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The purpose of this study was to identify determinants of Eco-Innovations (EI) in agricultural production cooperatives in Iran. Qualitative and quantitative methods were applied to the research. The qualitative section included semi-structured interviews, faceto-face interviews, and brainstorming sessions, and the quantitative section included descriptive statistical and spatial and Bayesian probit models to estimate the model of research. SPSS and MATLAB software was used in this study. SPSS software was used to describe the variables, explain the types of EIs and their effects and comparison of adopters and non-adopters, and MATLAB software was used for the estimation of the model. The data of 300 members of agricultural production cooperatives in Khouzestan Province, Iran, were collected based on random sampling, in 2020 summer. The research examined the different types of EIs. For comparison of adopter and non-adopter characteristics, a t-test and Mann-Whitney test (MW) were used. The results of the t-test showed that there was a significant difference between age, income, crop yield, and farm size for adopters and non-adopters of EI. The Mann Whitney U test (MW) showed significant difference between farmers' education level, EI awareness, attitude toward EI, EI knowledge, willingness to creativity, being risk oriented, and access to information of adopters and non-adopters of EI. Based on the results obtained from the spatial models, with a probability of 99%, both models were significant. Based on the results of the estimation of spatial models, the independent variables and the spatial autoregressive coefficient had significant role on adoption of EI. For practical implications, it can be said that cooperative members, when adopting the EIs, can use the proposed model that is appropriate to their field of work. This study conducted a critical review before specifically recommending how cooperatives become eco-innovators. [ABSTRACT FROM AUTHOR]

The main purpose of this study was to identify strategies for adapting agricultural cooperatives to learning organization. Agricultural cooperatives are business organizations that fully examine all the economic, democratic and social dimensions of poverty reduction in rural areas simultaneously. This research is an exploratory research that was conducted in two parts: qualitative and quantitative. In the qualitative section, by holding several meetings with experts and through the method of brainstorming, the opportunities, threats, strengths and weaknesses for the adapting of the agricultural cooperative organization to learning organization were identified. Then, using the SWOT model, strategies and action plan were identified for adapting the cooperative organization to the learning organization. Also, in the quantitative part of the research that was conducted among the members of the cooperatives, through Structural Equation Modeling (SEM), the role of the identified strategies was evaluated and the designed model was approved. Based on the results, the predictive positive effect of identified strategies include: SO1 (β= 0.73, t-Value= 4.23, P< 0.001), SO2 (β= 0.79, t-Value=4.71, P< 0.001), SO3 (β= 0.81, t-Value=5.08, P< 0.001) and SO4 (β= 0.82, t-Value= 4.97, P< 0.001) on Adapting Cooperatives to the Learning Organization (ACLO). The findings showed that (R²= 0.69) the identified strategies determined 69% of the variance in the ACLO. [ABSTRACT FROM AUTHOR]