How and When Socially Entrepreneurial Nonprofit Organizations Benefit From Adopting Social Alliance Management Routines to Manage Social Alliances?

Social alliance is defined as the collaboration between for-profit and nonprofit organizations. Building on the insights derived from the resource-based theory, we develop a conceptual framework to explain how socially entrepreneurial nonprofit organizations (SENPOs) can improve their social alliance performance by adopting strategic alliance management routines. We test our framework using the data collected from 203 UK-based SENPOs in the context of cause-related marketing campaign-derived social alliances. Our results confirm a positive relationship between social alliance management routines and social alliance performance. We also find that relational mechanisms, such as mutual trust, relational embeddedness, and relational commitment, mediate the relationship between social alliance management routines and social alliance performance. Moreover, our findings suggest that different types of social alliance motivation can influence the impact of social alliance management routines on different types of the relational mechanisms. In general, we demonstrate that SENPOs can benefit from adopting social alliance management routines and, in addition, highlight how and when the social alliance management routines–social alliance performance relationship might be shaped. Our study offers important academic and managerial implications, and points out future research directions

Dominating Opponent Inhibition of On and Off Pathways for Robust Contrast Detection

. Recently, we have developed a nonlinear circuit for oriented contrast detection, which is motivated by main architectural stages in mammalian visual system. In this work we examine how on- and offcontrast are combined before feeding into the nonlinear circuit. We propose a mechanism of dominating opponent inhibition (DOI), where each pathway receives stronger weighted inhibitory input from the opponent domain. We employ an analysis of a simplified circuit accompanied by simulations with systematic parameter variations. Results show that DOI makes the circuit robust to noise, largely independent of the amount of noise added. Finally, we demonstrate the capabilities of the model by processing synthetic as well as natural images. Results are compared to a linear circuit, equivalent to a first order Gaussian derivative and to the nonlinear model without DOI, showing that the new circuit largely suppresses spurious noise, while remaining sensitive to contrast variation at edges. DAGM '99..

The metazoan atac and saga coactivator hat complexes regulate different sets of inducible target genes

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