Lindsey Cameron

Lindsey Cameron
  • Assistant Professor of Management

Contact Information

  • office Address:

    2027 SH-DH
    3620 Locust Walk
    Philadelphia, PA 19104

Research Interests: algorithms, gig economy/future of work, contemporary careers, financial well-being, labor issues, field research

Links: Personal Website, CV

Overview

Lindsey D. Cameron is an assistant professor of management at the Wharton School, University of Pennsylvania. Her research focuses on how changes in the modern workplace (e.g., algorithms/machine learning, short-term employment contracts, variable pay) affect work and workers. She recently completed a four-year ethnography of the largest employer in the gig economy, the ride-hailing industry, exploring how algorithms are fundamentally reshaping the nature of managerial control and how workers navigate this new workplace. Her research program is motivated by identifying and understanding how these changes affect how work is being organized and experienced by workers in a myriad of ways. She is currently studying how the pandemic is affecting gig workers as well as a cross-comparisons of ride-hailing workers’ experience on three continents.

In her prior career, Lindsey spent over a decade in the U.S. intelligence and diplomatic communities as a technical and political analyst and completed several overseas assignments in the Middle East, Africa, and Europe. She holds a PhD in Management from the University of Michigan, MS in Engineering Management from the George Washington University, and an SB from Harvard University in Electrical Engineering and Computer Science. She also studied Arabic intensively at the American University of Cairo.

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Research

Pennsylvania State Senate Democratic Policy Committee Hearing: Testimony on Ride-hailing Companies

Teaching

Current Courses

  • MGMT932 - Prosem In Mgmt

    This course is designed to provide students with an understanding of the methodological approaches we commonly think of as qualitative, with special emphasis on ethnography, semi- structured interviews, case studies, content analysis, and mixed-methods research. The course will cover the basic techniques for collecting, interpreting, and analyzing qualitative (i.e. non-numerical) data. In the spring quarter, the course will operate on two interrelated dimensions, one focused on the theoretical approaches to various types of qualitative research, the other focused on the practical techniques of data collection, such as identifying key informants, selecting respondents, collecting field notes and conducting interviews. In the fall semester, the course will operate on two interrelated dimensions, one focused on the theoretical approaches on building arguments and theory from qualitative data, the other focused on the practical techniques of data collection, such as analyzing data, writing, and presenting findings. Note: This class is part of a two-part sequence which focuses on qualitative data collection and analysis. The first of this course, offered in the Spring, focuses on data collection and the second half of the course, offered the following Fall, will focus on qualitative data analysis. Each course is seven weeks long. Students may take either class independently or consecutively.

    MGMT932001 ( Syllabus )

Past Courses

  • MGMT612 - MANAGING EMERG ENTRPRSE

    This course is about managing during the early stages of an enterprise, when the firm faces the strategic challenge of being a new entrant in the market and the organizational challenge of needing to scale rapidly. The enterprises of interest in this course have moved past the purely entrepreneurial phase and need to systematically formalize strategies and organizational processes to reach maturity and stability, but they still lack the resources of a mature firm. The class is organized around three distinct but related topics that managers of emerging firms must consider: strategy, human and social capital, and global strategy.

  • MGMT932 - PROSEM IN MGMT

    This course is designed to provide students with an understanding of the methodological approaches we commonly think of as qualitative, with special emphasis on ethnography, semi- structured interviews, case studies, content analysis, and mixed-methods research. The course will cover the basic techniques for collecting, interpreting, and analyzing qualitative (i.e. non-numerical) data. In the spring quarter, the course will operate on two interrelated dimensions, one focused on the theoretical approaches to various types of qualitative research, the other focused on the practical techniques of data collection, such as identifying key informants, selecting respondents, collecting field notes and conducting interviews. In the fall semester, the course will operate on two interrelated dimensions, one focused on the theoretical approaches on building arguments and theory from qualitative data, the other focused on the practical techniques of data collection, such as analyzing data, writing, and presenting findings. Note: This class is part of a two-part sequence which focuses on qualitative data collection and analysis. The first of this course, offered in the Spring, focuses on data collection and the second half of the course, offered the following Fall, will focus on qualitative data analysis. Each course is seven weeks long. Students may take either class independently or consecutively.

Awards and Honors

  • Industry Studies Association’s Giarratani Rising Star Award, 2020
  • MOC Division Best Paper Award Nominee, 2020
  • Wharton Dean’s Research Grant, 2020
  • Psychology of Technology Dissertation Award, 2020
  • Likert Dissertation Prize, 2020
  • Mack Institute Research Fellowship for Innovation Management, 2019
  • Center for Advanced Studies of the Behavioral Sciences Summer Institute, Stanford University, 2019
  • OMT Above and Beyond the Call of Duty Reviewer Award, 2019
  • Ruth and Gilbert Whitaker Doctoral Fellowship, 2018-2019
  • OB Doctoral Student Consortium, 2018
  • Pre-Doctoral Fellow, Wharton School, University of Pennsylvania, 2017-2018
  • Bouchet Honor Society, 2017
  • Rotary Ambassadorial Scholar, 2005
  • Coca Cola National Scholar, 2001
  • USA Today All-Academic Team, 2001
  • Siemens-Westinghouse (formerly Intel) Competition, Semi-finalist, 2001
  • Bill Gates Millenium Scholar, 2000

In the News

Activity

Latest Research

Lindsey Cameron (2020), Allies or Adversaries?: Making Meaning of Work in the ‘New’ Gig Employment Relationship, In Guclu Atinc (Ed.), Proceedings of the Eightieth Annual Meeting of the Academy of Management. Online ISSN: 2151-6561.
All Research

Awards and Honors

Industry Studies Association’s Giarratani Rising Star Award 2020
All Awards