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Attribution of Responsibility after Failures within Platform Ecosystems

机译:平台生态系统内失败后责任的归属

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As digital platform ecosystems grow in prominence, their interconnectedness and complexity also grow, making operational failure likely. How failures in such systems affect user perceptions of separate ecosystem components, however, is not well understood. This research investigates attribution of responsibility and discontinuance recommend ations for ecosystem components after failures of ambiguous origin. Building on attribution theory, platform ecosystems literature, and research on digital borders, we conducted two scenario-based experiments investigating negative consequences of failure for ecosystem components. We also explored contingent effects from design elements (border strength) and contextual factors (disruption severity). Results demonstrated that when failures occur, negative consequences diffuse to all ecosystem components, with apps receiving the strongest discontinuance recommendations. Greater disruption severity increased discontinuance recommendations for the app. Furthermore, border strength between ecosystem components shifted negative consequences for failure toward the platform (e.g., operating system [OS] and device). Perceptions of locus and controllability were the primary mechanisms driving attributions of responsibility for failure. However, contrary to attribution theory, lack of failure stability increased blame for the app instead of reducing it. Despite higher coordination costs, our results indicate the importance of better-integrated ecosystems that experience fewer faults and that app developers bear the greatest burden in delivering this experience. Furthermore, attribution for failure can be shaped by clearly delineated borders. Thus, design decisions affecting border strength should be actively managed by ecosystem participants, and app developers may be incentivized to elevate border strength.
机译:随着数字平台生态系统的突出,它们的互连和复杂性也会增长,可能会导致操作失败。然而,这种系统中的失败如何影响用户对单独的生态系统组件的看法,并不充分了解。本研究调查了责任和中断建议在模糊起源失败后对生态系统组件的归属。建立归因理论,平台生态系统文学,以及数字边界研究,我们进行了两项基于情景的实验,调查了生态系统组件失败的负面后果。我们还探讨了设计元素(边界实力)和上下文因素(中断严重)的缺点效果。结果表明,当故障发生时,负面后果扩散到所有生态系统组件,应用程序接收最强的停止建议。更大的中断严重程度增加了应用程序的停止建议。此外,生态系统组件之间的边界强度转移了对平台失败的负面后果(例如,操作系统[OS]和设备)。对基因座和可控性的看法是推动失败责任归属的主要机制。然而,与归因理论相反,缺乏失败的稳定性增加了应用程序而不是减少它。尽管协调成本较高,但我们的结果表明了更好地综合的生态系统的重要性,这些生态系统经历了更少的错误,并且应用程序开发商承担最大的负担在提供这种经验方面。此外,可以通过清楚地划定的边界来塑造失败的归因。因此,应由生态系统参与者积极管理影响边界实力的设计决策,并且可能会激励应用程序开发商来提升边界实力。

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