The Ontology of International Crisis

Author(s):  
David A. Welch

For the study of international crisis to yield insights of value to both scholars and policymakers, it is imperative to understand what the term “international crisis” means in the abstract and what qualifies as an international crisis in the real world. It is also important to establish criteria for distinguishing species of the genus. These tasks require clearing up conceptual ambiguities, articulating and justifying a working definition of “international crisis,” demonstrating the utility of that definition for both scholarly analysis and practical policymaking, and exploring potentially fruitful ways in which international crises can be categorized. The working definition proposed is as follows: An international crisis is a decisive encounter between two or more states involving a plausibly elevated danger of imminent war. International crisis so conceived is inherently a decision-making problem and cannot be understood in purely systemic terms, divorced from policymakers’ perceptions of (a) the challenges they face, (b) the stakes involved, (c) the time constraints under which they operate, or (d) the severity of their predicament. While international crisis is not always entirely in the eye of the beholder, it is sufficient to establish that an international crisis is in play if decision makers believe that it is, whether or not their beliefs are well-founded. Without prejudging empirical analysis, it is plausible to suggest that both the analysis and the management of international crises may differ depending upon their genesis, the nature of the stakes involved, their severity, their payoff structure, and whether or not the protagonists have nuclear weapons.

2021 ◽  
Vol 11 (4) ◽  
pp. 1660 ◽  
Author(s):  
Ivan Marović ◽  
Monika Perić ◽  
Tomaš Hanak

A way to minimize uncertainty and achieve the best possible project performance in construction project management can be achieved during the procurement process, which involves selecting an optimal contractor according to “the most economically advantageous tender.” As resources are limited, decision-makers are often pulled apart by conflicting demands coming from various stakeholders. The challenge of addressing them at the same time can be modelled as a multi-criteria decision-making problem. The aim of this paper is to show that the analytic hierarchy process (AHP) together with PROMETHEE could cope with such a problem. As a result of their synergy, a decision support concept for selecting the optimal contractor (DSC-CONT) is proposed that: (a) allows the incorporation of opposing stakeholders’ demands; (b) increases the transparency of decision-making and the consistency of the decision-making process; (c) enhances the legitimacy of the final outcome; and (d) is a scientific approach with great potential for application to similar decision-making problems where sustainable decisions are needed.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Liam Fahey

Purpose By clearly mapping the pathway for managing the early stages of any marketplace analysis project, its definition, scope, framing, focus, perspective, context, imagination and data choices – the odds of generating important strategic insight can be greatly increased for executives as well as analysis teams. Design/methodology/approach A marketing analysis team should pay specific attention to how it organizes the analysis context’a process called “Structuring”. Findings A working definition of insight: new marketplace understanding that makes a difference to the organization’s thinking, decision making and action. Practical/implications 10; Nothing constricts the insight structuring process as much as lack of imagination! Originality/value The choice of analysis scope, framing, focus, perspective or methods is a critical part of the marketplace analysis structuring process that increases the possibility of distinctly different strategic inferences emerging. The article is a much needed guide to mastering strategic insight for executives and marketplace analysts.


2022 ◽  
pp. 294-318
Author(s):  
Fatma Chiheb ◽  
Fatima Boumahdi ◽  
Hafida Bouarfa

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.


Author(s):  
Fatma Chiheb ◽  
Fatima Boumahdi ◽  
Hafida Bouarfa

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.


2019 ◽  
Vol 18 (06) ◽  
pp. 1875-1908
Author(s):  
Akshay Hinduja ◽  
Manju Pandey

ERP system is a software package that integrates and manages all the facets of the business and deeply influences the success of a business endeavor. The increasing competition in the market, rapidly changing demands, and increasing intricacy of business procedures induce enterprises to adopt ERP solutions. Adopting an ERP solution increases synchronization between business activities and reinforces managerial decision-making. However, it also involves a large investment, a significant amount of human resources and time, and risk of failure. Therefore, the selection of an ERP solution is a crucial decision for enterprises. To address this decision-making problem, we propose a four-stage multi-criteria decision-making approach in this paper. Three prevalent MCDM techniques, DEMATEL, IF-ANP, and IF-AHP, are used in different stages of the methodology to achieve better outcomes. The methodology incorporates the intuitionistic fuzzy sets to capture uncertainty and hesitancy involved in decision makers’ judgments. In addition, we develop a novel priority method to derive weights from the intuitionistic fuzzy preference relations. To validate the feasibility of the proposed approach, a case study is carried out on the selection of cloud-based ERP system for SMEs in the Chhattisgarh state of India, which indicates that the proposed four-stage approach effectively handles the ERP selection problem.


2003 ◽  
Vol 4 (3) ◽  
pp. 295-312 ◽  
Author(s):  
Herbert Hax

Abstract In a normative theory of decision making in the firm, limited cognitive capabilities of decision makers can be taken into account in different ways. If individual decision making alone is being considered, the concept of rationality must be defined in such a way that it is acceptable from the viewpoint of potential users of the theory. In an organizational context, normative theory deals primarily with the design of contracts; as far as the anticipation of the actual behaviour of contract partners is concerned an empirically valid descriptive decision theory is needed. A major problem which arises if one applies contract theory to problems of corporate governance is the definition of an adequate standard to evaluate the firm’s outcome periodically. Accounting profit and market value are two possible measures, but both have grave shortcomings.


Author(s):  
Lidia Schapira

Overview: Improving clinician-patient communication, improving clinical decision making, and eliminating mistrust have been identified as three key areas for reducing disparities in care. An important step is the training of cancer professionals to deliver culturally competent care in clinical settings as well as increasing the proportion of underrepresented minorities in the health care workforce. Providing care that is attuned to the patient's cultural preferences begins by talking to the patient about his or her cultural history and identifying the locus of decision making, preferences for disclosure of vital health information, and goals of care. Patients with low literacy and those with poor fluency of the dominant language require additional services. Language interpretation by trained professionals is fundamental to ensure that patients are able to provide informed consent for treatment. A working definition of culture involves multiple dimensions and levels and must be viewed as both dynamic and adaptive, rather than simply as a collection of beliefs and values. Effective cross-cultural education avoids stereotyping and promotes communication and negotiation to solve problems and minimize tension and conflict. Recent research has identified that unconscious biases held by clinicians affect their behavior and recommendations for treatment.


2012 ◽  
Vol 178-181 ◽  
pp. 1898-1903
Author(s):  
Cheng Bing Li ◽  
Kui Yang

The urban transit network planning is considered as a group decision making problem with multiple objectives and multiple decision makers, due to the its planning characteristics. A new group decision making method is presented to overcome the problem in current group decision making. With the idea of integration and collaboration, the group decision making problem is turned into the group decision making with multiple objectives and decision makers, and the two stage decision model is established. The dynamic index is transformed into static index with the dynamic multi-valued context, and the first stage decision model is established by entropy weight theory. The weight is given by experts with cluster analysis, and the aggregation model of group decision making is established with relative entropy, in the second stage.


2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Chunqiao Tan ◽  
Xiaohong Chen

An effective decision making approach based on VIKOR and Choquet integral is developed to solve multicriteria group decision making problem with conflicting criteria and interdependent subjective preference of decision makers in a fuzzy environment where preferences of decision makers with respect to criteria are represented by interval-valued intuitionistic fuzzy sets. First, an interval-valued intuitionistic fuzzy Choquet integral operator is given. Some of its properties are investigated in detail. The extended VIKOR decision procedure based on the proposed operator is developed for solving the multicriteria group decision making problem where the interactive criteria weight is measured by Shapley value. An illustrative example is given for demonstrating the applicability of the proposed decision procedure for solving the multi-criteria group decision making problem in interval-valued intuitionistic fuzzy environment.


2018 ◽  
Vol 3 (1) ◽  
pp. 1-12
Author(s):  
Thais Spiegel ◽  
Ana Carolina P V Silva

In the study of decision-making, the classical view of behavioral appropriateness or rationality was challenged by neuro and psychological reasons. The “bounded rationality” theory proposed that cognitive limitations lead decision-makers to construct simplified models for dealing with the world. Doctors' decisions, for example, are made under uncertain conditions, as without knowing precisely whether a diagnosis is correct or whether a treatment will actually cure a patient, and often under time constraints. Using cognitive heuristics are neither good nor bad per se, if applied in situations to which they have been adapted to be helpful. Therefore, this text contextualizes the human decision-making perspective to find descriptions that adhere more closely to the human decision-making process. Then, based on a literature review of cognition during decision-making, particularly in healthcare context, it addresses a model that identifies the roles of attention, categorization, memory, emotion, and their inter-relations, during the decision-making process.


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