Understanding the Future for Strategy Formulation
Ettore Bolisani and
Constantin Bratianu
Additional contact information
Ettore Bolisani: University of Padua
Constantin Bratianu: Bucharest University of Economic Studies
Chapter 4 in Emergent Knowledge Strategies, 2018, pp 73-95 from Springer
Abstract:
Abstract The purpose of this chapter is to explain our perception of time by using metaphorical thinking and to show how we understand the concept of future within the framework of time, complexity and uncertainty. Strategies are built for future actions and understanding the nature and the content of future becomes important. Human mind developed, during its historical existence, a series of metaphors able to suggest new semantic dimensions of time and its role in structuring the future. Among all these metaphors those based on space are essential since time and space have been integrated by scientists in a complex n-dimensional space concept. Time specialization became, thus, the main cognitive pattern in dealing with time and the future. Due to the complexity of future it is important to explain the way we correlate variables describing events and phenomena, which means to address the linearity and nonlinearity paradigms. The chapter ends up by presenting the semantic dynamics of uncertainty and its role in defining probable futures, where we define corporate strategic objectives and design strategies able to achieve them.
Keywords: Linear Thinking; Inertial Thinking; Deterministic Thinking; Nonlinear Thinking; Mentation Model (search for similar items in EconPapers)
Date: 2018
References: Add references at CitEc
Citations: View citations in EconPapers (1)
There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:kmochp:978-3-319-60657-6_4
Ordering information: This item can be ordered from
http://www.springer.com/9783319606576
DOI: 10.1007/978-3-319-60657-6_4
Access Statistics for this chapter
More chapters in Knowledge Management and Organizational Learning from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().