Strategic Alliance Outcomes: a Transaction‐Cost Economics Perspective

Empirical research on strategic alliances has been limited because previous studies examined alliance outcomes, and the factors associated with them, from a single partner in a manufacturing alliance. Furthermore, many of these studies have been done from a transaction cost perspective and researchers have inferred opportunistic behavior, rather than directly measuring it and observing its actual relationship with alliance performance. Building on previous transaction cost theory and research, this study seeks to address these gaps by analyzing factors associated with both opportunistic behavior and alliance performance within a major service sector, namely the US healthcare industry. After controlling for asset specificity and alliance age, we found that partner trustworthiness and contractual safeguards were negatively related to opportunistic behavior. Furthermore, opportunistic behavior was negatively related to alliance performance, as hypothesized. Interestingly, mutual equity investments were found to be unrelated to opportunistic behavior, counter to transaction‐cost logic. These findings refine and extend the transaction‐cost economics perspective regarding our understanding of strategic alliance behavior and outcomes, and offer executives in service‐based industries some practical ideas for assuring favorable strategic alliance outcomes.     

Influence diagnostics for the Weibull-Negative-Binomial regression model with cure rate under latent failure causes

In this paper, we propose a flexible cure rate survival model by assuming that the number of competing causes of the event of interest follows the Negative Binomial distribution and the time to event follows a Weibull distribution. Indeed, we introduce the Weibull-Negative-Binomial (WNB) distribution, which can be used in order to model survival data when the hazard rate function is increasing, decreasing and some non-monotonous shaped. Another advantage of the proposed model is that it has some distributions commonly used in lifetime analysis as particular cases. Moreover, the proposed model includes as special cases some of the well-know cure rate models discussed in the literature. We consider a frequentist analysis for parameter estimation of a WNB model with cure rate. Then, we derive the appropriate matrices for assessing local influence on the parameter estimates under different perturbation schemes and present some ways to perform global influence analysis. Finally, the methodology is illustrated on a medical data.     

An elastic-net penalized expectile regression with applications

To perform variable selection in expectile regression, we introduce the elastic-net penalty into expectile regression and propose an elastic-net penalized expectile regression (ER-EN) model. We then adopt the semismooth Newton coordinate descent (SNCD) algorithm to solve the proposed ER-EN model in high-dimensional settings. The advantages of ER-EN model are illustrated via extensive Monte Carlo simulations. The numerical results show that the ER-EN model outperforms the elastic-net penalized least squares regression (LSR-EN), the elastic-net penalized Huber regression (HR-EN), the elastic-net penalized quantile regression (QR-EN) and conventional expectile regression (ER) in terms of variable selection and predictive ability, especially for asymmetric distributions. We also apply the ER-EN model to two real-world applications: relative location of CT slices on the axial axis and metabolism of tacrolimus (Tac) drug. Empirical results also demonstrate the superiority of the ER-EN model.     

Quantile regression for large-scale data via sparse exponential transform method

In recent decades, quantile regression has received much more attention from academics and practitioners. However, most of existing computational algorithms are only effective for small or moderate size problems. They cannot solve quantile regression with large-scale data reliably and efficiently. To this end, we propose a new algorithm to implement quantile regression on large-scale data using the sparse exponential transform (SET) method. This algorithm mainly constructs a well-conditioned basis and a sampling matrix to reduce the number of observations. It then solves a quantile regression problem on this reduced matrix and obtains an approximate solution. Through simulation studies and empirical analysis of a 5% sample of the US 2000 Census data, we demonstrate efficiency of the SET-based algorithm. Numerical results indicate that our new algorithm is effective in terms of computation time and performs well for large-scale quantile regression.     

Effects of variations in water quantity and quality in the structure and functions of invertebrates’ community of a Mediterranean urban stream

Urban Ecosystems - Urban streams provide important ecosystem services to cities’ population, from the maintenance of urban biodiversity, temperature, humidity and air quality to improving...     

Negotiating the Intersection of Racial Oppression and Heteronormativity

This qualitative study examines the narratives of seven heterosexual, cisgender individuals who identify both as persons of color and as positively disposed toward LGB and transgender-identified persons. Using psycho-discursive qualitative methodology, the authors will present the narrative strategies taken up by these positively disposed cisgender heterosexuals of color as they attempt to position themselves as supportive of LGB and transgender persons while negotiating the discourse of heteronormativity. The three narrative strategies have been titled differentiation, empathy, and coherence. In addition to mapping the three narrative strategies, the authors also explore why informants may choose certain strategies over others and argue that the intersection of social identities must be considered when attempting to understand social oppression. Implications for the human services fields will be discussed.     

Second generation Caribbean black male youths discuss obstacles to educational and employment opportunities: a critical race counter-narrative analysis

This study explores obstacles to navigating the high school-to-labor market transition experienced by Second Generation Caribbean Black Male Youth (CBMY) living in Canada's Greater Toronto Area (GTA). Drawing upon interviews with ten CBMY between the ages of 18–27, the article uses a qualitative phenomenological methodology to understand barriers to education and employment from their perspectives. Studies show that 45% of CBMY drop out of high school while 52% are precariously employed in the GTA [Allahar, A. L. 2010. “The Political Economy of ‘Race’ and Class in Canada’s Caribbean Diaspora.” American Review of Political Economy 8 (2): 54; James, C. E. 2012. Students “at Risk” Stereotypes and the Schooling of Black Boys. Urban Education 47 (2), 464–494.; Lewchuk, W., and M. Lafleche. 2014. Precarious Employment and Social Outcomes. Just Labour: A Canadian Journal of Work and Society, 22, 45–50.; Block and Galabuzi 2011. Canada’s Color Coded Labor market: The Gap for Racialized workers. Canadian Centre for Policy Alternatives?=?Centre Canadien de Politiques alternatives]. The ten interview subjects provide retrospective and introspective counter-narratives that expose the race, class and gender-based barriers that frustrate their efforts to secure stable employment. The study utilizes Critical Race Theory (CRT) and the concept of White Supremacy to challenge the view that educational and employment success is based on color-blindness, merit and hard work. The CBMY counter-narratives examined in this study offer profound insight into dominant ideologies and practices that perpetuate racial biases, and present many valuable suggestions, explicit and implied, regarding how to improve the opportunities, inclusion and well-being of CBMY.     

Forensic Evaluation of Deaf Individuals: Challenges and Strategies

ABSTRACT

Forensic evaluation of deaf individuals presents unique challenges due to many examinees’ fund of information deficits, potential for language deprivation, and examiners’ frequent lack of creativity regarding communication methods. This article describes challenges most frequently encountered in competency to stand trial and criminal responsibility evaluations and offers strategies for overcoming them. The value of employing multiple communication methods, especially the use of illustrations, is emphasized. Suggestions also are offered regarding preparing evaluation reports and effectively communicating “key deaf fundamentals” to legal personnel. Encouragement is offered for qualified, sign-fluent professionals to engage in forensic work.     

Assessing the Tongzhi Label: Self-Identification and Public Opinion

Tongzhi is one of several Chinese terms that refer to individuals who are attracted to the same sex. Using data from two different surveys in Hong Kong, this research note examines how the term tongzhi coexists with other terms. We investigate the prevalence of self-identification as tongzhi, and we explore the extent to which using the term tongzhi influences public attitudes toward gay people and gay rights. Activists began popularizing the term tongzhi in the late 1980s, but less than one third of the participants in our 2008 survey of sexual orientation minorities (n = 728) described themselves as tongzhi. Using a split-ballot experiment in a 2013 public opinion poll (n = 831), we found that attitudes toward gay people and gay rights were not significantly impacted by whether questions were phrased in terms of tongzhi or the main alternative term tongxinglianzhe. We discuss how our findings can enrich understandings of earlier research and illuminate avenues for future study.