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GOLD TREATMENT PROJECT
ANALYSIS WITH INNOVATION
RESISTANCE MODEL
PRESENTED BY:
Group 9
Alive Jenny Valet (45)
Sharath Kumar (34)
Shekhar Jyoti Das (35)
Sirajuddin (37)
Babbure Sachith (35)
• AgroStar is Indian AgTech start-up provides a complete range
of agri solutions at the fingertips of farmers.
• AgroStar’s tech platform provides service and agri input
products to significantly improve their productivity and
income.
• Currently operates in the states of Gujarat, Maharashtra, and
Rajasthan and has over 5 Lakh farmers on its digital
platform.
• Can avail agri solutions for their entire crop life-cycle with a
simple “missed call” or through its Android app,
• Aims to provide wide range of inputs delivered at doorsteps,
world-class agronomy guidance and also access to market
linkages and credit.
GOLD TREATMENT
• Farmer is given continuous support is through calls and free farm assistance is given
• Provided gold treatment kit which is required for the whole life cycle of the crop.
• The kit is available in two forms the farmer can take in cash or credit where they need to
submit various documents.
• The main objective is to provide the farmers credit facilities on an unsecured and easy process
saving time.
ACCORDING TO MODEL OF INNOVATION
RESISTANCE:
Perceived Innovation
Characteristics
Consumer
characteristics
Propagation
Mechanism
Perceived Innovation
Characteristics
Consumer
Dependent
Relative
Advantage
Compatibility
Perceived
Risk
Complexity
Adoption of
other
innovation
Consumer
Independent
Triability
Divisibility
Reversibility
i) Relative Advantage
• free assistance
• quick response
• Fast credit approval
• High advantage
Result - Low
resistance.
ii) Compatibility
• Highly Compatible
Result – Low
resistance
iii) Perceived Risk
• Harvest based repayment
• Unpredictable climate
• High perceived risk
Result – High resistance
iv) Complexity
• Easy to access & understand
• Low complexity
Result – Low resistance
iv) Effects
• More profitable
• Low complexity
Result – Low
resistance
Consumer Dependent
Consumer Independent
i) Triability
• Easily triable
• Old system
Result – Low
resistance
ii) Divisibility
• Can start with small
land holding
• Credit for Agri
elements
• High divisibility
Result – Low resistance
iii) Reversibility
• Crop fails or farmer not
satisfied
• No Reversibility
Result – High resistance
Consumer
Characteristics
Psychological
Variables
Perception
Motivation
Personality
Belief
Previous
Experience
Demographics
Age
Education
Income
i) Perception
• Need for Credit Operations
• Need for Assistance
• Perceives need for this
Result - Low resistance.
ii) Motivation
• Word of mouth in rural
• Totally New Product
• Disrupts normal usage
patterns
Result – High resistance
iii) Personality
• Farmers self confident
• Eager for new experience
Result – Low resistance
iv) Belief
• Positive belief for the innovation
• The innovation solves problems
Result – Low resistance
v) Previous Experience
• Sharing of True Success Stories
• Positive previous experience
Result – Low resistance
Psychological
Variables
Demographics
i) Age
• Promoting
service by
various modes
• Young &
middle aged
farmers easily
adapt product
Result – High
Resistance for old
aged while young
& middle aged
accepting the
product
iii) Income
• High income
farmers accept
innovation
Result – Low income
farmers resistant to
innovation since no
income support
ii) Education
• Educated farmers try
new Products
• Result – Educated
farmers accept new
Propagation
Mechanism
Types
Marketer
Controlled vs
Non Marketer
Controlled
Personal vs
Impersonal
Characteristics
Credibility
Clarity
Source
Similarity
Informativeness
i) Marketer Controlled vs Non Marketer Controlled
• Marketer controlled propagation such as advertising & testimonials
reduce consumer resistance
• High effectiveness of mechanisms means reducing innovation resistance
ii) Personal vs Impersonal
• Direct Contact with customer
• Disrupts normal usage
patterns
Types
Characteristics
Q & A
THANK YOU

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GOLD TREATMENT PROJECT ANALYSIS WITH INNOVATION RESISTANCE MODEL

  • 1. GOLD TREATMENT PROJECT ANALYSIS WITH INNOVATION RESISTANCE MODEL PRESENTED BY: Group 9 Alive Jenny Valet (45) Sharath Kumar (34) Shekhar Jyoti Das (35) Sirajuddin (37) Babbure Sachith (35)
  • 2. • AgroStar is Indian AgTech start-up provides a complete range of agri solutions at the fingertips of farmers. • AgroStar’s tech platform provides service and agri input products to significantly improve their productivity and income. • Currently operates in the states of Gujarat, Maharashtra, and Rajasthan and has over 5 Lakh farmers on its digital platform. • Can avail agri solutions for their entire crop life-cycle with a simple “missed call” or through its Android app, • Aims to provide wide range of inputs delivered at doorsteps, world-class agronomy guidance and also access to market linkages and credit.
  • 3. GOLD TREATMENT • Farmer is given continuous support is through calls and free farm assistance is given • Provided gold treatment kit which is required for the whole life cycle of the crop. • The kit is available in two forms the farmer can take in cash or credit where they need to submit various documents. • The main objective is to provide the farmers credit facilities on an unsecured and easy process saving time.
  • 4. ACCORDING TO MODEL OF INNOVATION RESISTANCE: Perceived Innovation Characteristics Consumer characteristics Propagation Mechanism
  • 5. Perceived Innovation Characteristics Consumer Dependent Relative Advantage Compatibility Perceived Risk Complexity Adoption of other innovation Consumer Independent Triability Divisibility Reversibility i) Relative Advantage • free assistance • quick response • Fast credit approval • High advantage Result - Low resistance. ii) Compatibility • Highly Compatible Result – Low resistance iii) Perceived Risk • Harvest based repayment • Unpredictable climate • High perceived risk Result – High resistance iv) Complexity • Easy to access & understand • Low complexity Result – Low resistance iv) Effects • More profitable • Low complexity Result – Low resistance Consumer Dependent Consumer Independent i) Triability • Easily triable • Old system Result – Low resistance ii) Divisibility • Can start with small land holding • Credit for Agri elements • High divisibility Result – Low resistance iii) Reversibility • Crop fails or farmer not satisfied • No Reversibility Result – High resistance
  • 6. Consumer Characteristics Psychological Variables Perception Motivation Personality Belief Previous Experience Demographics Age Education Income i) Perception • Need for Credit Operations • Need for Assistance • Perceives need for this Result - Low resistance. ii) Motivation • Word of mouth in rural • Totally New Product • Disrupts normal usage patterns Result – High resistance iii) Personality • Farmers self confident • Eager for new experience Result – Low resistance iv) Belief • Positive belief for the innovation • The innovation solves problems Result – Low resistance v) Previous Experience • Sharing of True Success Stories • Positive previous experience Result – Low resistance Psychological Variables Demographics i) Age • Promoting service by various modes • Young & middle aged farmers easily adapt product Result – High Resistance for old aged while young & middle aged accepting the product iii) Income • High income farmers accept innovation Result – Low income farmers resistant to innovation since no income support ii) Education • Educated farmers try new Products • Result – Educated farmers accept new
  • 7. Propagation Mechanism Types Marketer Controlled vs Non Marketer Controlled Personal vs Impersonal Characteristics Credibility Clarity Source Similarity Informativeness i) Marketer Controlled vs Non Marketer Controlled • Marketer controlled propagation such as advertising & testimonials reduce consumer resistance • High effectiveness of mechanisms means reducing innovation resistance ii) Personal vs Impersonal • Direct Contact with customer • Disrupts normal usage patterns Types Characteristics