Off the rivals’ radar in emerging market segments: Non-mutual rival recognition between new firms and incumbents

We examine the causes of non-mutual rival recognition—a situation in which new firms in emerging market segments recognize incumbents in pre-existing and potentially related market segments as rivals, but the incumbents do not recognize the new firms as rivals. Drawing upon the prototype theory, which makes use of cognitive representations or images in recognition processes, we argue that managers use rival prototypes in making sense of competitive environments. Specifically, we argue that non-mutual rival recognition occurs when new firms are not proximate to the incumbents' prototype of rivals because their organizational attributes, such as size and age, are highly distinct. It also occurs when it is difficult for incumbents, owing to their diversification into multiple product markets, or their strong identity as players in emerging market segments, to clearly assess new firms’ proximity to the prototype. Using the context of U.S. online retailers that went public between 1995 and 2001, we find support for our arguments.     

A life course approach to understanding homelessness of shelter residents

ABSTRACT

Using in-depth interviews of 40 residents from a homeless shelter in El Paso, Texas in the United States, this study examines the etiology, processes, and patterns of homelessness by assessing those confronting homeless spells at different time points and for varying reasons. Our study is guided by the research questions: How did residents of homeless shelters experience transitions and turning points of homelessness? What were the coping resources that homeless people drew on to overcome life adversities? Overall, we found that risk accumulation as a result of different traumatic events, such as death of a family member, marital or relationship breakdown, victimization, unemployment, substance addiction, poor mental health, or discrimination confronted in varied contexts, could serve as precursors or consequences that exacerbated the housing crisis over the course of a life. We recommend that efforts geared toward remediating, alleviating, or preventing homelessness be life course driven. It is only through compassion and empathy rather than criminalizing and stigmatizing that we can help stop the triggers and spread of the downward spiral of homelessness.     

The Relationship between Social Dominance Orientation and Child Sexual Abuse Credibility Assessment

ABSTRACT

Allegations of child sexual abuse (CSA) across various contexts have often been denied or ignored by a multitude of people, including those who do not personally know the alleged perpetrators or victims. The lack of belief of children’s CSA reports is problematic, as this may affect the child’s adjustment, the consequences for the alleged perpetrator, and the likelihood of other victims reporting abuse that they experienced. One plausible explanation for low credibility is the variable of social dominance orientation. In the current study, a diverse sample (N = 60) read a hypothetical vignette of a CSA allegation, rated the credibility of the child, and completed the Social Dominance Orientation-7 scale (SDO-7). Results supported that high social dominance orientation predicts low credibility ratings of the child’s CSA allegation. Findings may impact how clinicians and investigators approach the assessment of credibility of CSA allegations, how they appraise the opinions of others about such credibility, and jury selection in the court system.     

A Comparative Evaluation of Error and Bias in Census Tract-Level Age/Sex-Specific Population Estimates: Component I (Net-Migration) vs Component III (Hamilton–Perry)

While the housing-unit method continues to be the preferred method nationwide for producing small-area population estimates, this procedures lacks a method for making age/sex-specific estimates. This paper reports evaluation research on implementation of component-based methods for estimating census tract populations with age/sex detail. Two alternatives are explored: (1) the Component I method relying upon estimates of births, deaths, and net-migration and (2) the Component III method relying solely upon 1990 and 2000 Census counts. From an April 1, 2000 base, each method is used to make estimates moving forward to an April 1, 2010 estimate that is compared to the results of the 2010 Census. The two methods are compared in terms of accuracy and bias using both absolute and algebraic mean and median percentage errors. Results are reviewed and discussed in light of their implications for applied demographers tasked with making small-area demographic estimates.     

The impact of incomplete geocoding on small area population estimates

Small-area population estimates are often made using geocoded address data in conjunction with the housing-unit method. Previous research, however, suggests that these data are subject to systematic incompleteness that biases estimates of race, ethnicity, and other important demographic characteristics. This incompleteness is driven largely by an inability to complete georeference address-based datasets. Given these challenges, small-area demographers need further, and to date largely unavailable, information on the amount of error typically introduced by using incompletely geocoded data to estimate population. More specifically, we argue that applied demographers should like to know if these errors are statistically significant, spatially patterned, or systematically related to specific population characteristics. This paper evaluates the impact of incomplete geocoding on accuracy in small-area population estimates, using a Vintage 2000 set of block-group estimates of the household population for the Albuquerque, NM metro area. Precise estimates of the impact of incomplete geocoding on the accuracy of estimates are made, associations with specific demographic characteristics are considered, and a simple potential remediation based on Horvitz-Thompson theory is presented. The implications of these results for the practice of applied demography are reviewed.