By the People and for the People: The Double-Edged Effects of Platform User Mobilization on Public Policies

IF 4.3 2区 管理学 Q2 MANAGEMENT Academy of Management Discoveries Pub Date : 2024-04-17 DOI:10.5465/amd.2023.0152
Yuni Wen, Edward Walker, Lori Qingyuan Yue
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Abstract

Constituency mobilization is a widely prevalent corporate political strategy, yet we lack systematic evidence on the scope of its effectiveness. One emerging form of constituency mobilization is user mobilization, wherein a company focuses on rallying political support among its users. This approach differs from traditional lobbying, which relies on tightly controlled insider strategies to exert influence over lawmakers. In our study of user mobilization by platform-based companies in the U.S. ridesharing industry between 2012 and 2019, we discovered that corporate user mobilization served as a double-edged sword in that it was associated not only with an increased likelihood of platform legalization but also with heightened levels of regulatory stringency governing these platforms. We propose that the effectiveness of user mobilization hinges on the alignment of interests between business sponsors and users. Additionally, our findings invite further attention into how user mobilization may lead to unintended regulatory stringency through four potential mechanisms: increasing politicians’ attention, enhancing issue salience, political compromise, and/or triggering users to go rogue and deviate from the sponsor’s intended message.
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民有民享:平台用户动员对公共政策的双面影响
选区动员是一种广泛流行的企业政治战略,但我们缺乏有关其有效性范围的系统证据。一种新兴的选区动员形式是用户动员,即公司重点在其用户中争取政治支持。这种方式不同于传统的游说,后者依靠严格控制的内部策略对立法者施加影响。在我们对 2012 年至 2019 年美国共享出行行业平台型公司的用户动员研究中,我们发现企业用户动员是一把双刃剑,因为它不仅与平台合法化的可能性增加有关,还与这些平台的监管严格程度提高有关。我们认为,用户动员的有效性取决于企业赞助商和用户之间的利益一致。此外,我们的研究结果还促使人们进一步关注用户动员如何通过四种潜在机制导致意想不到的监管严格性:提高政治家的关注度、增强问题的突出性、政治妥协和/或引发用户叛变并偏离赞助商的预期信息。
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来源期刊
CiteScore
10.00
自引率
3.20%
发文量
40
期刊介绍: The mission of AMD is to publish phenomenon-driven empirical research that theories of management and organizations neither adequately predict nor explain. Data on these poorly-understood phenomena can come from any source, including ethnographic observations, lab and field experiments, field surveys, meta-analyses, construct validation research, and replication studies. AMD welcomes exploratory research at the pre-theory stage of knowledge development, where it is premature to specify hypotheses, and which generates surprising findings likely to stimulate and guide further exploration and analysis. This research must be grounded in rigorous state-of-the-art methods, present strong and persuasive evidence, and offer interesting and important implications for management theory and practice. Read the Discoveries FAQs.
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