Individual performance in distributed design groups

Carley, Kathleen M.; Galletta, Dennis F.

doi:10.1145/268820.268881

Cited by 11 publications

(7 citation statements)

References 20 publications

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“…As a result, studies on how people coordinate through communication, informationseeking and knowledge transfer have grown rapidly in past years [8,22]. The socio-technical significance of the relationship between technology, human action and recently, social structure is becoming important for exploring coordination process in organisations [2,29,32]. However, empirical research on determinants of coordination for organisational information environments is still not prominent.…”

Section: Introductionmentioning

confidence: 99%

“…Thirdly, the dataset allows for content, attribute and social network data analysis. Finally, the corpus appeal to researchers who have adopted social networks approach to explore organisational design-performance [1,2]. After developing our contextual model, we developed a text-mining application in order to extract key phrases and text to calculate the coordination score for each actor involved in the project.…”

Section: Introductionmentioning

confidence: 99%

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Actor centrality correlates to project based coordination

Hossain

Chung

2006

Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work

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In this study, we draw on network centrality concepts and coordination theory to understand how project team members interact when working towards a common goal. A text-mining application based on the constructs of coordination theory was developed to measure the coordinative activity of each employee. Results show that high network centrality is correlated with the ability of an actor to coordinate actions of others in a project group. Furthermore, highly centralised actors coordinate better than others. In conclusion, we suggest implications of appropriate network structure for supporting organisational coordination more effectively and efficiently.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Actor centrality correlates to project based coordination

Hossain

Chung

2006

Proceedings of the 2006 20th Anniversary Conference on Computer Supported Cooperative Work

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Section: Datamentioning

confidence: 99%

Exponential random graph modeling of communication networks to understand organizational crisis

Hamra

Uddin

Hossain

2011

Proceedings of the 49th SIGMIS Annual Conference on Computer Personnel Research

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In recent social network studies, exponential random graph models have been used comprehensively to model global social network structure as a function of their local features. In this study, we describe the exponential random graph models and demonstrate its use in modeling the changing communication network structure at Enron Corporation during the period of its disintegration. We illustrate the modeling on communication networks and provide a new way of classifying networks and their performance based on the occurrence of their local features. Among several micro-level structures of exponential random graph models, we found significant variation in the appearance of A2P (Alternating k-two-paths) network structure in the communication network during crisis period and non-crisis period. This finding could also be used in analyzing communication networks of dynamic project groups and their adaptation process during crisis which could lead to an improved understanding how communications network evolve and adapt during crisis.

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“…Though distributed work has a long history (e.g., [45]), advances in information and communication technologies have been crucial enablers for recent developments of this organizational form [1]. Distributed teams seem particularly attractive for software development because the software source code and other artifacts can be shared via the same systems used to support team interactions [44,50].…”

Section: The Challenges Of Distributed Software Developmentmentioning

confidence: 99%

“…Much though not all of this software is also "free software", meaning that derivative works must be made available under the same unrestrictive license terms ("free as in speech", thus "libre"). Characterized by a globally distributed developer force and a rapid and reliable software development process, eVective FLOSS development teams 1 The free software movement and the open source movement are distinct and have diVerent philosophies but mostly common practices. The licenses they use allow users to obtain and distribute the software's original source code, to redistribute the software, and to publish modiWed versions as source code and in executable form.…”

Section: Introductionmentioning

confidence: 99%