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Post-traumatic stress disorder (PTSD) affects both civilian and military populations following wartime experiences. However, despite an abundance of research investigating civilian and military populations separately, much less focus has been given to synthesizing and integrating findings to describe how civilian and military war survivors are comparatively affected by PTSD. This review is broken down into three sections covering (1) risk factors associated with PTSD, (2) relationships between PTSD and mental health outcomes, and (3) protective factors that can attenuate PTSD and its effects. Each section covers findings for civilians and military personnel and highlights similarities and differences between groups.

The Internet contains a rapidly increasing quantity of valuable resources on Asia‐specific information. In view of the vast scope of the Asian countries and the fast proliferation of good sites, this article offers only a sampling of valuable Internet resources as starting points for further exploration. It covers meta sites, electronic articles, library resource pages, and electronic journals and newspapers. The first part of this paper includes the Internet sites of Asian studies, the second part contains selected country resources from China, Hong Kong, Japan, Korea and Taiwan, and the third part presents the leading Asian electronic journals and newspapers. Preference was given to comprehensive sites on countries or regions that have been the focus of recent academic study and research. All the sources are in English and some of them contain bilingual or multilingual versions.

The paper explores the emergence of the “big data regime” and the disruption that it is causing for the real estate industry. The paper defines big data and illustrates how an inductive, big data approach can help improve decision-making.

The paper demonstrates how big data can support inductive reasoning that can lead to enhanced real estate decisions. To help readers understand the dynamics and drivers of the big data regime shift, an extensive list of hyperlinks is included.

The paper concludes that it is possible to blend traditional and non-traditional data into a unified data environment to support enhanced decision-making. Through the application of design thinking, the paper illustrates how socially responsible development can be targeted to under-served urban areas and helps serve residents and the communities in which they live.

The paper demonstrates how big data can be harnessed to support decision-making using a hypothetical project. The paper does not present advanced analytics but focuses aggregating disparate longitudinal data that could support such analysis in future research.

The paper focuses on the US market, but the methodology can be extended to other markets where big data is increasingly available.

The paper illustrates how big data analytics can be used to help serve the needs of marginalized residents and tenants, as well as blighted areas.

This paper documents the big data movement and demonstrates how non-traditional data can support decision-making.

The purpose of this paper is to investigate nurses’ attitudes, perceptions, and reactions to a new point-of-care information system for documenting nursing care.

A design science research methodology (DSRM) was used to examine the feasibility and usability of a novel nursing informatics solution in the context of acute hospital care. Data were collected using focus groups and non-participant observations. Analyses were guided by the theoretical lens of actor-network theory (ANT).

The findings unpack an understanding of the potential value of a new technology, rather than a binary understanding of positive or negative value. Using the ANT lens, the study reveals the dynamics of the nurse-technology relationships and consequent disruptions throughout the translation process. The findings highlight the central role of negotiation in the socio-technical construction of the hybrid actor-network during the implementation of new technology in acute hospital contexts.

Further studies are needed to investigate the dynamics and complexity of the translation process that occurs during technology adoption, reactions of the involved actors to the emerging network and impacts on their role and work process.

Engaging nurses early during development and testing; aligning the new system’s functionality and interface with nurses’ interests and work practices; and supporting changes to clinical work process to enable an effective heterogeneous actor-network to emerge and become stable.

This study presents a novel use of ANT in a DSRM to understand an enterprise-wide system involving nurses and real clinical settings. The emerged actor-network provides insights into the translation process when nurses adapt to using new technology in their work.

During the contraction from 1929 to 1933, the Federal Reserve System tracked changes in the status of all banks operating in the United States and determined the cause of each bank suspension. This chapter introduces that hitherto dormant data and presents aggregate series constructed from it. The new data series will supplement, and in some cases, supplant the data currently used to study banking panics during the period, which were published by the Federal Reserve Board of Governors in 1937.