Purpose: Since the outbreak of the COVID-19 pandemic customers fear for their health when interacting with service providers. To mitigate this fear service providers are using safety signals directed to consumers and other stakeholders who make organizational assessments.The purpose of this article is to synthesize the range of safety signals in a framework that integrates signalling theory with servicescape elements so as to provide guidance for service providers to assist in their recovery. Design/methodology/approach: We extracted examples of how service providers signal safety to their consumers that the risk of infection is low in exchanging with their service. These examples were taken from secondary data sources in the form of trade publications resulting from a systematic search and supplemented by an organic search. Findings: In total 53 unique safety signals were identified and assigned to 24 different categories in our framework. Most of the signals fell into the default and sale independent category, followed by the default contingent revenue risking category. Originality: This study builds on signalling theory and service literature to develop a framework of the range of safety signals currently in use by service providers and offers suggestions as to which are likely to be most effective. Further, a future research inquiry of safety signals is presented which we believe has promise in assisting recovery in a post pandemic world.

中文翻译：

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限制，清洁和保护：在大流行期间及以后向消费者发出安全信号

目的：自COVID-19爆发以来，大流行客户在与服务提供商互动时担心其健康。为了减轻这种恐惧，服务提供商正在使用针对消费者和其他进行组织评估的利益相关者的安全信号。本文的目的是在将信令理论与Servicescape元素集成在一起的框架中综合安全信号的范围，从而为服务提供商，以帮助他们康复。设计/方法/方法：我们提取了一些示例，这些示例说明了服务提供商如何向其消费者发出安全信号，即与他们的服务进行交换时感染的风险较低。这些示例是通过系统搜索并以有机搜索为补充，以贸易出版物形式从辅助数据源中获取的。发现：在我们的框架中，总共确定了53种独特的安全信号并将其分配给24个不同的类别。大多数信号属于违约和与销售无关的类别，其次是违约或有收入风险类别。独创性：本研究建立在信号理论和服务文献的基础上，为服务提供商当前使用的一系列安全信号框架提供了建议，并针对哪些信号可能最有效提供了建议。此外，我们提出了对安全信号的未来研究查询，我们相信该信号有望在大流行后的世界中帮助康复。独创性：本研究建立在信号理论和服务文献的基础上，为服务提供商当前使用的一系列安全信号框架提供了建议，并针对哪些信号可能最有效提供了建议。此外，我们提出了对安全信号的未来研究查询，我们相信该信号有望在大流行后的世界中帮助康复。独创性：本研究建立在信号理论和服务文献的基础上，为服务提供商当前使用的一系列安全信号框架提供了建议，并针对哪些信号可能最有效提供了建议。此外，我们提出了对安全信号的未来研究查询，我们相信该信号有望在大流行后的世界中帮助康复。