The Experts below are selected from a list of 204 Experts worldwide ranked by ideXlab platform

Johanna Burton - One of the best experts on this subject based on the ideXlab platform.

Mary Moore - One of the best experts on this subject based on the ideXlab platform.

Allison Embry-saenz - One of the best experts on this subject based on the ideXlab platform.

Damon J Phillips - One of the best experts on this subject based on the ideXlab platform.

  • friends or strangers firm specific uncertainty market uncertainty and Network Partner selection
    Organization Science, 2004
    Co-Authors: Christine M Beckman, Pamela R Haunschild, Damon J Phillips
    Abstract:

    In this study, we address the topic of interorganizational Network change by exploring factors that affect the choice of alliance and interlock Partners. While many studies have been devoted to investigating various factors driving Network Partner choice, there is also an interesting and unexplored tension in this body of work. On the one hand, much work emphasizes change in social structure--showing that firms expand Networks by forming new relationships with new Partners. At the same time, other scholars emphasize stability of social structure--showing that firms tend to choose past exchange Partners. We seek to reconcile this tension by proposing that firms form new relationships with new Partners as a form of exploration, and form additional relationships with existing Partners as a form of exploitation (March 1991). Further, whether exploration or exploitation is chosen depends on the type of uncertainty that firms are facing: whether it is firm-specific or market-level uncertainty. We test our hypotheses using data on both interlock and alliance Networks for the 300 largest U.S. firms during the 1988-1993 period. The results provide some evidence that whether Networks are stable or changing depends on the type of uncertainty experienced by firms.

Manpreet Hora - One of the best experts on this subject based on the ideXlab platform.

  • the influence of supply Network structure on firm innovation
    Journal of Operations Management, 2014
    Co-Authors: Marcus A Bellamy, Soumen Ghosh, Manpreet Hora
    Abstract:

    In this study, we examine the structural characteristics of supply Networks and investigate the relationship between a firm's supply Network accessibility and interconnectedness and its innovation output. We also examine potential moderating effects of absorptive capacity and supply Network Partner innovativeness on innovation output. We hypothesize that firms will experience greater innovation output from (1) higher levels of supply Network accessibility and supply Network interconnectedness, (2) the interaction between the levels of these two structural characteristics, (3) the moderating role of absorptive capacity on supply Network accessibility and the moderating role of supply Network Partner innovativeness on supply Network interconnectedness. Supply Network Partner relationships are drawn in the context of the electronics industry using data from multiple sources. We use social Network analysis to create measures for each supply Network structural characteristic. Using regression techniques to test the relationship between these structural characteristics and firm innovation for a sample of 390 firms, our findings suggest that supply Network accessibility has a significant association with a firm's innovation output. The results also indicate that interconnected supply Networks strengthen the association between supply Network accessibility and innovation output. Moreover, the influence of the two structural characteristics on innovation output can be enhanced by a firm's absorptive capacity and level of supply Network Partner innovativeness. By addressing the need for deeper structural analysis, this study contributes to supply chain research by accounting for the embedded nature of ties in supply Networks, and showing how these structural characteristics influence the knowledge and information flows residing within a firm's supply Network.