Factors affecting the information seeking behaviour of the ber growers

Abstract

The present study was under taken in ber growing area of Rajasthan to know the information behaviour of ber growers. For the study 100 ber growers were selected by using random sampling method. Statistical analysis was done to inferences the result. it was observed that majority of ber growers were having medium level of information seeking behaviour. The association between the information seeking behaviour of ber growers and the selected independent variables viz., age, education level, social participation, size of land holding, farm power, family size, farming experience, innovation proneness and annual income of the ber growers were measured by computing coefficient of correlation(r). It is revealed from the study that the ber growers education level, social participation, size of land holding, farm power, innovation proneness and annual income were found positively and significantly correlated with their information seeking behaviour at 0.01 level of probability, while the age of the ber growers was found negatively and significantly correlated with their information seeking behaviour at 0.05 level of probability.

Information Seeking Behavior of Tribal Guava Farmers in Sawai Madhopur District of Rajasthan, India

“…This shows that there was no significant difference between the peripheral and distant Guava farmers in their information seeking behavior. The findings are in line with the findings obtained by Dhayal et al, (2009), Nitharwal (2011), Meena (2012) and Meena et al, (2013).…”

Developing a model to explore the information seeking behaviour of farmers

“…Regarding demographic factors, farmers’ levels of education are significantly positively correlated with the INS, whereas age, gender, family size, and farming income have no significant relationship with the INS. Several past studies have also shown relationships between different demographic factors and farmers’ information needs (Dhayal et al , 2013; Gunawardana and Sharma, 2006). Thus, it is clear that depending on the context considered, various demographic factors influence farmers’ information needs.…”

“…Several investigations have been carried out to investigate the ISB in agriculture (e.g. Aziagba and Okede, 2011; Dhayal et al , 2013; Gunawardana and Sharma, 2006; Elly and Silayo, 2013; Kabir et al, 2014; Okwu and Daudu, 2011; Pezeshki-Rad and Zamani, 2005; Walisadeera et al , 2015). Past studies have disclosed that demographic (Dhayal et al , 2013; Gunawardana and Sharma, 2006), socio-economic, and cultural factors (Gunawardana and Sharma, 2006) are significantly related to farmers’ ISB.…”

“…Aziagba and Okede, 2011; Dhayal et al , 2013; Gunawardana and Sharma, 2006; Elly and Silayo, 2013; Kabir et al, 2014; Okwu and Daudu, 2011; Pezeshki-Rad and Zamani, 2005; Walisadeera et al , 2015). Past studies have disclosed that demographic (Dhayal et al , 2013; Gunawardana and Sharma, 2006), socio-economic, and cultural factors (Gunawardana and Sharma, 2006) are significantly related to farmers’ ISB. Information seeking contexts are described as social constructs that identify how local and often small communities with established beliefs, norms, and activities limit members’ information needs and seeking behaviours to that required in the community and every day (Chatman, 1991).…”

“…Numerous researchers have used the frequency of contact with information sources (Aziagba and Okede, 2011; Dhayal et al , 2013; Gunawardana and Sharma, 2006; Kabir et al, 2014; Pezeshki-Rad and Zamani, 2005) to measure farmers’ ISB. Instead, the Total Information Score (TIS) proposed by Demiryurek (2010) was employed in this study to gauge ISB.…”