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Patterns of Telecommuting Engagement and Frequency: A Cluster Analysis of Telecenter Users

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  • Patricia Mokhtarian
  • Ravikumar Meenakshisundaram

Abstract

Cluster analysis of sign-in log data for 115 users of California telecenters was conducted to identify patterns of telecommuting engagement and frequency over a six-month window. Three engagement clusters were identified: Persisters, Decliners, and Dabblers. Four frequency clusters were identified, classified as Low, Medium, High, and Erratic. Nearly half of the Persisters belonged to the Low Frequency cluster, highlighting the need to count not just telecommuters, but telecommuting occasions. Variables significantly associated with cluster membership were identified. Consistent with other research, management-related issues seem to play a substantial role in affecting both the engagement in, and frequency of, telecommuting.

Suggested Citation

  • Patricia Mokhtarian & Ravikumar Meenakshisundaram, 2002. "Patterns of Telecommuting Engagement and Frequency: A Cluster Analysis of Telecenter Users," Prometheus, Taylor & Francis Journals, vol. 20(1), pages 21-37.
  • Handle: RePEc:taf:promet:v:20:y:2002:i:1:p:21-37
    DOI: 10.1080/08109020110110907
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    Cited by:

    1. Tang, Wei & Mokhtarian, Patricia & Handy, Susan, 2008. "The Role of Neighborhood Characteristics in the Adoption and Frequency of Working at Home: Empirical Evidence from Northern California," Institute of Transportation Studies, Working Paper Series qt9rg8w9c4, Institute of Transportation Studies, UC Davis.

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