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Essays on social networks, workplace ties and labor productivity/ Swati Sharma

By: Material type: TextTextPublication details: New Delhi: Indian Staistical Institute, 2021Description: x, 181 pagesSubject(s): DDC classification:
  • 23 338.5 Sh531
Online resources:
Contents:
Introduction -- The Ties That Bind Us: Social Networks and Productivity in the Factory -- Using Social Connections and Financial Incentives to Solve Coordination Failure: A Quasi-Field Experiment in India’s Manufacturing Sector -- Workplace ties: A Case Study of Women in Garment Manufacturing in India
Production credits:
  • Guided by Prof. Farzana Afridi
Dissertation note: Thesis (Ph.D.) - Indian Statistical Institute, 2021 Summary: The role of social contacts in finding jobs, career mobility and other labor market outcomes is well acknowledged both theoretically and empirically in labor economics. The existence of individuals’ social networks at their workplace is a pervasive phenomenon, leading to the widespread use of social ties for information, influence and referrals on both sides of the labor market. The central theme of this thesis is to examine the interplay of ‘off-workplace socio-economic interdependence’ and outcomes at the workplace. Understanding this interdependence has the potential to devise policies which can impact labor productivity, especially in developing countries. This thesis divided into five chapters, explores the association and mechanisms through which social networks may manifest themselves at workplace and affect workers’ behavior. These chapters rely on primary data from the garment manufacturing sector (India), in which the production process takes place in large assembly lines involving strong complementarities in labor input. The first chapter gives the introduction and brief description of the thesis. The second chapter uses high-frequency worker-level panel data from garment factories to find a positive impact of workers’ network size on their own and thereby line performance. Our theoretical model and empirical analysis show that monitoring (mentoring) by higher ability types from own social network makes the low-ability type worker put in higher effort, leading to an increase in line output, even in the absence of explicit, individual performance linked incentives. This monitoring (mentoring) takes place through the increased threat of social sanctions arising from the reputation of being a defaulter as own network size in the production line increases. Chapter 3 builds on this context and explores what happens when team performance determines the worker’s financial payoff. We use a minimum effort coordination game framework to show that socially connected teams have higher output and better coordination due to a greater degree of pro-social motivations. We test this model’s predictions through a unique lab-in-the-field experiment design that recruited garment factory workers for a real-time effort-based task and shut down other alternative channels. We find that while social incentives augment team productivity, financial incentives may not always give desired results. These two chapters use the familiarity-of-characteristics based network (caste and residential clusters) as a proxy for socio-economic interdependence. Chapter 4, on the other hand, explores actual connections and interaction patterns of the garment factory workers (horizontal and vertical ties), focusing on women, a group that has been historically under-represented at managerial positions. We find that women’s personal ties exhibit patterns inimical to career advancement, given the management’s dependence on in-house referrals (who are mostly males) for recruitment and promotion. The fifth chapter concludes and summarizes the policy implications. It also discusses future research on social networks and on-the-job outcomes for historically disadvantaged groups (such as women). The micro-econometric data used in this thesis is unique and innovative in itself (whether from factories or experiment design). Nevertheless, the key findings apply to situations where production occurs in large teams with limited observability of peers’ effort. This thesis contributes to the literature on worker incentives, management practices, and firm behavior when workers are complements and informal channels are prevalent for accessing information and influence in the labor market
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Thesis (Ph.D.) - Indian Statistical Institute, 2021

Introduction -- The Ties That Bind Us: Social Networks and Productivity in the Factory -- Using Social Connections and Financial Incentives to Solve Coordination
Failure: A Quasi-Field Experiment in India’s Manufacturing Sector -- Workplace ties: A Case Study of Women in Garment Manufacturing in India

Guided by Prof. Farzana Afridi

The role of social contacts in finding jobs, career mobility and other labor market outcomes is well acknowledged both theoretically and empirically in labor economics.
The existence of individuals’ social networks at their workplace is a pervasive phenomenon, leading to the widespread use of social ties for information, influence and
referrals on both sides of the labor market. The central theme of this thesis is to examine the interplay of ‘off-workplace socio-economic interdependence’ and outcomes at
the workplace. Understanding this interdependence has the potential to devise policies which can impact labor productivity, especially in developing countries.
This thesis divided into five chapters, explores the association and mechanisms
through which social networks may manifest themselves at workplace and affect workers’ behavior. These chapters rely on primary data from the garment manufacturing
sector (India), in which the production process takes place in large assembly lines
involving strong complementarities in labor input. The first chapter gives the introduction and brief description of the thesis. The second chapter uses high-frequency
worker-level panel data from garment factories to find a positive impact of workers’
network size on their own and thereby line performance. Our theoretical model and
empirical analysis show that monitoring (mentoring) by higher ability types from own
social network makes the low-ability type worker put in higher effort, leading to an
increase in line output, even in the absence of explicit, individual performance linked
incentives. This monitoring (mentoring) takes place through the increased threat of
social sanctions arising from the reputation of being a defaulter as own network size
in the production line increases. Chapter 3 builds on this context and explores what
happens when team performance determines the worker’s financial payoff. We use a
minimum effort coordination game framework to show that socially connected teams
have higher output and better coordination due to a greater degree of pro-social motivations. We test this model’s predictions through a unique lab-in-the-field experiment design that recruited garment factory workers for a real-time effort-based task and
shut down other alternative channels. We find that while social incentives augment
team productivity, financial incentives may not always give desired results. These
two chapters use the familiarity-of-characteristics based network (caste and residential clusters) as a proxy for socio-economic interdependence. Chapter 4, on the other
hand, explores actual connections and interaction patterns of the garment factory
workers (horizontal and vertical ties), focusing on women, a group that has been historically under-represented at managerial positions. We find that women’s personal
ties exhibit patterns inimical to career advancement, given the management’s dependence on in-house referrals (who are mostly males) for recruitment and promotion.
The fifth chapter concludes and summarizes the policy implications. It also discusses
future research on social networks and on-the-job outcomes for historically disadvantaged groups (such as women).
The micro-econometric data used in this thesis is unique and innovative in itself (whether from factories or experiment design). Nevertheless, the key findings apply to situations where production occurs in large teams with limited observability of peers’ effort. This thesis contributes to the literature on worker incentives, management practices, and firm behavior when workers are complements and informal channels are prevalent for accessing information and influence in the labor market

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