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 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.

scholarly journals A literature review on the causality between sustainability and corporate reputation

2020 ◽  
Vol 31 (2) ◽  
pp. 406-430 ◽  
Author(s):  
Ana Maria Gomez-Trujillo ◽  
Juan Velez-Ocampo ◽  
Maria Alejandra Gonzalez-Perez
Keyword(s):  
Literature Review ◽  
Corporate Reputation ◽  
Corporate Strategy ◽  
Social Issues ◽  
Research Question ◽  
Reputation Management ◽  
Future Research ◽  
Firm Level ◽  
Global Networks ◽  
Content Type

PurposeThe purpose of this paper is to summarize previous research findings of the relationship between reputation and sustainability at the firm level.Design/methodology/approachThis research uses a systematic literature review of 306 retrieved articles that matched the search criteria. After applying filters and narrowing the sample to a total of 156 articles of a 19-year period (2000–2019) that were finally content analyzed for this study in order to identify sources, authors, theories, methodologies, and opportunities for future research.FindingsFindings demonstrate that in most of the cases, sustainability appears to be an antecedent of corporate reputation and a tool to enhance stakeholders' acceptance and perceptions on companies' activities.Practical implicationsThe study shows the potential of sustainability reporting as a tool to enhance corporate reputation; moreover, it also discussed the likely effect of sustainability over brand equity. This research confirms the importance of having strategic management of both corporate sustainability and reputation management. Including both reputational management and sustainability in the corporate strategy can be a potential source to create value, protect against difficulties and liabilities, and maximize business survival.Social implicationsFor business, establishing clear positions in relation to environmental and social issues, building collaborative global networks and authentic local relations, giving signals that reaffirm business purposes with all stakeholders, and adhering to the sustainable development agenda enhance positive corporate reputation.Originality/valueIn addition to answering the stated research question and in fact filling a gap in the literature, this study led us to identify 25 research questions classified in seven different areas (measurement and scales; causes and effects; longitudinal studies; geographical contexts; theory building; digital as a novel environment; and new actors and institutions).

Behavioural biases in investment decision making – a systematic literature review

2015 ◽  
Vol 7 (1) ◽  
pp. 88-108 ◽  
Author(s):  
Satish Kumar ◽  
Nisha Goyal
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Empirical Research ◽  
Systematic Literature Review ◽  
Investment Decision ◽  
Future Research ◽  
Behavioural Finance ◽  
Content Type ◽  
Investment Decision Making ◽  
The Impact

Purpose – The purpose of this paper is to systematically review the literature published in past 33 years on behavioural biases in investment decision-making. The paper highlights the major gaps in the existing studies on behavioural biases. It also aims to raise specific questions for future research. Design/methodology/approach – We employ systematic literature review (SLR) method in the present study. The prominence of research is assessed by studying the year of publication, journal of publication, country of study, types of statistical method, citation analysis and content analysis on the literature on behavioural biases. The present study is based on 117 selected articles published in peer- review journals between 1980 and 2013. Findings – Much of the existing literature on behavioural biases indicates the limited research in emerging economies in this area, the dominance of secondary data-based empirical research, the lack of empirical research on individuals who exhibit herd behaviour, the focus on equity in home bias, and indecisive empirical findings on herding bias. Research limitations/implications – This study focuses on individuals’ behavioural biases in investment decision-making. Our aim is to analyse the impact of cognitive biases on trading behaviour, volatility, market returns and portfolio selection. Originality/value – The paper covers a considerable period of time (1980-2013). To the best of authors’ knowledge, this study is the first using systematic literature review method in the area of behavioural finance and also the first to examine a combination of four different biases involved in investment decision-making. This paper will be useful to researchers, academicians and those working in the area of behavioural finance in understanding the impact of behavioural biases on investment decision-making.

Cognitive biases and decision-making strategies in times of change: a systematic literature review

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Chiara Acciarini ◽  
Federica Brunetta ◽  
Paolo Boccardelli
Keyword(s):  
Decision Making ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Cognitive Biases ◽  
Future Research ◽  
Strategic Decisions ◽  
Data Set ◽  
Content Type ◽  
The Impact

PurposeIn a work environment marked by unprecedented complexity, volatility and ambiguity, managers must accomplish their objectives while navigating many challenges. This paper aims to investigate potential interrelations among environmental transformations, cognitive biases and strategic decisions. In particular, the purpose of the study is to crystallize the state of art on the impact of cognitive biases on strategic decisions, in the context of environmental transformations.Design/methodology/approachThe authors have conducted a systematic literature review to identify existing relevant work on this topic and to detect potential avenues for future research.FindingsThe findings highlight how decision-making is influenced and enabled by internal (e.g. perception) and external factors (e.g. digitalization). Specifically, the strategic role of cognitive biases appears to be crucial when investigating the related impact on strategic decisions in times of environmental transformation.Practical implicationsImplications are drawn for scholars and practitioners interested in evaluating the role of specific decision-making determinants for the formation and implementation of strategic decisions. In this sense, we stress that decision-makers need to manage their cognitive biases and select the right information out of a wide data set in order to adapt to environmental transformations.Originality/valueBy systematizing the literature review, potential interrelations among environmental transformations, cognitive biases and strategic decisions are identified. Furthermore, the primary phases that drive the decision-making process are proposed (analysis, decision, onboarding and control).

The rise of participatory despotism: a systematic review of online platforms for political engagement

2019 ◽  
Vol 17 (4) ◽  
pp. 422-437
Author(s):  
Rose Marie Santini ◽  
Hanna Carvalho
Keyword(s):  
Systematic Review ◽  
Decision Making ◽  
Literature Review ◽  
Political Participation ◽  
Systematic Literature Review ◽  
Empirical Studies ◽  
Content Type ◽  
Online Platforms ◽  
Administrative Change ◽  
The Impact

Purpose The purpose of this paper is to present a systematic literature review of empirical studies into online platforms for political participation. The objective was to diagnose the relationship between different types of digital participatory platforms, the real possibilities of participation generated by those initiatives and the impact of such participation on the decision-making process of governmental representatives. Design/methodology/approach A systematic literature review was conducted using pre-defined terms, expressions and criteria. A total of 434 articles from 1995 to 2015 were gathered from the Web of Science database. And, 32 studies were selected from those articles for meta-synthesis, and the cases investigated were evaluated according to the e-participation ladder model (Smyth, 2001). Findings The results indicated that online political participation worldwide remains timid both in quantity and quality. We have witnessed the growth of a kind of “rhetorical participation” promoted by policy-makers and the rise of a “participatory despotism”, in which only the privileged partake, while the majority remains silent. Practical implications The solutions found to promote increased participation and ensure its effectiveness ranged from shaping the platform design in accordance with citizens’ capacities and interests to a need for profound political–administrative change, which includes the world’s public agencies adopting a more transparent, inclusive and collaborative approach to decision-making. Originality/value This paper proposes a systematic review, mapping the studies on online platforms for political participation, analysing the questions, methods and conclusions found by the authors and evaluating each case study with a participation ladder.

Gender and firm innovation - A systematic literature review and future research agenda

2020 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Arun TM ◽  
Rojers P. Joseph
Keyword(s):  
Literature Review ◽  
Systematic Literature Review ◽  
Emerging Market ◽  
Empirical Studies ◽  
Future Research ◽  
Firm Level ◽  
Firm Innovation ◽  
Content Type ◽  
Future Research Agenda ◽  
Quantitative Studies

PurposeThis paper presents a systematic review of 94 research articles in the domain of gender and firm innovation to map the area and infer future research avenues. The literature captured in this review includes seven theoretical, 16 qualitative and 71 quantitative studies from over 50 journals, examining the role of gender in firm innovation in over 100 countries.Design/methodology/approachThis research utilises a reproducible systematic literature review process to identify prominent theoretical and empirical studies.FindingsThe findings suggest that the area is growing and presents interesting opportunities. However, it is observed that empirical investigations are primarily influenced by literature from the Anglo-Saxon areas and give little attention to contextual intricacies of emerging market countries. Among quantitative studies, three main themes of gender are addressed unevenly. They are Top Management Team (TMT) diversity level, R&D team diversity level and individual entrepreneur level studies. Six interesting research avenues are proposed as a major outcome of the review.Originality/valueThis review is one of the first of its kind to extensively review the literature of gender and firm-level innovation. The review consolidates and widens the understanding of the relationship between gender variables and firm innovation-related variables to advance the discussion in the domain by presenting research gaps and questions gleaned from the articles. To this end, the review presents six promising research avenues in the area of gender and firm innovation.

Utilizing a systematic literature review to develop an integrated framework for information and knowledge management systems

2017 ◽  
Vol 47 (2) ◽  
pp. 250-264 ◽  
Author(s):  
Chulatep Senivongse ◽  
Alex Bennet ◽  
Stefania Mariano
Keyword(s):  
Knowledge Management ◽  
Literature Review ◽  
Systematic Literature Review ◽  
Value Added ◽  
Specific Area ◽  
Management Systems ◽  
Knowledge Management Systems ◽  
Content Type ◽  
Integrated Framework ◽  
Information And Knowledge Management

Purpose The purpose of this paper is to demonstrate the value of using a systematic literature review to develop an integrated framework for information and knowledge management systems. Design/methodology/approach First, the systematic literature review method is introduced, differentiating it from traditional literature reviews in terms of value-added and limitations. Second, this methodology is used in a research application focused on absorptive capacity internal capabilities with regard to the processes of acquisition, assimilation, transformation and exploitation. Third, an integrated framework for information and knowledge management systems is developed from this application. Findings The systematic literature review approach provides a rigor that can assist in reducing researcher bias while simultaneously enabling the definition of a precise scope of review, with a clear explanation of selection criteria with the objective to find and review all the studies that are relevant to the search definitions. As a research method, it effectively supports a qualitative, quantitative or mixed methodology. Research limitations/implications This methodology was applied to one specific area of research. Specific limitations include the availability of articles in subscribed databases and the analytical capabilities of the tools used for text mining and analytics. Originality/value This paper demonstrates the usefulness of the systematic literature review methodology in developing an integrated framework for analysis.

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.

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