I have been a volunteer at JaipurFoot for a long time. It is
world’s largest NGO, providing limb caliper fittings to the disabled for free.
So far they have provided caliper fittings to over 1.3 million beneficiaries worldwide. The
organization is headed by Dr. D.R. Mehta, a renowned bureaucrat advising Prime Minister
of India in his days. Dr. Mehta has received numerous awards for his work and
contribution. One of their inventions named JaipurFoot, co-developed with
Stanford, was named among top 50 inventions by TIME magazine in 2009.
The organization caters to roughly about 60,000 new and
revisiting amputees yearly. The NGO has a very efficient cost structure and
supply chain. The organization is spearheaded and funded almost single handedly by Dr. Mehta, through unpredictable government grants, interest income from
NGO’s corpus and, donations, mostly through his personal network.
The challenge/goal is to turn around the fundraising from a
centralized network pivoting around Dr. Mehta to a more distributed network.
At 76, Dr. Mehta is aging and is concerned about the
financial future of the organization. There are a couple of ways the
organization is trying to address the situation. One way is to broaden their
donor base to increase the corpus and two, a likely change in business model
where they charge a minimum amount for each limb caliper fitting.
First Strategy:
Gathering data to broaden the donor base would be relatively easy. The
organization has a ready database of their donors. The donors can be categorized
into two categories largely, i.e. one time donors and repeat donors.
Network analysis can be used on repeat donors to identify:
a) Influencing groups:
These people can be the Hubs/Pivots to propagate the mission of JaipurFoot. They would encourage people to establish stronger ties and donations for
JaipurFoot. They can be encouraged to strengthen ties with passive
groups/people. These groups/people can be identified by using a combination
Whole-Network and Node Centrality Measures:·
- High number of connections (Density)
- High influence and opinion leaders (out-degree centrality)
- Connected to most important/Influential nodes (Eigenvector)
- Outliers who are almost information sink
- Weak-Ties (≥ 2 degrees of separation)
- Identify possible factions/components within the group and adjacent sub-groups
c) Collaborative
groups: Dichotomized data of one-time donors and repeat donors can be combined
and analyzed to:
- Identify collaborators (2 for connections in both sets)
- Identify non-collaborators (1 for connection in either set only)
Based on the outcome of this research campaign groups can be
formed within the organization catering to specific groups, working on
improving the ties between sub-groups, strengthening the ties between outliers
and groups and adding more nodes to the group.
Second Strategy:
Changing the business model to charge minimum amount from beneficiaries can be
difficult. Understanding the willingness to pay of the beneficiaries can be
very challenging as there is no ready database available about the willingness
to pay among the beneficiary amputees. Surveying them would be a challenge, as
they are often located in remote parts of the country and world. They are generally
uneducated with very limited access to technology. This data can be collected
on ongoing basis. Some sample survey /
interview questions could be around:
- How did they learn about JaipurFoot?
- Who influenced them to use JaipurFoot caliper fittings?
- Willingness to share the cost of the limb caliper on 50-50 sharing basis?
- Willingness to pay for caliper during refitting?
- Find the influencers within group and outside group who helped the amputees establish a contact with JaipurFoot (In-Degree and Out-Degree measure).
- Identify the coordinators (Betweenness)
- Understanding the risks of changing the business model based as the NGO has been running of free for all business model since 1968. Dr. Mehta is concerned that trust and recognition among beneficiaries can be damaged easily if the risks are not analyzed thoroughly.
Vishal Kankaria
HULT International Business School
2 comments:
What a worthy cause. And you've done some thoughtful reflection and come up with sensible application of SNA methods. You are well on the way towards helping them decentralize and reduce their dependence on Dr. Mehta. Please post your progress!
Vishal,
This is a wonderful idea, and well worth applying SNA. I would like to know a bit more about the donor database, and how you might figure out how they are connected. Perhaps you could ask donors how they first heard of the organization, and who else they know who donates?
One idea would be to use (assuming you have one) the Facebook page (like Arturo did) and see who is liking the organization and how this overlaps with who is donating.
Good luck!
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