-------- Forwarded Message --------
Call for Papers
Special Issue “Team autonomy in digital transformations”
AI & Society
Journal of Knowledge, Culture and Communication
https://www.springer.com/journal/146
http://www.springer.com/cda/content/document/cda_downloaddocument/CfP_Team+autonomy+in+digital+transformations.pdf?SGWID=0-0-45-1660915-p1009539
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--- Scope and topics: ---
This special issue aims to present research on the autonomy of
teams in companies in digital transformation. Especially in focus
are key factors challenging the autonomy, and attempts at coping
with such challenges. Team autonomy has a range of implications
and is challenged by a number of factors, such as knowledge
complexity and decision-making, learning, large-scale problems,
environmental turbulence, management and leadership challenges,
product and technical interdependencies, the use of platforms,
virtual collaboration, and diversity. Early studies of agile
development used the term ‘agile adoption’ to coin the uptake of
agile methods by an organisation (Dybå et al. 2008), focusing
uptake at team level, while later studies use ‘agile adoption’
about the uptake of agile methods in the whole organization. Thus,
there is a need for new knowledge on how companies scale the
concept of autonomous teams beyond their design or development
teams, how non-tech companies can adopt the knowledge from
software development teams and how new technology can support such
teams in order to attain better performance, productivity,
innovation and value creation.
Contributions to the special issue may include manuscripts that
address the following themes:
- What authority and support do teams in digital transformation
need? How to balance crossfunctionality/transdisciplinarity and
autonomy? What is the role of leadership, responsibility, power
and authority?
- What are the barriers for networks of autonomous teams? What are
the management and leadership challenges for autonomous teams in a
multi-team setting?
- What technology is needed for intra- and inter-team coordination
in autonomous teams? How will AI, machine learning and automation
impact autonomous teams? How to adapt agile development practices
used by autonomous teams with data science and machine learning?
- How does autonomy condition knowledge creation within and among
teams? How may the team’s learning process be integrated in the
learning of the organization?
- How may formerly hierarchic-bureaucratic sectors succeed in
digital transformation and the use of autonomous teambased
organisational designs?
- How can one provide increased operational transparency, which
minimizing exposure to underlying complexities particular to the
different units?
--- Guest editors: ---
Nils Brede Moe, PhD, Research manager, SINTEF Group -
nils.b.moe@sintef.no
Johan Elvemo Ravn, PhD, Professor, Nord University –
johan.e.ravn@nord.no (main contact)
Eva A. Seim, PhD, Senior Research Scientist, Læringsliv –
Eva@laeringsliv.no
Viktoria Stray, PhD, Associate professor, University of Oslo -
stray@ifi.uio.no
--- Submission: ---
Contributors are asked to submit a paper between 10 and 25 pages
in the AI & Society’s manuscript format. You can find more
information about formatting under the section "Instructions for
Authors"
https://www.springer.com/journal/146. For inquiries
please contact:
johan.e.ravn@nord.no
--- Important dates: ---
Submission of full manuscripts: March 31, 2020
Review and decision: June 3, 2020
Final paper submission: October 30, 2020
Ready for publication: November 13, 2020
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