scholarly journals Data Template For District Economic Planning

2012 ◽  
Vol 8 (2) ◽  
Author(s):  
Sharadini Rath
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Local Governance ◽  
Open Data ◽  
Economic Planning ◽  
Local Economy ◽  
Decision Makers ◽  
Structured Decision Making ◽  
Digital Maps ◽  
The Status

Defining ‘open data’ to mean insights from accessible data becoming available to elected decision makers within governance as structured inputs, this paper sets out the status in India in a study done in 2008-10 in the case of Madhubani district in the state of Bihar for district economic planning. The paper demonstrates that a large amount of accessible data can generate highly structured inputs, such as village level digital maps and comparative analysis to set out sectoral, temporal and geographical dimensions of the changes in the local economy. It also identifies disconnects within institutional and political functioning of governance that impedes such opening of data to structured decision making in local governance.

scholarly journals Approaches for multicriteria decision-making based on the hesitant fuzzy best–worst method

2021 ◽  
Author(s):  
Jian Li ◽  
Li-li Niu ◽  
Qiongxia Chen ◽  
Zhong-xing Wang
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Programming Model ◽  
Multicriteria Decision Making ◽  
Decision Makers ◽  
Multicriteria Decision ◽  
Preference Relations ◽  
Fuzzy Preference Relations ◽  
Decision Making Models ◽  
Best Worst Method

AbstractHesitant fuzzy preference relations (HFPRs) have been widely applied in multicriteria decision-making (MCDM) for their ability to efficiently express hesitant information. To address the situation where HFPRs are necessary, this paper develops several decision-making models integrating HFPRs with the best worst method (BWM). First, consistency measures from the perspectives of additive/multiplicative consistent hesitant fuzzy best worst preference relations (HFBWPRs) are introduced. Second, several decision-making models are developed in view of the proposed additive/multiplicatively consistent HFBWPRs. The main characteristic of the constructed models is that they consider all the values included in the HFBWPRs and consider the same and different compromise limit constraints. Third, an absolute programming model is developed to obtain the decision-makers’ objective weights utilizing the information of optimal priority weight vectors and provides the calculation of decision-makers’ comprehensive weights. Finally, a framework of the MCDM procedure based on hesitant fuzzy BWM is introduced, and an illustrative example in conjunction with comparative analysis is provided to demonstrate the feasibility and efficiency of the proposed models.

Nonrepresentative Representatives: An Experimental Study of the Decision Making of Elected Politicians

2017 ◽  
Vol 112 (2) ◽  
pp. 302-321 ◽  
Author(s):  
LIOR SHEFFER ◽  
PETER JOHN LOEWEN ◽  
STUART SOROKA ◽  
STEFAAN WALGRAVE ◽  
TAMIR SHEAFER
Keyword(s):  
Decision Making ◽  
Direct Evidence ◽  
Sunk Costs ◽  
Decision Makers ◽  
Strategic Decision ◽  
Personality Profiles ◽  
Future Time ◽  
Policy Choices ◽  
The Status ◽  
Considerable Body

A considerable body of work in political science is built upon the assumption that politicians are more purposive, strategic decision makers than the citizens who elect them. At the same time, other work suggests that the personality profiles of office seekers and the environment they operate in systematically amplifies certain choice anomalies. These contrasting perspectives persist absent direct evidence on the reasoning characteristics of representatives. We address this gap by administering experimental decision tasks to incumbents in Belgium, Canada, and Israel. We demonstrate that politicians are as or more subject to common choice anomalies when compared to nonpoliticians: they exhibit a stronger tendency to escalate commitment when facing sunk costs, they adhere more to policy choices that are presented as the status-quo, their risk calculus is strongly subject to framing effects, and they exhibit distinct future time discounting preferences. This has obvious implications for our understanding of decision making by elected politicians.

PRE-COVERAGE ASSESSMENTS OF NEW HOSPITAL INTERVENTIONS ON AUSTRIA: METHODOLOGY AND 3 YEARS OF EXPERIENCE

2012 ◽  
Vol 28 (2) ◽  
pp. 171-179 ◽  
Author(s):  
Philipp Mad ◽  
Sabine Geiger-Gritsch ◽  
Gerda Hinterreiter ◽  
Stefan Mathis-Edenhofer ◽  
Claudia Wild
Keyword(s):  
Decision Making ◽  
New Technologies ◽  
Decision Makers ◽  
Medical Services ◽  
Decision Making Process ◽  
Relevant Evidence ◽  
Objective Evidence ◽  
The Status ◽  
Set Up ◽  
Grade Methodology

Objectives: A new decision-making process was set up by the Austrian Ministry of Health to regulate coverage of new proposed Extra Medical Services (EMS; German: Medizinische Einzel-Leistung [MEL]) in 2008. As part of the annual decision-making process an independent academic institution (LBI-HTA) is evaluating relevant evidence on these new technologies and provides HTAs, including evidence-based recommendations for decision makers.Methods: About ten EMS assessments are performed annually by the LBI-HTA simultaneously between January and March. Each peer-reviewed report consists of a systematic literature review and critical appraisal of evidence using the GRADE methodology. The generation of numerous reports of good quality standards within the short timeframe is achieved by a standardized workflow with predefined assignment of tasks for all participants.Results: In total, the LBI-HTA performed twenty-five EMS assessments on thirty-three different interventions in the last three years. Coverage was recommended with limitation for eleven (33%) interventions, and not recommended for twenty-two (66%) interventions. The federal health commission decided on acceptance or preliminary acceptance of coverage in seven (22%) cases, rejection in eighteen (55%) cases and changed the status to “subject to approval” in seven (24%) cases.Conclusions: Pre-coverage assessment of new hospital interventions was implemented successfully in Austria. It has proved to be a useful tool to support decision makers with objective evidence when deciding whether or not to reimburse medical services.

scholarly journals Making management decisions in conditions of risk and uncertainty

KANT ◽  
2020 ◽  
Vol 37 (4) ◽  
pp. 106-109
Author(s):  
Diana Kenina ◽  
Olga Zvyagintseva ◽  
Ludmila Khripkova
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
External Environment ◽  
Research Topic ◽  
Decision Makers ◽  
Strategic Decision ◽  
Risk And Uncertainty ◽  
Mathematical Methods ◽  
Management Decisions ◽  
Modern Economic

The relevance of the research topic is due to the fact that today, in rapidly changing conditions, primarily the external environment, managers as strategic decision-makers need special skills for prompt and competent decision-making. The article contains research, as well as a comparative analysis of modern economic and mathematical methods for developing and making management decisions, and recommendations for their application in practice. Along with the theoretical and methodological significance, the work has a pronounced practical orientation, and is of interest to specialists in the field of Economics and management

scholarly journals Subnational Adaptation Finance Allocation: Comparing Decentralized and Devolved Political Institutions in Kenya

2015 ◽  
Vol 15 (3) ◽  
pp. 118-139 ◽  
Author(s):  
Sam Barrett
Keyword(s):  
Decision Making ◽  
Political Institutions ◽  
Local Governance ◽  
Decision Makers ◽  
Political Systems ◽  
Climate Variability And Change ◽  
County Governments ◽  
Vulnerable Communities ◽  
Before And After ◽  
Economic Preferences

Adaptation finance is designed to help vulnerable populations withstand effects of climate variability and change. However, levels of vulnerability seldom determine finance distribution. Political and economic preferences of national and local government decision-makers tend to direct funding streams. This article takes an institutional approach to adaptation finance allocation by comparing decentralized and devolved local governance structures managing adaptation finance in Kenya before and after the Constitution of 2010. Prior to reforms, funding was directed through decentralized mechanisms operating within district councils and local authorities; recently, devolution of political, administrative, and fiscal decision-making to county governments coincided with piloting of new local adaptation funds. Theory suggests that devolution institutionalizes more participative decision-making and fairer allocations. Evidence suggests vulnerable communities are indeed more likely to access, design, and receive allocations of finance in devolved political systems.

When is a Decision-Making Method Trustworthy? Criteria for Evaluating Multi-Criteria Decision-Making Methods

2015 ◽  
Vol 14 (06) ◽  
pp. 1171-1187 ◽  
Author(s):  
Thomas L. Saaty ◽  
Daji Ergu
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Decision Problem ◽  
Decision Makers ◽  
Decision Problems ◽  
Practical Reasons ◽  
Multi Criteria Decision Making ◽  
Analysis And Evaluation ◽  
Better Than

Decision makers often face complicated decision problems with intangible and conflicting criteria. Numerous multi-criteria decision-making (MCDM) methods have been proposed to handle the measurement of the priorities of conflicting tangible/intangible criteria and in turn use them to choose the best alternative for a decision. However, the presence of many MCDM methods bewilders users. The existence of these methods becomes a decision problem in itself, and decision makers may be uncertain about which one to use. Thus the comparative analysis and evaluation of various MCDM methods has come under scrutiny by both researchers and practitioners in order to discover if there are logical, mathematical, social or practical reasons why one method is better than another. Criteria for their evaluation are the first important issue that needs to be resolved. In this paper, 16 criteria are introduced that may be used to judge and evaluate various MCDM methods. The criteria proposed and some guidelines for their evaluation are given to help readers evaluate these MCDM methods.

scholarly journals Nuevas tendencias para la optimización de los procesos de Inteligencia de Negocios

2021 ◽  
Vol 11 (1) ◽  
pp. 524-539
Author(s):  
Rosa Mirelly García Jara ◽  
◽  
Katty Susana Gutiérrez Villanueva ◽  
Katherin Vanessa Rodríguez Zevallos ◽  
Frank Edmundo Escobedo Bailón
Keyword(s):  
Decision Making ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Response Times ◽  
Open Data ◽  
Decision Makers ◽  
Process Automation ◽  
Effectiveness And Efficiency ◽  
Automated Support ◽  
Data Acquisition Process

Business Intelligence is becoming more and more relevant in companies, this is due to the fact that decision makers rely on it to perform the work itself. Based on this assertion, it is necessary to facilitate the BI process, reducing response times and increasing effectiveness and efficiency. This article shows different ways to perform Business Intelligence, from the origin, i.e. the extraction of data, to the last link of the process related to decision making. To this extent, new alternatives are presented that with the necessary study have shown that they go beyond what we now know as BI, allowing not only to make decisions but also to propose that these have an automated support, also allowing the data to be processed practically alone and to handle more real reports based on data from various sources. The objective of the study is to analyze the new trends for the development of processes related to business intelligence, for which a meticulous bibliographic review has been carried out by consulting scientific articles, books and scientific conferences. First, the description of terms and the staging of the information collected through the research, dedicated to the various innovative trends for the deployment of Business Intelligence, showing new definitions, architectures and trends that are currently being carried out, have been developed. Finally, SOA architecture proposals, open data acquisition, process automation and data warehouse reengineering would allow the optimization of business intelligence through their alternatives.

scholarly journals Algorithm for Neutrosophic Soft Sets in Stochastic Multi-Criteria Group Decision Making Based on Prospect Theory

Symmetry ◽  
2019 ◽  
Vol 11 (9) ◽  
pp. 1085 ◽  
Author(s):  
Dong ◽  
Hou ◽  
Gong
Keyword(s):  
Decision Making ◽  
Comparative Analysis ◽  
Prospect Theory ◽  
Group Decision Making ◽  
Group Decision ◽  
Weighted Average ◽  
Decision Makers ◽  
Aggregation Rule ◽  
Decision Matrix ◽  
Soft Sets

To address issues involving inconsistencies, this paper proposes a stochastic multi-criteria group decision making algorithm based on neutrosophic soft sets, which includes a pair of asymmetric functions: Truth-membership and false-membership, and an indeterminacy-membership function. For integrating an inherent stochastic, the algorithm expresses the weights of decision makers and parameter subjective weights by neutrosophic numbers instead of determinate values. Additionally, the algorithm is guided by the prospect theory, which incorporates psychological expectations of decision makers into decision making. To construct the prospect decision matrix, this research establishes a conflict degree measure of neutrosophic numbers and improves it to accommodate the stochastic multi-criteria group decision making. Moreover, we introduce the weighted average aggregation rule and weighted geometric aggregation rule of neutrosophic soft sets. Later, this study presents an algorithm for neutrosophic soft sets in the stochastic multi-criteria group decision making based on the prospect theory. Finally, we perform an illustrative example and a comparative analysis to prove the effectiveness and feasibility of the proposed algorithm.

scholarly journals A Citizen-Centric Approach for the Improvement of Territorial Services Management

2020 ◽  
Vol 9 (4) ◽  
pp. 223 ◽  
Author(s):  
Monica Sebillo ◽  
Giuliana Vitiello ◽  
Michele Grimaldi ◽  
Antonio De Piano
Keyword(s):  
Decision Making ◽  
Information System ◽  
Positive Impact ◽  
Decision Makers ◽  
The Internet ◽  
Sensitive Information ◽  
Context Sensitive ◽  
The Status ◽  
Mobile Component ◽  
Spatio Temporal

In the last decade, there has been a growing awareness that the involvement of citizens in decision making can produce an immediate and positive impact on actions to be taken, as they are the real owners of knowledge about the place where they live. By collecting and geolocating data through smartphones and the Internet, citizens in fact can help decision makers both create sharable spatio-temporal information about objects and phenomena and interpret territorial dynamics. However, although such a role has been definitely recognized, the lack of a homogeneous paradigm for structuring the sensing process, managing the geo big data produced and handling services makes it difficult to exploit such a potentiality. In this paper, we describe a citizen-centric approach conceived to build territorial knowledge useful to provide decision makers with a timely and reliable picture of the status of a given territory. In particular, a visual representation of geospatial knowledge is described, which summaries context-sensitive information about a territory and its citizens, thus improving the land monitoring tasks. An information system, SAFE, is finally presented, which consists of a Web and a mobile component to manage citizen supplied data to be integrated for building reliable dynamic scenarios.

Managing Public Utilities: Lessons from Florida

10.4335/238 ◽  
2013 ◽  
Vol 11 (2) ◽  
pp. 101-118 ◽  
Author(s):  
Nuno Ferreira da Cruz ◽  
Sanford V. Berg ◽  
Rui Cunha Marques
Keyword(s):  
Decision Making ◽  
Local Governance ◽  
Current System ◽  
Decision Makers ◽  
Public Utilities ◽  
Good Practices ◽  
Managerial Attention ◽  
Potential Sources ◽  
Infrastructure Services

This paper considers the institutional and regulatory framework of local infrastructure services in Florida. Furthermore, it examines how decision-makers perceive the governance structures of publicly-owned utilities in this state. After reviewing the theory, the study describes the current system in terms of rate setting, investments, consumer protection and quality of service. A state-wide survey was developed to identify potential sources of tension between managers and politicians. The responses were supplemented by interviews with managers, enabling the authors to identify good practices of local governance, including the de-politicization of the decision-making and the managerial attention to sustainable approaches to funding infrastructure.

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