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Boards of directors of large companies all over the world frequently have a certain number of shared directors, which can be motivated by social structures that foster different types of links, including investments and vertical relationships. The purpose of this paper is to identify the effects that board interlocking exerts on innovation, considering the different nature of shared directors that finally determines the type of links dominating the boards.

Panel regression analyses were conducted using data collected from 69 Spanish listed innovative sector companies during the period 2010–2014, which provided an unbalanced panel of 325 data observations.

The results suggested that the typology of interlocks determined their effects on innovation, which had a positive influence when independent and extra-industry directors held multiple directorships, whereas it was negative in the case of intra-industry and women interlocking directors.

This study provided evidence for the diverse effects of interlocking directorates and contributed to the open debate on the best board composition for improving business innovation, considering the common feature of shared directorships.

The value of this research was twofold. On the one hand, the study considered a wide typology of interlocking directorates, such as women, affiliated and independent directors, intra- and extra-industry directorships, as well as shared directors from the same country. On the other hand, the effects of these different interlocking directorate typologies were analysed on innovation by considering different innovation indicators.

The purpose of this paper is to analyze how the educational level and diversity of a firm's top management team (TMT), moderated by strategic consensus, influence its innovation performance.

Using Poisson regression analysis, the proposed models were tested on 97 innovative Spanish firms selected from the Dun and Bradstreet database of 2000.

Results show that a higher educational level in the TMT has a positive and direct effect on innovation performance, while functional diversity and diversity in TMT tenure have a direct and negative effect. However, in a situation of strategic consensus in the TMT, the relationship between functional diversity and innovation is positive.

The paper makes several contributions to previous research. First, few studies have considered the influence of the characteristics and composition of the TMT on the organization's innovation performance. Second, this paper responds to the calls of researchers to enrich the upper echelon theory by considering strategic consensus as a process of interaction between the members of the TMT that modifies the relationship between TMT diversity and the firm's innovation performance.

Smart cities attract efficient and profitable economic activities, contribute to the societal welfare of their citizens and foster the efficient use and conservation of natural resources. Developing smart cities has become a priority for many developed countries, but as they are preferred destinations for migrants, this raises sustainability issues. They attract people who are seeking a better quality of life, smart services and solutions, a better environment and business activities. The purpose of this paper is to review the state of the art on the relationship between smart cities and migration, with a view to determining sustainability.

A bibliometric review and text mining analyses were conducted on publications between 2000 and 2019.

The results determined the main parameters of this research topic in terms of its growth, top journals and articles. The role of sustainability in the relationship between smart cities and migration is also identified, highlighting the special interest of its social dimension.

A bibliometric approach has not been used previously to investigate the link between smart cities and migration. However, given the current relevance of both phenomena, their emergence and growth, this approach is appropriate in determining the state of the art and its main descriptors, with special emphasis on the sustainability implications.

The purpose of this paper is to gain a better understanding of the antecedents of the quality of graduates’ jobs when they enter the job market after university graduation.

Survey data collected from 173 Spanish bachelor and master’s degree university graduates at two time points (two months before and six months after graduation, approximately) were analyzed by means of path analysis.

A moderated mediation model was tested, where the relationship between the horizontal fit (HF) between the university degree subject and the student’s job and the quality of the graduate’s job after graduation is mediated by self-perceived employability and moderated by the time devoted to a student job. Results showed that the relationship between HF and job quality was partially mediated by self-perceived employability. However, contrary to the proposed hypothesis, this relationship did not depend on the time devoted to a student job.

This study contributes to improving the understanding about how and why university students’ work experience is related to the quality of their jobs as fresh graduates.

The case study is based on a series of in-depth interviews carried out with the owners and directors of the company. The data are complemented by documentary analysis, including descriptions of internal processes and industry information. For the teaching note, the authors opt for an exploratory study using the open-ended approach of grounded theory.

Arette^® is a Mexican family business dedicated to the production and sale of tequila, fusing the artisanal with the new in its production processes. Sales take place mostly in the European and American markets. The foreign market for tequila is very attractive but also very demanding both in terms of financial resources and time. Although the company has managed to enter this market through bars and restaurants, it has not yet managed to reach the final consumers (those who order margaritas in bars). Jaime, Eduardo and Lalo are wondering whether it might be time to invest more resources in ensuring that Arette^® is not just a brand for fine cocktails. Until now, their main promotional tool has been word of mouth, and they are not sure what their next step should be – to focus on the international or the domestic market.

The case study can be incorporated into undergraduate classes, where it could serve as part of an international marketing course, in particular, as an international sales strategy and implementation session. It can be used to teach basic concepts and their application.

This case study focuses on the decision that many small companies have to make at some point in their business strategy, which is to focus either on the international or domestic market: The objectives are as follows:

1. To identify the variables that increase or modify the demand for Tequila.

2. Compare the advantages and disadvantages of focusing on a domestic Tequila market or focusing on an international market.

3. Identify the critical variables that a small company faces if it wants to go international such as.

4. Identify if there are forms of diversification for Tequila Arette such as new markets or new products, or both.

The purpose of this paper was exploring and comparing different deterioration models based on statistical and machine learning approaches. These models were chosen from their successful results in other case studies. The deterioration models were developing considering two scenarios: (i) only the age as covariate (Scenario 1); and (ii) the age together with other available sewer characteristics as covariates (Scenario 2). Both were evaluated to achieve two different management objectives related to the prediction of the critical condition of sewers: at the network and the sewer levels.

Six statistical and machine learning methods [logistic regression (LR), random forest (RF), multinomial logistic regression, ordinal logistic regression, linear discriminant analysis and support vector machine] were explored considering two kinds of predictor variables (independent variables in the model). The main propose of these models was predicting the structural condition at network and pipe level evaluated from deviation analysis and performance curve techniques. Further, the deterioration models were exploring for two case studies: the sewer systems of Bogota and Medellin. These case studies were considered because of both counts with their own assessment standards and low inspection rate.

The results indicate that LR models for both case studies show higher prediction capacity under Scenario 1 (considering only the age) for the management objective related to the network, such as annual budget plans; and RF shows the highest success percentage of sewers in critical condition (sewer level) considering Scenario 2 for both case studies.

There is not a deterioration method whose predictions are adaptable for achieving different management objectives; it is important to explore different approaches to find which one could support a sewer asset management objective for a specific case study.

The originality of this paper consists of there is not a paper in which the prediction of several statistical and machine learning-based deterioration models has been compared for case studies with different local assessment standard. The above to find which is adaptable for each one and which model is adaptable for each management objective.

This paper aims to develop a framework to examine corporate water reporting (CWR) that considers the context in emerging economies and determine if and how companies are addressing the distinct water-related challenges and opportunities that they face in any given location.

This study combines a concise profile of the context of water resources management in Peru with a review of CWR guidelines and thematic content analysis of water information in sustainability reports for 34 companies operating in Peru. These data are then used to inform the development of a CWR typology via the use of a cluster analysis complemented by within-case and cross-case qualitative analysis of companies.

This study highlights the incomplete nature of most CWR practices of companies in Peru, with an emphasis on internal firm operations. Where companies do provide information on water risk and stakeholder engagement, there is insufficient detail to provide a clear picture of contributions to sustainable water management at the local level. The main drivers for CWR in Peru appear to be pressure from international markets, regulation and other normative issues.

The findings indicate that companies need to place more emphasis on the local context when reporting on water risks and activities, which could be achieved through the use of CWR frameworks that integrate both international and sectoral CWR guidelines, along with indicators related to good water governance, water, sanitation and hygiene service delivery and the sustainable development goals, as together they provide a more comprehensive reflection of the broader challenges and opportunities related to corporate water management.

This paper presents the first framework specifically developed to evaluate CWR practices with consideration of the context of an emerging economy.

With the growth of digital education, students increasingly interact in a variety of ways. The potential effects of these interactions on their learning process are not fully understood and the outcomes may depend on the tool used. This study explores the communication patterns and learning effectiveness developed by students using two basic synchronous and asynchronous communication tools in e-learning environments, specifically business simulation games.

The authors conduct a quasi-experiment research with 478 online business students, 267 of whom used online discussion forums and 211 interacted via an instant messaging app. The application of learning analytics and text mining on natural language processing allows us to explore the student communication patterns with each of tools and their effectiveness in terms of learning.

The results confirm the complementarity of the communication tools, asynchronous tools being especially the suitable for task-related communication and synchronous ones for speeding up and facilitating student social interactions.

The main value of this research lies in the use of data analytics and text mining to access and analyse the content of student interactions to assess the learning process in greater depth, comparing synchronous and asynchronous learning modes, considering that little is known about the impact of online synchronous interaction or instant messaging, and even less about the different features, content and performance that emerge when these two learner interaction modalities are compared.

The literature on the factors generating loyalty towards tourism destinations has seldom focussed its attention on relationship marketing, which has left a gap in the understanding of destination loyalty. This paper aims to examine the influence of relationship quality on rural destination loyalty, approaching this through the variables of trust, attachment and satisfaction.

This study used a quantitative methodology based on an on line survey conducted in Spain. The sample consisted of 464 tourists who participate in rural tourism. The analysis of the proposed model was carried out based on the partial least squares method.

The results confirm that the model has a substantial to moderate explanatory capacity for overall satisfaction and loyalty, in which overall satisfaction acts as a mediator between the variables that make up relationship quality in reference to loyalty.

The main limitations of this research arise from the scarcity of works which aim to understand relationship quality in tourism destinations. To broaden results, it should be applied in other tourism destinations, products, services and experiences.

Destination managers should give relationships a special role in their tourism development programmes in rural tourism contexts.

Rural tourism destinations and companies are generally small-sized organisations that need managerial tools. These can benefit from developing sustainable relationships.

The significant role played by relationship quality regarding destination loyalty is studied in detail in this model.

La literatura sobre los factores que generan lealtad a los destinos turísticos poco ha centrado su atención en el marketing relacional, lo que ha dejado un vacío en la comprensión de la lealtad al destino. Este artículo examina la influencia de la calidad relacional en la lealtad a los destinos rurales, a través de las variables confianza, apego y satisfacción.

Este estudio usa una metodología cuantitativa basada en una encuesta on line realizada en España. La muestra estaba formada por 464 turistas que practican turismo rural. El análisis del modelo propuesto fue llevado a cabo con el método partial least squares.

Los resultados confirman que el modelo tiene una capacidad explicativa sustancial-moderada para la satisfacción global y la lealtad, en la que la satisfacción global actúa como mediadora entre las variables que conforman la calidad relacional y la lealtad.

La principal limitación de esta investigación surge de la escasez de trabajos cuyo objetivo se centra en la comprensión de la calidad relacional en los destinos turísticos. Para ampliar los resultados, habría de aplicarse en otros destinos, productos, servicios y experiencias turísticas.

Los gestores de destinos deberían otorgar un papel especial a las relaciones en sus programas de desarrollo turístico en el medio rural.

Los destinos y empresas de turismo rural son por lo general organizaciones de pequeñas dimensiones que necesitan herramientas para la gestión. Ellas pueden beneficiarse del desarrollo de relaciones sostenibles.

El papel significativo que juega la calidad relacional con respecto a la lealtad al destino, estudiado en detalle en este modelo.

Marketing relacional, Calidad relacional, Lealtad, Destinos rurales, Partial least squares (PLS)

Artículo de investigación