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Concerning the later, ex post returns are most probably correlated with ex ante returns, which themselves influence the decision to adopt big data (see above as per game-theoretical models of adoption).
This variable captures the rivalry effect as per game theoretical models of adoption [22].
We suggest the predictive power of TTF-based models of adoption can be enhanced by integrating network externalities with the TTF framework, a topic upon which we will expand in the next section as our hypotheses are developed.
There is much existing knowledge about the factors that influence adoption of new practices in agriculture but few attempts have been made to construct predictive quantitative models of adoption for use by those planning agricultural research, development, extension and policy.
Table 9 Estimates of the models of adoption in selected regions Variables Probit Irrigation = 1 Ordered probit+ Level: 1, 2, 3 Multinomial probit Probit on selected sample Modern irrigation = 1 Probit with sample selection Modern irrigation = 1 Modern Traditional Moments of production distribution Mean 0.078 0.0422)* 0.058 (0.027)** 0.231 0.1188)** 0.083 0.062 0.190 0.121 0.197 0.1050.105)* St.
A recent report by the e-Infrastructure Reflection Group [4] suggests two models of adoption of cloud computing: for those researchers who are already users of existing e-Infrastructure services, those services can be extended to make use of cloud computing resources, keeping the user interfaces and usage models that these users are familiar with intact.
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Column 5 presents the results for the model of adoption of new technology conditioned on whether a farmer is already an irrigator.
To fill the research gap linking supply chain and innovation diffusion we developed an integrated model of adoption for CRM in the context of supply chain management.
The results are shown in Additional file 1: appendix 2. Focus of this section, therefore, is the results of the bivariate probit model of adoption of inorganic fertilizer and improved maize varieties.
The findings provide foundations for an enhanced model of adoption and use for the practical development of FSS designs and services.
Using a joint model of adoption and returns to adoption, we find that the skewness of the distribution arises from a few telecom companies being able to follow key big data managerial and organizational practices.
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