Technological innovation is key to enable future space exploration missions at NASA. Technology development, however, is not only driven by performance and resource considerations, but also by a broad range of directly or loosely interconnected factors. These include, among others, strategy, policy and politics at various levels, tactics and programmatics, interactions between stakeholders, resource requirements, performance goals from component to system level, mission infusion targets, portfolio execution and tracking, and technology push or mission pull. Furthermore, at NASA, these influences occur on varying timescales and at diverse geographic locations. Such a complex and interconnected system could impede space technology innovation in this examined segment of the government environment. Hence, understanding the process through NASA׳s Planning, Programming, Budget and Execution cycle could benefit strategic thinking, planning and execution. Insights could be gained through suitable models, for example assessing the key drivers against the framework of Wicked Problems. This paper discusses NASA specific space technology innovation and innovation barriers in the government environment through the characteristics of Wicked Problems; that is, they do not have right or wrong solutions, only improved outcomes that can be reached through authoritative, competitive, or collaborative means. We will also augment the Wicked Problems model to account for the temporally and spatially coupled, and cyclical nature of this NASA specific case, and propose how appropriate models could improve understanding of the key influencing factors. In turn, such understanding may subsequently lead to reducing innovation barriers, and stimulating technology innovation at NASA. Furthermore, our approach can be adopted for other government-directed environments to gain insights into their structures, hierarchies, operational flow, and interconnections to facilitate circular dialogs towards preferred outcomes.
[1]
T. J. Peters,et al.
The Circle of Innovation : You Can't Shrink Your Way to Greatness
,
1999
.
[2]
Gerald M. Weinberg.
The Simplification of Science and the Science of Simplification
,
1991
.
[3]
M. Polanyi.
Chapter 7 – The Tacit Dimension
,
1997
.
[4]
John Stevens,et al.
Design as communication in microstrategy: Strategic sensemaking and sensegiving mediated through designed artifacts
,
2013,
Artificial Intelligence for Engineering Design, Analysis and Manufacturing.
[5]
Ulla Johansson-Sköldberg,et al.
Design Thinking: Past, Present and Possible Futures
,
2013
.
[6]
G. Box,et al.
Empirical Model-Building and Response Surfaces.
,
1990
.
[7]
Jeff Conklin,et al.
Dialogue Mapping: Building Shared Understanding of Wicked Problems
,
2005
.
[8]
มนู ลีนะวงศ์,et al.
Good Strategy Bad Strategy: The Difference and Why It Matters
,
2013
.
[9]
W. Ashby,et al.
Every Good Regulator of a System Must Be a Model of That System
,
1970
.
[10]
H. Rittel,et al.
Dilemmas in a general theory of planning
,
1973
.
[11]
Nancy C. Roberts,et al.
Wicked Problems and Network Approaches to Resolution
,
2000
.
[12]
D. Kahneman.
Thinking, Fast and Slow
,
2011
.