Artificial Intelligence System Automation (AI-SA) is reshaping jobs and the nature of work throughout supply chain and operations management. It can have one of three effects on existing jobs: no effect, eliminate whole jobs, or eliminate those parts of a job that are automated. This paper focuses on the jobs that remain after the effects of AI-SA, albeit with alterations. We use the term Gigification to describe these jobs, as we posit that the jobs that remain share characteristics of gig work. Our study examines the relationship between Gigification, job engagement and job satisfaction. We develop a theoretical framework to examine the impact of system automation on job satisfaction and job engagement, which we test via 232 survey responses. Our findings show that, while Gigification increases job satisfaction and engagement, AI-SA weakens the positive impact of Gigification on these important worker outcomes. We posit that, over time, the effects of AI-SA on workers is that full-time, permanent jobs will give way to gigified jobs. For future research, we suggest further theory development and testing of the Gigification of operations and supply chain work.

摘要

创新且高效的人工智能系统自动化 (AI-SA) 正在重塑整个供应链和运营管理中的工作和工作性质。它可以对现有工作产生三种影响之一：没有影响，消除整个工作，或消除自动化工作的那些部分。本文重点关注在 AI-SA 影响后仍然存在的工作，尽管有一些变化。我们使用 Gigification 一词来描述这些工作，因为我们假设仍然存在的工作具有 gig 工作的特征。我们的研究考察了 Gigification、工作投入和工作满意度之间的关系。我们开发了一个理论框架来检验系统自动化对工作满意度和工作投入的影响，我们通过 232 份调查回复对其进行了测试。我们的研究结果表明，虽然 Gigification 提高了工作满意度和参与度，但 AI-SA 削弱了 Gigification 对这些重要员工成果的积极影响。我们假设，随着时间的推移，AI-SA 对工人的影响是全职、永久性工作将让位于虚拟工作。对于未来的研究，我们建议对运营和供应链工作的 Gigification 进行进一步的理论开发和测试。