scholarly journals Competitiveness framework to support regional-level decision-making in the wine industry: a systematic literature review

2021 ◽  
Vol 10 (2) ◽  
pp. 29-40
Author(s):  
Jorge Mota ◽  
Rui Costa ◽  
António Moreira ◽  
Silvana Serrão ◽  
Carlos Costa
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Cultural Capital ◽  
Systematic Literature Review ◽  
Intellectual Capital ◽  
Performance Indicators ◽  
Regional Level ◽  
Wine Industry ◽  
Regional Competitiveness ◽  
Support Decision Making

This study aims to identify the main performance indicators and group them in dimensions within a regional competitiveness framework to support decision-making in the wine industry. For this research, a systematic literature review (SLR) was conducted in the Scopus database. There is a limited number of studies identifying indicators with impact on the performance of wine regions, and even fewer studies including indicators in an integrated approach to measure the different dimensions of wine regions’ performance. From a set of 85 papers, only 9 studies related to performance indicators with a specific focus on the regional level were considered. We document that under a convention framework, economic and territorial indicators cover 84.90% of all SLR indicators analysed, and under a regional competitiveness framework, infrastructure and innovation and intellectual capital indicators fill 81.25% of all the indicators. As this group of indicators is limited to a set of sub-dimensions, we found that several groups of indicators are misrepresented, such as the ones related to human and socio-cultural capital areas, which play a crucial role in the regional competitiveness of the wine industry. This paper contributes to the literature identifying indicators according to convention and regional competitiveness frameworks in three dimensions – economic, environmental and territorial dimensions and five main areas – productive capital, human capital, socio-cultural capital, infrastructure and intellectual capital. These indicators are to be used at regional-level to support decision-making in the wine industry. For regional entities, it discloses the most pertinent indicators which need improvement to craft regional strategies. This framework is of added value for policymakers to customize their support programmes so that specific producers can enhance their competitive strategies. It could also be deployed in teaching programmes as a tool to address the importance of aligning different types of indicators to achieve better performance in the wine industry.

Performance indicators to support firm-level decision-making in the wine industry: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Jorge Mota ◽  
António Moreira ◽  
Rui Costa ◽  
Silvana Serrão ◽  
Vera Pais-Magalhães ◽  
...  
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Performance Indicators ◽  
Corporate Strategy ◽  
Environmental Indicators ◽  
Wine Industry ◽  
Firm Level ◽  
Content Type ◽  
Level Performance

Purpose The purpose of this paper is to conduct a systematic literature review (SLR) to identify the main firm-level performance indicators and group them in dimensions that support decision-making in the wine industry. Design/methodology/approach To achieve this goal, an SLR approach was conducted in the Scopus database from 2009 to 2019. From a set of 607 articles, only 25 studies related to firm-level performance indicators were considered and, following an inductive thematic analysis and an interpretative synthesis, separated into different specific foci that include social, economic and environmental dimensions. Findings There is a limited number of papers identifying indicators regarding the firm-level performance of wine firms, and even fewer studies including indicators on an integrated approach to measure the different dimensions of firm performance. This paper documents that economic and environmental indicators cover 78.2% of all SLR indicators analyzed. As this group of indicators is limited to a set of sub-dimensions, this paper found that several groups of indicators are misrepresented, such as product portfolio or certifications related to marketing activities and indicators covering purchasing and supply chain activities, which play a crucial role in the competitiveness of the wine industry. Practical implications For practitioners, it discloses the most pertinent indicators they need to improve to craft their business strategies. This framework is of added value for policymakers to customize their support programs for specific producers to develop their competitive strategies. It could be deployed in teaching programs as a tool to address the importance of aligning different types of indicators to achieve firm-level performance in the wine industry. Originality/value This study contributes to the literature identifying a framework of analysis that includes indicators of four dimensions, namely, economic, social, territorial and environmental. This framework aims to relate performance measures to corporate strategy as a management control tool. The framework intends to improve the fit between firms’ activities and their competitive context and to be flexibly adapted to various products/firms in the wine industry.

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.

Systematic Literature Review on Smart Mobility: A Framework for Future “Quantitative” Developments

2021 ◽  
pp. 088541222199424
Author(s):  
Mauro Francini ◽  
Lucia Chieffallo ◽  
Annunziata Palermo ◽  
Maria Francesca Viapiana
Keyword(s):  
Cluster Analysis ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Performance Indicators ◽  
State Of The Art ◽  
Measurement Model ◽  
Broader Impacts ◽  
Research Goal ◽  
Smart Mobility ◽  
Definition Of

This work aims to reorganize theoretical and empirical research on smart mobility through the systematic literature review approach. The research goal is to reach an extended and shared definition of smart mobility using the cluster analysis. The article provides a summary of the state of the art that can have broader impacts in determining new angles for approaching research. In particular, the results will be a reference for future quantitative developments for the authors who are working on the construction of a territorial measurement model of the smartness degree, helping them in identifying performance indicators consistent with the definition proposed.

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.

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