University of Wisconsin–Eau Claire

About: University of Wisconsin–Eau Claire is a education organization based out in Eau Claire, Wisconsin, United States. It is known for research contribution in the topics: Poison control & Population. The organization has 1780 authors who have published 2690 publications receiving 93094 citations. The organization is also known as: UW-Eau Claire & University of Wisconsin-Eau Claire.

Risk and protective factors that distinguish adolescents who attempt suicide from those who only consider suicide in the past year.

Abstract: Data from the 2010 Minnesota Student Survey was analyzed to identify risk and protective factors that distinguished adolescents across three groups: no suicidality, suicidal ideation only, and suicide attempt. The population-based sample included 70,022 students in grades 9 and 12. Hopelessness and depressive symptoms emerged as important risk factors to distinguish youth who reported suicidal ideation or behavior from those without a history of suicidality. However, these factors were not as important in differentiating adolescents who attempted suicidal from those who considered suicide but did not act on their thoughts. Instead, for both genders, self-injury represented the most important factor to distinguish these youth. Other risk factors that differentiated the latter groups, but not the former groups, for males were dating violence victimization and cigarette smoking, and for females was a same-sex sexual experience. Running away from home also seemed to increase the risk of a suicide attempt among youth in this study. Parent connectedness and academic achievement emerged as important protective factors to differentiate all the groups, yet neighborhood safety appeared to protect against the transition from suicidal thoughts to behavior. Findings from this study suggest risk and protective factors practitioners should target in clinical assessments and intervention programs to help prevent suicidal behavior among youth at greatest risk.

A Theory of Tailorable Technology Design

Abstract: Tailorable technologies are a class of information systems designed with the intention that users modify and redesign the technology in the context of use. Tailorable technologies support user goals, intentions, metaphor, and use patterns in the selection and integration of technology functions in the creation of new and unique information systems. We propose a theory of tailorable technology design and identify principles necessary for the initial design. Following a Kantian style of inquiry, we identified four definitional characteristics of tailorable technology: a dual design perspective, user engagement, recognizable environments, and component architectures. From these characteristics, we propose nine design principles that will support the phenomenon of tailoring. Through a year-long case study, we refined and evidenced the principles, finding found that designers of tailorable technologies build environments in which users can both interact and engage with the technology, supporting the proposed design principles. The findings highlight a distinction between a reflective environment, where users recognize and imagine uses for the technology, and an active environment in which users tailor the technology in accordance with the imagined uses. This research contributes to the clarification of the role of theory in design science, expands the concept of "possibilities for action" to IS design, and proposes a design theory of a class of information systems for testing and refinement.

Fraud Detection in Online Consumer Reviews

Abstract: Increasingly, consumers depend on social information channels, such as user-posted online reviews, to make purchase decisions. These reviews are assumed to be unbiased reflections of other consumers’ experiences with the products or services. While extensively assumed, the literature has not tested the existence or non-existence of review manipulation. By using data from Amazon and Barnes & Noble, our study investigates if vendors, publishers, and writers consistently manipulate online consumer reviews. We document the existence of online review manipulation and show that the manipulation strategy of firms seems to be a monotonically decreasing function of the product’s true quality or the mean consumer rating of that product. Hence, manipulation decreases the informativeness of online reviews. Furthermore though consumers understand the existence of manipulation, they can only partially correct it based on their expectation of the overall level of manipulation. Hence, vendors are able to change the final outcomes by manipulating online reviewers. In addition, we demonstrate that at the early stages, after an item is released to the Amazon market, both price and reviews serve as quality indicators. Thus, at this stage, a higher price leads to an increase in sales instead of a decrease in sales. At the late stages, price assumes its normal role, meaning a higher price leads to a decrease in sales. Finally, on average, there is a higher level of manipulation on Barnes & Noble than on Amazon.