New Approaches for the Use of the Classical Tools of Scenario Planning
The future is to be built – is multiple and uncertain. Within the social sciences, scenarios can be defined as a description of a future situation and a course of events that allow move from a primary position toward this future situation. Currently, there is a multiplicity of methods and tools avai...
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| Format: | Article |
| Language: | English |
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Fundação Instituto de Administração
2016-04-01
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| Series: | Future Studies Research Journal: Trends and Strategies |
| Subjects: | |
| Online Access: | https://www.revistafuture.org/FSRJ/article/view/248 |
| _version_ | 1818410501160304640 |
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| author | Ricardo Balieiro Fischer |
| author_facet | Ricardo Balieiro Fischer |
| author_sort | Ricardo Balieiro Fischer |
| collection | DOAJ |
| description | The future is to be built – is multiple and uncertain. Within the social sciences, scenarios can be defined as a description of a future situation and a course of events that allow move from a primary position toward this future situation. Currently, there is a multiplicity of methods and tools available for building scenarios, including methods of an essentially rationalist approach, as Michel Godet’s method. The purpose of this work is to use the hypothetical-deductive method to reduce, starting from Michel Godet’s Scenario Method and its tools, the complexity of the scenario-building process while maintaining the robustness of the findings. For this purpose, it is proposed two different approaches: (1) to integrate, in one step, the structural analysis and the cross-impact matrix so the first one derives automatically while filling the last one; (2) to use the concept of Bayesian networks as a method to integrate the cross-impact matrix and the morphological analysis. Both approaches aim to reduce the amount of information needed to feed the tools and improve the feedback criteria, resulting in greater flexibility during the process and better holistic view of the system. Scientifically, these approaches open a new field of studies in scenario planning as it appropriates the concept of Bayesian networks, widely used in other areas of knowledge (artificial intelligence, geological studies, medical diagnostics, pattern classification, etc.), and bring it to the field of social sciences. |
| first_indexed | 2024-12-14T10:16:31Z |
| format | Article |
| id | doaj.art-a07015a6ef9c4321bd4f3ab677a71283 |
| institution | Directory Open Access Journal |
| issn | 2175-5825 |
| language | English |
| last_indexed | 2024-12-14T10:16:31Z |
| publishDate | 2016-04-01 |
| publisher | Fundação Instituto de Administração |
| record_format | Article |
| series | Future Studies Research Journal: Trends and Strategies |
| spelling | doaj.art-a07015a6ef9c4321bd4f3ab677a712832022-12-21T23:06:49ZengFundação Instituto de AdministraçãoFuture Studies Research Journal: Trends and Strategies2175-58252016-04-018114117410.7444/future.v8i1.248167New Approaches for the Use of the Classical Tools of Scenario PlanningRicardo Balieiro FischerThe future is to be built – is multiple and uncertain. Within the social sciences, scenarios can be defined as a description of a future situation and a course of events that allow move from a primary position toward this future situation. Currently, there is a multiplicity of methods and tools available for building scenarios, including methods of an essentially rationalist approach, as Michel Godet’s method. The purpose of this work is to use the hypothetical-deductive method to reduce, starting from Michel Godet’s Scenario Method and its tools, the complexity of the scenario-building process while maintaining the robustness of the findings. For this purpose, it is proposed two different approaches: (1) to integrate, in one step, the structural analysis and the cross-impact matrix so the first one derives automatically while filling the last one; (2) to use the concept of Bayesian networks as a method to integrate the cross-impact matrix and the morphological analysis. Both approaches aim to reduce the amount of information needed to feed the tools and improve the feedback criteria, resulting in greater flexibility during the process and better holistic view of the system. Scientifically, these approaches open a new field of studies in scenario planning as it appropriates the concept of Bayesian networks, widely used in other areas of knowledge (artificial intelligence, geological studies, medical diagnostics, pattern classification, etc.), and bring it to the field of social sciences.https://www.revistafuture.org/FSRJ/article/view/248Cenários. Análise estrutural. Análise de impactos cruzados. Redes bayesianas. Análise morfológica. |
| spellingShingle | Ricardo Balieiro Fischer New Approaches for the Use of the Classical Tools of Scenario Planning Future Studies Research Journal: Trends and Strategies Cenários. Análise estrutural. Análise de impactos cruzados. Redes bayesianas. Análise morfológica. |
| title | New Approaches for the Use of the Classical Tools of Scenario Planning |
| title_full | New Approaches for the Use of the Classical Tools of Scenario Planning |
| title_fullStr | New Approaches for the Use of the Classical Tools of Scenario Planning |
| title_full_unstemmed | New Approaches for the Use of the Classical Tools of Scenario Planning |
| title_short | New Approaches for the Use of the Classical Tools of Scenario Planning |
| title_sort | new approaches for the use of the classical tools of scenario planning |
| topic | Cenários. Análise estrutural. Análise de impactos cruzados. Redes bayesianas. Análise morfológica. |
| url | https://www.revistafuture.org/FSRJ/article/view/248 |
| work_keys_str_mv | AT ricardobalieirofischer newapproachesfortheuseoftheclassicaltoolsofscenarioplanning |