Modern organizations, particularly in Healthcare, increasingly adopt knowledge Intensive Processes (KIPs) and use work teams to perform knowledge intensive tasks and coordination activities. Despite a growing interest on the topic of KIPs, studies analyzing the role of interactions among knowledge workers and their collaboration dynamics as drivers of process performance are still lack in the literature. This research aims to offer a methodological support towards a more quantitative and systematic analysis of such process dynamics. Thus, a state of the art is assessed by a structured and in-depth investigation of the academic literature. Results focus on Sociometric badges / sensors as an innovative way and potential valuable tool to quantitatively analyze social dynamics of collaboration in KIPs by measuring participant interactions and group behavior Main benefits and possible alerts are identified and analyzed in order to provide valuable directions for applications and further research.

Collaboration Dynamics In Healthcare Knowledge Intensive Processes: A State Of The Art On Sociometric Badges

ALOINI, DAVIDE;STEFANINI, ALESSANDRO
2016-01-01

Abstract

Modern organizations, particularly in Healthcare, increasingly adopt knowledge Intensive Processes (KIPs) and use work teams to perform knowledge intensive tasks and coordination activities. Despite a growing interest on the topic of KIPs, studies analyzing the role of interactions among knowledge workers and their collaboration dynamics as drivers of process performance are still lack in the literature. This research aims to offer a methodological support towards a more quantitative and systematic analysis of such process dynamics. Thus, a state of the art is assessed by a structured and in-depth investigation of the academic literature. Results focus on Sociometric badges / sensors as an innovative way and potential valuable tool to quantitatively analyze social dynamics of collaboration in KIPs by measuring participant interactions and group behavior Main benefits and possible alerts are identified and analyzed in order to provide valuable directions for applications and further research.
File in questo prodotto:
Non ci sono file associati a questo prodotto.

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11568/836168
 Attenzione

Attenzione! I dati visualizzati non sono stati sottoposti a validazione da parte dell'ateneo

Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact