Technology adoption in diffusion of innovations perspective: introduction of an ERP system in a non-profit organization

Abstract

This study aimed to describe the adoption process in light of the diffusion of innovations and technologies of the management system enterprise resource planning in a non-profit organization, considering inhibiting and facilitating factors of this process and innovations or arising benefits. A descriptive qualitative approach was conducted through a case study. Triangulation of researchers was used in the content analysis of the empirical evidences obtained through 17 structured interviews. It was concluded with this study that the facilitating factors outweigh the inhibiting factors of the adoption of the system. With regard to innovations arising from the adoption of this technology, it was found that there were process and administrative innovations through the implementation of new processes, practices and structural organization, which resulted in the effective reach of the organization's objective, with respect to the compliance for business customers which had as goal to adjust themselves to the standards of minimum quotas for hiring young apprentices.

Defining stages of the Industry 4.0 adoption via indicator sets

“…It can be seen that the first question stated previously underlies the pre-adoption stage. The preadoption stage involves all other conditions needed for the adoption of innovation before the evaluation of the decision is made to adopt or reject the innovation (Miranda et al, 2016). As Rogers (1995) puts it, the pre-adoption stage involves the previous conditions for adoption, knowledge or awareness of the innovation, and the perception of the potential adopter by acquiring more profound knowledge on the innovation.…”

“…However, although considered to be critically important, it does not guarantee widespread adoption, thus, suggesting the need to look into other factors (Greenhalgh et al, 2004). Trialability -the extent, at which an innovation can be tried on a limited basis -is also strongly supported by many scholars in the literature (Miranda et al, 2016). It is strongly argued that although being able to test the innovation on a smaller sample space does not guarantee success when applied at a larger scale, it increases the confidence of adopters in the innovation (Plsek, 2003).…”

“…Aside from directly testing the innovation, observing the innovation already adopted by others may also affect the perception of potential adopters (Miranda et al, 2016). Potential adopters use a riskreduction strategy of seeking information from others who have already adopted the innovation of interest because adopters are usually faced with uncertainty about the consequences of their deci-sions, which contributes to their perceived risk (Mehrad & Mohammadi, 2017).…”

Assessment of the Technological Changes Impact on the Sustainability of State Security System of Ukraine

“…The issue of technological change is at the center of many scientists' attention, which is conditioned by the significant role played by these changes in the modern economy. In particular, a significant number of publications is devoted to the study of factors that determine these changes and the patterns of their course [10,11,27], the study of the processes of technological innovations' diffusion, in particular, their spatial distribution [28][29][30][31][32][33][34][35][36][37], and the impact of technological changes on the competitiveness of products and enterprises. Particular interest belongs to the phenomenon of technological jumps that occurs as a result of the spread of technology innovations between countries [38].…”

Localized Knowledge Diffusion, Social Interaction Vehicles, Adoption and Uses of Internet in Cameroon

“…This argument arises from the work of Arthur [10], and Walliser [11] who situates individual decision in a complex of social interactions and/or social embedding as in Granovetter [12], Bourdieu [13] and David [14]. Indeed, at the altar of works on Information Systems, the individual adoption and use decision of technologies is affected by two dimensions associated with the diffusion dynamics (Venkatesh et al [15], Miranda et al [16]): the global dimension, linked to the global reach of networks access and their contents, and the local dimension, linked to the immediate environment of adopters. The study of the last dimension makes it possible to identify factors leading to an adequate use of the services of Internet technology, and subjects its diffusion dynamics to a conjunction of pecuniary and non-pecuniary externalities (Pénard and Poussing [17], Pénard and Suire [18], Bakehe et al [19]).…”