The Effects of Communication Patterns on the Success of Open Source Software Projects

Wu, Jing; Goh, Khim Yong; Li, He; Luo, Cheng; Zheng, Haichao

doi:10.4018/jgim.2016100102

Cited by 9 publications

(3 citation statements)

References 34 publications

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“…Similarly, the proximity of partners has a bearing on the degree and effectiveness of collaboration (Knoben & Oerlemans, 2006). Wu et al (2016) state that proper and planned control for the communication among team members is crucial for the success of projects (Wu, Goh, Li, Luo, & Zheng, 2016).…”

Section: Collaborative Networkmentioning

confidence: 99%

Exploring Communication and Networks Using Social Network Analysis

Shaw

Shi³

2022

Journal of Global Information Management

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Programme management’s importance is increasing, particularly in the public sector, because of government promotion of PM. However, its novelty means PM is an under-researched organizational form.This is particularly the case with the application studied here of PM for asset management in the utility sector with its unique setting of a heavily-regulated monopoly.This study focuses on an asset management programme that comprises a utility company and its eight contractor partners, and explores how communication networks are influenced by organizational affiliation, seniority, technical nature of the work and geographical proximity. Social network analysis is used in a participative, cross-sectional study of communication networks.The study reveals that association with technical work content has a noteworthy influence on the individual’s positioning in the communication network.

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Section: Collaborative Networkmentioning

confidence: 99%

Exploring Communication and Networks Using Social Network Analysis

Shaw

Shi³

2022

Journal of Global Information Management

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“…Hossain and Zhu, 2009;Long and Siau, 2008), electronic commerce (e.g. Bampo et al, 2008) and open collaboration (Kane, 2009), on a broad range of issues including team performance (Wu et al, 2007), sense-making (Abbasi et al, 2018), productivity (Aral et al, 2012), and disaster response (e.g. Ofli et al, 2016;Son et al, 2019).…”

Section: Text Mining Social Media Data For the General Populationmentioning

confidence: 99%

Substance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessness

Deng

Barman‐Adhikari²,

Lee³

et al. 2022

ITP

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PurposeThis study investigates associations between Facebook (FB) conversations and self-reports of substance use among youth experiencing homelessness (YEH). YEH engage in high rates of substance use and are often difficult to reach, for both research and interventions. Social media sites provide rich digital trace data for observing the social context of YEH's health behaviors. The authors aim to investigate the feasibility of using these big data and text mining techniques as a supplement to self-report surveys in detecting and understanding YEH attitudes and engagement in substance use.Design/methodology/approachParticipants took a self-report survey in addition to providing consent for researchers to download their Facebook feed data retrospectively. The authors collected survey responses from 92 participants and retrieved 33,204 textual Facebook conversations. The authors performed text mining analysis and statistical analysis including ANOVA and logistic regression to examine the relationship between YEH's Facebook conversations and their substance use.FindingsFacebook posts of YEH have a moderately positive sentiment. YEH substance users and non-users differed in their Facebook posts regarding: (1) overall sentiment and (2) topics discussed. Logistic regressions show that more positive sentiment in a respondent's FB conversation suggests a lower likelihood of marijuana usage. On the other hand, discussing money-related topics in the conversation increases YEH's likelihood of marijuana use.Originality/valueDigital trace data on social media sites represent a vast source of ecological data. This study demonstrates the feasibility of using such data from a hard-to-reach population to gain unique insights into YEH's health behaviors. The authors provide a text-mining-based toolkit for analyzing social media data for interpretation by experts from a variety of domains.

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“…Factors that have been identified as having an influence on team success is team size [9], professional trust [10,11,12], communication [13,14,15], goal orientation [16] and good management [16,17,18,19]. It is, however, not trivial to understand and control these factors.…”

Section: Literature Reviewmentioning

confidence: 99%

How personality diversity influences team performance in student software engineering teams

Pieterse

Leeu

Eekelen

2018

2018 Conference on Information Communications Technology and Society (ICTAS)

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This publication is distributed under the terms of Article 25fa of the Dutch Copyright Act (Auteurswet) with explicit consent by the author. Dutch law entitles the maker of a short scientific work funded either wholly or partially by Dutch public funds to make that work publicly available for no consideration following a reasonable period of time after the work was first published, provided that clear reference is made to the source of the first publication of the work. This publication is distributed under The Association of Universities in the Netherlands (VSNU) 'Article 25fa implementation' pilot project. In this pilot research outputs of researchers employed by Dutch Universities that comply with the legal requirements of Article 25fa of the Dutch Copyright Act are distributed online and free of cost or other barriers in institutional repositories. Research outputs are distributed six months after their first online publication in the original published version and with proper attribution to the source of the original publication.You are permitted to download and use the publication for personal purposes. Please note that you are not allowed to share this article on other platforms, but can link to it. All rights remain with the author(s) and/or copyrights owner(s) of this work. Any use of the publication or parts of it other than authorised under this licence or copyright law is prohibited. Neither Radboud University nor the authors of this publication are liable for any damage resulting from your (re)use of this publication.If you believe that digital publication of certain material infringes any of your rights or (privacy) interests, please let the Library know, stating your reasons. In case of a legitimate complaint, the Library will make the ma terial

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The Effects of Communication Patterns on the Success of Open Source Software Projects

Cited by 9 publications

References 34 publications

Exploring Communication and Networks Using Social Network Analysis

Exploring Communication and Networks Using Social Network Analysis

Substance use and sentiment and topical tendencies: a study using social media conversations of youth experiencing homelessness

How personality diversity influences team performance in student software engineering teams

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