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The Lives and Deaths of Jobs: Technical Interdependence and Survival in a Job Structure

Author

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  • Sharique Hasan

    (Stanford Graduate School of Business, Stanford University, Stanford, California 94305)

  • John-Paul Ferguson

    (Stanford Graduate School of Business, Stanford University, Stanford, California 94305)

  • Rembrand Koning

    (Stanford Graduate School of Business, Stanford University, Stanford, California 94305)

Abstract

Prior work has considered the properties of individual jobs that make them more or less likely to survive in organizations. Yet little research examines how a job’s position within a larger job structure affects its life chances and thus the evolution of the larger job structure over time. In this article, we explore the impact of technical interdependence on the dynamics of job structures. We argue that jobs that are more enmeshed in a job structure through these interdependencies are more likely to survive. We test our theory on a quarter century of personnel and job description data for the nonacademic staff of one of America’s largest public universities. Our results provide support for our key hypotheses: jobs that are more enmeshed in clusters of technical interdependence are less likely to die. At the same time, being part of such a cluster means that a job is more vulnerable if its neighbors disappear. And the “protection” of technical interdependence is contingent: it does not hold in the face of strategic change or other organizational restructurings. We offer implications of our analyses for research in organizational performance, careers, and labor markets.

Suggested Citation

  • Sharique Hasan & John-Paul Ferguson & Rembrand Koning, 2015. "The Lives and Deaths of Jobs: Technical Interdependence and Survival in a Job Structure," Organization Science, INFORMS, vol. 26(6), pages 1665-1681, December.
  • Handle: RePEc:inm:ororsc:v:26:y:2015:i:6:p:1665-1681
    DOI: 10.1287/orsc.2015.1014
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    Cited by:

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    2. Aruna Ranganathan, 2023. "When the Tasks Line Up: How the Nature of Supplementary Tasks Affects Worker Productivity," ILR Review, Cornell University, ILR School, vol. 76(3), pages 556-585, May.
    3. Sabrina Aufiero & Giordano De Marzo & Angelica Sbardella & Andrea Zaccaria, 2023. "Mapping job complexity and skills into wages," Papers 2304.05251, arXiv.org.
    4. Tobias Schultheiss & Uschi Backes‐Gellner, 2023. "Different degrees of skill obsolescence across hard and soft skills and the role of lifelong learning for labor market outcomes," Industrial Relations: A Journal of Economy and Society, Wiley Blackwell, vol. 62(3), pages 257-287, July.
    5. Emelie Hane-Weijman & Rikard H. Eriksson & David Rigby, 2020. "How do occupational relatedness and complexity condition employment dynamics in periods of growth and recession?," Papers in Evolutionary Economic Geography (PEEG) 2011, Utrecht University, Department of Human Geography and Spatial Planning, Group Economic Geography, revised Mar 2020.
    6. Steven J. Kahl & Brayden G. King & Greg Liegel, 2016. "Occupational Survival Through Field-Level Task Integration: Systems Men, Production Planners, and the Computer, 1940s–1990s," Organization Science, INFORMS, vol. 27(5), pages 1084-1107, October.
    7. Jaeho Choi & Anoop Menon & Haris Tabakovic, 2021. "Using machine learning to revisit the diversification–performance relationship," Strategic Management Journal, Wiley Blackwell, vol. 42(9), pages 1632-1661, September.
    8. Cao, Ruiqing & Koning, Rembrand & Nanda, Ramana, 2020. "Biased sampling of early users and the direction of startup innovation," SocArXiv g6wjn, Center for Open Science.

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