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An Empirical Investigation of Factors Influencing the Adoption Decision of Mobile Agriculture in Nigeria

by Oladotun Okediran, Wajeed Wahab, Olusola Ogunjinmi
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 175 - Number 20
Year of Publication: 2020
Authors: Oladotun Okediran, Wajeed Wahab, Olusola Ogunjinmi
10.5120/ijca2020920739

Oladotun Okediran, Wajeed Wahab, Olusola Ogunjinmi . An Empirical Investigation of Factors Influencing the Adoption Decision of Mobile Agriculture in Nigeria. International Journal of Computer Applications. 175, 20 ( Sep 2020), 44-51. DOI=10.5120/ijca2020920739

@article{ 10.5120/ijca2020920739,
author = { Oladotun Okediran, Wajeed Wahab, Olusola Ogunjinmi },
title = { An Empirical Investigation of Factors Influencing the Adoption Decision of Mobile Agriculture in Nigeria },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2020 },
volume = { 175 },
number = { 20 },
month = { Sep },
year = { 2020 },
issn = { 0975-8887 },
pages = { 44-51 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume175/number20/31572-2020920739/ },
doi = { 10.5120/ijca2020920739 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-07T00:25:37.125693+05:30
%A Oladotun Okediran
%A Wajeed Wahab
%A Olusola Ogunjinmi
%T An Empirical Investigation of Factors Influencing the Adoption Decision of Mobile Agriculture in Nigeria
%J International Journal of Computer Applications
%@ 0975-8887
%V 175
%N 20
%P 44-51
%D 2020
%I Foundation of Computer Science (FCS), NY, USA
Abstract

In this paper, an extended technology acceptance model (TAM) was presented to investigate the factors that have effects on the intention to adopt and use mobile agriculture (m-Agriculture). The paper’s main objective is to survey the usage of mobile phones in agriculture and examine the prospects and intents toward m-Agriculture among smallholder famers in South-western Nigeria. A survey was conducted by administering a questionnaire containing 25 items. The data collected from the survey was used to empirically test the proposed model for the adoption and use of m-Agriculture. The model was evaluated using the partial least squares structural equation analysis. The results of the evaluation showed that all the variables have significant effect on the farmers’ behavioural intention to use m-Agriculture. In concluding the paper, the authors proposed an m-Agriculture architecture whose contents delivery channels are based on voice, short message service (SMS) and Unstructured Supplementary Service Data (USSD) of basic/feature phones with the aim of providing a digital platform for enhancing agricultural productivity, efficiency and sustainability.

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Index Terms

Computer Science
Information Sciences

Keywords

Mobile agriculture Technology acceptance model Smallholder farmers Job relevance Performance expectancy Perceived compatibility Perceived price value Social influence

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