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Cited by 201

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Seeing the Forest for the Trees: Exploratory Learning, Mobile Technology, and Knowledge Workers’ Role Integration Behaviors

Reyt, Jean-Nicolas, Wiesenfeld, Batia M.·2015·Academy of Management Journal

Abstract

Role integration is the new workplace reality for many employees. The prevalence of mobile technologies (e.g., laptops, smartphones, tablets) that are increasingly wearable and nearly always “on” makes it difficult to keep role boundaries separate and distinct. We draw upon boundary theory and construal level theory to hypothesize that role integration behaviors shift people from thinking concretely to thinking more abstractly about their work. The results of an archival study of Enron executives’ emails, two experiments, and a multi-wave field study of knowledge workers provide evidence of positive associations between role integration behaviors, higher construal level, and more exploratory learning activities.

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Registry

Crossref · 10.5465/amj.2013.0991

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Metadata

Authors
Reyt, J.-N., & Wiesenfeld, B. M.
Venue
Academy of Management Journal
Published
2015-06
Volume
58
Issue
3
Pages
739-762
ISSN
  • 0001-4273 (ISSN-L)
  • 1948-0989
OpenAlex
W2159339345
Cited by
201
References
11
FWCI
23.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Seeing the Forest for the Trees: Exploratory Learning, Mobile Technology, and Knowledge Workers’ Role Integration Behaviors. https://app.cochat.ai/papers/10.5465/amj.2013.0991
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Reyt, J.-N., & Wiesenfeld, B. M. (2015). Seeing the Forest for the Trees: Exploratory Learning, Mobile Technology, and Knowledge Workers’ Role Integration Behaviors. Academy of Management Journal. https://doi.org/10.5465/amj.2013.0991

Data sources

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.