Networks and the Diffusion of Pro-Social Innovations

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Transcript Networks and the Diffusion of Pro-Social Innovations

Networks and the Diffusion of Pro-Social Innovations

M A R I S S A K I N G Y A L E S C H O O L O F M A N A G E M E N T

Classic S-Shaped Diffusion Curve

Rogers. 1995. Diffusion of Innovations Time

Home PC Refrigerator Air conditioner Cellular Phone Sources: PC, refrigerator, & cell phone: Lilien 1999; Air conditioner Sulltan 1990;

Framework for Thinking About Endogenous Diffusion

 Structure  Underlying network  Product   Simple Contagion Complex Contagion- Roger’s Five Factors  Mechanisms   Learning Possession  Context  Physical and Social Environment

S ame Framework Different Products and Contexts

     Antislavery organizations King, Marissa and Heather Haveman. 2008. “Antislavery in America: The Press, the Post, and the Pulpit, 1790 1840.” Administrative Science Quarterly 53:492-528  Cooperatives in the early 1900s Schneiberg, Marc, Marissa King and Thomas Smith. 2008. Social Movements and Organizational Forms: Agrarian Protest and Cooperative Alternatives to Corporate Hierarchies in Three American Industries.” American Sociological Review 73:635-667.

  Autism King, Marissa and Peter Bearman. 2011. “Socioeconomic Status and the Increased Prevalence of Autism in California. American Sociological Review. 76:320-346.

Liu, Kayuet, Marissa King, and Peter Bearman. 2010. “Social Influence and the Increased Prevalence of Autism Diagnosis.” American Journal of Sociology. 115: 1387-1434.

  Antidepressants, stimulants, & antipsychotics King, Marissa, Joseph Ross, Connor Essick, and Peter Bearman. Forthcoming.“Physician Conflicts of Interest and Psychotropic Prescribing.” BMJ King, Marissa and Peter Beaman. Conflict of Interest Policies and the Diffusion of Stimulant, Antidepressant, and Antipsychotic Medications.

*Sanitation facilities, fuel efficient cook stoves, and solar lanterns in India *

Roadmap

   Overview of framework  Structure   Product Mechanisms  Context 2 Cases   Potty Project-Sanitation facilities in Bhubansewar SEWA Hariyali Project-200,000 Fuel efficient cook stoves and solar lanterns Breakout Conclusion and experimental design

Structure Social network analysis:

• • • • • • Both a theory and a method Is motivated by a structural intuition based on ties linking actors Social world as patterns or regularities among interacting units • Focuses on how patterns shape behaviors Is grounded in systematic empirical data Draws heavily on graphic imagery Relies on the use of mathematical and/or computational models.

Structure  Product  Mechanisms  Context

Structure: Why do Networks Matter?

Structure  Product  Mechanisms  Context

Structure: Why do Networks Matter?

Structure  Product  Mechanisms  Context Bearman, Moody, and Stovel 2001

Structure: Strong and Weak Ties Structural meaning (population level)

• Strong ties produce triadic closure • Weak ties connect often connect distinct network clusters • Small worlds

Relational meaning (dyadic)

• Weak ties are acquaintances who you interact with less frequently • Weak ties connect otherwise socially distant actors • Betweeness centrality • Strong ties are close friends, family, etc. who you likely have an affective bond with and trust • Degree centrality

Different types of ties have very different implications in diffusion processes

Structure  Product  Mechanisms  Context

Centrality example: Colorado Springs Node size proportional to betweenness centrality Graph is 27% centralized Centrality example: Add Health Node size proportional to betweenness centrality Graph is 45% centralized Rothenberg et al 1995 Structure  Product  Mechanisms  Context Bearman, Moody, and Stovel 2001

Random seeding vs. Influentials

 Influentials- Some individuals have a disproportionate number of ties  Social networks tend to be scale-free and have long right tail  Targeting influentials best way to encourage diffusion  Random Seeding  Identifying influentials is next to impossible so better off saving the money/resources you would allocate to them and randomly seed  Single exposure/endorsement from one individual not as powerful as multiple exposures from several individuals Slide from Paul Adams “The Real Life Social Network”

But Product Characteristics (What’s Diffusing) Also Matters….

S IMPLE

• • • •

C ONTAGION

Standard epidemiological models Examples include spread of easily transmittable information or disease that spread through simple contact Mass marketing and broadcast diffusion Weak ties

C OMPLEX

C ONTAGION

Behaviors are costly, risky, or controversial, the willingness to participate may require independent affirmation or reinforcement from multiple sources • • Successful transmission depends on contact with multiple carriers/advocates Social influence and peer effects

Complex Contagion Requires Social Influence/Peer Effects

Structure  Product  Mechanisms  Context Centola and Macy 2007

Product Characteristics: Roger’s Five Factors

Factor Relative Advantage Compatibility Complexity Trialability Observability Structure  Product  Mechanisms  Context Definition How improved an innovation is over the previous generation.

The level of compatibility that an innovation has to be assimilated into an individual’s life.

If the innovation is perceived as complicated or difficult to use, an individual is unlikely to adopt it.

How easily an innovation may be experimented. If a user is able to test an innovation, the individual will be more likely to adopt it.

The extent that an innovation is visible to others. An innovation that is more visible will drive communication among the individual’s peers and personal networks and will in turn create more positive or negative reactions.

Rogers 1995

Mechanisms

 Selection that produces correlated choices must be ruled out  Social learning  Learning by using  Reduced uncertainty since peer’s consumption  Possession  Keeping up with the Jones  Joint consumption Structure  Product  Mechanisms  Context

Context

If you introduce the same innovation on similar networks in different contexts do you see different patterns of diffusion?

• • • King and Bearman (2011) and King and Bearman (2013) both found spatial differences in patterns of diffusion Socioeconomic status Regulatory environments But very few studies examine the diffusion of the same product in different markets

Framework for Thinking About Diffusion

 Structure  Underlying network  Product   Simple Contagion Complex Contagion- Roger’s Five Factors  Mechanisms   Learning Possession  Context  Physical and Social Environment

Case Studies

SEWA Cook Stoves & Lanterns

with Rodrigo Canales & Tony Sheldon

Potty Project

PIs: Sharon Barnhardt, Judy Chevalier, & Mushfiq Mobarak. With Rodrigo Canales

SEWA: Organization Overview

20 SEWA is a cooperative of low-income, self-employed women • • • Mission: organizing women workers for full employment and

self-reliance

Registered as a trade union since 1972 Membership of 1,356,000 women across 7 states in India Slide from Yale GSE SEWA Micro Team

SEWA Hariyali Project

 Problems:   Women and young children spend up to five hours a day in smoky kitchens  Lung and eye health problems are common Women spend hours collecting fuel (wood) for the stoves,.  Use of firewood contributes to deforestation.

 Goal:   Sell 200,000 cook stoves over three years to clients in 4 states clients in 4 states (Gujarat, Rajasthan, UP and Bihar)  Bundled with solar lantern Cook stoves reduce wood requirements and cooktime by ~50%

Obstacles to Adoption

• • The targeted Hariyali demographic is highly price sensitive Rs. 310 per month for 12 months • Significant behavior change required to switch from free to paid product • Health concerns are not sufficiently motivating factor

Existing Network

   By virtue of SEWA membership already have shared common identity Members of each trade elect own representatives to Considerable geographic variation in size

Rajasthan

Bikaner 5,035 Dungarpur 3,300 Jaipur 550 Ajmer 100 Jodhpur 183 9, 168

Bihar

12,0000

UP

Bareli 402 Lucknow 24,100 24, 502

Gujarat

60.8% Rural 39.2% Urban 519,309

Current Sales & Reporting Method

Salesperson visit village and does demonstration, members raise of hands to signal interest (V, M, O)

V M O Anand S

12 425 47 15 13 20 12 13 14 17 455 293 440 250 250 260 440 53 54 22 25 13 20 43

%

4 11.05

22 24 13 14 11 11 36 11.64

18.4

5 10 5.2

7.69

9.77

V M Bodeli O S %

10 237 8 228 11 353 6 154 18 561 9 248 3 64 18 515 9 0 1 0 3 2 1 0 0 0 0 0 0 0 0 0

V M Surendranagar O S %

3.79 3 128 0 7 169 0.84 9 197 1.29 5 149 0.17 4 91 0 0 0 0 0 0.19 0 0 0 1 5 2 0 9 3 0 0 0 0 0 5 3 2 2 0

V M O Mahesana S %

0.78 7 140 5.32 8 182 1.52 6 141 3.35 4 71 2.19 7 127 0 10 173 0 13 204 0 20 415 10 0 11 7 17 8 17 23 22 16 16 0 3 0 0 0 7.14

6.04

4.96

23.94

6.29

9.82

11.27

3.85

Network Potential

 SEWA already has existing network and information about network members  Relatively variability in village size  Variability in connectedness between villages  Product characteristics make cook stoves and lanterns good candidates for diffusion  Visibility and trialability

Potty Project

Diffusion Analysis and Policy Evaluation with Rodrigo Canales

Problem

 45% of households use either public or communal toilets in the slums of Bhubaneswar and Cuttack  53% of these toilets are either “dirty” or “very dirty’ & one was completely non-functional  Households dissatisfied with the cleanliness were the most likely to practice open defecation  30% of households reported doing so Barnhardt, Chevalier & Mobarak

Potty Project

 Gates Foundation commissioned Quicksand Design Studio to conduct in-depth research into the behaviors, attitudes, and beliefs surrounding sanitation in low income urban India in 10 slums in 5 cities in India.

Photos: Quicksand reprinted in Wall Street Journal

Potty Project

 Based on their research they designed new sanitation facility prototype Design: Quicksand reprinted in Wall Street Journal

Potty Project

 Barnhardt, Chevalier & Mobarak are utilizing Quicksand’s insights in a field experiment

Paid Manager Cooperative Management

Improved Facilities Basic New Facilities Basic Improved Facilities Enhanced New Facilities Enhanced • • Basic facilities include adequate gender-separate toilets and washbasins, sufficient lighting and ventilation & enough water for all services Improved facilities will include bathing, child toilets, menstruation waste • Experiment will also include discount coupons and varying pricing structure (monthly passes vs. pay-per-use)

Why Networks Matter

Quicksand pottyproject.in

Network Context

 Lots of social cleavages  Existing networks critical for both initiating use and creating community ownership to encourage sustainability  Old facilities have existing network of users, new facilities do not  Network data from household survey

Study Design

SEWA

Context: How much does the importance of social influence vary by area and population ?

Product: Give loaner cook stoves to seed network

Structure and Mechanisms(?)

Sales Pitch from Alter

Random Seed Influentials No Network Seeding

No Sales Pitch from Alter

Sales pitch from outsider

Potty Project

Context: How much does the importance of social influence vary by area, toilet design, and composition of population ?

Product: Use vouchers for facility (much like drug companies)

Structure and Mechanisms(?)

Sales Pitch from Alter

Random Seed Influentials No Network Seeding Sales pitch from outsider

No Sales Pitch from Alter

Hariyali & Potty Project

Additional research opportunities:

 Product abandonment  How do networks change after introduction of new technology?

 Both projects will include extensive fieldwork and project evaluations

Thanks!