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Essays in Social Networks, Behavior ...

Krishnan, Nanjundi Karthick,

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Essays in Social Networks, Behavior Change and Technology Adoption /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Essays in Social Networks, Behavior Change and Technology Adoption // Nanjundi Karthick Krishnan.
Author:	Krishnan, Nanjundi Karthick,
Description:	1 electronic resource (165 pages)
Notes:	Source: Dissertations Abstracts International, Volume: 87-03, Section: B.
Contained By:	Dissertations Abstracts International87-03B.
Subject:	Behavioral sciences. -
Online resource:	https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32271731
ISBN:	9798291564806

Essays in Social Networks, Behavior Change and Technology Adoption /
Krishnan, Nanjundi Karthick,

Essays in Social Networks, Behavior Change and Technology Adoption /Nanjundi Karthick Krishnan. - 1 electronic resource (165 pages)

Source: Dissertations Abstracts International, Volume: 87-03, Section: B.

It has long been argued that who we are, our values and behaviors, is shaped by the web of relationships we are a part of . Human essence is indeed a function of our social interactions, our roles and place in society. Modern inventions, technology and the world wide web have brought this connected society closer and increased the degree of these connections. Being aware that we live in a connected society, can knowledge of these social ties help improve policy design, policy implementation and policy evaluation? A secondary question then was - what kind of policy would most benefit from such analysis? Policies that are most influenced by social network in general involve sharing information, building social norms, introducing new technology and/or changing behaviors. Therefore in this dissertation, I study different aspects at the intersection of social networks, behavior change and technology adoption, with the end goal to improve policy design and implementation.The foremost challenge in any network study is eliciting an unknown social network. To do so, I built a novel two-stage game christened the Social Network Link Discovery Protocol (SNLDP) that incentivizes truthful revelation of beliefs about one's social network links. The protocol is designed as an improved alternative to survey based self reported instruments currently used for network elicitation. I then piloted this protocol in a large scale entrepreneurship program in Ghana to understand the influence of network ties on program outcomes. The pilot helped validate the SNLDP tool as a viable mechanism for network elicitation. It provided further evidence for how network ties play a crucial role in influencing program outcomes. The pilot helped make a case for using the underlying network topology in program design to improve outcomes.Key aspects of knowing the network topology is that a social planner can identify influential nodes in the network and target their interventions. I programmed an agent-based model (ABM) where individual agents, who are part of a larger network, update beliefs about a new behavior by gathering information from their neighbors and go through a four-stage behavior change process. Through multiple simulations and by using computer-generated random graphs with different features, I was able to study the process and identify Betweenness centrality and Percolation centrality as better measures for targeting than Degree centrality.Social networks are also crucial safety nets for the vulnerable during a negative shock. Similarly, technology often provides alternative solutions during many shock events as well. Studying how the vulnerable remain resilient during such shocks either by adopting new technology or by adapting their behaviors within the social setting they live in provides new insights of how to use these levers better. I study micro and small entrepreneurs in India and their response to the demonetization experiment undertaken by the government in 2016. The study shows that urban dwellers were the most vulnerable and least resilient as they were forced with no choice but to adopt digital payments. This was because most of their customers had the choice to now switch from street vendors and small shop owners to retail outlets that accepted digital payments. On the other hand, rural entrepreneurs not only had the choice between an adopt (new technology) strategy and adapt (loan and barter system) strategy, this choice helped them remain more resilient and recover faster from the shock.

English

ISBN: 9798291564806Subjects--Topical Terms:

529833
Behavioral sciences.
Subjects--Index Terms:

Social networks

Essays in Social Networks, Behavior Change and Technology Adoption /
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520 $a It has long been argued that who we are, our values and behaviors, is shaped by the web of relationships we are a part of . Human essence is indeed a function of our social interactions, our roles and place in society. Modern inventions, technology and the world wide web have brought this connected society closer and increased the degree of these connections. Being aware that we live in a connected society, can knowledge of these social ties help improve policy design, policy implementation and policy evaluation? A secondary question then was - what kind of policy would most benefit from such analysis? Policies that are most influenced by social network in general involve sharing information, building social norms, introducing new technology and/or changing behaviors. Therefore in this dissertation, I study different aspects at the intersection of social networks, behavior change and technology adoption, with the end goal to improve policy design and implementation.The foremost challenge in any network study is eliciting an unknown social network. To do so, I built a novel two-stage game christened the Social Network Link Discovery Protocol (SNLDP) that incentivizes truthful revelation of beliefs about one's social network links. The protocol is designed as an improved alternative to survey based self reported instruments currently used for network elicitation. I then piloted this protocol in a large scale entrepreneurship program in Ghana to understand the influence of network ties on program outcomes. The pilot helped validate the SNLDP tool as a viable mechanism for network elicitation. It provided further evidence for how network ties play a crucial role in influencing program outcomes. The pilot helped make a case for using the underlying network topology in program design to improve outcomes.Key aspects of knowing the network topology is that a social planner can identify influential nodes in the network and target their interventions. I programmed an agent-based model (ABM) where individual agents, who are part of a larger network, update beliefs about a new behavior by gathering information from their neighbors and go through a four-stage behavior change process. Through multiple simulations and by using computer-generated random graphs with different features, I was able to study the process and identify Betweenness centrality and Percolation centrality as better measures for targeting than Degree centrality.Social networks are also crucial safety nets for the vulnerable during a negative shock. Similarly, technology often provides alternative solutions during many shock events as well. Studying how the vulnerable remain resilient during such shocks either by adopting new technology or by adapting their behaviors within the social setting they live in provides new insights of how to use these levers better. I study micro and small entrepreneurs in India and their response to the demonetization experiment undertaken by the government in 2016. The study shows that urban dwellers were the most vulnerable and least resilient as they were forced with no choice but to adopt digital payments. This was because most of their customers had the choice to now switch from street vendors and small shop owners to retail outlets that accepted digital payments. On the other hand, rural entrepreneurs not only had the choice between an adopt (new technology) strategy and adapt (loan and barter system) strategy, this choice helped them remain more resilient and recover faster from the shock.
546 $a English
590 $a School code: 0127
650 4 $a Behavioral sciences. $3 529833
653 $a Social networks
653 $a Behavior change
653 $a Technology adoption
653 $a Agent based modeling
653 $a Diffusion and percolation
653 $a Entrepreneurship development
690 $a 0602
690 $a 0429
690 $a 0501
710 2 $a University of Michigan. $b Economics. $e degree granting institution. $3 3814622
720 1 $a Rosenblat, Tanya $e degree supervisor.
773 0 $t Dissertations Abstracts International $g 87-03B.
790 $a 0127
791 $a Ph.D.
792 $a 2025
856 4 0 $u https://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=32271731