Human Resources 4.0: Use of Sociometric Badges to Measure Communication Patterns

ŠTĚPÁNEK, Libor, Regina MOIRANO, Marisa A. SANCHEZ and Gastón VILCHES. Human Resources 4.0: Use of Sociometric Badges to Measure Communication Patterns. In Dr. Daniel Alejandro Rossit, Fernando Tohmé, Dr. Gonzalo Mejía Delgadillo. Production Research. 1st ed. Neuveden: Springer International Publishing, 2021, p. 265-279. Communications in Computer and Information Science. ISBN 978-3-030-76306-0. Available from: https://dx.doi.org/10.1007/978-3-030-76307-7_20.

Basic information

Original name

Human Resources 4.0: Use of Sociometric Badges to Measure Communication Patterns

Authors

ŠTĚPÁNEK, Libor (203 Czech Republic, belonging to the institution), Regina MOIRANO (32 Argentina), Marisa A. SANCHEZ (32 Argentina) and Gastón VILCHES (32 Argentina)

Edition

1. vyd. Neuveden, Production Research, p. 265-279, 15 pp. Communications in Computer and Information Science, 2021

Publisher

Springer International Publishing

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Other information

Language

English

Type of outcome

Kapitola resp. kapitoly v odborné knize

Field of Study

50401 Sociology

Confidentiality degree

není předmětem státního či obchodního tajemství

Publication form

printed version "print"

References:

URL

RIV identification code

RIV/00216224:14640/21:00124536

Organization unit

Language Centre

ISBN

978-3-030-76306-0

DOI

http://dx.doi.org/10.1007/978-3-030-76307-7_20

Keywords (in Czech)

tým; efektivní komunikace; sociometrické odznaky; komunikační vzorce týmové struktury

Keywords in English

team; efficient communication; sociometric badges; team structure communication patterns

Tags

topvydavatel

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Abstract

V originále

Teams are fundamental for innovation and efficient communication may be fundamental for team performance. The aim of this paper is to present the use of sociometric badges in real workplace teams to display how team structure communication patterns can be measured and analyzed. The selected method consists of four case studies of different organizations, where the unit of analysis is represented by a meeting team. Use of this emergent technology allowed the evaluation of vocalization distribution, turn taking frequency and overlapping speech metrics. Main results of the analysis showed that team vocalization tenure corresponds to performance results but vocalization distribution does not, which was unexpected. We found where the average speech segment was high, the meeting overcome the 100% of team vocalization tenure, and the total overlap time was also high. We identified different kinds of overlapping speech. Higher overlapping seems to occur more frequently when total overlap time is high but dominance is low than when total overlap and dominance are both high. Badges metrics also allowed a preliminary identification of three meeting stages. Finally, we identified possible future research lines.