In recent decades, climate change and frequent droughts have had great impacts on farming systems and have led farmers to become accustomed to these conditions, which are causing problems, especially, for smallholder farmers. With the severe weather events and their adverse effects, especially in arid regions, farmers' adaptation to these changes is an indisputable and critical strategy. Thus, farmers need to make complex decisions about mitigating the adverse effects of climate change to take advantage of newer opportunities as possible. The understanding of the process by which farmers decide to stand facing climate changes and probing into the determinants of the process provide research evidence for policymakers to assist farmers to adapt to climate change effects. This article would establish a conceptual framework, inclusive of factors influencing farmers’ decision-making to adapt to climate change, and would clarify causal relations among these factors. According to the results, household characteristics, economic factors, knowledge, motives and goals, perceived outcomes of adaptation, social, personal norms, perception of climate change, perceived risk and obstacles, attitude towards climate change, prospective perception of climate change, the evaluation of climate change, and adaptation initiatives could influence farmers’ decisions to adapt to climate change. Manuscript profile

The emergence of agricultural e‐commerce can solve the challenges of agricultural marketing especially in developing countries such as Iran. The aim of this study was to extend the Technology Acceptance Model (TAM) through adding the variables social influence and facilitating conditions to understand farmers’ behavioral intention towards using agricultural e-commerce. This descriptive-correlational research was conducted through a cross-sectional survey. The statistical population of the study was Jahrom citrus growers, Iran, (N=3566). The stratified random sampling method was used and 360 respondents selected in the survey. The research instrument was a structured questionnaire, who’s the research instrument was a structured questionnaire, whose face, convergent, and discriminant validity of the questionnaire were confirmed. Cronbach's alpha and composite reliability were obtained using SPSS24 and AMOS24 software, respectively to examine the reliability of research tool (0.75< α< 0.85). The results showed that the extended form of TAM constructs was significant in explaining farmers’ behavioral intention. This means that attitude, perceived usefulness, facilitating conditions, social influence and perceived ease of use explained 50.3% of the variance in behavioral intention. The hypotheses of the extended TAM constructs showed that social influence and facilitating conditions have a positive and significant effect on intention towards using agricultural e-commerce. In this context, the government and agricultural e-commerce planners need to raise the awareness of all social influence groups about the benefits of using agricultural e-commerce through all media. In addition, providing technical and educational e-commerce facilities for farmers is recommended. Manuscript profile