Classifying Organizational Adoption of Open Source Software: A Proposal

Abstract

Staged adoption models are a common feature of information systems (IS) adoption literature, yet these are rarely used in open source software (OSS) adoption studies. In this paper, a staged model for classifying the organizational adoption of OSS is proposed, based upon a critical review of existing staged adoption models and factors identified from OSS adoption literature. Innovations in the proposed model include: defined transition pathways between stages, additional stages and a decomposition of cessation of use into four distinct pathways.

Pervasive Decentralisation of Digital Infrastructures: A Framework for Blockchain enabled System and Use Case Analysis

“…We refer to [6,14,25,22] for background on open source communities. This is also something that needs to be considered in the context of software system adoption by corporations as is emphasized by [26].…”

The Impact of Quality of Big Data Marketing Analytics (BDMA) on the Market and Financial Performance

“…Extant research has paid scarce attention to the impact of the level of deployment of the BDMA systems, especially from a marketing perspective. The level of deployment ranged in this research from complete unawareness to awareness, knowledge, evaluation, limited deployment, general deployment, and mature deployment of the BDMA systems (Murphy & Cox, 2016). The first three levels were omitted from the data set.…”

“…It includes the steps, processes, and activities required to make a software system available to intended users (Sumo Logic, 2021), which applies to software deployment (e.g., BDMA). It also proceeds in different levels (Science Direct, 2021), ranging from complete unawareness to full deployment (Murphy & Cox, 2016). Gunasekaran et al (2018) used the concept when assessing the level of deployment of the agile manufacturing facilitator.…”

“…The requirement was that the companies were at least in the limited deployment stage of BDMA. The final sample included 236 acceptable responses in stages 5-7 of active BDMA deployment (see Table 1; Murphy & Cox, 2016).…”

The influence of quality of big data marketing analytics on marketing capabilities: the impact of perceived market performance!

“…Stage 5 or later in Table 1). The final sample included 236 acceptable responses in various advanced stages of the active BDMA deployment (Murphy and Cox, 2016).…”