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Research in critical disaster studies stresses the urgency to explore alternative ontological framings (Gaillard and Raju, 2022) that encourages researchers and practitioners, especially Indigenous communities, to nurture spaces where Indigenous voices are well represented. It is imperative that research in the Pacific should be guided by Pacific research methodologies to maximize positive outcomes (Ponton, 2018) and break free from limited Eurocentric ideologies that are often ill-suited in Pacific contexts. Hazards in the South Pacific region have become more frequent and volatile. This has created a growing interest in the study of disasters in the region. However, current disaster studies in the Pacific are often problematic as they often fail to challenge the implicit coloniality of the discipline.

This paper will expand on these arguments, suggesting ways to overcome the limits of common Eurocentric research frameworks in disaster studies and to illustrate the significance and relevance of Pacific methodologies.

It is pertinent that critical disaster studies encapsulate Pacific worldviews and knowledge as valued and valid to reconstruct Pacific research. Decolonizing disaster research will ultimately liberate the discipline from limitations of its colonial past and allow for truly engaging and critical research practices.

This paper will illustrate and articulate how Talanoa, a pan-Pacific concept, could offer a more culturally appropriate research methodology to disasters, seen through a Samoan lens. Talanoa is an informal conversation that is widely shared among Pacific communities based on pure, authentic and real conversations which are crucial elements in building relationships with Pacific communities (Vaioleti, 2006).

This volume presents state-of-the-art research and thinking on the analysis of justification, evaluation and critique in organizations, as inspired by the foundational ideas of French Pragmatist Sociology’s economies of worth (EW) framework. In this introduction, we begin by underlining the EW framework’s importance in sociology and social theory more generally and discuss its relative neglect within organizational theory, at least until now. We then present an overview of the framework’s intellectual roots, and for those who are new to this particular theoretical domain, offer a brief introduction to the theory’s main concepts and core assumptions. This we follow with an overview of the contributions included in this volume. We conclude by highlighting the EW framework’s important yet largely untapped potential for advancing our understanding of organizations more broadly. Collectively, the contributions in this volume help demonstrate the potential of the EW framework to (1) advance current understanding of organizational processes by unpacking justification dynamics at the individual level of analysis, (2) refresh critical perspectives in organization theory by providing them with pragmatic foundations, (3) expand and develop the study of valuation and evaluation in organizations by reconsidering the notion of worth, and finally (4) push the boundaries of the framework itself by questioning and fine tuning some of its core assumptions. Taken as a whole, this volume not only carves a path for a deeper embedding of the EW approach into contemporary thinking about organizations, it also invites readers to refine and expand it by confronting it with a wider range of diverse empirical contexts of interest to organizational scholars.

The picture exchange communication system (PECS) is an established communication intervention for non-verbal children with autism. The purpose of this paper is to present an evaluation of a computer-based PECS approach, in which young non-verbal children with autism respond to an on-screen “virtual tutor” through the manipulation of picture/symbol cards. The paper presents research to investigate how the virtual tutor’s voice influences the children’s participation and performance.

Eight non-verbal children between six and nine years old and with a diagnosis of autism were presented with a series of computer-based activities, using a virtual tutor with either a natural or synthetic voice, in two separate sessions. Data were gathered using a within-participants counterbalanced design to control against variations between individuals and effects of presentation order.

Analysis of the children’s responses suggest that they were able to use the system more effectively when the virtual tutor had a synthetic voice, rather than a human voice. The findings demonstrate that a computer-based virtual tutor can provide an engaging method of supporting symbol-based communication for non-verbal children with autism, and that a synthetic voice type was preferable for the sessions undertaken.

Investigations of voice type and its influence on non-verbal children’s participation and performance have so far provided inconclusive results (Ramdoss, 2013). This research suggests that the voice type is an important feature of the learning experience of non-verbal children with autism, and can have a significant influence on their participation and performance in virtual tutor-led learning.

The purpose of this paper is to investigate whether downside-risk measures help to explain why households largely refrain from investing in Exchange Traded Funds that replicate broad and internationally diversified market indices, so-called XTFs, although studies frequently recommend to do so.

The paper analyzes whether evaluating risk in terms of downside-risk measures which reflect households' interpretation of risk closer than the standard deviation (SD) of returns, yields less risk-return-enhancements, and thus, fewer incentives for households to invest in XTFs. Household portfolios are compiled by combining stylized portfolio compositions that involve multiple asset classes and German households' security holdings. The data set covers the period from January 2014 to December 2016 and includes 47,388 securities.

The results indicate that none of the downside-risk measures can help to explain the reluctance of households to invest in XTFs. On the flip side, the results show that all stylized household portfolios can enhance the risk-return position from employing XTFs, regardless of the underlying risk measure. This supports the advice to invest in XTFs and extends it upon households that evaluate risk in terms of downside-risk.

To the best of the authors' knowledge, this study is the first to investigate risk-return-enhancements from XTFs while simultaneously considering various downside-risk measures and multiple asset classes of household portfolios.

User profiling with big data raises significant issues regarding privacy. Privacy studies typically focus on individual privacy; however, in the era of big data analytics, users are also targeted as members of specific groups, thus challenging their collective privacy with unidentified implications. Overall, this paper aims to argue that in the age of big data, there is a need to consider the collective aspects of privacy as well and to develop new ways of calculating privacy risks and identify privacy threats that emerge.

Focusing on a collective level, the authors conducted an extensive literature review related to information privacy and concepts of social identity. They also examined numerous automated data-driven profiling techniques analyzing at the same time the involved privacy issues for groups.

This paper identifies privacy threats for collective entities that stem from data-driven profiling, and it argues that privacy-preserving mechanisms are required to protect the privacy interests of groups as entities, independently of the interests of their individual members. Moreover, this paper concludes that collective privacy threats may be different from threats for individuals when they are not members of a group.

Although research evidence indicates that in the age of big data privacy as a collective issue is becoming increasingly important, the pluralist character of privacy has not yet been adequately explored. This paper contributes to filling this gap and provides new insights with regard to threats for group privacy and their impact on collective entities and society.