Evidence map›Paper›PMID 32813224›Full record

ArticleBehavior research methods2021

Sensor-based proximity metrics for team research. A validation study across three organizational contexts.

Jörg Müller, Julio Meneses, Anne Laure Humbert, Elisabeth Anna Guenther

Open access · hybridAbstract read
In one paragraph

Article in Behavior research methods, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.7field-weighted citation impact, top 25% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed, 5 citations in OpenAlex.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors at 3 institutions in 3 countries.

Jörg MüllerUniversitat Oberta de Catalunya, Internet Interdisciplinary Institute IN3, Barcelona, Spain. jmuller@uoc.edu.ORCID 0000-0001-7727-2117
Julio MenesesUniversitat Oberta de Catalunya, Internet Interdisciplinary Institute IN3, Barcelona, Spain.
Anne Laure HumbertOxford Brookes University, Oxford, UK.
Elisabeth Anna GuentherDepartment of Management, Vienna University of Economics and Business, Vienna, Austria.
Universitat Oberta de Catalunya · ESOxford Brookes University · GBVienna University of Economics and Business · AT

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Wearable sensors are becoming increasingly popular in organizational research. Although validation studies that examine sensor data in conjunction with established social and psychological constructs are becoming more frequent, they are usually limited for two reasons: first, most validation studies are carried out under laboratory settings. Only a handful of studies have been carried out in real-world organizational environments. Second, for those studies carried out in field settings, reported findings are derived from a single case only, thus seriously limiting the possibility of studying the influence of contextual factors on sensor-based measurements. This article presents a validation study of expressive and instrumental ties across nine relatively small R&D teams. The convergent validity of Bluetooth (BT) detections is reported for friendship and advice-seeking ties under three organizational contexts: research labs, private companies, and university-based teams. Results show that, in general, BT detections correlated strongly with self-reported measurements. However, the organizational context affects both the strength of the observed correlation and its direction. Whereas advice-seeking ties generally occur in close spatial proximity and are best identified in university environments, friendship relationships occur at a greater spatial distance, especially in research labs. We conclude with recommendations for fine-tuning the validity of sensor measurements by carefully examining the opportunities for organizational embedding in relation to the research question and collecting complementary data through mixed-method research designs.

Indexed as

BenchmarkingOrganizationsHumansSurveys and QuestionnairesBluetoothMixed-methodsOrganizational contextTeam scienceWearable sensors

Identifiers

PMID32813224
PMCPMC8062328
OpenAlexW3055098653

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.