Factors affecting the adoption of mobile applications by farmers: An empirical investigation

Okoroji Victor · Xiaomeng K. S. Lucock

51 citations0/0 files storedAfrican Journal of Agricultural Research

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Technology Adoption and User Behaviour Agricultural Development and Management Agricultural Innovations and Practices

Abstract

In developing countries such as Nigeria, agriculture is the main source of livelihood with over 70% of the population engaged in farming. They are mostly smallholders and subsistence farmers with minimal use of technology and low productivity. The use of mobile applications in agriculture can potentially help smallholders access agricultural information and financial services, improve access to markets and enhance visibility for supply chain efficiency. Unfortunately, due to a lack of uptake of these applications many farmers have not realized the benefits of this technology. This study seeks to explore and examine the factors that affect the uptake of this technology. A conceptual model which builds on the extended Technology Adoption Model (TAM2) was empirically estimated using Structural Equation Modelling (SEM) to examine the factors that influence the adoption of mobile applications. Primary data were collected from a sample of 261 farmers. Data were analyzed using SEM with the help of IBM SPSS and IBM AMOS software. The structural model showed that seven of the hypothesized relationships in the research model were supported. Social influence (SI), Perceived usefulness (PU), Information/awareness (IA) and Intention to use (ITU) affected the Actual Use (AU) of mobile applications positively, while Perceived risk (PR) and Perceived cost had a negative impact on their adoption. This study contributes to the literature on farmers’ technology adoption. It provides evidence that the extended TAM is a suitable model to explain the factors that influence mobile application adoption behavior. Key words: Mobile applications, smartphone, Information Communication Technologies (ICT) adoption, structural equation modelling, extended technology adoption model.

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References

1991The theory of planned behavior 1989Perceived Usefulness, Perceived Ease of Use, and User Acceptance of Information Technology 2003User Acceptance of Information Technology: Toward A Unified View1 1975Belief, Attitude, Intention and Behavior: An Introduction to Theory and Research 2000A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies 1974An Index of Factorial Simplicity 2003Evaluating the Fit of Structural Equation Models: Tests of Significance and Descriptive Goodness-of-Fit Measures 2000Determinants of Perceived Ease of Use: Integrating Control, Intrinsic Motivation, and Emotion into the Technology Acceptance Model

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