A strategic analysis for successful open source software utilization based on a structural equation model

Sohn, So Young; Mok, Min Seok

doi:10.1016/j.jss.2007.08.034

“…These papers discuss mainly (1) the perceived benefits and drawbacks of OSS or the motivations for adopting it [33,139], (2) the success factors for adoption of OSS [93,172], and (3) the extent to which OSS is actually adopted [98,141]. See Table 7 for an overview of the empirical research papers.…”

Section: General Topics On Adoption Of Ossmentioning

confidence: 99%

“…Discusses motivations for approaching OSS. [172] Analyzes different factors which may influence the adoption of OSS products in software development. [188] Motivations for using OSS server software: lower cost, higher reliability, availability of external support.…”

Section: Deploying Oss Productsmentioning

confidence: 99%

Adoption of open source software in software-intensive organizations – A systematic literature review

Hauge¹,

Ayala²,

Conradi³

2010

Information and Software Technology

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Context: Open source software (OSS) is changing the way organizations develop, acquire, use, and commercialize software. Objective: This paper seeks to identify how organizations adopt OSS, classify the literature according to these ways of adopting OSS, and with a focus on software development evaluate the research on adoption of OSS in organizations. Method: Based on the systematic literature review method we reviewed publications from 24 journals and seven conference and workshop proceedings, published between 1998 and 2008. From a population of 24289 papers, we identified 112 papers which provide empirical evidence on how organizations actually adopt OSS. Results: We show that adopting OSS involves more than simply using OSS products. We moreover provide a classification framework consisting of six distinctly different ways in which organizations adopt OSS. This framework is used to illustrate some of the opportunities and challenges organizations meet when approaching OSS, to show that OSS can be adopted successfully in different ways, and to organize and review existing research. We find that this research does not sufficiently describe the context of the organizations studied. It is furthermore fragmented and fails to benefit fully from related research fields. Finally, we present directions for future research.

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“…Additional studies from 2006-2013 period complement the findings on FLOSS implementation enablers and inhibitors (Ven and Verelst, 2006;Morgan and Finnegan, 2007;Gallego et al, 2008;Sohn and Mok, 2008;Lee et al, 2009;Hauge et al, 2010;Nagy et al, 2010;Rossi et al, 2012;Li et al, 2013). In Ven and Verelst's study (2006), five case studies are reported from Belgian organizations that adopted the utilization of a FLOSS operating system.…”

Section: Review Of Studies On Floss Success-failure Implementation Famentioning

confidence: 90%

An MADM risk-based evaluation-selection model of free-libre open source software tools

Gelman

¹

,

Gómez

²

,

O’Connor

³

et al. 2016

IJTPM

1

0

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Free-Libre Open Source Software (FLOSS) tools are free-cost license highly attractive to be implemented by organizations. However, not of all the FLOSS tools are mature, and failed implementations can occur. Thus, FLOSS evaluation-selection frameworks and FLOSS success-failure implementation factors studies have been conducted. In this research, we advance on such studies through an integrated FLOSS evaluation-selection model with a risk-based decision making approach. Our model was built upon the other two literatures, and it was structured as a Multi-Attribute Decision Making (MADM) model which contains 12 variables grouped in four risk categories: financial, organizational, enduser and technical ones. We illustrated its utilization in the domain of Information Technology Service Management (ITSM) FLOSS tools. Hence, our model contributes to the FLOSS literature with the inclusion of the risk management approach and to the FLOSS evaluation-selection praxis with the provision of an innovative and essential risk-based model. Keywords

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“…Their study did not investigate inhibitors. In next study Sohn and Mok (2008) surveyed a population of Korean programmers working at Korean organizations. They found the following enablers: functionality, efficiency, reliability, portability and sharing knowledge between communities.…”

Section: Review Of Studies On Floss Success-failure Implementation Famentioning

confidence: 99%

An MADM risk-based evaluation-selection model of free-libre open source software tools

Mora

¹

,

Gómez

²

,

O’Connor

³

et al. 2016

IJTPM

View full text Add to dashboard Cite

Free-Libre Open Source Software (FLOSS) tools are free-cost license highly attractive to be implemented by organizations. However, not of all the FLOSS tools are mature, and failed implementations can occur. Thus, FLOSS evaluation-selection frameworks and FLOSS success-failure implementation factors studies have been conducted. In this research, we advance on such studies through an integrated FLOSS evaluation-selection model with a risk-based decision making approach. Our model was built upon the other two literatures, and it was structured as a Multi-Attribute Decision Making (MADM) model which contains 12 variables grouped in four risk categories: financial, organizational, enduser and technical ones. We illustrated its utilization in the domain of Information Technology Service Management (ITSM) FLOSS tools. Hence, our model contributes to the FLOSS literature with the inclusion of the risk management approach and to the FLOSS evaluation-selection praxis with the provision of an innovative and essential risk-based model. Keywords

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A strategic analysis for successful open source software utilization based on a structural equation model

Cited by 30 publications

References 37 publications

Adoption of open source software in software-intensive organizations – A systematic literature review

Adoption of open source software in software-intensive organizations – A systematic literature review

An MADM risk-based evaluation-selection model of free-libre open source software tools

An MADM risk-based evaluation-selection model of free-libre open source software tools

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