The Effect of Alliance Block Membership on Innovative Performance

Alliance, membership, Innovation, performance

Distress in couples coping with cancer: A meta-analysis and critical review of role and gender effects

Research concerning distress in couples coping with cancer was integrated using meta-analysis and narrative critical appraisal. Individual levels of distress were determined more by gender than by the role of being the person with cancer versus that person's partner. That is, women reported consistently more distress than men regardless of their role (standardized mean difference = 0.31). The association between patient and partner distress within couples was only moderate (r = .29) but is sufficient to warrant further consideration of the notion that these couples react as an emotional system rather than as individuals. It is noteworthy that this association is not moderated by gender. With a general lack of comparison groups, the question of how much distress can be ascribed to the cancer experience cannot be answered decisively; elevations in distress are probably modest. We critically discuss these results, identify important unanswered questions, and indicate directions for future research. Attention needs to be directed toward factors other than cancer as direct influences of distress in these couples and to mediators and moderators of the cancer experience. (PsycINFO Database Record (c) 2008 APA, all rights reserved)

The gloomy side of embeddedness: The effects of overembeddedness on inter-firm partnership formation

We discuss the ‘gloomy’ side of firms’ embeddedness in networks of inter-firm partnerships. We propose a nested understanding of the effects of three levels of overembeddedness – environmental, inter-organizational and dyadic overembeddedness – on subsequent inter-firm partnership formation and argue for a joint examination of these three levels and their interactions over time. As a whole, increases in firms’ embeddedness will generate decreasing returns to the firms involved, prompting (i) the search for and attachment to novel partners and (ii) the dissolution of extant partnerships. On the flipside, overembeddedness thus sparks network evolution – by cueing firms to look beyond their embedded partnerships

The effect of alliance block membership on innovative performance

This paper longitudinally explores the technology positioning strategies, i.e. block membership or non-block membership, in interorganizational networks that maximize innovative performance. Hence, we will derive some basic propositions on the effect of block membership on innovative performance under various network evolutionary conditions, i.e. structure reinforcing or structure-loosening developments in the industry. Empirical testing is performed on the microelectronics industry from 1980-2000

The effect of alliance block membership on innovative performance

This paper longitudinally explores the technology positioning strategies, i.e. block membership or non-block membership, in interorganizational networks that maximize innovative performance. Hence, we will derive some basic propositions on the effect of block membership on innovative performance under various network evolutionary conditions, i.e. structure reinforcing or structure-loosening developments in the industry. Empirical testing is performed on the microelectronics industry from 1980-2000

Learning horizon and optimal alliance formation

We develop a theoretical Bayesian learning model to examine how a firm’s learning horizon, defined as the maximum distance in a network of alliances across which the firm learns from other firms, conditions its optimal number of direct alliance partners under technological uncertainty. We compare theoretical optima for a ‘close’ learning horizon, where a firm learns only from direct alliance partners, and a ‘distant’ learning horizon, where a firm learns both from direct and indirect alliance partners. Our theory implies that in high tech industries, a distant learning horizon allows a firm to substitute indirect for direct partners, while in low tech industries indirect partners complement direct partners. Moreover, in high tech industries, optimal alliance formation is less sensitive to changes in structural model parameters when a firm’s learning horizon is distant rather than close. Our contribution lies in offering a formal theory of the role of indirect partners in optimal alliance portfolio design that generates normative propositions amenable to future empirical refutation