scholarly journals À propos du contrôle social de la politique énergétique

2005 ◽  
Vol 24 (4) ◽  
pp. 713-736
Author(s):  
Louis Constans
Keyword(s):  
Decision Making ◽  
Energy Policy ◽  
Decision Makers ◽  
Freedom Of Choice ◽  
Policy Makers ◽  
Parliamentary Debates ◽  
Decision Making Processes ◽  
Definition Of ◽  
Time Frames ◽  
Made In

This paper attempts to clarify the basic issues underlying the discussion of citizens' participation in public decision-making on energy policy and projects. It questions the assumption that such participation is possible, and recalls that energy policy is at present, at least in the French context, an area of conflict between government and various interest groups. It warns of possible misunderstandings due to the lack of an agreed definition of participation. Three major points are made in this connection. The first is that the usual instruments of citizens' participation in decision-making (public inquiries, parliamentary debates, etc.) have, for a number of technical and institutional reasons, become largely irrelevant as regards energy matters — as indeed in several other areas of policy. The second is that decision-making on energy policy and projects really allows for very little freedom of choice on the part of decision-makers : such freedom rarely goes beyond the setting of time-frames for the achievement of goals imposed by circumstances. Finally, it is suggested that invocation of the ideals of democracy is unhelpful : what is realistically possible amounts only to a greater openness and objectivity in decision-making processes aimed at giving citizens, not an illusory power to decide themselves or to block decisions by policy-makers, but the capacity to forewarn the latter about public feelings on energy issues.

Rationality and risk-taking in Russia’s first Chechen War: toward a theory of cognitive realism

2010 ◽  
Vol 2 (2) ◽  
pp. 187-210
Author(s):  
Jason J. Morrissette
Keyword(s):  
Decision Making ◽  
International Relations ◽  
Risk Taking ◽  
Utility Maximization ◽  
Decision Makers ◽  
Adequate Explanation ◽  
Russian President ◽  
Decision Making Processes ◽  
Cognitive Realism ◽  
Made In

This article seeks to establish a better scholarly understanding of former Russian President Boris Yeltsin’s decision to launch an ill-planned, risky, and ultimately disastrous invasion of the breakaway republic of Chechnya in 1994. Examining the decision-making environment that led up to the invasion, I conclude that while neorealism provides an adequate explanation for Yeltsin’s motives in this case, the decisions that he made in pursuit of these goals do not reflect the logic of rational utility maximization commonly associated with neorealist theory. Instead, I suggest that prospect theory – based on the idea that decision-makers tend to be risk averse when confronted with choices between gains while risk acceptant when confronted with losses – offers significantly more explanatory insight in this case. Thus, the article offers further support for an alternative theoretical approach to international relations that some scholars have termed ‘cognitive realism’, incorporating neorealist motives with a more empirically accurate perspective on the decision-making processes undertaken in pursuit of these motives.

scholarly journals The Question of Interest Group Influence

2007 ◽  
Vol 27 (1) ◽  
pp. 1-12 ◽  
Author(s):  
ANDREAS DÜR ◽  
DIRK DE BIÈVRE
Keyword(s):  
Decision Making ◽  
Interest Groups ◽  
Interest Group ◽  
Decision Makers ◽  
Policy Makers ◽  
The Public ◽  
Decision Making Processes ◽  
Interest Group Politics ◽  
Group Politics ◽  
Interest Group Influence

Interest groups are a major channel through which citizens can express their opinions to decision-makers. Their participation in policymaking may improve decision-making processes by supporting policies that are in line with citizen preferences and blocking policies that solely reflect the interests of the governing elite. At the same time, however, intense interest group pressures may make it difficult for policy-makers to implement the most efficient policies since such policies often impose costs on parts of the public. Competition among interest groups over the distribution of economic gains may also slow down the rate of economic growth (Olson 1982). Finally, if some groups constantly win, interest group politics may undermine the legitimacy of electorally accountable decision making in a democracy.

scholarly journals Research use at the Ministry of Health in Burkina Faso: the decision-makers’ perspective

2021 ◽  
Vol 2 (1) ◽  
Author(s):  
Christian Dagenais
Keyword(s):  
Decision Making ◽  
Knowledge Transfer ◽  
Burkina Faso ◽  
Informed Decision ◽  
Communication Strategy ◽  
Decision Makers ◽  
Research Use ◽  
Informed Decision Making ◽  
Ministry Of Health ◽  
Policy Makers

Abstract Background Despite the increased emphasis placed on the use of evidence for policy development, relatively few initiatives have been developed to support evidence-informed decision-making, especially in West Africa. Moreover, studies examining the conditions under which policy-makers use research-based evidence are still scarce, but they show that their attitudes and opinions about research are one of the main determinants of such use. In February 2017, Burkina Faso’s Minister of Health planned to create a unit to promote evidence-informed decision-making within the ministry. Before the unit was set up, documenting the attitudes towards research at the highest levels of his Ministry appeared profitable to the unit’s planning. Method Individual interviews were conducted by the author with 14 actors positioned to consider evidence during decision-making from the Burkina Faso’s Minister of health cabinet. An interview grid was used to explore several themes such as attitudes towards research, obstacles and facilitators to research use, example of research use in decision-making and finally, ways to increase decision-makers’ participation in knowledge transfer activities. Interviews were partially transcribed and analysed by the author. Results The results show a mixed attitude towards research and relatively little indication of research use reported by respondents. Important obstacles were identified: evidence inaccessibility, lack of implementation guidelines, absence of clear communication strategy and studies’ lack of relevance for decision-making. Many suggestions were proposed such as raising awareness, improving access and research communication and prioritizing interactions with researchers. Respondents agree with the low participation of decision-makers in knowledge transfer activities: more leadership from the senior officials was suggested and greater awareness of the importance of their presence. Conclusions The conclusion presents avenues for reflection and action to increase the potential impact of the knowledge transfer unit planned within the Ministry of Health of Burkina Faso. This innovative initiative will be impactful if the obstacles identified in this study and policy-makers’ preferences and needs are taken into account during its development and implementation.

Framing Information Technology Governance in the Public Sector: Opportunities and Challenges

2015 ◽  
Vol 11 (4) ◽  
pp. 89-101 ◽  
Author(s):  
Khalifa Al-Farsi ◽  
Ramzi EL Haddadeh
Keyword(s):  
Decision Making ◽  
Information Technology ◽  
Public Sector ◽  
It Governance ◽  
Decision Makers ◽  
The Public ◽  
Technology Governance ◽  
Support Organizations ◽  
Information Technology Governance ◽  
Decision Making Processes

Information technology governance is considered one of the innovative practices that can provide support for decision-makers. Interestingly, it has become increasingly a de facto for organizations in seeking to optimise their performance. In principle, information technology governance has emerged to support organizations in the integration of information technology (IT) infrastructures and the delivery of high-quality services. On the other hand, decision-making processes in public sector organisations can be multi-faceted and complex, and decision makers play an important role in implementing technology in the public sector. The aim of this paper is to shed some light on current opportunities and challenges that IT governance is experiencing in the context of public sector services. In this respect, this paper examines the factors influencing the decision-making process to fully appreciate IT governance. Furthermore, this study focuses on combining institutional and individual perspectives to explain how individuals can take decisions in response to institutional influences.

D Minus Months: Strategic Planning for Weather-Sensitive Decisions

2021 ◽  
Author(s):  
Eva D. Regnier ◽  
Joel W. Feldmeier
Keyword(s):  
Decision Making ◽  
Decision Analysis ◽  
Weather Forecasting ◽  
Decision Makers ◽  
Strategic Decisions ◽  
Sequential Decisions ◽  
Weather Forecasts ◽  
Current State ◽  
Set Up ◽  
Made In

General Eisenhower’s decisions to postpone and, one day later, to launch the “D-Day” invasion of Normandy are a gripping illustration of sequential decisions under uncertainty, suitable for any introductory decision analysis class. They’re also the archetypal example of weather-sensitive decision making using a forecast. This paper develops a framework for analyzing weather-sensitive decisions with a focus on the less-familiar strategic decisions that determine how forecasts are produced and what operational alternatives are available so that decision makers can extract value from forecasts. We tell the story of the decisions made in the months before D-Day regarding how to set up the forecasting process and the myriad decisions implicating nation-level resources that prepared Allied forces not just to invade, but to hold open that decision until the last possible hour so that Eisenhower and his staff could use the critical forecasts. Finally, we overview the current state of the weather-forecasting enterprise, the current challenges of interest to decision analysts, and what this means for decision analysts seeking opportunities to help the weather enterprise improve forecasts and to help operational decision makers extract more value from modern weather forecasts.

Geographic Marketing in Support of Decision-Making Processes

2020 ◽  
pp. 103-115
Author(s):  
Maria Fernanda Augusto
Keyword(s):  
Decision Making ◽  
Geographic Information ◽  
Essential Elements ◽  
Added Value ◽  
Key Factors ◽  
Digital Maps ◽  
Decision Making Processes ◽  
Growth Prospects ◽  
Definition Of ◽  
Different Sources

Nowadays, geographic information and spatial aspects are essential elements for the definition of companies' strategies. With the use of different sources data, companies were able to obtain insights that they could not obtain without the spatial component and were able to use them to optimize their business. Then, geographic marketing presents itself as an added value for companies, one of the key factors being its role in supporting decision making. The main attributes of geographic marketing or GeoMarketing allow us to identify and present through digital maps the behavior and trends of certain variables based on characteristics of a market. The meticulous study of spatial and demographic information generated by GeoMarketing are crucial for important strategic adjustments in the business plan, such as definitions related to the location considered ideal for the business, target audience, price and growth prospects, among other factors. In this context, GeoMarketing will be introduced, exploring its scope, applicability, and relevance of its use in support of the decision-making process.

A Conceptual Model for Describing the Integration of Decision Aspect into Big Data

2022 ◽  
pp. 294-318
Author(s):  
Fatma Chiheb ◽  
Fatima Boumahdi ◽  
Hafida Bouarfa
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Competitive Advantage ◽  
Conceptual Model ◽  
Big Data Analytics ◽  
Decision Makers ◽  
Modern Business ◽  
Definition Of ◽  
A Company ◽  
Support Decision Making

Big Data is an important topic for discussion and research. It has gained this importance due to the meaningful value that could be extracted from these data. The application of Big Data in the modern business allows enterprises to take faster and smarter decisions, achieving a real competitive advantage. However, a lot of Big Data projects provide disappointing results that don't address the decision-makers' needs due to many reasons. The main reason for this failure can be summarized in neglecting the study of the decision-making aspect of these projects. In light of this challenge, this study proposes the integration of decision aspect into Big Data as a solution. Therefore, this article presents three main contributions: 1) Clarify the definition of Big Data; 2) Presents BD-Da model, a conceptual model describes the levels that should be considered to develop a Big Data project aiming to solve a problem that calls a decision; 3) Describes a particular, logical, requirements-like approach that explains how a company develops a Big Data analytics project to support decision-making.

Activity-Based Methodology for Development and Analysis of Integrated DoD Architectures

2007 ◽  
pp. 85-113 ◽  
Author(s):  
S. Ring
Keyword(s):  
Decision Making ◽  
Decision Makers ◽  
Process Models ◽  
Fully Integrated ◽  
The Core ◽  
Analysis Strategies ◽  
Decision Making Processes ◽  
Integrated Architecture ◽  
Architecture Development ◽  
Support Decision Making

This chapter describes the activity-based methodology (ABM), an efficient and effective approach to-ward development and analysis of DoD integrated architectures that will enable them to align with and fully support decision-making processes and mission outcomes. ABM consists of a tool-independent disciplined approach to developing fully integrated, unambiguous, and consistent DODAF Operational, System, and Technical views in supporting both “as-is” architectures (where all current elements are known) and “to-be” architectures (where not all future elements are known). ABM enables architects to concentrate on the Art and Science of architectures—that is identifying core architecture elements, their views, how they are related together, and the resulting analysis used for decision-making purposes. ABM delivers significant architecture development productivity and quality gains by generating several DoDAF products and their elements from the core architecture elements. ABM facilitates the transition from integrated “static” architectures to executable “dynamic” process models for time-dependent assessments of complex operations and resource usage. Workflow steps for creating integrated architecture are detailed. Numerous architecture analysis strategies are presented that show the value of integrated architectures to decision makers and mission outcomes.

Identifying E-Business Options

2009 ◽  
pp. 1-10
Author(s):  
Albert Boonstra ◽  
Bert de Brock
Keyword(s):  
Decision Making ◽  
Life Cycle ◽  
Dynamic Environments ◽  
The Internet ◽  
Decision Making Process ◽  
Business Opportunity ◽  
Business Applications ◽  
Decision Making Processes ◽  
Business Purpose ◽  
Made In

The past few years, many organizations have been using the Internet in quite arbitrary and experimental ways. This phase, which can be considered as a period of learning and experimentation, has created a need for a more systematic approach to the identification, the ordering and the assessment of e-business options. It is the objective of this paper to address this need by presenting a methodology that aims at supporting management in using alternative e-business applications in the first stage of the decision-making process. Figure 1 shows how a systematic decision-making process can be organized by using e-business options. The steps are based on Simon’s intelligence, design, and choice trichotomy (Simon, 1960). First, alternative e-business options have to be identified and ordered. Then the possible options have to be assessed and selected. After this stage the selected opportunities have to be specified and designed. Next, implementation, operation, maintenance, and evaluation may follow. In Figure 1 this is called the “formal life cycle”. We will apply the word “e-business option” referring to the possibility to use an electronic network for a business purpose. An e-business opportunity is defined here as an assessed and selected e-business option. In practice, different intermediate feedback activities, interrupts, delays and adjustments are often necessary to reconsider earlier steps (Mintzberg, Raisinghani, & Théorêt, 1976). This is—among other reasons—because decision-making processes of this kind take place in dynamic environments and decisions are made in political contexts (Pettigrew, 2002). Moreover, participants in decision-making processes are often lacking the necessary information to make well-considered decisions right from the start (Miller, Hickson, & Wilson, 1996). In Figure 1 these activities are called “intermediate feedback”.

A Conceptual Model for Describing the Integration of Decision Aspect into Big Data

2019 ◽  
Vol 10 (4) ◽  
pp. 1-23
Author(s):  
Fatma Chiheb ◽  
Fatima Boumahdi ◽  
Hafida Bouarfa
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Conceptual Model ◽  
Data Analytics ◽  
Big Data Analytics ◽  
Decision Makers ◽  
Modern Business ◽  
Definition Of ◽  
A Company ◽  
Support Decision Making

Big Data is an important topic for discussion and research. It has gained this importance due to the meaningful value that could be extracted from these data. The application of Big Data in the modern business allows enterprises to take faster and smarter decisions, achieving a real competitive advantage. However, a lot of Big Data projects provide disappointing results that don't address the decision-makers' needs due to many reasons. The main reason for this failure can be summarized in neglecting the study of the decision-making aspect of these projects. In light of this challenge, this study proposes the integration of decision aspect into Big Data as a solution. Therefore, this article presents three main contributions: 1) Clarify the definition of Big Data; 2) Presents BD-Da model, a conceptual model describes the levels that should be considered to develop a Big Data project aiming to solve a problem that calls a decision; 3) Describes a particular, logical, requirements-like approach that explains how a company develops a Big Data analytics project to support decision-making.

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