Abstract

Smallholder farmers’ social knowledge systems are evolving in connecting key actors within and outside their knowledge systems. These key actors play a vital role in navigating the complexity and the dynamics of organisations, and effectively influence the community. This study identified the opinion leaders of smallholder farmers and measured the extent of their influence on the quality of these farmers’ knowledge of agriculture. Furthermore, the study explored the reasons why farmers choose their opinion leaders. A structured questionnaire was administered to 219 purposively selected smallholder farmers in the rural areas in KwaZulu-Natal, South Africa. Data were captured and analysed using the Statistical Package for Social Sciences (SPSS) version 26 and STATA to run multinomial logistic regression model (MNL). The results showed that farmers participated in field visits and attended farmers’ group meetings to communicate with agricultural advisors and group leaders. In addition, the findings showed that interactions could be a crucial element of knowledge and learning for farmers. This showed that the farmers required a consistent flow of material resources and knowledge. The time and energy spent by farmers building social relationships with these opinion leaders reflected the accumulation of information and resources gathered. Issues related to accessibility, availability and, quick feedback regarding farmers’ problems emerged, which seemed to influence the farmers’ choice of an opinion leader. The language and accessibility to sources of knowledge and feedback were crucial to the smallholder farmers included in the study. Furthermore, the results revealed that farmers’ educational level, farmers who engaged in agriculture for household consumption, and opinion agricultural skills have statistical significance on farmers’ choice of opinion leaders. Considering the findings, it is suggested that efforts to improve farmers’ active knowledge systems and access to the opinion leaders within these active knowledge systems should take into consideration the socio-economic factors that influence farmers’ choices and participation in social systems and social interactions. These findings may help agents develop a better understanding of the dynamics of local communities and the social complexity that shapes farmers’ environments and decisions. To be a progressive and effective opinion leader, constant, continuous assessment is needed to increase leadership skills. In addition, the enhancement of programmes, which will recognise the active opinion leaders within the communities, are needed to strengthen the efforts and impact for more resilient outcomes.

Highlights

  • IntroductionKnowledge in agriculture is a stimulating factor that increases farmers’ productivity through the better utilisation of resources [3]

  • The objective of this study is to explore the types and characteristics of opinion leaders from farmers’ perspective, and the socio-economic characteristics of farmers and the dynamics of opinion leaders to build resilient farming as these social knowledge paradigms of systems grow among farmers and communities of South Africa

  • Some opinion leaders were significant in the extent of their offering opinion leadership, which showed that they were precious to their network system

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Summary

Introduction

Knowledge in agriculture is a stimulating factor that increases farmers’ productivity through the better utilisation of resources [3]. Evaluating the role of human capital in agricultural growth is essential, as it corresponds with other capitals involved in the improvement of food production. This study argues that farmers’ knowledge and empowerment can be achieved by integrating the institutional channels and active social systems in their environment. The opinion leaders within the communities significantly influence their fellow farmers [4,5] These opinion leaders vary in their extent of impact; they hold different professional and social positions and frame different communication channels with their active farmers in knowledge systems [6,7]

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