Short answer

Prioritize understanding and integrating consumer preference data into the design and production of food products to ensure market relevance and success.

Field
Innovation & Markets
Source
CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (2013)
Method
Quantitative and Qualitative Research
Sample
279 participants (212 consumers, 67 traders)
Evidence
Strong effect

Understanding and prioritizing consumer preferences for specific bean attributes is crucial for aligning production with market demand and achieving self-sufficiency. This innovation & markets research insight is drawn from a 2013 study published in CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research). Using Quantitative and qualitative research with 279 participants (212 consumers, 67 traders), researchers explored how this design variable affects real-world outcomes. The key design takeaway: Prioritize understanding and integrating consumer preference data into the design and production of food products to ensure market relevance and success.

Study
Innovation & MarketsHigh ImpactStrong effect

Consumer preference for bean attributes drives market acceptance and production strategies

Understanding and prioritizing consumer preferences for specific bean attributes is crucial for aligning production with market demand and achieving self-sufficiency.

CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) · 2013

01

Key Findings

  • 01Beans are a staple food, consumed more than once a week by the majority of respondents.
  • 02Specific bean varieties (GLP 585, GLP 2, KAT X56) were preferred based on attributes like cooking quality, keeping quality, color, taste, low flatulence, and grain size.
  • 03Urban consumers showed a preference for GLP varieties, while rural consumers consumed both GLP and KAT varieties.
  • 04Consumer preferences significantly influence market acceptance and could guide production shifts.
02

Application

Design takeaway

Prioritize understanding and integrating consumer preference data into the design and production of food products to ensure market relevance and success.

How to apply

Before launching or scaling up production of any food product, conduct thorough consumer research to identify key preference drivers. Use this data to inform variety selection, processing methods, and marketing messages.

Project actions

  • 01When researching a product, don't just think about how it works, but also what people *want* from it.
  • 02Consider how different user groups (like urban vs. rural) might have different preferences.
03

Method & Evidence

AimTo investigate consumer preferences for common bean attributes in Kiambu County, Kenya, and analyze their impact on market acceptance.
MethodQuantitative and Qualitative Research
ProcedureA study was conducted using questionnaires with structured and open-ended questions administered to consumers and traders. A hedonic price model was employed to analyze the effect of preferred attributes on price.
Sample279 participants (212 consumers, 67 traders)
ContextAgricultural market, food product development, consumer goods

Variables

IVBean attributes (cooking quality, keeping quality, color, taste, low flatulence, grain size, variety)
DVConsumer preference, market acceptance, price
CVSocioeconomic characteristics of respondents, geographic location (rural/urban)
04

Strengths & Limitations

Strengths

  • +Utilized a mixed-methods approach (questionnaires and hedonic pricing model).
  • +Investigated a staple food product with significant market relevance.

Limitations

The study was conducted in a specific region of Kenya, so preferences might differ in other locations. The hedonic price model assumes certain market conditions.

Reliability & validity

The use of structured questionnaires and a hedonic price model contributes to the reliability and validity of the findings by providing quantifiable data and statistical analysis. However, the qualitative aspects of open-ended questions and the specific geographic context may limit generalizability.

Think critically

How might the identified consumer preferences for bean attributes be influenced by cultural factors, economic status, or availability of cooking technology in different regions?

05

Design Principles

"Market-driven product design: Design and production decisions should be guided by a thorough understanding of consumer preferences and market demands."

Designers and product developers often focus on technical performance or production efficiency. However, this research highlights that market success, particularly in food products, is heavily influenced by consumer perceptions of attributes like cooking quality, taste, and appearance. Ignoring these factors can lead to a disconnect between what is produced and what is desired, impacting market viability.

06

What This Means for Your Design

To sell more beans, you need to know what people like about them – like how well they cook, how long they last, and how they taste. Different people like different things, so understanding these preferences helps farmers and sellers know what to grow and sell.

How to use in your project

  • 1.Reference this study to support the importance of consumer research in identifying market needs and guiding product development.
  • 2.Use the findings on specific attribute preferences to justify design choices or identify areas for improvement in your own design project.
07

Add to My Project

08

Quick Cite

Paragraph starter

Research into consumer preferences, such as the study by Gitonga (2013) on bean attributes in Kenya, demonstrates that market success is significantly influenced by consumer desires for specific product characteristics like cooking quality, taste, and appearance. This underscores the critical need for designers to integrate detailed consumer preference analysis into their design process to ensure product relevance and market acceptance, thereby optimizing production strategies and potentially addressing market deficits.

09

Source

CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research)

Consumer preference for bean attributes: a study in Kiambu county, Kenya

journal · 2013

View source

Questions About This Research

What does the research say about consumer preference for bean attributes drives market acceptance and production strategies?
Prioritize understanding and integrating consumer preference data into the design and production of food products to ensure market relevance and success. Evidence: CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research) (2013).
Why does "Consumer preference for bean attributes drives market acceptance and production strategies" matter for design?
Designers and product developers often focus on technical performance or production efficiency. However, this research highlights that market success, particularly in food products, is heavily influenced by consumer perceptions of attributes like cooking quality, taste, and appearance. Ignoring these factors can lead to a disconnect between what is produced and what is desired, impacting market viability.
How can designers apply this research?
Prioritize understanding and integrating consumer preference data into the design and production of food products to ensure market relevance and success.
What were the main findings?
Beans are a staple food, consumed more than once a week by the majority of respondents.. Specific bean varieties (GLP 585, GLP 2, KAT X56) were preferred based on attributes like cooking quality, keeping quality, color, taste, low flatulence, and grain size.. Urban consumers showed a preference for GLP varieties, while rural consumers consumed both GLP and KAT varieties.. Consumer preferences significantly influence market acceptance and could guide production shifts.
What research method was used?
Quantitative and Qualitative Research with 279 participants (212 consumers, 67 traders).
How strong is the evidence?
Evidence strength is rated Strong effect, based on a 2013 journal from CGSPace A Repository of Agricultural Research Outputs (Consultative Group for International Agricultural Research).
What should I do differently in my next project?
Before launching or scaling up production of any food product, conduct thorough consumer research to identify key preference drivers. Use this data to inform variety selection, processing methods, and marketing messages.
What are the limitations?
Geographic specificity of findings (Kiambu County, Kenya); potential for recall bias in dietary consumption frequency.