Online neighborhood social networks (ONSNs) represent an emerging phenomenon among a growing number of niche social networks. These platforms afford users the ability to engage in activities such social interaction with neighbors, sharing of information on local issues or neighborhood volunteering and exhibit promising effects, including improved relationships between neighbors and an increase in neighborly communication. Despite the mounting popularity of platforms such as Nextdoor or nebenan, extant research on ONSNs remains scarce. In this paper, we aim to alleviate this research gap by developing a conceptually and empirically validated taxonomy of ONSNs with a particular focus on their differentiating design properties. We further leverage this taxonomy to derive four distinct archetypes of ONSNs based on a cluster analysis. With our research we provide a first and structured overview on the domain of ONSNs and support researchers and practitioners in analyzing, designing and selecting ONSNs.

The nephropathic effects of Heymann's experimental nephrites involve autoallergic serum antibodies directed against rat kidney membrane constituents. In assessing the action of glycolipids as possible autoallergens in these conditions, it was found that heterologous and autologous Heymann's nephritis sera antibodies recognize that rat kidney sulphatides, II3SO3(-)-Gg3Cer (Stri1), and III3SO3(-)-,II3SO3(-)-Gg3Cer (Stri2). Two antibody populations in Heymann's sera, each reacting with only one of the two sulphatides, could be observed. It was further shown that human factor-H and properdin, pivotal regulators of the alternative pathway of complement activation, both bound to Stri2 in vitro. This binding of factor-H and properdin was differentially affected by affinity-purified anti-Stri2 antibodies of Heymann's nephritis sera. Whereas the interaction between factor-H and Stri2 was inhibited by the antibody, that of properdin was enhanced.

The digital age is characterized by hyperconnected services. Whenever we engage with an app we likely engage with a broader set of actors, often facilitated by a platform. Essentially, we engage with a service ecosystem posing particular challenges for privacy regulation. With GDPR taking effect we seek to understand the implications of it for privacy in such ecosystems. Interconnected services can facilitate the diffusion of personal data and thus impede with individual privacy rights. We apply a novel techno-legal analysis to the flow of personal information in service ecosystems. Based on two cases, we show that novel requirements arise for platforms as key actors in service ecosystems. Using our techno-legal analysis we conclude that two major platform providers, Apple and Facebook, have more in common from a legal perspective than the current rhetoric suggests. Based on the analysis, we discuss where privacy-preserving solutions in service ecosystems need to be positioned.

Die Dokumente auf EconStor dürfen zu eigenen wissenschaftlichen Zwecken und zum Privatgebrauch gespeichert und kopiert werden.Sie dürfen die Dokumente nicht für öffentliche oder kommerzielle Zwecke vervielfältigen, öffentlich ausstellen, öffentlich zugänglich machen, vertreiben oder anderweitig nutzen.Sofern die Verfasser die Dokumente unter Open-Content-Lizenzen (insbesondere CC-Lizenzen) zur Verfügung gestellt haben sollten, gelten abweichend von diesen Nutzungsbedingungen die in der dort genannten Lizenz gewährten Nutzungsrechte. Terms of use:Documents in EconStor may be saved and copied for your personal and scholarly purposes.You are not to copy documents for public or commercial purposes, to exhibit the documents publicly, to make them publicly available on the internet, or to distribute or otherwise use the documents in public. If the documents have been made available under an OpenContent Licence (especially Creative Commons Licences), you may exercise further usage rights as specified in the indicated licence.

Public health measures are curtailing the COVID-19 pandemic's spread but also impact individual and societal well-being. Altogether, they test the social resilience of communities, their collective ability to cope with crises. The pandemic highlights the significance of the immediate local community or neighborhood, be it for providing assistance to individuals in need, the sensible sharing of public spaces or a renewed conscience for supporting local businesses. We argue that online neighborhood social networks (ONSNs) represent a viable solution for improving social resilience as they enhance a community's resistance to disruptions, quicken recovery to a normal level of functioning and can become a platform for creative solutions to strengthening social resilience. We conduct a multiple case study to demonstrate how ONSNs foster social resilience in the focal crisis and beyond. Furthermore, we identify design dilemmas and highlight avenues for IS research with a high impact on local communities and their well-being.