算法管理视角下在线劳动平台收益形成机理研究

Research on Revenue Formation Mechanism of Online Labor Platform from The Perspective of Algorithmic Management

摘要:

本文从算法管理视角对在线劳动平台收益形成机理进行研究。通过深入分析人机交互的价值创造过程,探究了人力创造与智能算法创造的收益在价值形成空间中的变化情况。研究发现：(1)智能代理能通过算法逻辑协助人类完成任务,提高人机协作的岗位胜任程度,进而提高个人绩效表现；(2)随着岗位胜任程度提高,系统总收益不断增加,其中智能代理创造的单位收益越来越大；而人类劳动者的单位收益存在拐点,先上升后下降。(3)平台企业更有动机不断引入智能技术,利用交互数据来提高算法系统的岗位胜任水平,进而提高自身的收益占比。研究结论对在线劳动平台调整人机交互过程中智能代理的价值属性以及收益分配策略,从而构建竞争优势具有一定的参考意义。

Abstract:

This paper provides insight into the process of value creation by human-machine interaction in online labor platforms and analyzes the changes in the value formation space between human-created and machine or algorithm-created gains. It is found that (1) intelligent agents in online labor platforms can assist humans in making scientific decisions through algorithmic logic to improve the degree of job competence in human-machine collaboration, which in turn improves individual performance; (2) in the human-machine interaction gain space, the total system gain keeps increasing as the degree of job competence gets higher. The share of intelligent agents in the gain formation is increasing, while the gain of human workers rises and then falls; (3) platform enterprises are more motivated to continuously introduce digital technology and use interactive data to improve the job competency level of the algorithm system, thus increase their own income share. The findings of the study have some reference significance for platforms to build competitive advantages and adjust the value attributes of intelligent agents in the process of human-computer interaction as well as the gain distribution strategy.