同行生产系统中质量问题的及时解决:机器人、政策引用和贡献者经验的影响

IF 5 3区 管理学 Q1 INFORMATION SCIENCE & LIBRARY SCIENCE Information Systems Research Pub Date : 2024-09-09 DOI:10.1287/isre.2020.0485
Vitali Mindel, Aleksi Aaltonen, Arun Rai, Lars Mathiassen, Wael Jabr
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引用次数: 0

摘要

在线同侪生产系统通过让人们自由地在彼此的工作基础上参与生产共同的产品(如开放式百科全书)来创造价值。及时解决同行生产中的质量问题至关重要,因为数百万人依靠同行生产的内容进行学习和决策。低质量内容存在的时间越长,就越会损害同行生产系统的声誉,削弱该系统维持其贡献者基础的能力。我们研究了维基百科中影响质量问题解决及时性的不同机制,发现质量问题的快速解决取决于软件机器人(bots)的成功整合,以及根据贡献者的不同经验水平对政策引用进行仔细校准。企业生产中的大多数控制机制并不适用于同行生产,相反,同行生产中的质量控制必须充分利用不同贡献者的优势,并利用技术支持和适应性政策框架的益处,以提高生产率并实现高质量的成果。
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Timely Quality Problem Resolution in Peer-Production Systems: The Impact of Bots, Policy Citations, and Contributor Experience
Online peer-production systems create value by enabling people to participate in the production of a common good such as an open encyclopedia by building freely on each other’s work. Fixing quality problems in peer production in a timely manner is critical because millions of people rely on peer-produced content for learning and decision making. The longer low-quality content remains in place, the more it can harm the reputation of a peer-production system and diminish the capability of the system to maintain its contributor base. We study different mechanism affecting the timeliness of quality problem resolution in Wikipedia and find that the speedy resolution of quality problems depends on the successful integration of software robots (bots) and the careful calibration of policy citations to the different levels of experience among contributors. Most control mechanisms found in firm-based production do not apply to peer production, and instead, quality control in peer production must leverage the strengths of different contributors and harness the benefits of technological support and adaptive policy frameworks to improve productivity and achieve high-quality outcomes.
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来源期刊
CiteScore
9.10
自引率
8.20%
发文量
120
期刊介绍: ISR (Information Systems Research) is a journal of INFORMS, the Institute for Operations Research and the Management Sciences. Information Systems Research is a leading international journal of theory, research, and intellectual development, focused on information systems in organizations, institutions, the economy, and society.
期刊最新文献
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