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@inbook{1847062,
author = {Štěpánek, Libor and Moirano, Regina and Sanchez, Marisa A. and Vilches, Gastón},
address = {Neuveden},
booktitle = {Production Research},
doi = {http://dx.doi.org/10.1007/978-3-030-76307-7_20},
edition = {1.},
editor = {Dr. Daniel Alejandro Rossit, Fernando Tohmé, Dr. Gonzalo Mejía Delgadillo},
keywords = {team; efficient communication; sociometric badges; team structure communication patterns},
howpublished = {tištěná verze "print"},
language = {eng},
location = {Neuveden},
isbn = {978-3-030-76306-0},
pages = {265-279},
publisher = {Springer International Publishing},
title = {Human Resources 4.0: Use of Sociometric Badges to Measure Communication Patterns},
url = {https://link.springer.com/content/pdf/10.1007/978-3-030-76307-7.pdf},
year = {2021}
}
TY - CHAP
ID - 1847062
AU - Štěpánek, Libor - Moirano, Regina - Sanchez, Marisa A. - Vilches, Gastón
PY - 2021
TI - Human Resources 4.0: Use of Sociometric Badges to Measure Communication Patterns
VL - Communications in Computer and Information Science
PB - Springer International Publishing
CY - Neuveden
SN - 9783030763060
KW - team
KW - efficient communication
KW - sociometric badges
KW - team structure communication patterns
UR - https://link.springer.com/content/pdf/10.1007/978-3-030-76307-7.pdf
N2 - 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.
ER -
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. \textit{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.
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