The embeddedness of organizational performance: Multiple Membership Multiple Classification Models for the analysis of multilevel networks

Abstract

Tranmer, M., Pallotti, F., and Lomi, A. (2016) The embeddedness of organizational performance: multiple membership multiple classification models for the analysis of multilevel networks. Social Networks, 44, There may be differences between this version and the published version. You are advised to consult the publisher's version if you wish to cite from it.http://eprints.gla.ac.uk/122367/ hospitals (higher-level, elective transfers), and between EDs and hospitals (cross-level, nonemergency transfers). Our main analytical objective is to examine the effect of these interdependent and partially nested levels of action on the variation in waiting time among EDsone of the most commonly adopted and accepted measures of ED performance. After controlling for institutional and organizational differences between hospitals, we find that the largest component of network variation in patient waiting-time is accounted for at the level of the hospital-to-hospital patient transfers. We take this result as clear evidence of the presence of multilevel network effects on organizational sub-unit performance. We also find that EDs connected by direct patient transfer relations tend to attain similar levels of performance. We interpret this performance spillover effect as evidence that collaborative network relations afford and sustain processes of interorganizational learning and knowledge transfer at the sub-unit level. We discuss further extensions to the model for more general analyses of multilevel network dependencies.

Omission and commission errors in network cognition and network estimation using ROC curve

“…Using RTM, it is possible to incorporate network data collection to random survey studies covering multiple organizations. Likewise more scholars are recognizing the need to study organization networks at multiple levels (Brass et al 2004;Zappa and Lomi, 2015;Tranmer et al, 2016), however, data collection requirements are extremely demanding for studying inter-organizational and intra-organization networks simultaneously. RTM provides a convenient approach to meet data requirements for multi level organization research as well.…”

Scholars’ Identity Transition and Its Impact on Spin-Offs’ R&D Input

“…That is to say, scholars are influenced by the strong social relations and reciprocity standards and have a sense of obligation to the academic community. A number of studies have shown that strong social embeddedness negatively affects the establishment of a firm's new social tie and access to information [25,26]. Secondly, scholars with higher role embeddedness are cognitively locked [27].…”

“…Role embeddedness (Embed). Embeddedness itself is a concept in the social network literature, which means the behavior and institutions are constrained by ongoing social relations [26,52]. It measures the centrality of the individual in the network.…”

Embarked on social processes (the rivers) in dynamic and multilevel networks (the boats)

“…Each level is context for the other. Statistical models helping explore the emergence and determinants of such structures are provided, for example, by Snijders and Bosker (2012), Koskinen et al (2017), Wang et al (2013Wang et al ( , 2016, Žiberna (2014), Žiberna and Lazega (2016), Zappa and Lomi (2015), Tranmer et al (2016). Today I would like to report some of our explorations of how these multilevel dynamics work, based on datasets following this linked design.…”