scholarly journals Bringing the boys back home: Campaign promises and US decision-making in Iraq and Vietnam

Politics ◽  
2020 ◽  
pp. 026339572093720
Author(s):  
Andrew Payne
Keyword(s):  
Decision Making ◽  
Conceptual Framework ◽  
Case Studies ◽  
Electoral Politics ◽  
Electoral Accountability ◽  
Powerful Factor ◽  
Important Constraint ◽  
Conflict Initiation ◽  
Push And Pull ◽  
Electoral Calendar

This article argues that electoral politics acts as an important constraint on presidential decision-making in war. Going beyond the existing literature’s focus on cases of conflict initiation, it outlines how electoral pressures push and pull presidents away from courses of action which may otherwise be deemed strategically optimal. Importantly, however, these electoral constraints will not just apply on the immediate eve of an election but will vary in strength across the electoral calendar. Together, this conceptual framework helps explain why presidential fulfilment of rhetorical pledges made on the previous campaign trail may be belated and often inconsistent. To probe the plausibility of these arguments, case studies of the closing stages of the wars in Vietnam and Iraq are outlined, drawing on archival and elite interview material. These episodes demonstrate that electoral accountability can be a powerful factor affecting wartime decision-making, but its effect is non-linear, and not easily observed through a narrow focus on particular timeframes.

Drug Safety, Pharmacoepidemiology, and Regulatory Decision Making

1988 ◽  
Vol 22 (4) ◽  
pp. 336-344 ◽  
Author(s):  
Robert C. Nelson
Keyword(s):  
Risk Assessment ◽  
Decision Making ◽  
Conceptual Framework ◽  
Knowledge Base ◽  
Case Studies ◽  
Drug Safety ◽  
Research Question ◽  
Regulatory Decision ◽  
Risk Manager ◽  
Interpretive Framework

The safety or risk assessment of a pharmacotherapeutic agent begins early in its development and continues throughout its use cycle. The practice of pharmacoepidemiology is the art of using the sciences and the tools of science to generate information about pharmaceutical outcomes, including associated risks, in the postmarketing environment. A pharmacoepidemiologist must be capable of functioning with a matrix constructed of three components: a knowledge base, a conceptual framework, and an interpretive framework. From this perspective one can establish surveillance schemes, or understand a posed research question, select strategies, apply methodologies, and interpret the results of purposeful investigations. When conveyed to the risk manager, appropriately interpreted results of a properly conducted risk assessment can be used in regulatory decision making. Seven case studies are presented as examples of this approach.

scholarly journals Determinants of Risk Management Adoption in Organisations and Supply Chains

2015 ◽  
Vol 773-774 ◽  
pp. 804-808
Author(s):  
Norlaile Salleh Hudin ◽  
Abu Bakar Abdul Hamid ◽  
Ai Chin Thoo
Keyword(s):  
Decision Making ◽  
Risk Management ◽  
Risk Perception ◽  
Supply Chains ◽  
Conceptual Framework ◽  
Case Studies ◽  
Limited Evidence ◽  
Perception Of Risk ◽  
Two Factors ◽  
The Cost

The implementation of risk management (RM) increases the value of firms, reduces the cost of debts, increases profits and improves decision making. However, the debates on what determines RM adoption are still unresolved due to limited evidence of RM adoption in industrial settings. Therefore, this paper aims to propose a conceptual framework of the determinants that influence the adoption of RM. It has been found that two factors, the perception of risk management and risk perception, have often been neglected in prior research. Thus, this paper extends the existing literature by introducing these factors to the framework of RM adoption. It is suggested that future case studies can be conducted to examine the significance of these two factors.

Megadrought and Collapse

2017 ◽  
Keyword(s):  
Climate Change ◽  
Decision Making ◽  
Case Studies ◽  
Agricultural Landscapes ◽  
15Th Century ◽  
Societal Collapse ◽  
The Face ◽  
Time Periods ◽  
Paleoclimate Proxy ◽  
Habitat Tracking

This is the first book to treat the major examples of megadrought and societal collapse, from the late Pleistocene end of hunter–gatherer culture and origins of cultivation to the 15th century AD fall of the Khmer Empire capital at Angkor, and ranging from the Near East to South America. Previous enquiries have stressed the possible multiple and internal causes of collapse, such overpopulation, overexploitation of resources, warfare, and poor leadership and decision-making. In contrast, Megadrought and Collapse presents case studies of nine major episodes of societal collapse in which megadrought was the major and independent cause of societal collapse. In each case the most recent paleoclimatic evidence for megadroughts, multiple decades to multiple centuries in duration, is presented alongside the archaeological records for synchronous societal collapse. The megadrought data are derived from paleoclimate proxy sources (lake, marine, and glacial cores; speleothems, or cave stalagmites; and tree-rings) and are explained by researchers directly engaged in their analysis. Researchers directly responsible for them discuss the relevant current archaeological records. Two arguments are developed through these case studies. The first is that societal collapse in different time periods and regions and at levels of social complexity ranging from simple foragers to complex empires would not have occurred without megadrought. The second is that similar responses to megadrought extend across these historical episodes: societal collapse in the face of insurmountable climate change, abandonment of settlements and regions, and habitat tracking to sustainable agricultural landscapes. As we confront megadrought today, and in the likely future, Megadrought and Collapse brings together the latest contributions to our understanding of past societal responses to the crisis on an equally global and diverse scale.

scholarly journals Assessing the Value of Demand Response in Microgrids

2021 ◽  
Vol 13 (11) ◽  
pp. 5848
Author(s):  
Isaías Gomes ◽  
Rui Melicio ◽  
Victor M. F. Mendes
Keyword(s):  
Decision Making ◽  
Energy Consumption ◽  
Energy Storage ◽  
Case Studies ◽  
Demand Response ◽  
Storage Systems ◽  
Computer Application ◽  
Market Prices ◽  
Proper Formulation ◽  
Operation Case

This paper presents a computer application to assist in decisions about sustainability enhancement due to the effect of shifting demand from less favorable periods to periods that are more convenient for the operation of a microgrid. Specifically, assessing how the decisions affect the economic participation of the aggregating agent of the microgrid bidding in an electricity day-ahead market. The aggregating agent must manage microturbines, wind systems, photovoltaic systems, energy storage systems, and loads, facing load uncertainty and further uncertainties due to the use of renewable sources of energy and participation in the day-ahead market. These uncertainties cannot be removed from the decision making, and, therefore, require proper formulation, and the proposed approach customizes a stochastic programming problem for this operation. Case studies show that under these uncertainties and the shifting of demand to convenient periods, there are opportunities to make decisions that lead to significant enhancements of the expected profit. These enhancements are due to better bidding in the day-ahead market and shifting energy consumption in periods of favorable market prices for exporting energy. Through the case studies it is concluded that the proposed approach is useful for the operation of a microgrid.

scholarly journals Imaging Spectroscopy for Conservation Applications

2021 ◽  
Vol 13 (2) ◽  
pp. 292
Author(s):  
Megan Seeley ◽  
Gregory P. Asner
Keyword(s):  
Remote Sensing ◽  
Decision Making ◽  
Case Studies ◽  
Spatial Scales ◽  
Imaging Spectroscopy ◽  
Remote Sensing Data ◽  
Decision Makers ◽  
High Spectral Resolution ◽  
Conservation Areas ◽  
Broad Array

As humans continue to alter Earth systems, conservationists look to remote sensing to monitor, inventory, and understand ecosystems and ecosystem processes at large spatial scales. Multispectral remote sensing data are commonly integrated into conservation decision-making frameworks, yet imaging spectroscopy, or hyperspectral remote sensing, is underutilized in conservation. The high spectral resolution of imaging spectrometers captures the chemistry of Earth surfaces, whereas multispectral satellites indirectly represent such surfaces through band ratios. Here, we present case studies wherein imaging spectroscopy was used to inform and improve conservation decision-making and discuss potential future applications. These case studies include a broad array of conservation areas, including forest, dryland, and marine ecosystems, as well as urban applications and methane monitoring. Imaging spectroscopy technology is rapidly developing, especially with regard to satellite-based spectrometers. Improving on and expanding existing applications of imaging spectroscopy to conservation, developing imaging spectroscopy data products for use by other researchers and decision-makers, and pioneering novel uses of imaging spectroscopy will greatly expand the toolset for conservation decision-makers.

scholarly journals Using Deliberative Democracy for Better Urban Decision-Making through Integrative Thinking

Urban Science ◽  
2020 ◽  
Vol 5 (1) ◽  
pp. 3
Author(s):  
Janette Hartz-Karp ◽  
Dora Marinova
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Deliberative Democracy ◽  
Decision Makers ◽  
Capital City ◽  
City Region ◽  
Multiple Sources ◽  
Trade Offs ◽  
Urban Issues ◽  
Sustainability Challenges

This article expands the evidence about integrative thinking by analyzing two case studies that applied the collaborative decision-making method of deliberative democracy which encourages representative, deliberative and influential public participation. The four-year case studies took place in Western Australia, (1) in the capital city Perth and surrounds, and (2) in the city-region of Greater Geraldton. Both aimed at resolving complex and wicked urban sustainability challenges as they arose. The analysis suggests that a new way of thinking, namely integrative thinking, emerged during the deliberations to produce operative outcomes for decision-makers. Building on theory and research demonstrating that deliberative designs lead to improved reasoning about complex issues, the two case studies show that through discourse based on deliberative norms, participants developed different mindsets, remaining open-minded, intuitive and representative of ordinary people’s basic common sense. This spontaneous appearance of integrative thinking enabled sound decision-making about complex and wicked sustainability-related urban issues. In both case studies, the participants exhibited all characteristics of integrative thinking to produce outcomes for decision-makers: salience—grasping the problems’ multiple aspects; causality—identifying multiple sources of impacts; sequencing—keeping the whole in view while focusing on specific aspects; and resolution—discovering novel ways that avoided bad choice trade-offs.

scholarly journals Model-driven development platform selection: four industry case studies

2021 ◽  
Author(s):  
Siamak Farshidi ◽  
Slinger Jansen ◽  
Sven Fortuin
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Decision Makers ◽  
Development Activity ◽  
Model Driven Development ◽  
Domain Experts ◽  
Theoretical Contribution ◽  
Model Driven ◽  
Development Platform ◽  
Software Production

AbstractModel-driven development platforms shift the focus of software development activity from coding to modeling for enterprises. A significant number of such platforms are available in the market. Selecting the best fitting platform is challenging, as domain experts are not typically model-driven deployment platform experts and have limited time for acquiring the needed knowledge. We model the problem as a multi-criteria decision-making problem and capture knowledge systematically about the features and qualities of 30 alternative platforms. Through four industry case studies, we confirm that the model supports decision-makers with the selection problem by reducing the time and cost of the decision-making process and by providing a richer list of options than the enterprises considered initially. We show that having decision knowledge readily available supports decision-makers in making more rational, efficient, and effective decisions. The study’s theoretical contribution is the observation that the decision framework provides a reliable approach for creating decision models in software production.

A Decision Methodology for Determining Suitable Post-Disaster Accommodations: Reconsidering Effective Indicators for Decision-making Processes

2020 ◽  
Vol 17 (3) ◽  
Author(s):  
S. M. Amin Hosseini ◽  
Albert de la Fuente ◽  
Oriol Pons ◽  
Carmen Mendoza Arroyo
Keyword(s):  
Decision Making ◽  
Case Studies ◽  
Natural Hazard ◽  
Recovery Process ◽  
Decision Making Process ◽  
Temporary Housing ◽  
Universal Approach ◽  
Decision Making Processes ◽  
Main Factors ◽  
Post Disaster

AbstractOne of the main challenges in assisting displaced persons who have lost their homes as a result of a natural hazard is the provision of adequate post-disaster accommodations, such as temporary housing. Although the need for temporary housing has increased around the world in recent years, it has been criticized on economic, environmental, and social grounds. A universal approach to post-disaster accommodations cannot successfully deal with this issue because each recovery process involves a unique set of conditions. Therefore, rather than defining a specific strategy, this study aims to present an approach capable of producing customized strategies based on contextual and social conditions. To this end, first, the main factors influencing the choice of post-disaster accommodations are identified through five case studies. It is concluded that all of the factors can be organized into three main vertices to simplify the highly complex issues involved in post-disaster accommodations. The case studies also show that the decision-making process consists of two main parts. To date, a recurring failure to distinguish between these two parts has led to unsuitable outcomes. Thus, this paper presents a new decision-making methodology, consisting of multiple steps, phases, and indicators based on the main vertices.

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