Introducing TechFit

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ILRI

Presented by Adugna Tolera at the Africa-RISING Quick Feed Project Inception Workshop, Addis Ababa, 7-8 May 2012

Technology Business

Introducing TechFit
Adugna Tolera

Africa-RISING Quick Feed Project Inception Workshop, Addis Ababa, 7-8 May 2012

Issue
• Farmers
– Feed a constraint
– Intervention needed
• Researchers
– Technology options
– Basket of technologies available

Match farmers’ context to technology
Score for Score for
technology context
attribute attribute
Land X Land =
Labor X Labor =
Credit X Credit =
Input X Input =
Knowledge X Knowledge =
If technology demands land => lows core for land
If farmers do not have or very small land holding => Low score for land

Technology filter
• Technology options to address feed problem
(list of technologies)

• Pre-filter
– Context relevance X Impact potential score

Main filter
Score for Score for context
technology attribute
attribute
Land X Land =
Labor X Labor =
Credit X Credit =
Input X Input =
Knowledge X Knowledge =
Total =
Rank

Cost benefit analysis
• What does the technology cost?

• What does the technology deliver?

• Is it worthwhile?

Final output
• Indentify promising feed technologies that are
likely to work

• Better understanding of why and why not
technologies work or do not work

This document discusses strategic perspectives on R&D investment. It outlines the current technological environment characterized by globalization, time compression, and technology integration. It then discusses how prior investment in developing capabilities through R&D opens up strategic options for companies to pursue new opportunities or reverse dependencies. Examples are provided of companies like TVS-Suzuki and Xerox that invested in technology to gain independence or a stronger position with collaborators. The conclusion emphasizes that awareness of opportunities alone is not enough, and strategic choice requires previous investment in developing new technological and strategic options.

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Introducing TechFit

1. Introducing TechFit Adugna Tolera Africa-RISING Quick Feed Project Inception Workshop, Addis Ababa, 7-8 May 2012

2. Issue • Farmers – Feed a constraint – Intervention needed • Researchers – Technology options – Basket of technologies available

3. Match farmers’ context to technology Score for Score for technology context attribute attribute Land X Land = Labor X Labor = Credit X Credit = Input X Input = Knowledge X Knowledge = If technology demands land => lows core for land If farmers do not have or very small land holding => Low score for land

4. Technology filter • Technology options to address feed problem (list of technologies) • Pre-filter – Context relevance X Impact potential score

5. Main filter Score for Score for context technology attribute attribute Land X Land = Labor X Labor = Credit X Credit = Input X Input = Knowledge X Knowledge = Total = Rank

6. Cost benefit analysis • What does the technology cost? • What does the technology deliver? • Is it worthwhile?

7. Final output • Indentify promising feed technologies that are likely to work • Better understanding of why and why not technologies work or do not work

Introducing TechFit

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