Department of Computer science and Information Technology

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Browsing Department of Computer science and Information Technology by Subject "Agricultural information dissemination"

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    Influence of performance expectancy on commercial farmers’ intention to use mobile-based communication technologies for agricultural market information dissemination in Uganda
    (Emerald Group Publishing Limited, 2016-06) Engotoit, Benard; Mayoka Kituyi, Geoffrey; Bukoma Moya, Musa
    This paper to examine the relationship between performance expectancy and behavioural intention to use mobile-based communication technologies for agricultural market information dissemination in Uganda. Design/methodology/approach – A descriptive field survey method was adopted. A total of 302 commercial farmers and agribusiness traders in Eastern Uganda participated in the study from whom data were collected using self-administered questionnaires. Descriptive statistics, factor analysis, correlation and regression analyses were used in the study. Findings – The findings reveal a significant positive relationship between performance expectancy and behavioural intentions to use mobile-based communication technologies for agricultural information access and dissemination. This implies that, commercial farmers’ behavioural intentions to use mobile-based communication technologies for agricultural market information dissemination and access will be influenced if they anticipate mobile-based communication technologies to offer greater performance in their daily transactions. Research limitations/implications – This study was conducted in the context of resource constrained countries particularly in sub-Saharan Africa, however reflecting knowledge from other contexts. The study was conducted with a structured questionnaire being the main data collection tool, and this limited the study from collecting views outside the questions asked in the questionnaire. The variables studied could not be analysed for a long time, given that the study was cross-sectional in nature. Practical implications – The study provides recommendations on how to further boost farmers’ behavioural intentions to use mobile-based communication technologies for agricultural information dissemination. Policy makers need to ensure that policies are put in place that encourage third party software developers and telecommunication companies to provide software products and solutions that are beneficial to the commercial farmers and can enable them complete their agricultural transactions in time. Social implications – The study provides critical literature on the influence o f performance expectancy on commercial farmers’ behavioural intentions to use mobile-based communication technologies for agricultural market information access and dissemination in resource constrained settings. Originality/value – It is noted that farmers in Uganda are slowly progressing to newer mobile information and communication technology tools for market information access and dissemination; however, little is known as to why there is slow adoption of these mobile technologies for agricultural purposes; yet policy makers need to come up with proper strategies to encourage wide scale use of mobile technologies for agricultural market purposes.