Adoption of Mobile Technology by Farmers in Southwest-Nigeria: A Cross-Sectional Study

Adoption of Mobile Technology by Farmers in Southwest-Nigeria: A Cross-Sectional Study

Senanu R. Okuboyejo, Ann O. Adejo
DOI: 10.4018/jictrda.2012070103
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Abstract

This study evaluates the behavioral intention of farmers in selected areas of Nigeria to adopt mobile technology for agricultural purposes. A theoretical framework was developed based on the technology acceptance model (TAM) and innovation diffusion theory (IDT). Five variables were evaluated. Convenience sampling was employed in the investigation. A total of 202 responses were retrieved. Factor analysis was performed to test the reliability and validity of the measurement items. Correlation analysis was used to test the conformity of the empirical data with the presumed model using SPSS version 16. All five measurement items: perceived ease of use, perceived usefulness, relative advantage, compatibility, and attitude were found to be direct predictors of adoption behavior. The study provides evidence for the potential of mobile technology in agriculture.
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1. Introduction

Agriculture has played an important role in civilization. Back in the days, farmers practiced agriculture to satisfy their immediate food consumption needs, and provision of clothing and shelter. There has been advancement in this sector over the years through wide range of methods and practices, introduction of machinery which has helped in production of various produce in large quantities not just to meet the needs of one’s immediate family but for profit, growth and development of the world in general.

Mobile technology today has evolved over time, which has resulted in the advancement not just in mobile technology but in technology as a whole. In the context of the rapid growth of mobile phone penetration in developing countries, mobile telephony is currently considered to be particularly important for development (Rashid & Elder, 2009). It is gaining wide acceptance as the new service delivery platform especially in developing countries. Mobile technology has been applied in healthcare (Anhoj & Moldrup, 2004; Miskelly, 2005; Kim and Jeong, 2007; Blake, 2008; Iluyemi, 2008, 2009; Lester et al., 2009; Blake, 2009); tourism (Cheverst et al., 2000; Brown & Chalmers, 2003; Fesenmaier et al., 2003; Brown et al., 2003; Schwinger et al., 2005; Kim et al., 2008); agriculture (de Silva & Ratnadiwakara, 2010; Maumbe & Okello, 2010; Okello et al., 2010; Katengeza et al., 2011; Lawal-Adebowale & Omotayo, 2012) and education (Lee et al., 2004; Naismith et al., 2004; Mostakhdemin-Hosseini & Tuimala, 2005; Laouris et al., 2005; Najafabadi, 2008).

In this article we introduce a research model to evaluate the factors affecting mobile technology adoption in agriculture; discuss underlying theories and present research hypotheses to test the strength of variables empirically; describe the methodology, report analytical results of the study; and present the discussion and conclusion.

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