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Paige Tsai

Paige Tsai

Doctoral Student

Doctoral Student

Paige Tsai is PhD candidate in the Technology and Operations Management Unit at Harvard Business School. Her research broadly examines the effects of job design on employees. Her current projects explore the financial and well-being effects of holding multiple jobs, the impact of peer-to-peer scheduling fairness on employee turnover, and the effects of bonus incentives on worker productivity. 

Prior to pursuing her doctoral degree, Paige completed an M.B.A. at Harvard Business School, an A.B. in Psychology from Princeton University, and held positions at Dropbox, Uber, and IDEO in San Francisco.
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Paige Tsai is PhD candidate in the Technology and Operations Management Unit at Harvard Business School. Her research broadly examines the effects of job design on employees. Her current projects explore the financial and well-being effects of holding multiple jobs, the impact of peer-to-peer scheduling fairness on employee turnover, and the effects of bonus incentives on worker productivity. 

Prior to pursuing her doctoral degree, Paige completed an M.B.A. at Harvard Business School, an A.B. in Psychology from Princeton University, and held positions at Dropbox, Uber, and IDEO in San Francisco.
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Paige Tsai
Contact Information
Featured Work Publications Teaching
The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing

To cope with the economic pressures of inflation and rising costs of living, it has become increasingly common for individuals to rely on multiple jobs. This trend has been further fueled by the growing availability of remote work, gig opportunities, and part-time positions, which have made earning extra income more accessible than ever. While these flexible work arrangements have been shown to boost productivity and drive operational performance, their impact on employees remains less explored — in particular, little is known about how managing multiple jobs shapes employees’ lives outside of work and influences their overall wellbeing. We combine survey data and transaction-level analysis from 90,548 customers of a nationwide bank to examine how employees live their lives outside of work. Specifically, we investigate whether people with multiple jobs spend their labor income differently than those earning the same total income from a single job. 

The Impact of Scheduling Fairness on Employee Turnover

Employee turnover remains one of the most persistent challenges across industries, with the leisure and hospitality sector experiencing some of the highest quit rates in the United States. This issue is particularly pronounced in restaurants, where the average tenure of a restaurant worker is approximately 110 days and nearly 75% of restaurant employees leave within one year. This high turnover comes at a steep cost — estimated at $5,684 per departing employee in 2006, factoring in recruitment, hiring, training, lost productivity, and operational disruptions. Although prior work has focused on how the overall desirability of a schedule affects workers, the impact of a schedule’s desirability relative to that of coworkers has not been explored. In this research, we examine the extent to which the relative fairness of schedules — a facet of operations management that can be readily observed and compared by employees — influences employee turnover.

Paige Tsai is PhD candidate in the Technology and Operations Management Unit at Harvard Business School. Her research broadly examines the effects of job design on employees. Her current projects explore the financial and well-being effects of holding multiple jobs, the impact of peer-to-peer scheduling fairness on employee turnover, and the effects of bonus incentives on worker productivity. 

Prior to pursuing her doctoral degree, Paige completed an M.B.A. at Harvard Business School, an A.B. in Psychology from Princeton University, and held positions at Dropbox, Uber, and IDEO in San Francisco.
Featured Work
The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing

To cope with the economic pressures of inflation and rising costs of living, it has become increasingly common for individuals to rely on multiple jobs. This trend has been further fueled by the growing availability of remote work, gig opportunities, and part-time positions, which have made earning extra income more accessible than ever. While these flexible work arrangements have been shown to boost productivity and drive operational performance, their impact on employees remains less explored — in particular, little is known about how managing multiple jobs shapes employees’ lives outside of work and influences their overall wellbeing. We combine survey data and transaction-level analysis from 90,548 customers of a nationwide bank to examine how employees live their lives outside of work. Specifically, we investigate whether people with multiple jobs spend their labor income differently than those earning the same total income from a single job. 

The Impact of Scheduling Fairness on Employee Turnover

Employee turnover remains one of the most persistent challenges across industries, with the leisure and hospitality sector experiencing some of the highest quit rates in the United States. This issue is particularly pronounced in restaurants, where the average tenure of a restaurant worker is approximately 110 days and nearly 75% of restaurant employees leave within one year. This high turnover comes at a steep cost — estimated at $5,684 per departing employee in 2006, factoring in recruitment, hiring, training, lost productivity, and operational disruptions. Although prior work has focused on how the overall desirability of a schedule affects workers, the impact of a schedule’s desirability relative to that of coworkers has not been explored. In this research, we examine the extent to which the relative fairness of schedules — a facet of operations management that can be readily observed and compared by employees — influences employee turnover.

Working Papers
  • Tsai, Paige, and Ryan W. Buell. "The Hidden Costs of Working Multiple Jobs: Implications for Spending Behavior and Wellbeing." Harvard Business School Working Paper, No. 25-036, January 2025. (Revised March 2025.) View Details
Teaching
Technology and Operations Management - MBA Required Curriculum

This course enables students to develop the skills and concepts needed to ensure the ongoing contribution of a firm's operations to its competitive position. It helps them to understand the complex processes underlying the development and manufacture of products as well as the creation and delivery of services.

Topics encompass:

  • Process analysis
  • Cross-functional and cross-firm integration
  • Product development
  • Information technology
  • Technology and operations strategy

 

Related Link: About the Course
Overview
Paige served as the Head Teaching Fellow for the Technology and Operations Management MBA Required Curriculum course in 2024 and as a junior Teaching Fellow in 2023, supporting more than 900 first-year MBA students each year. In these roles, she developed problem set and review session materials, led weekly review sessions, and held regular office hours.
Additional Information
  • CV
Area of Study
  • Technology and Operations Management
Areas of Interest
  • behavioral operations
  • operations management
  • service operations
  • Industries
  • hotels & motels
  • restaurant
  • retailing
  • service industry
Additional Information
CV

Area of Study

Technology and Operations Management

Areas of Interest

behavioral operations
operations management
service operations
 More

Industries

hotels & motels
restaurant
retailing
service industry
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