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The factors that can explain the diffusion of 4.0 technologies in the chilean economy are analyzed. We work with companies that can be classified as "specialized suppliers" and "science-based" relevant to the analyzed technological field. The data from the Tenth National Innovation Survey carried out by the National Statistics Institute (INE, 2018) are used. A confirmatory factor analysis of the second order is performed to identify the variables that best explain the diffusion. Lisrel 8.8 software was used, making the estimations with the robust diagonal weighted least squares method (DWLS) because we work with ordinal variables. The main results show the relevance of future innovation projects and the number of workers hired by each company to stimulate technological diffusion. [ABSTRACT FROM AUTHOR]

The factors that can explain the diffusion of 4.0 technologies in the chilean economy are analyzed. We work with companies that can be classified as "specialized suppliers" and "science-based" relevant to the analyzed technological field. The data from the Tenth National Innovation Survey carried out by the National Statistics Institute (INE, 2018) are used. A confirmatory factor analysis of the second order is performed to identify the variables that best explain the diffusion. Lisrel 8.8 software was used, making the estimations with the robust diagonal weighted least squares method (DWLS) because we work with ordinal variables. The main results show the relevance of future innovation projects and the number of workers hired by each company to stimulate technological diffusion. [ABSTRACT FROM AUTHOR]

Farmers demand more precision farming technology and specific information is consumed in the adoption process, which could not only depend on how efficiently the information flows among farmers. It is assumed that the sources of information are inputs in the production processes and could have an impact on the decision to adopt precision farming technology, after controlling for farmer and farm business characteristics. Accordingly, the objective of this research was to evaluate the effects of nine information sources used by cotton farmers of 12 U.S. producer states on the adoption of yield monitor with GPS, grid soil sampling, zone soil sampling, aerial photos, and soil survey maps. The scientific utility of this research lies on the quantitative data from the Southern Cotton Precision Farming Survey analysed using statistical methods such as univariate, bivariate and multivariate probit regressions. The statistical results indicated that information from dealers, consultants, university publications, and university events were the most common information sources used when searching for precision farming information with positive and significant effects on the adoption of precision farming technology. The presented findings from this comprehensive analysis can assist organizations in selecting information sources, and on planning communications and partnerships strategies fostering technology transfer. [ABSTRACT FROM AUTHOR]

Qualifying technologies of Industry 4.0, the recognition of the project's "centrality" and the integration between ideation and design practice are at the basis of cHOMgenius experimental project, winner of "Smart Living" call for tender and funded by Regione Lombardia to support experimental development and innovation projects (S&I) carried out by partnerships and universities. This project responds to the aim of introducing new or ameliorative products, processes/services from a technological, productive and organisational perspective, in order to valorise the 'Smart Living' theme. cHOMgenius proves that the direction of ideas (represented by the technological culture's approach to design, which need to be "accomplishable" and to "anticipate decisions") produces innovation for the Internet of "things". [ABSTRACT FROM AUTHOR]

The aim of the essay is to investigate the strategic role of physical prototyping in design, from concept to application, in a context characterised by the increasingly widespread presence of digital technologies and virtual prototypes. Starting from the identification of certain categories of prototypes (provocative, experimental, production), the article proposes a critical overview of the elements that characterise prototyping activities in the fields of education, research and technological transfer. [ABSTRACT FROM AUTHOR]

The purpose of the present study was assessing factors which influence adoption of innovation by producers of dual purpose cattle. By means of non-stochastic selection of 121 farmers who participated in the support program of SAGARPA in 2010-2011, three definite groups of producers applying different technology levels (high, intermediate and low) in their enterprises were identified through statistical positioning methods. Variables affecting implementation of their technology practices were determined via analysis of variance and chi-square tests. Average adoption of innovations was significant (P<0.05) for differentiating producer groups, while significant variables (P<0.05) for description were number of adult cows, distance from production unit to municipality, method of reproduction, types of milking and years of receiving technical assistance. As a conclusion, it is worth mentioning that the typology applied made possible to identify three groups of producers according to adoption of technological innovations. In each group, factors which influence the adoption of innovations were related to variables of scale, location, technology and innovation. Results obtained may serve to refocus and draw up technology transfer programs in dual purpose cattle production systems. [ABSTRACT FROM AUTHOR]