Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.14279/22374
Title: | How do digital innovation teams function? Understanding the team cognition-process nexus within the context of digital transformation | Authors: | Hadjielias, Elias Dada, Lola Discua Cruz, Allan Fernando Christofi, Michael Zekas, Stavros Sakka, Georgia |
Major Field of Science: | Social Sciences | Field Category: | Economics and Business | Keywords: | Digital innovation teams;Team process;Team cognition;Taskwork;Teamwork;Digital transformation | Issue Date: | Jan-2021 | Volume: | 122 | Issue: | Journal of Business Research, 2021, vol. 122, pp. 373-386 | Start page: | 373 | End page: | 386 | Journal: | Journal of Business Research | Abstract: | Digital innovations are revolutionizing the way businesses and industries operate. Yet, the functioning of teams dealing with digital innovations remains elusive. This study offers new theoretical and empirical insights about how innovation teams function within the context of digital transformation through a better understanding of the team process-cognition nexus. In this study, a qualitative, in-depth investigation is carried out with three innovation teams, embedded in three telecommunications organizations. The innovation teams that are studied deal with the development of solutions based on digital technological innovations. The findings illustrate that digital innovation teams depend on two cognitive states to function: team-specific cognitions required for digital innovation and digital project-specific cognitions. Each cognitive state is shaped and transformed by distinct interactions between team cognition, teamwork, and taskwork throughout the digital innovation process. This study depicts a dynamic model that illustrates the functioning of innovation teams across the different stages leading to digital innovation materialization. Opportunities for further research are offered. | URI: | https://hdl.handle.net/20.500.14279/22374 | ISSN: | 01482963 | DOI: | 10.1016/j.jbusres.2020.08.045 | Rights: | © Elsevier | Type: | Article | Affiliation : | Cyprus University of Technology Lancaster University University of Central Lancashire (Cyprus) University of Nicosia |
Publication Type: | Peer Reviewed |
Appears in Collections: | Άρθρα/Articles |
CORE Recommender
SCOPUSTM
Citations
47
checked on Nov 9, 2023
WEB OF SCIENCETM
Citations
37
Last Week
0
0
Last month
2
2
checked on Oct 29, 2023
Page view(s) 50
318
Last Week
2
2
Last month
5
5
checked on Dec 21, 2024
Google ScholarTM
Check
Altmetric
Items in KTISIS are protected by copyright, with all rights reserved, unless otherwise indicated.