BUSINESS COMBINATION DECISIONS: A U.S./CANADA STUDY*

The purpose of this paper is to clarify the motives behind business combination decisions. Twenty-one favorable characteristics associated with the motivations for business combinations were selected to serve as the basis for an empirical survey. Our analysis revealed that there are seven motivational variables of varying import and that the motivations underlying business combination decisions are similar for U.S. and Canadian executives.     

Evaluation of objectivity, reliability and criterion validity of the key indicator method for manual handling operations (KIM-MHO), draft 2007

Upper extremity musculoskeletal symptoms and disorders are common in the working population. The economic and social impact of such disorders is considerable. Long-time, dynamic repetitive exposure of the hand-arm system during manual handling operations (MHO) alone or in combination with static and postural effort are recognised as causes of musculoskeletal symptoms and disorders. The assessment of these manual work tasks is crucial to estimate health risks of exposed employees. For these work tasks, a new method for the assessment of the working conditions was developed and a validation study was performed. The results suggest satisfying criterion validity and moderate objectivity of the KIM-MHO draft 2007. The method was modified and evaluated again. It is planned to release a new version of KIM-MHO in spring 2012.     

Optimizing out-of-school time: the role of free-choice learning

Free-choice learning, a new paradigm for the learning that youth and their families engage in outside school, can play an important role in the healthy development of youth, their families, and communities.     

Separator-based data reduction for signed graph balancing

Polynomial-time data reduction is a classical approach to hard graph problems. Typically, particular small subgraphs are replaced by smaller gadgets. We generalize this approach to handle any small subgraph that has a small separator connecting it to the rest of the graph. The problem we study is the NP-hard Balanced Subgraph problem, which asks for a 2-coloring of a graph that minimizes the inconsistencies with given edge labels. It has applications in social networks, systems biology, and integrated circuit design. The data reduction scheme unifies and generalizes a number of previously known data reductions, and can be applied to a large number of graph problems where a coloring or a subset of the vertices is sought. To solve the instances that remain after reduction, we use a fixed-parameter algorithm based on iterative compression with a very effective heuristic speedup. Our implementation can solve biological real-world instances exactly for which previously only approximations were known. In addition, we present experimental results for financial networks and random networks.     

Return Migrations of African‐Americans to the South: Reclaiming a Land of Promise,Going Home,or Both?*

Abstract Using samples of census data from the University of Minnesota Population Center's “Integrated Public Use Microdata Series” (IPUMS), we describe trends in African‐American migration to the South across recent decades, and explore the applicability of the concept of “return migration” to various demographic patterns. Our findings suggest that the return movement contains multiple migration streams involving African‐Americans of higher socio‐economic status (compared with both origin and destination populations) moving to both urban and rural destinations. These patterns represent clear differences from the earlier 20^th century's “Great Migration” of African‐Americans from South to North. The recent return migration streams suggest that the South may be replacing the North as a “land of promise” for some upwardly mobile African‐Americans, and may also reflect what Carol Stack (1996) has termed a “call to home” as a motivating factor shaping recent African‐American migration to the rural South.     

Issue Saliency and Gender Stereotypes: Support for Women as Presidents in Times of War and Terrorism*

Objective. This article examines how issue saliency affects the public's perceptions of whether a man or a woman would make a better president when considering the most important problem facing the nation. Method. The study uses telephone survey data of adults in the United States collected by the Annenberg Public Policy Center in September 2003. Multinominial logistic regression models were conducted to parse out the effects of issue saliency on presidential gender preference while taking demographic characteristics and party identification into account. Results. People who said that terrorism, homeland security, and/or U.S. involvement in Iraq was the most important problem facing the nation were more likely to say that a man would do a better job handling the issue as president. Conclusion. This study finds that issue saliency affects presidential gender preference above and beyond demographic and party identification variables.     

Understanding Gaps Between the Risk Perceptions of Wildland–Urban Interface (WUI) Residents and Wildfire Professionals

Research across a variety of risk domains finds that the risk perceptions of professionals and the public differ. Such risk perception gaps occur if professionals and the public understand individual risk factors differently or if they aggregate risk factors into overall risk differently. The nature of such divergences, whether based on objective inaccuracies or on differing perspectives, is important to understand. However, evidence of risk perception gaps typically pertains to general, overall risk levels; evidence of and details about mismatches between the specific level of risk faced by individuals and their perceptions of that risk is less available. We examine these issues with a paired data set of professional and resident assessments of parcel‐level wildfire risk for private property in a wildland–urban interface community located in western Colorado, United States. We find evidence of a gap between the parcel‐level risk assessments of a wildfire professional and numerous measures of residents’ risk assessments. Overall risk ratings diverge for the majority of properties, as do judgments about many specific property attributes and about the relative contribution of these attributes to a property's overall level of risk. However, overall risk gaps are not well explained by many factors commonly found to relate to risk perceptions. Understanding the nature of these risk perception gaps can facilitate improved communication by wildfire professionals about how risks can be mitigated on private lands. These results also speak to the general nature of individual‐level risk perception.     

Career Assessment and Counseling for STEM: A Critical Review

Career counselors must continually enhance their knowledge and skills to assist clients contemplating careers in science, technology, engineering, and mathematics (STEM). Therefore, the authors review STEM disciplines and theory‐driven strategies for assisting diverse individuals to explore, enter, and persist in STEM careers. Appropriate use of career assessments can contribute greatly to this effort. To identify available measures for STEM‐focused domains and constructs, the authors conducted a journal content analysis of stand‐alone STEM‐related career assessments from 1983 to 2016, identifying 39 articles with 153 measures. Notable results included the emergence of social cognitive theory and social cognitive career theory as prevailing frameworks for instrument development, a wide variety of disciplines and journals represented, an underrepresentation of minority samples, and untapped potential for cross‐discipline and researcher–practitioner collaboration. Useful strategies and resources for counselors and recommendations for enhancing career assessments and interventions are addressed.