DISTRIBUTED TUNING OF BOUNDARY RESOURCES: THE CASE OF APPLE'S IOS SERVICE SYSTEM
DISTRIBUTED TUNING OF BOUNDARY RESOURCES: THE CASE OF APPLE'S IOS SERVICE SYSTEM
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DOI：
10.25300/misq/2015/39.1.10
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发表时间：
2015-03-01
期刊：
影响因子：
7.3
通讯作者：
Yoo, Youngjin
中科院分区：
文献类型：
--
作者：
Eaton, Ben;Elaluf-Calderwood, Silvia;Yoo, Youngjin
数字时代已经见证了服务系统的兴起，这些系统涉及高度分布、异构和资源整合的参与者，他们的关系由共享的制度逻辑、标准和数字技术管理。在这些服务系统中，服务的共同创造发生在生成和民主创新的逻辑与基础设施控制的逻辑之间的矛盾张力的背景下。边界资源在管理紧张关系方面发挥着关键作用，因为拥有基础设施的公司可以确保对服务系统的控制，而独立公司可以参与服务系统。在这项研究中，我们探讨了边界资源的演变。借鉴Pickering（1993）和Barrett et al.的（2012年）的概念化的调整，本文旨在推进我们的理解，异构演员如何在苹果的iOS服务系统中的边界资源的调整。我们对苹果iOS服务系统进行了嵌入式案例研究，深入分析了涉及6个不同主题的30个边界资源的4，664篇博客文章。我们的分析表明，由数字技术支持的服务系统的边界资源的形状和重塑，通过分布式调整，这涉及到级联的住宿和拒绝网络的异构演员和文物的行动。我们的研究还表明了权力在分布式调整过程中的二元作用。
The digital age has seen the rise of service systems involving highly distributed, heterogeneous, and resource-integrating actors whose relationships are governed by shared institutional logics, standards, and digital technology. The cocreation of service within these service systems takes place in the context of a paradoxical tension between the logic of generative and democratic innovations and the logic of infrastructural control. Boundary resources play a critical role in managing the tension as a firm that owns the infrastructure can secure its control over the service system while independent firms can participate in the service system. In this study, we explore the evolution of boundary resources. Drawing on Pickering's (1993) and Barrett et al.'s (2012) conceptualizations of tuning, the paper seeks to forward our understanding of how heterogeneous actors engage in the tuning of boundary resources within Apple's iOS service system. We conduct an embedded case study of Apple's iOS service system with an in-depth analysis of 4,664 blog articles concerned with 30 boundary resources covering 6 distinct themes. Our analysis reveals that boundary resources of service systems enabled by digital technology are shaped and reshaped through distributed tuning, which involves cascading actions of accommodations and rejections of a network of heterogeneous actors and artifacts. Our study also shows the dualistic role of power in the distributed tuning process.