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Emergent leadership in virtual collaboration settings: a social network analysis approach

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Emergent leadership in virtual collaboration settings: a social network analysis approach. / Sutanto, Juliana; Tan, Chuan Hoo; Battistini, Boris et al.
In: Long Range Planning, Vol. 44, No. 5-6, 10.2011, p. 421-439.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

Harvard

Sutanto, J, Tan, CH, Battistini, B & Phang, CW 2011, 'Emergent leadership in virtual collaboration settings: a social network analysis approach', Long Range Planning, vol. 44, no. 5-6, pp. 421-439. https://doi.org/10.1016/j.lrp.2011.09.001

APA

Sutanto, J., Tan, C. H., Battistini, B., & Phang, C. W. (2011). Emergent leadership in virtual collaboration settings: a social network analysis approach. Long Range Planning, 44(5-6), 421-439. https://doi.org/10.1016/j.lrp.2011.09.001

Vancouver

Sutanto J, Tan CH, Battistini B, Phang CW. Emergent leadership in virtual collaboration settings: a social network analysis approach. Long Range Planning. 2011 Oct;44(5-6):421-439. Epub 2011 Sept 23. doi: 10.1016/j.lrp.2011.09.001

Author

Sutanto, Juliana ; Tan, Chuan Hoo ; Battistini, Boris et al. / Emergent leadership in virtual collaboration settings : a social network analysis approach. In: Long Range Planning. 2011 ; Vol. 44, No. 5-6. pp. 421-439.

Bibtex

@article{d0699c88ff2947cca88ce4e7af1108c5,
title = "Emergent leadership in virtual collaboration settings: a social network analysis approach",
abstract = "Social software systems, such as virtual-worlds and chatrooms, present immense opportunities for companies today, allowing them leverage these systems to exploit the diverse knowledge and intelligence of their members and business associates, and thus respond more effectively in their increasingly competitive markets. This study seeks to advance our systematic understanding of the use of social software systems for knowledge-sharing practices in project work contexts, by attempting to identify and understand how leadership emerges in virtual collaboration settings to organize participants{\textquoteright} interactions for effective outcomes. Two social software systems for virtual collaborations - one emergent (i.e., the Second Life {\textquoteleft}virtual world{\textquoteright}) and another widely adopted (i.e., the text-based chatroom discussion system) -were examined via a series of empirical investigations employing hybrid research methodologies that entailed survey questionnaires within a set of field-based quasi experiments. Based on social network analysis results, we observed that the patterning of interactions i.e., the structure of a social network, is a significant predictor of a person being perceived as a leader by other virtual collaborators. The results show that the most effective emergent leaders are those who primarily assume a mediating rather than directing or monitoring roles during virtual collaborations, and that this is consistent across the two social software systems investigated. Implications for research and practice are discussed.",
author = "Juliana Sutanto and Tan, {Chuan Hoo} and Boris Battistini and Phang, {Chee Wei}",
year = "2011",
month = oct,
doi = "10.1016/j.lrp.2011.09.001",
language = "English",
volume = "44",
pages = "421--439",
journal = "Long Range Planning",
issn = "0024-6301",
publisher = "ELSEVIER SCI LTD",
number = "5-6",

}

RIS

TY - JOUR

T1 - Emergent leadership in virtual collaboration settings

T2 - a social network analysis approach

AU - Sutanto, Juliana

AU - Tan, Chuan Hoo

AU - Battistini, Boris

AU - Phang, Chee Wei

PY - 2011/10

Y1 - 2011/10

N2 - Social software systems, such as virtual-worlds and chatrooms, present immense opportunities for companies today, allowing them leverage these systems to exploit the diverse knowledge and intelligence of their members and business associates, and thus respond more effectively in their increasingly competitive markets. This study seeks to advance our systematic understanding of the use of social software systems for knowledge-sharing practices in project work contexts, by attempting to identify and understand how leadership emerges in virtual collaboration settings to organize participants’ interactions for effective outcomes. Two social software systems for virtual collaborations - one emergent (i.e., the Second Life ‘virtual world’) and another widely adopted (i.e., the text-based chatroom discussion system) -were examined via a series of empirical investigations employing hybrid research methodologies that entailed survey questionnaires within a set of field-based quasi experiments. Based on social network analysis results, we observed that the patterning of interactions i.e., the structure of a social network, is a significant predictor of a person being perceived as a leader by other virtual collaborators. The results show that the most effective emergent leaders are those who primarily assume a mediating rather than directing or monitoring roles during virtual collaborations, and that this is consistent across the two social software systems investigated. Implications for research and practice are discussed.

AB - Social software systems, such as virtual-worlds and chatrooms, present immense opportunities for companies today, allowing them leverage these systems to exploit the diverse knowledge and intelligence of their members and business associates, and thus respond more effectively in their increasingly competitive markets. This study seeks to advance our systematic understanding of the use of social software systems for knowledge-sharing practices in project work contexts, by attempting to identify and understand how leadership emerges in virtual collaboration settings to organize participants’ interactions for effective outcomes. Two social software systems for virtual collaborations - one emergent (i.e., the Second Life ‘virtual world’) and another widely adopted (i.e., the text-based chatroom discussion system) -were examined via a series of empirical investigations employing hybrid research methodologies that entailed survey questionnaires within a set of field-based quasi experiments. Based on social network analysis results, we observed that the patterning of interactions i.e., the structure of a social network, is a significant predictor of a person being perceived as a leader by other virtual collaborators. The results show that the most effective emergent leaders are those who primarily assume a mediating rather than directing or monitoring roles during virtual collaborations, and that this is consistent across the two social software systems investigated. Implications for research and practice are discussed.

U2 - 10.1016/j.lrp.2011.09.001

DO - 10.1016/j.lrp.2011.09.001

M3 - Journal article

VL - 44

SP - 421

EP - 439

JO - Long Range Planning

JF - Long Range Planning

SN - 0024-6301

IS - 5-6

ER -