scholarly journals New EU-scale environmental scenarios until 2050 – Scenario process and initial scenario applications

2018 ◽  
Vol 29 ◽  
pp. 542-551 ◽  
Author(s):  
Joerg A. Priess ◽  
Jennifer Hauck ◽  
Roy Haines-Young ◽  
Rob Alkemade ◽  
Maryia Mandryk ◽  
...  
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.


Futures ◽  
2018 ◽  
Vol 101 ◽  
pp. 67-79
Author(s):  
Anita Talberg ◽  
Sebastian Thomas ◽  
John Wiseman
Keyword(s):  

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

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