The Dynamics of Research Alliances: Examining the Effect of Alliance Experience and Partner Characteristics on the Speed of Alliance Entry in the Biotech Industry

Few studies have moved beyond the dyadic level of an ongoing alliance and examined factors contributing to the success of entering a series of alliances. In this paper we expect biotechnology firms over time to learn from their alliance experience and to develop general alliance capabilities. Specifically, we expect the speed with which they enter into new research alliances, e.g. their alliance formation rate, to be affected by capabilities built up in prior alliances as well as by characteristics of their partners. We use longitudinal event history data for the complete population of US biotechnology firms for 1973–1999 to test four hypotheses about factors affecting the rate of new alliance formation. Our analysis suggests that the speed of entering research alliances is affected by prior experience of the focal firm, but not by partner characteristics. Our findings provide evidence that biotech firms learn how to learn more effectively from multiple research alliances; however, this effect is generalized and not tied to specific characteristics of the alliance partner.     

Referent Group Proximity,Social Norms,and Context: Alcohol Use in a Low-Use Environment

Abstract

Objective: The purpose of this study was to investigate the relationship between perceived normative use of alcohol and reported consumption in an environment where relatively little alcohol use occurs. Participants: A total of 585 undergraduate students completed an online survey on alcohol use in March 2006. Methods: Participants reported personal alcohol use and perceptions of use by “friends,” “the average student,” and “the average student who drinks.” Results: Due to the large number of students reporting zero alcohol use, zero-inflated negative binomial regression was used to analyze the data. Results showed that perceptions of use and beliefs about the acceptability of use by proximal groups were strongly and positively correlated with personal alcohol use. Perceptions of distal groups were either not correlated or were correlated negatively with personal use. Conclusion: These findings suggest that the use of distal referent groups for a social norms campaign in a low-use environment may have paradoxical effects.     

Environmental Refugees? Classifying Human Migrations Caused by Environmental Change

What distinguishes environmental refugees from other refugees—or other migrants? Are all environmental refugees alike? This essay develops a classification to begin to answer these questions and facilitate future policies and research on environmental refugees. Environmental refugees may have considerable control over the decision to migrate, but this varies by the type of environmental disruption. The origin, intention, and duration of environmental disruptions shape the type of refugee. Refugees from disasters and expropriations have limited control over whether environmental changes will produce migration. Gradual degradation allows “environmental emigrants” to determine how they will respond to environmental change.     

An Empirical Study of Statistical Properties of Variance Partition Coefficients for Multi-Level Logistic Regression Models

Partitioning the variance of a response by design levels is challenging for binomial and other discrete outcomes. Goldstein (2003 Goldstein , H. ( 2003 ). Multilevel Statistical Models. 3rd ed . London : Edward Arnold . [Google Scholar]) proposed four definitions for variance partitioning coefficients (VPC) under a two-level logistic regression model. In this study, we explicitly derived formulae for multi-level logistic regression model and subsequently studied the distributional properties of the calculated VPCs. Using simulations and a vegetation dataset, we demonstrated associations between different VPC definitions, the importance of methods for estimating VPCs (by comparing VPC obtained using Laplace and penalized quasilikehood methods), and bivariate dependence between VPCs calculated at different levels. Such an empirical study lends an immediate support to wider applications of VPC in scientific data analysis.     

Do Expectations Make the Difference? A Look at the Effect of Educational Expectations and Academic Performance on Enrollment in Post-Secondary Education

Despite the belief that education is the great equalizer in American society, previous research has shown that the promises of educational accomplishments have not extended equally across racial/ethnic groups as minorities are less likely to matriculate to post-secondary education. Using data from the second follow-up and base year of the Educational Longitudinal Study of 2002, we examine the impact of GPA and students’ expectations on the probability of post-secondary enrollment. Specifically, we assess the impact of low achievement on the probability of post-secondary enrollment across racial/ethnic groups. We find that low achievement acts as less of a barrier to post-secondary enrollment for minority students compared with their non-Hispanic white counterparts. Moreover, students with high expectations and low achievement experienced higher probabilities of post-secondary enrollment than students with low expectations and high achievement. Given that minority students are said to have higher expectations, we examine whether the interaction of expectations and achievement varies across racial/ethnic groups. While we did not uncover racial/ethnic differences for low-achieving students with high expectations, our findings suggest that expectations help propel all low-achieving students with high expectations into post-secondary enrollment. This study moves beyond the traditional black/white differences by including a number of racial/ethnic groups.