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

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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.

SKU: 0810-902810032440 Category: Tag:

Description

By Patricia L. Mokhtarian

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.

page: 21 – 37
Prometheus: Critical Studies in Innovation
Volume 20, Issue 1

SKU: 0810-902810032440

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