Retransmitted messages online can have profound effects on disaster response; however, existing literature provides an incomplete account of why messages are retransmitted on social media in disasters. In particular, there is a need to theorize the capabilities of the communication tools used for sending messages, because nowadays people can send messages online via different tools. This paper aims to theorize and explain how the capabilities of communication tools affect message retransmission by affecting the generation of message characteristics. To test our account, we collected and coded Twitter data from three disasters, and employed five logistic regressions to test our hypotheses. Our results confirm our expectations that compared to messages sent from desktops, messages sent from mobile devices are less likely to be helpful and verifiable, but are more likely to have visual attachments and expressions of anxiety.

Abstract The appetite for effective use of information assets has been steadily rising in both public and private sector organisations. However, whether the information is used for social good or commercial gain, there is a growing recognition of the complex socio-technical challenges associated with balancing the diverse demands of regulatory compliance and data privacy, social expectations and ethical use, business process agility and value creation, and scarcity of data science talent. In this vision paper, we present a series of case studies that highlight these interconnected challenges, across a range of application areas. We use the insights from the case studies to introduce Information Resilience, as a scaffold within which the competing requirements of responsible and agile approaches to information use can be positioned. The aim of this paper is to develop and present a manifesto for Information Resilience that can serve as a reference for future research and development in relevant areas of responsible data management.

Many important findings and discoveries in science and everyday life are the result of serendipity, that is, the unanticipated occurrence of happy events such as the finding of valuable information. Consumers are increasingly seeking serendipity in online shopping, where information clutter and preprogramed recommendation systems can make product choice frustrating or mundane. However, it is notoriously difficult to design online shopping environments that induce it. In this study, we explore how social media affordances such as obtaining access to peer-generated content and being connected to online friends can help create the right conditions for serendipity in online shopping. We supplement this analysis with an account of two individual factors that are also likely to be instrumental in a shopping context, namely, the intensity of shoppers’ information search and their aversion to risk when faced with a product choice. Our investigation relies on a conceptualization of serendipity that has two defining elements: unexpectedness and informational value . The results of an experimental study in which we manipulated an online product search environment reveal the superiority of designs that incorporate online friendships, and these results support the positive effects of search effort and risk aversion on serendipity. This study contributes by developing a theoretical framework for the analysis of serendipity and by explaining how social commerce , that is, the integration of social media and electronic commerce , can cultivate serendipity.

There has been growing interest in theory building in Information Systems (IS) research. We extend this literature by examining theory building perspectives. We define a perspective as a researcher’s choice of the types of concepts and relationships used to construct a theory, and we examine three perspectives – process, variance, and systems. We contribute by clarifying these perspectives and explaining how they can be used more flexibly in future research. We illustrate the value of this more flexible approach by showing how researchers can use different theoretical perspectives to critique and extend an existing theoretical model (in our case, the IS Success Model). Overall, we suggest a shift from the traditional process-variance dichotomy to a broader view defined by conceptual latitude (the types of concepts and relationships available) and conceptual fit (the types of concepts and relationships appropriate for a given study). We explain why this shift should help researchers as they engage in the knowledge generation process.