Relational collaboration among spatial multipoint competitors

The presence of network ties between multipoint competitors is frequently assumed but rarely examined directly. The outcomes of multipoint competition, therefore, are better understood than their underlying relational mechanisms. Using original fieldwork and data that we have collected on an interorganizational network of patient transfer relations within a regional community of hospitals, we report and interpret estimates of Exponential Random Graph Models (ERGM) that specify the probability of observing network ties between organizations as a function of the degree of their spatial multipoint contact. We find that hospitals competing more intensely for patients across multiple geographical segments of their market (spatial multipoint competitors) are significantly more likely to collaborate. This conclusion is robust to alternative explanations for the formation of network ties based on organizational size differences, resource complementarities, performance differentials, and capacity constraints. We show that interorganizational networks between spatial multipoint competitors are characterized by clear tendencies toward clustering and a global core-periphery structure arising as consequences of multiple mechanisms of triadic closure operating simultaneously. We conclude that the effects of competition on the structure of interorganizational fields depends on how markets as physical and social settings are connected by cross-cutting network ties between competitors.     

Network effects on organizational decision-making: Blended social mechanisms and IPO withdrawal

This paper develops a new approach to the study of network effects in organizations and markets by proposing that structural influences on social and economic action result from contingent blends of well-understood social mechanisms. We emphasize the interplay of three different network processes: resource and information transfer, status signaling and certification, and social influence. Different mixes of these mechanisms characterize disparate networks because the obligations imposed by ties and the capacities of partners result in situations where mechanisms amplify or diminish one another. We test hypotheses about mechanism interactions using four years (1997–2000) of data on high-technology IPOs that situate organizational decisions about whether to withdraw an offering in two distinct networks. We find that network mechanisms exert multiple moderating effects on one another and that those effects vary systematically across venture capital syndicate and director interlock networks. These findings help to explain why different networks exert disparate effects, why the effects of some structures change as their larger contexts shift, and why even very successful organizations can sometimes find themselves hamstrung by their connections.     

Exponential random graph models for multilevel networks

Modern multilevel analysis, whereby outcomes of individuals within groups take into account group membership, has been accompanied by impressive theoretical development (e.g. Kozlowski and Klein, 2000) and sophisticated methodology (e.g. Snijders and Bosker, 2012). But typically the approach assumes that links between groups are non-existent, and interdependence among the individuals derives solely from common group membership. It is not plausible that such groups have no internal structure nor they have no links between each other. Networks provide a more complex representation of interdependence. Drawing on a small but crucial body of existing work, we present a general formulation of a multilevel network structure. We extend exponential random graph models (ERGMs) to multilevel networks, and investigate the properties of the proposed models using simulations which show that even very simple meso effects can create structure at one or both levels. We use an empirical example of a collaboration network about French cancer research elites and their affiliations (0125 and 0120) to demonstrate that a full understanding of the network structure requires the cross-level parameters. We see these as the first steps in a full elaboration for general multilevel network analysis using ERGMs.     

Organizational impact on psychosocial working conditions

Using a multilevel approach, this study explores how job demands and control are dependent on the organizational context in which work is performed. The data set consisted of 3,485 employees at 51 establishments divided into 141 sub-units and belonging to 10 parent organizations. Data were collected by means of a survey answered by the employees and structured interviews conducted with operative managers at participating establishments. The results showed that a significant proportion of the variance in job demands and control was attributed to the organization, and that the three organizational levels varied in terms of their impact on the two psychosocial dimensions. More specifically, job demands were mostly affected by the establishment level, while the sub-unit level seemed to be the most important for job control. It is concluded that in studies of working conditions, the organizational context should be considered.     

Staying connected under fire: Effects of individual roles and organizational specialization on the robustness of emergency-phase communication networks

Communication network connectivity is central to organizational performance, but maintaining connectivity can be difficult during periods of disruption. During the World Trade Center (WTC) disaster of September 11th, 2001, both emergency response-specialized organizations and organizations without such specialization forcibly adapted to a radically altered environment. Their dynamic communication networks necessarily entailed trade-offs between competing demands for efficiency and robustness to disruption. Of particular importance is whether organizations concentrated activity within a small number of “hub” nodes, and whether those with existing coordinative roles were critical to maintaining connectivity. We examine these questions by analyzing seventeen organizational communication networks in the WTC disaster. We find that organizations maintain connectivity through relatively small numbers of coordinators, but the realization of institutionalized coordinative roles depends upon organizational context. Further, we find distinct patterns of robustness, with the removal of key players leading to mass isolation in specialist networks versus a gradual pattern of failure in non-specialist networks. These results suggest that organizations responding to disruptions within their usual domain of operations will be more likely to retain institutionalized roles when building emergent networks, although this increases the network's fragility in the event of the loss of one of those coordinators. Organizations responding to novel threats may reconfigure more radically, limiting vulnerability to the loss of institutionalized—but not emergent—coordinators.     

Multilevel embeddedness: The case of the global fisheries governance complex

This paper explores how bilateral and multilateral clustering are embedded in a multilevel system of interdependent networks. We argue that in complex systems in which bilateral and multilateral relations are themselves interrelated, such as global fisheries governance, embeddedness cannot be reduced to unipartite or bipartite clustering but implicates multilevel closure. We elaborate expectations for ties’ multilevel embeddedness based on network theory and substantive considerations and explore them using a multilevel ERGM. We find states’ bilateral ties are embedded in their shared membership in multilateral fisheries agreements, which is itself clustered around foci represented by similar content and treaty secretariats.     

Beyond Cans and Capacity

Many essential public services are provided through networks of community‐based nonprofit organizations. Previous research has demonstrated that simply providing additional resources to these organizations is insufficient to better address demands for public services. We also know little about how and why these organizations adopt network‐level objectives related to service provision. In this analysis, we expand the focus of service provision beyond capacity to incorporate the unique roles that define the very existence of nonprofit organizations, and how these roles affect organizational behavior with respect to service network objectives. We use focus group, survey, and administrative data from one hundred community‐based nonprofit organizations in an emergency food service network to explore the relationships among capacity, roles, and specific program objectives.     

Multiple Public Service Performance Indicators: Toward an Integrated Statistical Approach

Public service organizations usually produce multiple outputs,measured on different scales, giving rise to a suite of performanceindicators. The traditional approach to statistical analysisof organizational performance has been to develop a separateregression model for each performance indicator. This piecemealapproach, the article argues, may discard valuable information,as it ignores potentially important relationships between individualperformance measures. We therefore propose modeling an organization'sperformance measures simultaneously, using the methods of seeminglyunrelated regressions. The approach implicitly introduces alatent organizational variable into the regressions and maytherefore economize on the need to assemble explicit measuresof organizational characteristics. The method is illustratedusing an example from English public hospitals.     

Prominence in a Network of Communication: Work Relations in a Children's Psychiatric Hospital*

Colleague consultation in professional organizations is both important and commonplace. One consequence of consultation is that some individuals acquire more prominence than others in the work contact networks. The literature suggests that variation in prominence depends on personal characteristics, such as occupation, education, ascribed traits, and activities both inside and outside the organization. Using sociometric data for the staff members of a psychiatric hospital for children, various hypotheses dealing with the effects of personal attributes are examined. An alternative explanation is that social relations within and between organizational subunits influence the likelihood that subunit members will be prominent in the hospital-wide communication network. The analysis indicates that these subunit relations have direct effects on prominence and also mediate the effects of certain personal characteristics.     

Organizational Variation in Formal Equal Employment Opportunity Structures1

This article identifies the factors associated with variation in the complexity of formal equal employment opportunity (EEO) structures across a sample of Washington and Oregon hospitals. Understanding such variation provides insight into two key organizational processes: commitment to workplace equality and response to external pressures for equality. We draw on Oliver’s (1991) organizational strategic response theory to document the extent to which a hospital’s patient demographics, legal regulation, economic sector, geographic location, and health system membership are related to complexity in the level of a hospital’s formal EEO structures. Findings from ordered logistic regression analyses demonstrate that the presence of a nurse union and federal regulation of a hospital by the Equal Employment Opportunity Commission (EEOC) are associated with less complex EEO structures. Meanwhile, urbanization is associated with more complex EEO structures. We discuss implications of these results for research and policy and offer the beginnings of a general theory of organizational variation.     

Analysing networks of networks

We consider data with multiple observations or reports on a network in the case when these networks themselves are connected through some form of network ties. We could take the example of a cognitive social structure where there is another type of tie connecting the actors that provide the reports; or the study of interpersonal spillover effects from one cultural domain to another facilitated by the social ties. Another example is when the individual semantic structures are represented as semantic networks of a group of actors and connected through these actors’ social ties to constitute knowledge of a social group. How to jointly represent the two types of networks is not trivial as the layers and not the nodes of the layers of the reported networks are coupled through a network on the reports. We propose to transform the different multiple networks using line graphs, where actors are affiliated with ties represented as nodes, and represent the totality of the different types of ties as a multilevel network. This affords studying the associations between the social network and the reports as well as the alignment of the reports to a criterion graph. We illustrate how the procedure can be applied to studying the social construction of knowledge in local flood management groups. Here we use multilevel exponential random graph models but the representation also lends itself to stochastic actor-oriented models, multilevel blockmodels, and any model capable of handling multilevel networks.     

Transnational Movement Innovation and Collaboration: Analysis of World Social Forum Networks

In this article we first trace the ideological development and collective framing of the World Social Forum (WSF) as a non-hierarchical gathering for collaboration and networking within the global justice movement. We then analyze the consequences of organizational design, thematic resonance, and technological innovations implemented to produce more open and horizontal collaboration. We do this by conducting two-mode network analysis of organizations that facilitated sessions and workshops during two separate meetings (2003 and 2005) of the WSF in Porto Alegre, Brazil. Our findings indicate that organizational affiliations were less hierarchical in 2005, but we uncover mixed results from analyzing patterns of interaction produced by individual organizations and groups of organizations. Finally, we discuss the implications of such macro-level innovations on the dynamics of multi-organizational fields (collaboration, coalition building, and thematic resonance) and the contributions of such an approach to the study of transnational organizational networks.     

Confidentiality,power relations and evaluation of potential harm in the study of the personal and organizational networks of travel agents in Moscow

Network research in organizational contexts faces ethical challenges related to revealing the identity of participants, managing power relations, and managing the interests and potential harms of the different stakeholders. In this article, we review the ethical issues associated with the investigation of the personal and organizational networks of travel agents in Moscow. In our case study, we interviewed 32 tourism agents from Moscow and its region, obtaining information on 45 people with whom they have regular relation as part of their work; and relational data, with a 2-mode matrix, on 15 organizations with which the agency could be linked in the Russian-Andalusian tourism market. Our results highlight the utility of presenting the information of personal networks in an aggregate manner. It also demonstrates the value of cultural adaptation strategies and adjustment to the characteristics of the community. Moreover, the central role of power relations in organizations, within a cultural context with a greater distance to authority was also found.     

Social capital exchanges in voluntary associations and work organizations: A network perspective

Organizations have been an important setting in which social capital exchanges (SCEs) occur, but little work has been done to distinguish two predominant species of organizations in the social network literature: voluntary associations and formal work organizations. Addressing this lacuna, this article comparatively examines how the two organizational species differ in (1) how two prominent types of SCEs operate (restricted and generalized exchange), as well as (2) the analytical approaches and methodological tools for studying SCEs (boundary-specification, sampling, network designs, tie-recording methods) and their adherent implications for network structure (networking conditions and homophily). This article concludes by identifying methodological and theoretical challenges for studying SCEs in organizations (conceptualizing organizations as units, underappreciating meaning-making and methodological triangulation, and examining contagion in organizational networks in an age of digitalization) and developing recommendations for overcoming them.     

Mapping the structures of international communication organizations’ networks and cross-sector relationships on social media and exploring their antecedents

Grounded in the theoretical frameworks of the alliance theory and the collective action theory, this study examines the global network structures of international non-governmental organizations (INGOs) and intergovernmental organizations (IGOs) and their cross-sector relationships on social media and explains the predictors of the relationships. More specifically, we conduct a network analysis to examine the network structure of international communication organizations and their cross-sector relationships on Twitter. This study found that INGOs and IGOs are more likely to establish following relationships on Twitter with the same type of organizations. Furthermore, educational level and cultural context influence their cross-sector relationships. The theoretical and practical implications of this study are also discussed.     

Old friends and new acquaintances: Tie formation mechanisms in an interorganizational network generated by employee mobility

This study investigates mechanisms of tie formation in an interorganizational network generated by the mobility of employees between organizations. We analyze a data set that contains information on all organizations in the Stockholm metropolitan area between 1990 and 2003. We show that the formation of new ties is contingent upon the direction of past ties, and that most connections occur at an intermediate geodesic distance of 2 and 3. The findings highlight the importance of tie direction and indirect connections in research on network dynamics and knowledge exchanges stemming from the mobility of employees across organizations.     

One-mode projection analysis and design of covert affiliation networks

Within the field of national security and counterterrorism a great need exists to understand covert organizations. To better understand these cellular structures we model and analyze these cells as a collection of subsets of all participants in the covert organization, i.e., as hypergraphs or affiliation networks. Such a covert affiliation network structure is analyzed by evaluating the one-mode projection of the corresponding hypergraph. First we provide a characterization of the total distance in the one-mode projection using its corresponding cell-shrunken version. Secondly we evaluate the one-mode projection with respect to the secrecy versus information tradeoff dilemma every covert organization has to solve. We present and analyze affiliation networks representing common covert organizational forms: star, path and semi-complete hypergraphs. In addition we evaluate an example of a covert organization wishing to conduct an attack and compare its performance to that of the common covert organizational forms. Finally we investigate affiliation networks that are optimal in the sense of balancing secrecy and information. We show how any affiliation tree can be improved by altering its structure. Finally we prove that among covert organizational forms in the class of hypertrees with the same number of cells uniform star affiliation networks are optimal.     

Emergent stakeholders: Using multi-stakeholder issue networks to gain legitimacy in corporate networks

Multi-stakeholder issue networks (MSINs) are models of cross-sector cooperation dedicated to resolving a specific issue. Research to date has not demonstrated the reasons for collaboration (Sun et al., 2021). This paper merges public relations and organizational communication scholarship to theorize that MSINs are one way that marginalized groups achieve salience in corporate networks. Stakeholder salience theory (SST) states that corporations balance stakeholder claims using a manager-defined calculus of legitimacy, urgency, and power. Because these attributes are defined by managers in relation to corporate interests, corporations deny legitimacy to historically, socially, and geographically marginalized groups. MSINs that emerge to highlight the needs of these marginalized groups decenter corporations by constraining corporations’ ability to ignore the needs of groups previously dismissed as nonstakeholders. As MSINs become more active within the corporate ecology, they further limit corporate activity and encourage management to not only to see the legitimacy, urgency, and power of emergent stakeholder claims, but to act upon them. Examples in case-based studies illustrate the emergent stakeholder concept.     

The institutional antecedent to firms’ interorganizational network portfolios: Evidence from China

Although the amount of research on interorganizational networks has increased significantly in recent years, few studies have examined the antecedents to interorganizational network portfolios—organizations’ configuration of their relationship networks with other organizations. To address this gap, this study examines how firms’ interorganizational network portfolios vary across three types of ownership structures (i.e., state-owned, private, and multinational enterprises) in China. Cluster analysis of the data on 212 leading firms operating in China revealed two types of network portfolios firms maintain. Specifically, firms maintaining robust cross-sector portfolios had more extensive networks with organizations in the nonprofit and public sectors than firms maintaining limited cross-sector portfolios. Moreover, regression results suggested that firms across different ownership structures had distinct numbers and types of organizational partners, particularly nongovernmental organization (NGO) partners. Theoretical and practical implications are derived from the findings.     

Latino Faces,Corporate Ties: Latino Advocacy Organizations and Their Board Membership

Although they have increased exponentially since the 1960s, social scientists know little about ethnic advocacy organizations. These nonprofits are important bridges between underresourced communities and mainstream funding organizations and their directors are established ethnic leaders. Sociologists study interlocking directorates—or shared board membership—to understand how organizations fit together within broader social networks. Network concepts, particularly the theory of institutional isomorphism, suggest that organizations are likely to be similar to the extent they are connected and operate within a common organizational field. We apply this logic to Latino advocacy organizations to examine the underlying source of cohesion across this ethnic field. We ask whether the organizations are tied by interlocking directorates of ethnic elites who sit on their boards of directors or if board members' common affiliation with other elite institutions creates the structural conditions that facilitate potential ideological or behavioral similarity. A social network analysis of five prominent Latino advocacy organizations reveals support for both hypotheses: Latino board members are both embedded in ethnic‐based networks and entrenched within elite organizational webs. This suggests that ethnic elites who sit on the boards of Latino advocacy organizations are also corporate elites, selected for the social capital they bring to these nonprofits.