Can you see opportunity knocking? An examination of technology-based political skill on opportunity recognition in online communities for MTurk workers

独创性 杠杆(统计) 政治 适度 公共关系 在线参与 在线社区 知识管理 价值(数学) 营销 心理学 社会心理学 业务 政治学 互联网 计算机科学 创造力 万维网 机器学习 法学
作者
Paul M. Di Gangi,Charn P. McAllister,Jack L. Howard,Jason Bennett Thatcher,Gerald R. Ferris
出处
期刊:Internet Research [Emerald Publishing Limited]
卷期号:32 (4): 1041-1075 被引量:6
标识
DOI:10.1108/intr-03-2021-0175
摘要

Purpose Political skill has emerged as a concept of interest within the information systems literature to explain individual performance outcomes. The purpose of this paper is to adapt political skill to technology-mediated contexts. Specifically, the authors seek to understand political skill's role in shaping microtask workers' opportunity recognition when utilizing online communities in microtask work environments. Design/methodology/approach The authors tested their research model using a survey of 348 Amazon Mechanical Turk (MTurk) workers who participate in microtask-related online communities. MTurk is a large, popular microtasking platform used by thousands of microtask workers daily, with several online communities supporting microtask workers. Findings Technology-based political skill plays a critical role in shaping the resources microtasking workers rely upon from online communities, including opportunity recognition and knowledge sharing. The ability to develop opportunity recognition positively impacts a microtask worker's ability to leverage online communities for microtask worker performance. Tenure in the community acts as a moderator within the model. Originality/value The present study makes several contributions. First, the authors adapt political skill to an online community to account for how microtask workers understand a community's socio-technical environment. Second, the authors demonstrate the antecedent role of political skill for opportunity recognition and knowledge sharing. Third, the authors provide empirical validation of the link between online communities and microtask worker performance.
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