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Cited by 258

The DOI matches its Crossref record.

Time thieves and space invaders: technology, work and the organization

Towers, Ian, Duxbury, Linda, Higgins, Christopher, Thomas, John·2006·Journal of Organizational Change Management

Abstract

Purpose: This paper aims to investigate the shifting boundaries between two experiential categories – home and work – for office workers. The boundaries are both spatial and temporal, and the paper seeks to analyse how certain kinds of mobile technology are being used in such a way as to make these boundaries increasingly permeable. Design/methodology/approach: The research involved both the collection of quantitative data using a survey tool, and the gathering of qualitative data through in‐depth interviews. Findings: The paper finds that the mobile technology discussed enables work extension – the ability to work outside the office, outside “normal” office hours. This provides flexibility with respect to the timing and location of work, and makes it easier to accommodate both work and family. But at the same time, of course, it also increases expectations: managers and colleagues alike expect staff to be almost always available to do work, which makes it easier for work to encroach on family time, and also leads to a greater workload. The ability to perform work extension is, then, a dual‐edged sword. Practical implications: The paper provides both managers and non‐managers with insight into the effects of providing mobile technology to office workers, and suggests some mechanisms to mitigate negative effects. Originality/value: The paper explores the impact of mobile technologies on non‐mobile office staff.

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Metadata

Authors
Towers, I., Duxbury, L., Higgins, C., & Thomas, J.
Venue
Journal of Organizational Change Management
Publisher
Emerald
Published
2006-09-01
Volume
19
Issue
5
Pages
593-618
ISSN
0953-4814 (ISSN-L)
OpenAlex
W1965689737
Cited by
258
References
0
FWCI
13.83
Type
journal article
Language
en
Open access
closed

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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.