Clustering of European countries based on ISO 9000 certification diffusion

Franceschini, Fiorenzo; Galetto, Maurizio; Maisano, Domenico Augusto Francesco; Mastrogiacomo, Luca

doi:10.1108/02656711011043535

Cited by 55 publications

(46 citation statements)

References 22 publications

(35 reference statements)

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This tendency has been particularly pronounced in countries where the EMAS certification was traditionally well established, such as Germany and Spain. Nevertheless, as underlined by Franceschini et al (2010), a similar tendency could occur in others European countries where EMSs certifications have increased over the last few years.…”

Section: Introductionsupporting

confidence: 60%

Renewing environmental certification in times of crisis

Saizarbitoria

Boiral

Arana

2016

Journal of Cleaner Production

View full text Add to dashboard Cite

The certification of environmental management systems based on international meta-standards such as ISO 14001 and the Eco Management and Audit Scheme has become one of the most common environmental practices. Nevertheless, the financial and economic difficulties faced by many organizations raise the issue of certification renewal and may have an impact on the trends toward decertification recently observed, notably in the case of the later standard. Surprisingly, this issue remains almost unexplored in the literature. The objective of this paper is to analyze the intention to renew environmental certifications in time of crisis in light of the motivations, obstacles and benefits of this standard. For that purpose, correlation and regression analyses were used with data obtained from 361 Spanish certified firms. The novelty of the study lies in analyzing for the first time in the literature how the intention to renew environmental certifications is shaped by several factors within a context of deep economic crisis. The article contains practical implications for the stakeholders of third party environmental certification, notably managers and policy-makers.

show abstract

Section: Introductionsupporting

confidence: 60%

Renewing environmental certification in times of crisis

Saizarbitoria

Boiral

Arana

2016

Journal of Cleaner Production

View full text Add to dashboard Cite

show abstract

“…Clustering countries according to performance showed valuable results in identifying common patterns of countries' development in many areas (see e.g. [6,7,14]). Logical clustering technique used in this paper, which employs Interpolative Boolean Algebra as a consistent fuzzy approach, enables more comprehensive differentiation between clusters [21].…”

Section: Introductionmentioning

confidence: 99%

Logical clustering approach for analysing digital economy and society performance of countries

Rakičević

Rakićević

Poledica

2019

Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and

View full text Add to dashboard Cite

Digitization, digitalization and digital transformation represent one of the primary incentives of today's development. To successfully implement these changes, countries need to create smart digital policies which are evidence-and databased. The study presented in this paper uses the logical clustering approach for grouping countries according to five dimensions of the Digital Economy and Society Index (DESI). Logical clustering employs Interpolative Boolean Algebra (IBA) as a consistent fuzzy approach, which means that all Boolean axioms are fulfilled. To measure proximity among countries, logical clustering uses IBAbased exclusive disjunction and logical aggregation. The general aim is to provide help in identifying directions for defining smart digital policies for achieving digital competitiveness of nations, based on the analysis of similarities among countries.The results indicate that logical clustering enables more comprehensive differentiation between clusters than the original composite index methodology does, and determination of the primary areas of action in clusters, among similar countries. Some interesting cases where logical clustering results differ from the original methodology are discussed.

show abstract

“…In market segmentation, cluster analysis was applied to countries in which some indicators were defined by percentages of GDP (Day, Fox, & Huszagh, 1988;Kantar, Deviren, & Keskin, 2014;Liapis, Rovolis, Galanos, & Thalassinos, 2013;Powell & Barrientos, 2004) or correlations between GDP and various variables or cross-correlations of already clustered countries were investigated (Ausloos & Lambiotte, 2007;Franceschini, Galetto, Maisano, & Mastrogiacomo, 2010;Furnham, Kirkcaldy, & Lynn, 1996). Alternative approaches with the goal to cluster countries were performed using GDP and other variables at the same point in time (Michinaka, Tachibana, & Turner, 2011).…”

Section: Introductionmentioning

confidence: 99%

Cluster Analysis of Per Capita Gross Domestic Products

Thrun¹

2019

EBER

View full text Add to dashboard Cite

A B S T R A C T Objective:The purpose of this article is to show the value of exploratory data analysis performed on the multivariate time series dataset of gross domestic products per capita (GDP) of 160 countries for the years 1970-2010. New knowledge can be derived by applying cluster analysis to the time series of GDP to show how patterns in GDP can be explained in a data-driven way. Research Design & Methods:Patterns characterised by distance and density based structures were found in a topographic map by using dynamic time warping distances with the Databionic swarm (DBS) 1 . The topographic map represents a 3D landscape of data structures. Looking at the topographic map, the number of clusters was derived. Then, a DBS clustering was performed and the quality of the clustering was verified. Findings: Two clusters are identified in the topographic map. The rules deduced from classification and regression tree (CART) show that the clusters are defined by an event occurring in 2001 at which time the world economy was experiencing its first synchronised global recession in a quarter-century. Geographically, the first cluster mostly of African and Asian countries and the second cluster consists mostly of European and American countries. Implications & Recommendations: DBS can be used even by non-professionals in the field of data mining and knowledge discovery. DBS is the first swarm-based clustering technique that shows emergent properties while exploiting concepts of swarm intelligence, self-organisation, and game theory.

show abstract

Clustering of European countries based on ISO 9000 certification diffusion

Cited by 55 publications

References 22 publications

Renewing environmental certification in times of crisis

Renewing environmental certification in times of crisis

Logical clustering approach for analysing digital economy and society performance of countries

Cluster Analysis of Per Capita Gross Domestic Products

Contact Info

Product

Resources

About