A systematic examination of knowledge loss in open source software projects

Rashid, Mehvish; Clarke, Paul M.; O’Connor, Rory V.

doi:10.1016/j.ijinfomgt.2018.11.015

Cited by 45 publications

(27 citation statements)

References 114 publications

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“…The more popular, widely used, and freely obtainable the technology, the higher the probability of wide usage by population (Constantinescu, 2015;Rashid et al, 2019). The higher the number of possible contributors, the broader the set of knowledge that can be captured, collected, and stored.…”

Section: Classification Of Ict Based On Technological Differencesmentioning

confidence: 99%

Knowledge Management-Enabling Technologies: A Supplementary Classification

Dávideková¹,

Greguš²,

Zanker³

et al. 2020

AIP

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Scientific and technological developments in informatics enable intensive transformation of data into valuable information. Enriched with context, information may be turned into knowledge, allowing organizations to optimize their processes and profile themselves as learning knowledge organizations. Several classifications of knowledge and knowledge management are available in scientific literature and research publications. In this paper the implementation and application of information and communication technology in knowledge management is being assessed from the perspective of synchrony and mutual interaction among collaborating parties. Following the PRISMA scheme, a systematic review procedure using Scopus and Web of Science databases was conducted. Obtained manuscripts underwent manual content analysis. The outcome of this analysis represents the classification of widespread ICTs into diverse categories based on extensive literature research. It specifies an original type of classification by connecting intertwined synchronicity and interaction as the main classification criteria, and it provides examples of commonly used ICTs in business practice. The introduced classification aims to deepen the comprehension of ICTs, which may lead to improved efficiency and/or eligibility of technological implementations and applications of knowledge management based on the undeniably enormous benefits of the use of ICTs in processing of business operations.

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Section: Classification Of Ict Based On Technological Differencesmentioning

confidence: 99%

Knowledge Management-Enabling Technologies: A Supplementary Classification

Dávideková¹,

Greguš²,

Zanker³

et al. 2020

AIP

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“…El sistema operatiu Linux, igual que altres plataformes de codi obert, estableix mecanismes de control més laxos que faciliten el desenvolupament de complements més especialitzats (Raymond, 1999;von Hippel, 1986). Si bé es podria esperar una situació caòtica quant al maneig de la informació en plataformes obertes, hi ha mecanismes alternatius de curació, com ara xarxes de contactes o 'gamificació' (Rashid et al, 2019).…”

Section: Característiques De Les Plataformes Digitalsunclassified

Economia col·laborativa

2020

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“…The search strategy, inclusion, exclusions, and quality criteria are applied as a part of snowballing procedure. The examination of the literature on knowledge loss in OSS projects resulted in identification of practices on mitigation of knowledge loss in OSS projects …”

Section: Data Collection and Analysismentioning

confidence: 99%

“…The examination of the literature on knowledge loss in OSS projects resulted in identification of practices on mitigation of knowledge loss in OSS projects. 37…”

Section: Data Collection and Analysismentioning

confidence: 99%

“…The focus of this research is on the uniform distribution of knowledge among contributors, by the introduction of continuous knowledge transfer techniques and practices, which we refer to as a proactive knowledge retention strategy for OSS projects. This paper presents a research methodology to investigate the knowledge loss problem in OSS projects articulated in Robles and Gonzalez‐Barahona and Otte et al The research methodology discusses the overall research approach to be employed to devise a proactive knowledge retention strategy in OSS projects.…”

Section: Introductionmentioning

confidence: 99%

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A mechanism to explore proactive knowledge retention in open source software communities

Rashid

Clarke

O’Connor

2019

J Software Evolu Process

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Open‐source software (OSS) is a type of computer software wherein the source code is distributed under a special type of licence in which the copyright holder grants users the rights to inspect, alter, and redistribute the software. OSS projects are collaborative endeavours which have multiple contributors who are constantly joining, leaving, or changing their role in the project. This ever‐changing and ever‐transient nature of OSS project contributors contributes to a contributor turnover‐induced knowledge loss in OSS projects. In this case, “knowledge loss” refers to the phenomenon of the loss of project‐specific knowledge, experience, and expertise in an OSS project, caused by contributors regularly joining and leaving the OSS project. This paper describes the design and development of a robust research methodology and contributes towards the formation of proactive knowledge retention practices in OSS projects to transform contributor's use of knowledge and engagement in knowledge‐relevant activities including knowledge sharing and knowledge transfer.

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A systematic examination of knowledge loss in open source software projects

Cited by 45 publications

References 114 publications

Knowledge Management-Enabling Technologies: A Supplementary Classification

Knowledge Management-Enabling Technologies: A Supplementary Classification

Economia col·laborativa

A mechanism to explore proactive knowledge retention in open source software communities

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