A scenario process to inform Australian geoengineering policy

Futures ◽  
2018 ◽  
Vol 101 ◽  
pp. 67-79
Author(s):  
Anita Talberg ◽  
Sebastian Thomas ◽  
John Wiseman
Keyword(s):  
2014 ◽  
Vol 519-520 ◽  
pp. 1364-1367 ◽  
Author(s):  
Feng Yu Wang ◽  
Xue Song Liu ◽  
Xiao Zhen Li ◽  
Li Fang Yang

The instant processing technology and intelligent analysis technology are researched in the paper. Then a processing task system is designed combining with the two technologies, whose realization process is described in detail. The system can settle the question that instant processing and intelligent analysis cant dispatch effectively and interchange data in the present technologies of intelligent electricity. It can also assure the timeliness and accuracy of the business scenario process of intelligent electricity with multiple time dimensions.


Author(s):  
Hannu Kivijärvi ◽  
Markku Tuominen ◽  
Kalle Elfvengren ◽  
Kalle Piirainen ◽  
Samuli Kortelainen

In modern day business, management of uncertainty in the environment has become a vital part in building success. The increasing speed of changes in the field of business and shortening product lifecycles are being discussed right up to the point where these concepts are becoming clichés (e.g., Teece, Pisano, & Shuen, 1997; Wiggins & Ruefli, 2005). The problem of uncertain conditions boils down to the question: how can a business develop reasonable strategies for steering the company in the long run (Mintzberg, 1994)? Strategic planning and decision making in some form or another is seen as an important part of modern corporate management. Traditional techniques and tools have been criticized for being too rigid from the perspective of managing the environment (Mintzberg, 1994; Schoemaker, 1995). In many instances, the analysis that fuels the development of corporate strategies is a snapshot of the surrounding world and does not perceive possible anomalies in the development of situations. In the traditional sense, management is all about knowing the relevant decision parameters and forecasting the result of each decision. In contrast, scenario planning has gained attention as a structured method for interfacing strategic planning with the evolving operating conditions (e.g., Mintzberg, Ahlstrand, & Lampel, 1998; Walsh, 2005). Scenarios are not a single point prediction of a defined time-space in some point of future, and multiple scenarios have conventionally been used to map the borders of plausible futures (Schwartz, 1996; Schoemaker, 1995; van der Heijden, Bradfield, George, Cairns, & Wright, 2002), which aims at avoiding problems that arise if carefully conducted forecast of future business proves to be faulty.


2013 ◽  
Vol 80 (4) ◽  
pp. 735-748 ◽  
Author(s):  
Gary Bowman ◽  
R. Bradley MacKay ◽  
Swapnesh Masrani ◽  
Peter McKiernan

Health Policy ◽  
2014 ◽  
Vol 114 (2-3) ◽  
pp. 254-262 ◽  
Author(s):  
Horst Christian Vollmar ◽  
Kerstin Goluchowicz ◽  
Bernd Beckert ◽  
Ewa Dönitz ◽  
Sabine Bartholomeyczik ◽  
...  

2008 ◽  
Vol 26 (5) ◽  
pp. 982-997 ◽  
Author(s):  
Iain Docherty ◽  
Peter McKiernan

We examine the application of scenario-planning techniques to the detailed and daunting challenge of city repositioning when policy makers are faced with a heavy history and a complex future context. We review a process of scenario planning undertaken in the Edinburgh city region, exploring the scenario process and its contribution to strategies and policies for city repositioning. Strongly rooted in the recent literature on urban and regional economic development, the text outlines how key individuals and organisations involved in the process participated in far-reaching analyses of the possible future worlds in which the Edinburgh city region might find itself.


Futures ◽  
2012 ◽  
Vol 44 (4) ◽  
pp. 328-337 ◽  
Author(s):  
Bjørn P. Kaltenborn ◽  
Jørn Thomassen ◽  
John D.C. Linnell

2021 ◽  
Author(s):  
Sigrid Prehofer ◽  
Hannah Kosow ◽  
Tobias Naegler ◽  
Thomas Pregger ◽  
Stefan Vögele ◽  
...  

Abstract BackgroundLinking qualitative scenarios with quantitative models is a common approach to integrate assumptions on possible future societal contexts into modeling. But reflection on how and to what degree knowledge is effectively integrated during this endeavor does not generally take place. In this paper, we reflect on the performance of a specific hybrid scenario approach (qualitative Cross-Impact Balance analysis linked with quantitative energy models) concerning knowledge integration through eleven different process steps. In order to guide the scenario community in applying this approach, we reflect on general methodological features as well as different design options. We conceptualize different forms of interdisciplinary knowledge integration (compiling, combining and synthesizing) and analyze how and to what degree knowledge about society and uncertainty are integrated into scenario process and products. In addition, we discuss trade-offs regarding design choices and forms of knowledge integration.ResultsOn the basis of three case studies we identify two general designs of linking which build on each other (basic and extended design) and which differ in essence regarding the balance of power between the CIB and the energy modeling. Ex-post assessment of the form of interdisciplinary knowledge integration in each step revealed that specific method properties of CIB as well as the interaction with additional quantitative as well as specific qualitative methods foster distinct forms of knowledge integration. The specific roles assigned to CIB in the hybrid scenario process can also influence the form of knowledge integration. ConclusionsIn this study, we use a joint process scheme linking qualitative context scenarios with energy modeling. By applying our conceptualization of different forms of knowledge integration we analyze the designs´ respective potential for and respective effects on knowledge integration. Consequently, our findings can give guidance to those who are designing their own hybrid scenario processes. As this is an explorative study, many roads for further empirical research are indicated. Finally, we note that at some points in the process a more precise differentiation of knowledge integration forms would have been useful and propose to further differentiate and detail the three forms of interdisciplinary knowledge integration in future research.


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