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This paper is aimed at developing a regression tree model useful to quantify the Money Laundering (ML) risk associated to a customer profile and his contracted products (customer’s inherent risk). ML is a risk to which different entities are exposed, but mainly the financial ones because of the nature of their activity, so that they are legally obliged to have an appropriate methodology to analyze and assess such a risk.

This paper uses the technique of regression trees to identify, measure and quantify the ML customer’s inherent risk.

After classifying customers as high- or low-risk based on a probability threshold of 0.5, this study finds that customers with 56 months or more of seniority are more risky than those with less seniority; the variables “contracted product” and “customer seniority” are statistically significant; the variables origin, legal entity and economic activity are not statistically significant for classifying customers; institution collection, business products and individual product are the most risky; and the percentage of effectiveness, suggested by the decision tree technique, is around 89.5 per cent.

In the daily practice of ML risk management, the two main issues to be considered are: 1) the knowledge of the customer, and 2) the detection of his inherent risk elements.

Information from the customer portfolio and his transaction profile is analyzed through BigData and data mining.

This paper aims to develop a money laundering risk management model for multiple-purpose financial institutions (SOFOMES, Spanish acronym for “Sociedades Financieras de Objeto Múltiple”) based on the best international practices.

A study of a sample of several SOFOMES is carried out through representative surveys and focus groups to collect information to develop a causal model of risk management under a Bayesian network approach together with a Monte Carlo simulation.

The probability that SOFOMES has a high incidence to be used as a mean of money laundering is 29.3%, correspondingly with a probability of 33.1% of having medium incidence and 37.4% of low incidence.

Only nine SOFOMES were willing to provide information for this study.

In Mexico, there is a large registry in the Ministry of Finance and the Attorney General’s Office of this type of practices in the SOFOMES sector, impacting tax collection and affecting the growth of the real sector. The proposed model serves to establish several preventive policies that reduce the incidence of this type of crime.

As far as the authors know, there is no other study as this one in Mexico or in the rest of the world.

The purpose of this paper is to analyze the roles played by organizational learning (OL) and innovation in organizations immersed in the processes of adaptation and strategic fit in dynamic and turbulent environments. The authors analyze whether OL and innovation act as sources of strategic fit, and whether strategic fit positively affects performance.

The authors use data from a survey of a representative sample of 204 respondents from European firms active in high-technology sectors (response rate: 10.42 percent) and structural equation modeling (using the EQS 6.1 program) to undertake a transversal study.

The model confirms that OL and the capacity to innovate positively influence managers’ decisions to adapt their organizations to changes in dynamic environments. The achievement of strategic fit, in turn, improves organizational performance. The authors propose considering the innovation climate as a facilitator of new product and process development, although the innovation climate is not a direct antecedent of fit.

This study is limited by the fact that the analysis is cross-sectional and by the fact that all measures used are based on managers’ perceptions.

Managers should create and support an entrepreneurial culture that stresses continuous learning. They should also foster programs aimed at developing abilities, and promote the development of capabilities that facilitate acceptance of organizational change. Investments in building certain capabilities, such as OL and the capacity to innovate, are strategically justified, especially in turbulent environments.

This study is one of the first to investigate the complex interactions among OL, innovation, strategic fit, and performance. The results improve our understanding of the links between strategic fit and performance.

This paper surveys the literature on supply chain integration (SCI) to identify the state of research in the various types of studied industries and manufacturing environments. The purpose of this paper is to identify academic discoveries that could provide offshore wind projects with means to overcome their current supply chain challenges.

A comprehensive literature review was conducted involving 162 articles published in 29 peer-reviewed journals. The papers were analyzed in terms of the dimensions of SCI, research methodology, unit of analysis, level of analysis, type of industry and manufacturing environment being studied, integrative practices, integrative barriers and the link between SCI and performance.

While SCI has been evolving to become an influential topic in the field of supply chain management, scholars have overlooked industrial contingencies by ignoring the differences between the studied industrial contexts, especially project-based manufacturing environments. The present review also reveals that no study of SCI has been conducted on the construction of renewable energy projects. Another finding is that case studies and research articles using networks as a unit of analysis are underrepresented.

This is the first work to advocate for an industrial contingency approach in the analysis of SCI. Thus, it proposes the offshore wind farm-construction industry as a potential study subject to broaden the knowledge in SCI in project manufacturing environments.

The European Journal of Marketing was created in 1967. In 2017, the journal celebrates its 50th anniversary. Therefore, the purpose of this study is to present a bibliometric overview of the leading trends of the journal during this period.

This work uses the Scopus database to analyse the most productive authors, institutions and countries, as well as the most cited papers and the citing articles. The investigation uses bibliometric indicators to represent the bibliographic data, including the total number of publications and citations between 1967 and 2017. Additionally, the article also develops a graphical visualization of the bibliographic material by using the visualization of similarities viewer software to map journals, keywords and institutions with bibliographic coupling and co-citation analysis.

British authors and institutions are the most productive in the journal, although Australians’ are growing significantly the number of papers published. Continental European institutions are also increasing the number of publications, but they are still far from reaching the British contribution so far. In the mid-term, however, these zone’s authors and institutions, especially those from big European countries like France, Germany, Italy and Spain, should reach a closer performance to British ones; more as less long, historic, but more recent periods of analysis are considered.

This article is useful for any reader of this journal to understand questions such as papers’ European Journal of Marketing-related scientific productivity in terms of, for instance, contributors/authors, institutions and countries, or the main sources used to back them.

This is the first comprehensive article offering a general overview of the leading trends and researchers of the journal over its history.

The purpose of this paper is to prove that e-learning, in union with another variable, builds a statistically significant relationship for estimating improvements in employment security, i.e., transition to employment of the same or higher job security as the previous year.

Using data from Eurostat 2007-2013 in 28 European countries, and after carrying out analysis of 261 regression models between the e-learning variable, along with another variable related to working conditions, education, or e-skills levels of citizens.

This study provides evidence about: there is a statistically significant relationship (p-value<0.05) between employment security (dependent variable), e-learning and another variable (independent variables) in 60.7 percent of 28 European countries analyzed (p-value<0.05 for at least one of these two independent variables); and there is a statistically significant relationship (p-value<0.05) in 75 percent of 28 countries (p-value<0.1 for at least one of these two independent variables). Consequently, a set with the minimum number of useful indicators for calculating the employment security is proposed: e-learning, labor transition, tertiary education, temporary employees, e-job search and e-skills.

Moreover, several similarities between studied countries are found, helping to formulate various recommendations based on complementarities between being an employee and using lifelong e-learning systems as a way for improving employment security.

This is one of the first studies to provide evidence of the relationship between e-learning and job security in Europe, in view of this, it should be considered as a key element and essential to any European policy related to work.

The purpose of this paper is to analyse the effects of brand trust and online brand community (OBC) trust on consumer repurchase intention and the positive electronic word-of-mouth (eWOM) intention of OBC members.

The research model was assessed using data from a sample of 628 OBC users using partial least squares structural equation modelling (PLS-SEM).

The results show that brand trust positively affects repurchase intention and positive eWOM intention, both directly and indirectly through OBC trust. The total effect of brand trust on the results is greater than that of OBC trust.

This research contributes to marketing theory and practice by analysing the combined effect of OBC trust and brand trust on the consumer–brand relationship in the context of OBCs.

El objetivo de esta investigación es analizar los efectos de la confianza en la marca y la confianza en la comunidad online de marca en la intención de los miembros de la comunidad de recomprar dicha marca y de hablar bien electrónicamente (eWOM) sobre la misma.

El modelo de investigación fue evaluado usando datos de una muestra de 628 usuarios de comunidades online de marca, mediante un modelo de ecuaciones estructurales por el método de mínimos cuadrados parciales (PLS-SEM).

Los resultados muestran que la confianza en la marca afecta positivamente a la intención de recompra y al eWOM positivo, directa e indirectamente a través de la confianza en la comunidad. El efecto total de la confianza en la marca es mayor que el de la confianza en la comunidad.

Esta investigación contribuye a la teoría y práctica del marketing al analizar el efecto combinado de la confianza en la marca y en la comunidad online de marca, en las relaciones consumidor-marca.

In an environment where favoring organizational learning is imperative, the option of business cooperation is considered an optimal means to transmit knowledge between companies and to encourage the generation of new ones. But differences in organizational cultures of the cooperation partners can make this process difficult. Through an empirical study of small and medium‐sized companies that had established international cooperation agreements during 1997 and 1998 in the Valencian community (Spain), the influence of the differences in size and in national culture of the partners in organizational learning is observed.

The authors analyze the relationship between different consumer attitudinal variables and a number of variables related to consumer perception of the store and purchasing behavior, in assortments composed exclusively of private labels (PLs).

The authors developed an experiment based on an online survey to test the hypotheses formulated. The model’s causal relationships are established using structural equations.

The image of stores that only offer their own brand is mainly configured by price consciousness and the attitude toward the private label. The private label purchase intention is strongly influenced by the store image and a favorable attitude toward the brand, and loyalty strategies should be aimed at securing a clear perception of providing real value.

For retailers who only offer their own brands, an assortment with price-competitive PLs is key to the strategy of differentiating them from other retailers. It is reasonable to assume that, if retailers have a favorable image, customers transfer this brand value to their PLs and trust them. Customer loyalty strategies of these retailers should be aimed at ensuring that consumers clearly perceive that their assortment provides real value and that, although it is limited in terms of number of brands, it can meet all their needs.

This research represents a significant contribution to brand management literature because, includes, together with loyalty to the store, its image and the PL purchase intention as consumer response variables. Another differentiating feature is the methodology used. Estimation of the structural equation model permits the simultaneous estimation of the relationships between the variables.

Analizamos la relación entre diferentes variables actitudinales de los consumidores y un número de variables relativas a la percepción de los consumidores con respecto al establecimiento y el comportamiento de compra, todo ello en surtidos compuestos exclusivamente por marcas de distribuidor.

Desarrollamos un experimento online, basado en una encuesta, para testar las hipótesis planteadas. Utilizamos ecuaciones estructurales para determiner las relaciones causales del modelo.

La imagen de los establecimientos que ofrecen exclusivamente su propia marca se configura, principalmente, por la conciencia de precio y por la actitud de los consumidores hacia la marca privada. La intención de compra de la marca de distribuidor está fuertemente influenciada por la imagen del establecimiento y por una actitud favorable hacia dicha marca, por lo que las estrategias de fidelización de clientes deberían estar orientadas a asegurar una clara percepción de proporcionar valor real a los consumidores.

Para los minoristas que ofertan exclusivamente sus propias marcas, un surtido con marcas de distribuidor muy competitivas en precio es fundamental en su estrategia de diferenciación de sus competidores. Además, es razonable suponer que si los minoristas cuentan con una imagen favorable, los consumidores trasladarán este valor de marca a sus propias marcas propias y confiarán en ellas. Las estrategias de fidelización de este tipo de minoristas deberían ir enfocadas a asegurarse de que los consumidores perciben claramente el valor real que aporta su surtido y que, aunque limitado en términos de número de marcas y alternativas, les permite cubrir todas sus necesidades.

Esta investigación supone una significativa contribución a la literatura sobre gestión de marcas al incluir, conjuntamente con la lealtad al establecimiento, su imagen y la intención de compra de la marca de distribuidor como variables respuesta del consumidor. Otro elemento diferenciador es la metodología empleada, ya que la estimación del modelo de ecuaciones estructurales permite la estimación simultánea de las relaciones entre las distintas variables.