Open Source Software User Communities: A Study of Participation in Linux User Groups
We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social iden...
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Published in | Management science Vol. 52; no. 7; pp. 1099 - 1115 |
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Main Authors | , |
Format | Journal Article |
Language | English |
Published |
Linthicum
INFORMS
01.07.2006
Institute for Operations Research and the Management Sciences |
Series | Management Science |
Subjects | |
Online Access | Get full text |
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Abstract | We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux users experience level moderates the extent of the LUGs social influence and its impact on the users participation. We conclude with a consideration of the managerial and research implications of the studys findings. |
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AbstractList | We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux user's experience level moderates the extent of the LUG's social influence and its impact on the user's participation. We conclude with a consideration of the managerial and research implications of the study's findings. Reprinted by permission of the Institute for Operations Research and Management Science (INFORMS) We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux user’s experience level moderates the extent of the LUG’s social influence and its impact on the user’s participation. We conclude with a consideration of the managerial and research implications of the study’s findings. We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux user's experience level moderates the extent of the LUG's social influence and its impact on the user's participation. We conclude with a consideration of the managerial and research implications of the study's findings. Key words: open source software; Linux; virtual communities; novice versus experienced users; social identity; we-intentions; anticipated emotions; model of goal-directed behavior We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux users experience level moderates the extent of the LUGs social influence and its impact on the users participation. We conclude with a consideration of the managerial and research implications of the studys findings. We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux user's experience level moderates the extent of the LUG's social influence and its impact on the user's participation. We conclude with a consideration of the managerial and research implications of the study's findings. [PUBLICATION ABSTRACT] We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived behavioral control, identification with the open source movement), affective (positive and negative anticipated emotions), and social (social identity) determinants of participation and its consequences on Linux-related behaviors of users. This survey-based study, conducted with 402 active LUG members representing 191 different LUGs from 23 countries and employing structural equation modeling methodology, supports the proposed model. Furthermore, we find that the Linux user's experience level moderates the extent of the LUG's social influence and its impact on the user's participation. We conclude with a consideration of the managerial and research implications of the study's findings. |
Audience | Trade Academic |
Author | Bagozzi, Richard P Dholakia, Utpal M |
Author_xml | – sequence: 1 fullname: Bagozzi, Richard P – sequence: 2 fullname: Dholakia, Utpal M |
BackLink | http://econpapers.repec.org/article/inmormnsc/v_3a52_3ay_3a2006_3ai_3a7_3ap_3a1099-1115.htm$$DView record in RePEc |
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Snippet | We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived... We conceptualize participation in Linux user groups (LUGs) in terms of group-referent intentional actions and investigate cognitive (attitudes, perceived... |
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SubjectTerms | Analysis anticipated emotions Anticipation Behavior modeling Behavioural sciences Business studies Communities Community Computer software Consciousness Consumer behavior Donations Emotions Influence Linux Management science model of goal-directed behavior novice versus experienced users Open source software Participation Public domain Public software Services Social identity Social influence Social interaction Studies Success User groups User training virtual communities we-intentions |
Title | Open Source Software User Communities: A Study of Participation in Linux User Groups |
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