为分散的自治组织工作:关于分散的数字劳动力,经验劳动经济学能告诉我们什么

IF 1.4 Q3 ECONOMICS
N. Ilyushina
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引用次数: 0

摘要

去中心化自治组织(DAO)是一种新型的数字原生组织,其成员基础在整个2022年都在快速增长。新的组织结构也会导致劳动力的组织、雇佣、需求和供应的新方式。但在人力资本积累和员工决策方面存在一定差异。这些问题属于劳动经济学的范畴。现有的劳动经济学理论是在传统的劳动力市场数据上进行检验的。然而,DAO工作不同于传统的后工业劳动力市场的雇主-雇员关系。它可以被描述为所有权、志愿服务、自由职业和传统就业的混合体,不同的人有不同的比例。这些差异是否会改变DAOs劳动力市场的运作方式还有待研究。为了理解这一点,我们需要更多关于DAO工人的信息,特别是需要收集的劳动力和社会经济调查数据。本文确定了对DAO工人进行大规模调查的必要性,讨论了DAO特定数据收集的动机和挑战,以及DAO在不久的将来可能面临的依赖于经验数据的一些重要的劳动经济政策问题。其次,本文批判性地回顾和总结了现有的DAO参数工作的小规模数据。最后,本文概述了经验数据收集的问题,以及为什么应该修改当前的方法来收集和分析DAO工作的经济数据。总体而言,本文旨在确定DAO劳动力应用劳动经济分析的前进方向。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Work for Decentralised Autonomous Organisation: What Empirical Labour Economics Can Tell Us about the Decentralised Digital Workforce
A decentralised autonomous organisation (DAO) is a new type of digitally native organisation with a membership base that has been rapidly growing throughout 2022. A new organisational structure also leads to a new way labour is organised, hired, demanded and supplied. There are, however, some differences in human capital accumulation and employee decision-making. These issues fall in the domain of labour economics. Existing theories of labour economics are tested on conventional labour market data. However, DAO work differs from the traditional post-industrial labour market employer-employee relationship. It can be described as a hybrid of ownership, volunteering, freelancing and traditional employment in different proportions for different people. Whether those differences change how the labour market operates in DAOs needs to be examined. To understand this, we need more information on DAO workers, specifically labour and socio-economic survey data, which needs to be collected. This paper identifies the need for a large-scale survey of DAO workers, discusses the motivation and challenges of data collection specific to DAOs and some important labour economic policy questions that DAOs might face in the near future that rely on empirical data. Next, the paper critically reviews and summarises the existing small-scale data on work for DAO parameters. Lastly, the article outlines issues with empirical data collection and why current methods should be modified to gather and analyse economic data on DAO work. Overall, the paper aims to determine the way ahead for the applied labour economic analysis of DAO labour.
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