Why Study Risk Perception?

Studies of risk perception examine the opinions people express when they are asked, in various ways, to characterize and evaluate hazardous activities and technologies. This research aims to aid risk analysis and societal decision making by (i) improving methods for eliciting opinions about risk, (ii) providing a basis for understanding and anticipating public responses to hazards, and (iii) improving the communication of risk information among laypeople, technical experts, and policy makers.     

The Savvy Caregiver Program: Impact of an Evidence-Based Intervention on the Well-Being of Ethnically Diverse Caregivers

This article reports on the impact of the Savvy Caregiver Program (SCP) on English-speaking caregivers of Hispanic, Black/African American, and Asian/Pacific Islander descent. Caregivers completed a questionnaire prior to study enrollment, at 6 and 12 months postenrollment. Caregivers in all 3 ethnic groups showed more caregiver competence, reduced depression, greater tolerance for care recipients’ memory problems, better management of their overall situation, and improved perception of that situation 6 months and 12 months post-enrollment. The study demonstrates that in the sample studied the SCP was as effective in helping ethnically diverse caregivers as it has shown to be with Caucasian caregivers.     

Power and perceptions in participatory monitoring and evaluation

This paper examines the assumptions that commonly underpin the design of participatory monitoring and evaluation (PM&E) within development programmes through the examination of a case study of a large rural development programme in Uganda. This case study reveals a mismatch between programme assumptions and participant perceptions, which stymied the implementation of PM&E. In this case, PM&E was based on the assumptions that programme and participant goals were compatible, participants were willing to volunteer and engage themselves for the greater good of their communities, and information sharing and communication was fairly free and open. However, farmers within the programme felt that the bureaucratic and accountability requirements of the programme were not their concern, and were acutely aware of power differences between farmers and programme officials, and between farmers of varying status. The key lesson to be drawn from this case is the need for a heightened awareness of power dynamics and political factors in the design of PM&E.     

A Multidisciplinary Cognitive Behavioural Framework of Impulse Buying: A Systematic Review of the Literature

Impulse buying (IB) is one of the most fragmented concepts in the marketing and consumer literature. This has resulted in some contradictory findings and a lack of an overarching theoretical framework for understanding the IB process and its outcomes. Based on a systematic review of the literature published over the past 60 years, the authors synthesize various research perspectives into a comprehensive multidisciplinary framework of IB – linking antecedents, triggers, the buying act and post‐purchase outcomes. The paper makes four specific contributions relevant to both academic researchers and practitioners. First, it provides a comprehensive understanding of IB as a process and outcome, by systematically reviewing the existing literature. Second, it specifically recognizes and discusses the triggers of IB, by drawing on literature related to the buying process, intentions and motivations. Third, this is the first meta‐analysis review in the area. Finally, it considers the potential consequences of IB that lead to subsequent IB, and provides a framework for future investigation. This paper also addresses a problem of relevance to both academics and practitioners, proposing further research and managerial implications.     

Topological Performance Measures as Surrogates for Physical Flow Models for Risk and Vulnerability Analysis for Electric Power Systems

Critical infrastructure systems must be both robust and resilient in order to ensure the functioning of society. To improve the performance of such systems, we often use risk and vulnerability analysis to find and address system weaknesses. A critical component of such analyses is the ability to accurately determine the negative consequences of various types of failures in the system. Numerous mathematical and simulation models exist that can be used to this end. However, there are relatively few studies comparing the implications of using different modeling approaches in the context of comprehensive risk analysis of critical infrastructures. In this article, we suggest a classification of these models, which span from simple topologically‐oriented models to advanced physical‐flow‐based models. Here, we focus on electric power systems and present a study aimed at understanding the tradeoffs between simplicity and fidelity in models used in the context of risk analysis. Specifically, the purpose of this article is to compare performance estimates achieved with a spectrum of approaches typically used for risk and vulnerability analysis of electric power systems and evaluate if more simplified topological measures can be combined using statistical methods to be used as a surrogate for physical flow models. The results of our work provide guidance as to appropriate models or combinations of models to use when analyzing large‐scale critical infrastructure systems, where simulation times quickly become insurmountable when using more advanced models, severely limiting the extent of analyses that can be performed.     

Path to “Stardom” in Globally Distributed Hybrid Teams: An Examination of a Knowledge‐Centered Perspective using Social Network Analysis

Although distributed teams have been researched extensively in information systems and decision science disciplines, a review of the literature suggests that the dominant focus has been on understanding the factors affecting performance at the team level. There has however been an increasing recognition that specific individuals within such teams are often critical to the team's performance. Consequently, existing knowledge about such teams may be enhanced by examining the factors that affect the performance of individual team members. This study attempts to address this need by identifying individuals who emerge as “stars” in globally distributed teams involved in knowledge work such as information systems development (ISD). Specifically, the study takes a knowledge‐centered view in explaining which factors lead to “stardom” in such teams. Further, it adopts a social network approach consistent with the core principles of structural/relational analysis in developing and empirically validating the research model. Data from U.S.–Scandinavia self‐managed “hybrid” teams engaged in systems development were used to deductively test the proposed model. The overall study has several implications for group decision making: (i) the study focuses on stars within distributed teams, who play an important role in shaping group decision making, and emerge as a result of a negotiated/consensual decision making within egalitarian teams; (ii) an examination of emergent stars from the team members’ point of view reflects the collective acceptance and support dimension decision‐making contexts identified in prior literature; (iii) finally, the study suggests that the social network analysis technique using relational data can be a tool for a democratic decision‐making technique within groups.     

Household debt and financial assets: evidence from Germany, Great Britain and the USA

Summary.  We explore the determinants of debt, financial assets and net worth at the household level by using survey data for Germany, Great Britain and the USA. To identify which households are potentially vulnerable to adverse changes in the economic environment, we also explore the determinants of a range of measures of financial pressure: the probability that a household has negative net worth; the debt-to-income ratio; mortgage income gearing; the saving-to-income ratio. Our empirical findings suggest that the poorest and the youngest households are the most vulnerable to adverse changes in their financial circumstances.     

The Permeable Border: Examining Responses to North American Integration in Video Art

Abstract

In this essay, I suggest that artistic production provides valuable insights into the nature of the Canada-US border during the late-twentieth century when significant changes were occurring to dominant understandings of Canada in relation to North America. Focusing on the medium of video art, I trace the sustained engagement of Canadian contemporary artists to respond to and comment on the move towards continental integration through free trade. I contextualize my discussion in relation to trade developments that opened Canada’s border with the US, such as the 1989 implementation of the Canada-US Free Trade Agreement. This agreement, along with the later North American Free Trade Agreement, led to increasing continental integration at the end of the twentieth century, as well as hope for hemispheric integration with the subsequent negotiations towards the Free Trade Area of the Americas. With attention to works by Lisa Steele and Kim Tomczak, Eva Manly, and Clive Robertson, I foreground cultural contributions to redefining the Canada-US borderlands. Here, I chart the artists’ intention to echo narratives of the border’s porousness and address the power dynamics between the Canadian state and its trade partners. Examining themes of cultural imperialism, colonialism, and national identity, I point to the importance of cultural production in assessing the borderlands and, more broadly, histories of free trade in North America.