Short answer

Designers and developers of agricultural technology should segment their target user base based on socio-demographic factors and develop tailored onboarding and training materials to maximize adoption and utility.

Field: User-Centred Design
Source: Cogent Business & Management (2023)
Method: Descriptive cross-sectional research design with mixed methods (quantitative questionnaire and qualitative focus group discussions).
Sample: 400 participants
Evidence: Strong effect

Socio-demographic factors significantly influence smallholder farmers' adoption of mobile phones for accessing agricultural marketing information, necessitating targeted training interventions. This user-centred design research insight is drawn from a 2023 study published in Cogent Business & Management. Using Descriptive cross-sectional research design with mixed methods (quantitative questionnaire and qualitative focus group discussions). with 400 participants, researchers explored how this design variable affects real-world outcomes. The key design takeaway: Designers and developers of agricultural technology should segment their target user base based on socio-demographic factors and develop tailored onboarding and training materials to maximize adoption and utility.

Study

User-Centred DesignRecentStrong effect

Tailored Training Boosts Mobile Access to Agricultural Marketing Data for Smallholder Grape Farmers

Socio-demographic factors significantly influence smallholder farmers' adoption of mobile phones for accessing agricultural marketing information, necessitating targeted training interventions.

Cogent Business & Management · 2023

Key Findings

01The most frequently accessed agricultural marketing information via mobile phones were buyer and price information.
02Socio-demographic factors such as sex, age, marital status, and education significantly influenced the use of mobile phones for accessing agricultural marketing information.

Application

Design takeaway

How to apply

When designing mobile applications for agricultural communities, conduct user research to identify key socio-demographic segments and develop differentiated training and support strategies for each.

Project actions

01When researching user needs, consider collecting demographic data to identify potential user segments.
02Evaluate how different user groups might interact with your design and plan for varied support mechanisms.

Method & Evidence

AimWhat socio-demographic factors influence the use of mobile phones for accessing agricultural marketing information among grape smallholder farmers in Tanzania?

MethodDescriptive cross-sectional research design with mixed methods (quantitative questionnaire and qualitative focus group discussions).

ProcedureData was collected from 400 grape smallholder farmers using a structured questionnaire and Focus Group Discussions (FGDs). Data was analyzed using descriptive statistics, binary logistic regression, and thematic analysis.

Sample400 participants

ContextAgricultural sector, specifically smallholder grape farming in Tanzania.

Variables

IV["Sex","Age","Marital Status","Education Level"]

DVUse of mobile phone for accessing agricultural marketing information

CV["Type of crop (grape)","Location (Dodoma region)","Access to mobile phone"]

Strengths & Limitations

Strengths

+Utilized a mixed-methods approach for comprehensive data collection.
+Employed statistical analysis (binary logistic regression) to identify significant influencing factors.

Limitations

The findings might not apply to farmers in different regions or those growing different crops, as their market access and technological familiarity could vary.

Reliability & validity

The use of a structured questionnaire and FGDs, coupled with statistical analysis, enhances the reliability and validity of the findings. However, the cross-sectional nature limits causal claims.

Think critically

How might the *type* of mobile phone (e.g., feature phone vs. smartphone) and the *cost* of data plans further influence the adoption of mobile marketing information access, independent of socio-demographic factors?

Design Principles

"Technology adoption is influenced by user characteristics; therefore, design and implementation strategies must be user-centric and context-specific."

Understanding the specific user characteristics that enable or hinder technology adoption is crucial for designing effective digital tools and support systems. This insight highlights the need to move beyond a one-size-fits-all approach in technology deployment within agricultural communities.

What This Means for Your Design

To help farmers use their phones for market information, we need to teach them differently based on if they are male or female, young or old, married or single, and how much schooling they've had.

How to use in your project

1.Use this research to justify the need for user segmentation in your design process and to inform the development of user profiles.

Add to My Project

Quick Cite

Paragraph starter

This study highlights that socio-demographic factors such as sex, age, marital status, and education significantly influence the adoption of mobile technology for accessing agricultural marketing information. Therefore, any design project aiming to provide such services must consider these user characteristics and develop tailored approaches to training and support to ensure equitable access and effective utilization.

Source

Cogent Business & Management

Factors influencing the use of mobile phone for accessing agricultural marketing information by grape smallholder farmers in Tanzania

journal · 2023

View source

Questions About This Research

What does the research say about tailored training boosts mobile access to agricultural marketing data for smallholder grape farmers?: Designers and developers of agricultural technology should segment their target user base based on socio-demographic factors and develop tailored onboarding and training materials to maximize adoption and utility. Evidence: Cogent Business & Management (2023).
Why does "Tailored Training Boosts Mobile Access to Agricultural Marketing Data for Smallholder Grape Farmers" matter for design?: Understanding the specific user characteristics that enable or hinder technology adoption is crucial for designing effective digital tools and support systems. This insight highlights the need to move beyond a one-size-fits-all approach in technology deployment within agricultural communities.
How can designers apply this research?: Designers and developers of agricultural technology should segment their target user base based on socio-demographic factors and develop tailored onboarding and training materials to maximize adoption and utility.
What were the main findings?: The most frequently accessed agricultural marketing information via mobile phones were buyer and price information.. Socio-demographic factors such as sex, age, marital status, and education significantly influenced the use of mobile phones for accessing agricultural marketing information.
What research method was used?: Descriptive cross-sectional research design with mixed methods (quantitative questionnaire and qualitative focus group discussions). with 400 participants.
How strong is the evidence?: Evidence strength is rated Strong effect, based on a 2023 journal from Cogent Business & Management.
What should I do differently in my next project?: When designing mobile applications for agricultural communities, conduct user research to identify key socio-demographic segments and develop differentiated training and support strategies for each.
What are the limitations?: The study focused on grape farmers in a specific region of Tanzania, limiting generalizability to other crops or regions. The cross-sectional design captures a snapshot in time and does not establish causality.