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The Learning Transfer System Inventory considers 16 factors likely to influence the transfer of training to the workplace. This study uses the Persian translation of the inventory and applies it to agricultural sustainability learning in Iran. The aim is to examine the internal structure and predictive ability of the inventory as translated into Persian. The agricultural context was chosen because of its importance to Iran and because agricultural human resource interventions have failed to give serious attention to connecting training to practice. A valid and reliable tool for evaluating the transfer of learning among farmers can be helpful. A sample of 159 participating farmers was surveyed. Exploratory factor analysis revealed an 11‐factor structure among specific scales and a five‐factor structure among the general scales. The regression results indicated that about 82 per cent of the variability in the farmers’ sustainability learning transfer is predicted by six inventory factors including motivation to transfer, performance self‐efficacy, supervisor support, performance‐outcomes expectations, opportunity to use and supervisor sanctions. The findings suggest that the Persian translation of the inventory has both internal and predictive validity and can be used either as a tool to diagnose training needs or as a means of evaluating existing learning programs.

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Water is the prerequisite for human adaptation to climate change and is the key link among climatic conditions, humans, and the environment. Human behavior can mitigate the impacts of climate change. The present study aimed to evaluate rural people's readiness for sustainable management of water resources. To achieve this goal, the theory of planned behavior (TPB) and health belief model (HBM) were used as the research framework. The research instrument was a closed-end questionnaire developed on the basis of TPB and HBM. The face and content validity of the questionnaire was confirmed by a panel of experts in sustainable agriculture. Its reliability was also checked in a pilot study by calculating Cronbach's alpha, the AVE, R2, and CR. The research sample was composed of 480 villagers from Hamadan province, Iran, who were familiar with sustainable water resources management in the context of the rooftop rainwater harvesting project. The results showed that in TPB, the variables of moral norms, attitude, and self-identity could account for 61 percent of the variance in rural people's intention to adopt the practices of sustainable water resources management. Based on HBM, the variables of perceived benefits, perceived susceptibility, and perceived severity could capture 49 percent of this variance. The results revealed that both theories had the potential to predict rural people's intention to engage in the sustainable management of water resources, but TPB proved to provide a more robust prediction than HBM.

Food security is one of the most challenging topics globally; however, the concept of food security has taken on additional dimensions that are general and are less detailed. This study aims to identify the intellectual structure of food security research and the changes in this structure. This paper analyzed 3169 documents from the Web of Science database through a bibliometric review. A review of the published documents shows an increasing trend over the past 46 years. In accordance with co-occurrence analysis, 125 keywords were grouped into five clusters: food security and sustainable development; food security and socioeconomic factors; food security policy and governance; coping strategies for poverty, inequality, and hunger; and modern food security management. This study identifies four streams within food security research: sustainability and environmental, socioeconomic, cultural, and political factors. The paper concludes that even though food security might investigate many significant areas, other new dimensions should still be considered. Further gaps in the literature emerge that present avenues for future research directions. Reviewing indicators and techniques of food security assessment and identifying high-risk groups should be a priority.

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