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Featured researches published by Daniel J. Brass.


Science | 2009

Network Analysis in the Social Sciences

Stephen P. Borgatti; Ajay Mehra; Daniel J. Brass; Giuseppe Labianca

Over the past decade, there has been an explosion of interest in network research across the physical and social sciences. For social scientists, the theory of networks has been a gold mine, yielding explanations for social phenomena in a wide variety of disciplines from psychology to economics. Here, we review the kinds of things that social scientists have tried to explain using social network analysis and provide a nutshell description of the basic assumptions, goals, and explanatory mechanisms prevalent in the field. We hope to contribute to a dialogue among researchers from across the physical and social sciences who share a common interest in understanding the antecedents and consequences of network phenomena.


Administrative Science Quarterly | 1984

Being in the Right Place: A Structural Analysis of Individual Influence in an Organization

Daniel J. Brass

Daniel J. Brass This research examined the relationships between structural positions and influence at the individual level of analysis. The structure of the organization was conceptualized from a social network perspective. Measures of the relative positions of employees within workflow, communication, and friendship networks were strongly related to perceptions of influence by both supervisors and nonsupervisors and to promotions to the supervisory level. Measures included criticality, transaction alternatives, and centrality (access and control) in the networks and in such reference groups as the dominant coalition. A comparison of boundary-spanning and technical-core personnel indicated that contacts beyond the normal work requirements are particularly important for technical core personnel to acquire influence. Overall, the results provide support for a structural perspective on intraorganizational influence.


Administrative Science Quarterly | 1990

Changing Patterns or Patterns of Change: The Effects of a Change in Technology on Social Network Structure and Power

Marlene E. Burkhardt; Daniel J. Brass

Network Structure and Power Author(s): Marlene E. Burkhardt and Daniel J. Brass Source: Administrative Science Quarterly, Vol. 35, No. 1, Special Issue: Technology, Organizations, and Innovation (Mar., 1990), pp. 104-127 Published by: Sage Publications, Inc. on behalf of the Johnson Graduate School of Management, Cornell University Stable URL: http://www.jstor.org/stable/2393552 . Accessed: 12/11/2013 03:43


Academy of Management Review | 1995

Efficacy-Performance Spirals: A Multilevel Perspective

Dana H. Lindsley; Daniel J. Brass; James B. Thomas

This article explores the possibility of efficacy-performance spirals in individuals, groups, and organizations. Spirals are deviationamplifying loops in which the positive, cyclic relationship between perceived efficacy and performance builds upon itself. Collective efficacy is defined, and upward and downward spirals are considered. Evidence from multiple levels of analysis is presented, and factors affecting the occurrence, continuation, and stopping of spirals are proposed. In addition, we consider compositional and cross-level effects by proposing factors that will moderate the relationship between spirals at different levels of analysis. Overall, 15 propositions are presented as guidelines for future research.


The Academy of Management Annals | 2010

Organizational Social Network Research: Core Ideas and Key Debates

Martin Kilduff; Daniel J. Brass

Abstract Given the growing popularity of the social network perspective across diverse organizational subject areas, this review examines the coherence of the research tradition (in terms of leading ideas from which the diversity of new research derives) and appraises current directions and controversies. The leading ideas at the heart of the organizational social network research program include: an emphasis on relations between actors; the embeddedness of exchange in social relations; the assumption that dyadic relationships do not occur in isolation, but rather form a complex structural pattern of connectivity and cleavage beyond the dyad; and the belief that social network connections matter in terms of outcomes to both actors and groups of actors across a range of indicators. These leading ideas are articulated in current debates that center on issues of actor characteristics, agency, cognition, cooperation versus competition, and boundary specification. To complement the review, we provide a glossar...


Journal of Applied Psychology | 2006

Relational correlates of interpersonal citizenship behavior: a social network perspective.

Wm. Matthew Bowler; Daniel J. Brass

This study examines the role of social network ties in the performance and receipt of interpersonal citizenship behavior (ICB), one form of organizational citizenship behavior (OCB). A field study involving 141 employees of a manufacturing firm provided evidence that social network ties are related to the performance and receipt of ICB. Results support hypothesized relationships, which are based on social exchange theory, suggesting strength of friendship is related to performance and receipt of ICB. Support was also found for impression management-based hypotheses suggesting that asymmetric influence and 3rd-party influence are related to the performance and receipt of ICB. These relationships were significant when controlling for job satisfaction, commitment, procedural justice, hierarchical level, demographic similarity, and job similarity. Implications and directions for future research are addressed.


Administrative Science Quarterly | 1979

Employee Reactions to an Open-Plan Office: A Naturally Occurring Quasi-Experiment.

Greg R. Oldham; Daniel J. Brass

June 1979, volume 24 This research examines changes in reactions of employees to work after they moved from a conventional office to an open-plan office design (i.e., an office with no interior walls or partitions). Data were collected from 81 employees three times, once, before the move to the open-plan office and twice after the facility change. Results show that employee satisfaction and internal motivation decreased significantly after the move to the open office. Moreover, analyses suggest that changes in job characteristics that accompanied the change in facilities explain much of the decline in satisfaction and motivation. Implications of these results are discussed.


Organizational Behavior and Human Decision Processes | 1985

Technology and the structuring of jobs: Employee satisfaction, performance, and influence

Daniel J. Brass

Abstract This research investigated the relationships between technology, interdependence, job characteristics, and employee satisfaction, performance, and influence. Technology was operationalized at the individual level of analysis to include the dimensions of input uncertainty, conversion uncertainty, and output uncertainty. Pooled, sequential, and reciprocal interdependence was assessed. The results indicated that input and conversion uncertainty and interdependence were strongly related to such job characteristics as autonomy, skill variety, task identity, task significance, and task feedback. While the job characteristics related positively to employee satisfaction, input and conversion uncertainty related negatively to satisfaction, thus creating a mutual suppression effect. Although the uncertainty dimensions did not relate significantly to performance, there is some evidence that this negative relationship was being suppressed by the positive relationship between job characteristics and performance. Both the job characteristics and the technology dimensions related positively to influence. Results were discussed in terms of appropriate matches between technology and job characteristics.


Archive | 1999

Social Capital, Social Liabilities, and Social Resources Management

Daniel J. Brass; Giuseppe Labianca

This chapter explores the role of social capital in human resources management. We suggest that the recent interest in social capital has neglected the possibility that social networks may contain negative ties, and that attention to these social liabilities may provide additional insights into relationships and social networks in organizations. Research focusing on the antecedents and consequences of social networks in organizations is reviewed. We consider the effects of social capital and social liabilities on’ social’ resources management outcomes such as recruitment, selection, socialization, training, performance, career development, turnover, job satisfaction, power, and conflict.


Information Systems Research | 2012

The Effects of Social Network Structure on Enterprise Systems Success: A Longitudinal Multilevel Analysis

Sharath Sasidharan; Radhika Santhanam; Daniel J. Brass; Vallabh Sambamurthy

The implementation of enterprise systems has yielded mixed and unpredictable outcomes in organizations. Although the focus of prior research has been on training and individual self-efficacy as important enablers, we examine the roles that the social network structures of employees, and the organizational units where they work, play in influencing the postimplementation success. Data were gathered across several units within a large organization: immediately after the implementation, six months after the implementation, and one year after the implementation. Social network analysis was used to understand the effects of network structures, and hierarchical linear modeling was used to capture the multilevel effects at unit and individual levels. At the unit level of analysis, we found that centralized structures inhibit implementation success. At the individual level of analysis, employees with high in-degree and betweenness centrality reported high task impact and information quality. We also found a cross-level effect such that central employees in centralized units reported implementation success. This suggests that individual-level success can occur even within a unit structure that is detrimental to unit-level success. Our research has significant implications for the implementation of enterprise systems in large organizations.

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Ajay Mehra

University of Kentucky

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Martin Kilduff

University College London

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Barbara Gray

Pennsylvania State University

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Bruce C. Skaggs

University of Massachusetts Dartmouth

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