scholarly journals How to Produce and Measure Throughput Legitimacy? Lessons from a Systematic Literature Review

2021 ◽  
Vol 9 (1) ◽  
pp. 226-236 ◽  
Author(s):  
Vincent Caby ◽  
Lise Frehen
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Collaborative Governance ◽  
Decision Makers ◽  
Participatory Decision Making ◽  
Making Sense ◽  
Input And Output ◽  
Complete Set ◽  
Output Legitimacy

After two decades of research on throughput legitimacy, making sense of the stock of accumulated knowledge remains a challenge. How can relevant publications on throughput legitimacy be collected and analysed? How can the level of throughput legitimacy be measured? Which policy activities contribute to the production of throughput legitimacy? To answer these questions, we designed and implemented an original systematic literature review. We find that the measurement of the level of throughput legitimacy introduces a number of problems that call for the systematic and rigorous use of a more complete set of precise, specific indicators to advance the theory of throughput legitimacy. A number of participatory decision-making activities contribute to the production of throughput legitimacy. Engaging in these activities is not without risk, as variations in throughput legitimacy affect input and output legitimacy. To prevent vicious circles, lessons can be drawn from the literature on collaborative governance and decision-makers’ strategies to support effective collaboration between stakeholders.

scholarly journals Systematic literature review of machine learning methods used in the analysis of real-world data for patient-provider decision making

2021 ◽  
Vol 21 (1) ◽  
Author(s):  
Alan Brnabic ◽  
Lisa M. Hess
Keyword(s):  
Machine Learning ◽  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Real World ◽  
Learning Algorithms ◽  
External Validation ◽  
Machine Learning Algorithms ◽  
Learning Methods ◽  
Machine Learning Methods

Abstract Background Machine learning is a broad term encompassing a number of methods that allow the investigator to learn from the data. These methods may permit large real-world databases to be more rapidly translated to applications to inform patient-provider decision making. Methods This systematic literature review was conducted to identify published observational research of employed machine learning to inform decision making at the patient-provider level. The search strategy was implemented and studies meeting eligibility criteria were evaluated by two independent reviewers. Relevant data related to study design, statistical methods and strengths and limitations were identified; study quality was assessed using a modified version of the Luo checklist. Results A total of 34 publications from January 2014 to September 2020 were identified and evaluated for this review. There were diverse methods, statistical packages and approaches used across identified studies. The most common methods included decision tree and random forest approaches. Most studies applied internal validation but only two conducted external validation. Most studies utilized one algorithm, and only eight studies applied multiple machine learning algorithms to the data. Seven items on the Luo checklist failed to be met by more than 50% of published studies. Conclusions A wide variety of approaches, algorithms, statistical software, and validation strategies were employed in the application of machine learning methods to inform patient-provider decision making. There is a need to ensure that multiple machine learning approaches are used, the model selection strategy is clearly defined, and both internal and external validation are necessary to be sure that decisions for patient care are being made with the highest quality evidence. Future work should routinely employ ensemble methods incorporating multiple machine learning algorithms.

scholarly journals A Systematic Literature Review of Multi-Criteria Decision-Making Methods for Sustainable Selection of Insulation Materials in Buildings

2021 ◽  
Vol 13 (2) ◽  
pp. 737
Author(s):  
Indre Siksnelyte-Butkiene ◽  
Dalia Streimikiene ◽  
Tomas Balezentis ◽  
Virgilijus Skulskis
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Energy Demand ◽  
Energy Performance ◽  
Future Research ◽  
Multi Criteria Decision Making ◽  
Insulation Materials ◽  
Advantages And Disadvantages ◽  
Selection Of

The European Commission has recently adopted the Renovation Wave Strategy, aiming at the improvement of the energy performance of buildings. The strategy aims to at least double renovation rates in the next ten years and make sure that renovations lead to higher energy and resource efficiency. The choice of appropriate thermal insulation materials is one of the simplest and, at the same time, the most popular strategies that effectively reduce the energy demand of buildings. Today, the spectrum of insulation materials is quite wide, and each material has its own specific characteristics. It is recognized that the selection of materials is one of the most challenging and difficult steps of a building project. This paper aims to give an in-depth view of existing multi-criteria decision-making (MCDM) applications for the selection of insulation materials and to provide major insights in order to simplify the process of methods and criteria selection for future research. A systematic literature review is performed based on the Search, Appraisal, Synthesis and Analysis (SALSA) framework and the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) statement. In order to determine which MCDM method is the most appropriate for different questions, the main advantages and disadvantages of different methods are provided.

scholarly journals Multiple Criteria Decision Making for the Achievement of the UN Sustainable Development Goals: A Systematic Literature Review and a Research Agenda

2021 ◽  
Vol 13 (8) ◽  
pp. 4129
Author(s):  
Manuel Sousa ◽  
Maria Fatima Almeida ◽  
Rodrigo Calili
Keyword(s):  
Decision Making ◽  
Sustainable Development ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Research Agenda ◽  
Sustainable Development Goals ◽  
Multiple Criteria Decision Making ◽  
Multiple Criteria ◽  
2030 Agenda ◽  
Development Goals

Multiple-criteria decision making (MCDM) methods have been widely employed in various fields and disciplines, including decision problems regarding Sustainable Development (SD) issues. The main objective of this paper is to present a systematic literature review (SLR) on MCDM methods supporting decisions focusing on the achievement of UN Sustainable Development Goals (SDGs) and the implementation of the 2030 Agenda for Sustainable Development in regional, national, or local contexts. In this regard, 143 published scientific articles from 2016 to 2020 were retrieved from the Scopus database, selected and reviewed. They were categorized according to the decision problem associated with SDGs issues, the MCDM methodological approach, including the use (or not) of fuzzy set theory, sensitivity analysis, and multistakeholder approaches, the context of MCDM applications, and the MCDM classification (if utility-based, compromise, multi-objective, outranking, or other MCDM methods). The widespread adoption of MCDM methods in complex contexts confirms that they can help decision-makers solve multidimensional problems associated with key issues within the 2030 Agenda framework. Besides, the state-of-art review provides an improved understanding of this research field and directions for building a research agenda for those interested in advancing the research on MCDM applications in issues associated with the 2030 Agenda framework.

scholarly journals artikel PK deli rahmadani 18002004

2019 ◽  
Author(s):  
deli rahmadani ◽  
Rusdinal ◽  
Hade Afriansyah
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review

Abstract - This article aims to explain some things about decision making. The methodology used to regulate this article is Systematic Literature Review (SLR). Researchers search from several trusted sources and then analyze it. The results of this article are based on the analysis of researchers in general there are several things.

scholarly journals Teori Serta Pendekatan Dalam Pengambilan Keputusan

2019 ◽  
Author(s):  
Yuda maimandre ◽  
Hade Afriansyah
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review

This article aims to describe how decisions and theories in the decision-making approach that can be taken as consideration in deciding what to deal with. The methodology used to regulate this article is Systematic Literature Review (SLR). First, researchers find relevant theories, and then make conclusions about them, then analyze, and finally make new researchers who analyze information. The results of this article are based on the analysis of researchers in general there are four theories in the decision-making approach.

Collaboration among public organizations: a systematic literature review on determinants of interinstitutional performance

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Lorenzo Costumato
Keyword(s):  
Literature Review ◽  
Performance Management ◽  
Systematic Literature Review ◽  
Public Management ◽  
Research Question ◽  
Collaborative Governance ◽  
Content Type ◽  
Systematic Overview ◽  
Interinstitutional Collaboration ◽  
Performance Determinants

PurposeThe concept of collaboration has received increased attention from scholars in public management, as it has been seen as a viable solution to address “wicked” problems. Solving such problems may require a horizontal collaboration within the same governmental jurisdiction or, vertically, between different levels of government. Despite broad interest from the field of public management, the dynamics of public interinstitutional collaboration have received little attention within the literature. This paper aims to provide a systematic overview of the most significant academic contributions on the topic, highlighting the features of this collaborative context and identifying determinants those can foster its performance.Design/methodology/approachIn total, two main literature streams have occasionally dealt with public interinstitutional collaboration and related performance management: the “collaborative governance” stream and “public network performance”. Through a systematic literature review (SLR), this paper answers the following research question: what has been done and what is missing in order to assess performance in the context of public interinstitutional collaboration?FindingsThe findings of this study suggest that the most relevant papers are those dealing with public interagency collaboration, as this form of collaboration presents several similarities with public interinstitutional circumstances. Furthermore, the authors provide an analysis of the main determinants of public interinstitutional performance, which highlight the effects of trust, power sharing, leadership style, management strategies and formalization on the achievement of efficient and effective collaboration between public entities.Originality/valueBy drawing on two autonomous literature streams, this paper describes the main features of public interinstitutional collaboration. It contributes to the field by offering a systematic overview of how specific performance determinants, which are widely recognized as relevant for collaboration in general, work in the specificity of public–public contexts.

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