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.
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21 – 37
DOI
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Issues
Also in this issue:
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Do AIs have politics? Thinking about ChatGPT through the work of Langdon Winner
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Creating value through service innovation: an effectual design thinking framework
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Health and medical researchers are willing to trade their results for journal impact factors: results from a discrete choice experiment
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The death and resurrection of manuscript submission systems
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Ryan Jenkins, David Černý and Tomáš Hříbek (eds) Autonomous Vehicle Ethics: The Trolley Problem and Beyond
Patterns of Telecommuting Engagement and Frequency: A Cluster Analysis of Telecenter Users
Original Articles