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Featured researches published by Jonathon N. Cummings.


Journal of Social Issues | 2002

Internet Paradox Revisited

Robert E. Kraut; Sara Kiesler; Bonka Boneva; Jonathon N. Cummings; Vicki S. Helgeson; Anne M. Crawford

Kraut et al. (1998) reported negative effects of using the Internet on social involvement and psychological well-being among new Internet users in 1995–96. We called the effects a “paradox” because participants used the Internet heavily for communication, which generally has positive effects. A 3-year follow-up of 208 of these respondents found that negative effects dissipated. We also report findings from a longitudinal survey in 1998–99 of 406 new computer and television purchasers. This sample generally experienced positive effects of using the Internet on communication, social involvement, and well-being. However, consistent with a “rich get richer” model, using the Internet predicted better outcomes for extraverts and those with more social support but worse outcomes for introverts and those with less support.


Management Science | 2004

Work Groups, Structural Diversity, and Knowledge Sharing in a Global Organization

Jonathon N. Cummings

Effective work groups engage in external knowledge sharing-the exchange of information, know-how, and feedback with customers, organizational experts, and others outside of the group. This paper argues that the value of external knowledge sharing increases when work groups are more structurally diverse. A structurally diverse work group is one in which the members, by virtue of their different organizational affiliations, roles, or positions, can expose the group to unique sources of knowledge. It is hypothesized that if members of structurally diverse work groups engage in external knowledge sharing, their performance will improve because of this active exchange of knowledge through unique external sources. A field study of 182 work groups in a Fortune 500 telecommunications firm operationalizes structural diversity as member differences in geographic locations, functional assignments, reporting managers, and business units, as indicated by corporate database records. External knowledge sharing was measured with group member surveys and performance was assessed using senior executive ratings. Ordered logit analyses showed that external knowledge sharing was more strongly associated with performance when work groups were more structurally diverse. Implications for theory and practice around the integration of work groups and social networks are addressed.


Academy of Management Journal | 2004

Tie and Network Correlates of Individual Performance in Knowledge-Intensive Work

Rob Cross; Jonathon N. Cummings

We argue that individual performance in knowledge-intensive work is associated with properties of both networks and ties. Relationships crossing organizational boundaries, physical barriers, or hie...


Communications of The ACM | 2002

The quality of online social relationships

Jonathon N. Cummings; Brian S. Butler; Robert E. Kraut

Online relationships are less valuable than offline ones. Indeed, their net benefit depends on whether they supplement or substitute for offline social relationships.


Social Studies of Science | 2005

Collaborative Research Across Disciplinary and Organizational Boundaries

Jonathon N. Cummings; Sara Kiesler

Scientific and engineering research increasingly involves multidisciplinary collaboration, sometimes across multiple organizations. Technological advances have made such cross-boundary projects possible, yet they can carry high coordination costs. This study investigated scientific collaboration across disciplinary and university boundaries to understand the need for coordination in these collaborations and how different levels of coordination predicted success. We conducted a study of 62 scientific collaborations supported by a program of the US National Science Foundation in 1998 and 1999. Projects with principal investigators (PIs) in more disciplines reported as many positive outcomes as did projects involving fewer disciplines. By contrast, multi-university, rather than multidisciplinary, projects were problematic. Projects with PIs from more universities were significantly less well coordinated and reported fewer positive outcomes than projects with PIs from fewer universities. Coordination mechanisms that brought distant researchers together physically slightly reduced the negative impact of collaborations involving multiple universities. We discuss implications for theory, practice, and policy.


Management Information Systems Quarterly | 2007

The spatial, temporal, and configurational characteristics of geographic dispersion in teams

Michael O'Leary; Jonathon N. Cummings

As organizations operate across greater distances, scholars are increasingly interested in the work of geographically dispersed teams and the technologies that they use to communicate and coordinate their work. However, research has generally not specified the dimensions (spatial, temporal, or configurational) and degrees of team dispersion, nor has it articulated the theoretical connections between those dimensions and important team outcomes. This research essay expands upon previous field and lab studies of dispersed teamwork by presenting a new conceptualization of dispersion as a continuous, multidimensional construct, in which each dimension is theoretically linked with different outcomes. We illustrate this new conceptualization with a series of examples from real dispersed teams and present implications for research regarding technology use.


Social Networks | 2003

Structural properties of work groups and their consequences for performance

Jonathon N. Cummings; Rob Cross

Abstract Over the past several decades, social network research has favored either ego-centric (e.g. employee) or bounded networks (e.g. organization) as the primary unit of analysis. This paper revitalizes a focus on the work group, which includes structural properties of both its individual members and the collection as a whole. In a study of 182 work groups in a global organization, we found that structural holes of leaders within groups as well as core-periphery and hierarchical group structures were negatively associated with performance. We show that these effects hold even after controlling for mean levels of group communication, and discuss implications for the future of network analysis in work groups and informal organizations.


Journal of Management Information Systems | 2003

Team Boundary Issues Across Multiple Global Firms

J. Alberto Espinosa; Jonathon N. Cummings; Jeanne M. Wilson; Brandi M. Pearce

Numerous methodological issues arise when studying teams that span multiple boundaries. The main purpose of this paper is to raise awareness about the challenges of conducting field research on teams in global firms. Based on field research across multiple firms (software development, product development, financial services, and high technology), we outline five types of boundaries that we encountered in our field research (geographical, functional, temporal, identity, and organizational)and discuss methodological issues in distinguishing the effects of one boundary where multiple boundaries exist. We suggest that it is important to: (1) appropriately measure the boundary of interest to the study, (2) assess and control for other influential boundaries within and across teams, and (3)distinguish the effects of each boundary on each team outcome of interest. Only through careful attention to methodology can we properly assess the effects of team boundaries and appreciate their research and practical implications for designing and using information systems to support collaborative work.Numerous methodological issues arise when studying teams that span multiple boundaries. The main purpose of this paper is to raise awareness about the challenges of conducting field research on teams in global firms. Based on field research across multiple firms (software development, product development, financial services, and high technology), we outline five types of boundaries that we encountered in our field research (geographical, functional, temporal, identity, and organizational)and discuss methodological issues in distinguishing the effects of one boundary where multiple boundaries exist. We suggest that it is important to: (1) appropriately measure the boundary of interest to the study, (2) assess and control for other influential boundaries within and across teams, and (3)distinguish the effects of each boundary on each team outcome of interest. Only through careful attention to methodology can we properly assess the effects of team boundaries and appreciate their research and practical implications for designing and using information systems to support collaborative work.


Group Dynamics: Theory, Research, and Practice | 2002

Beyond hearing: Where the real-world and online support meet.

Jonathon N. Cummings; Lee Sproull; Sara Kiesler

A random sample survey of an online self-help group for people with hearing loss was conducted. Two factors predicted active participation in the group: a lack of real-world social support and being comparatively effective (having less disability, coping more effectively, and using real-world professional services). More active participation in the group was associated with more benefits from the group and stronger reports of community orientation. The authors also found evidence that integration of online and real-world support (if it existed) benefited participants. That is, if supportive family and friends in the real world shared the online group with participants, participants reported above average benefits, whereas if supportive family and friends were uninvolved in the online group, participants reported below average benefits.


Organizational Research Methods | 2003

Multiple Imputation for Missing Data: Making the most of What you Know

Mark Fichman; Jonathon N. Cummings

Missing data are a common problem in organizational research. Missing data can occur due to attrition in a longitudinal study or nonresponse to questionnaire items in a laboratory or field setting. Improper treatments of missing data (e.g., listwise deletion, mean imputation) can lead to biased statistical inference using complete case analysis statistical techniques. This article presents a simulation and data analysis case study using a method for dealing with missing data, multiple imputation, that allows for valid statistical inference with complete case statistical analysis. Software for implementing multiple imputation under a multivariate normal model is freely and widely available (e.g., NORM, SAS, SOLAS). It should be routinely considered for imputing missing data. The authors illustrate the application of this technique using data from the HomeNet project.

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Sara Kiesler

Carnegie Mellon University

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Robert E. Kraut

Carnegie Mellon University

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Irina Shklovski

IT University of Copenhagen

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Andrew M. Carton

University of Pennsylvania

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Martine R. Haas

University of Pennsylvania

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Bonka Boneva

Carnegie Mellon University

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