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Studies on psychiatric comorbidity in individuals with borderline intellectual functioning (BIF) are scarce, particularly with respect to certain diseases frequently observed in clinical practice. The purpose of this paper is to discuss the relevance of epidemiological research to psychiatric comorbidity in people with BIF.

Systematic searches of MEDLINE, EMBASE and Cochrane databases. Inclusion criteria: publications about BIF appearing between 1995 and 2017; epidemiological findings about comorbid mental disorders in individuals with BIF; and studies comparing BIF, mild intellectual disability (ID) and normal intellectual functioning. The discussion covers 24 of the 224 studies initially considered.

The most frequent psychiatric comorbidity reported was personality, post-traumatic as well as psychotic disorders, followed by psychosis, attention deficit and hyperactivity disorder, bipolar and sleep disorders. Individuals with BIF exhibit psychiatric comorbidity more frequently than individuals with normal intellectual functioning. Some psychiatric comorbidities were similarly prevalent in patients with BIF and those with mild or moderate ID; however, the prevalence was always higher in people with severe ID. Environmental factors, especially psychosocial adversity, seem to play an important mediating role. Pharmacotherapy is the most common treatment approach, including behavioural disorders.

This review of literature on mental disorders in people with BIF demonstrates the epidemiological relevance of psychiatric comorbidity, especially personality and post-traumatic disorders. Mental health professionals, general practitioners and other workers in outpatient settings have to be aware about the vulnerability and even fragility of people with BIF.

In Spain, three parallel processes have taken place during the last 20 years: decentralisation, a health reform and a mental health reform. These processes have produced an extremely complex situation in support and care for people with mental retardation. The decentralisation process was not accompanied by a clear definition of the co‐ordination mechanisms among local authorities, and as a result many different health and social care systems have emerged at different times. This makes the description of the current care organisation difficult. An important characteristic of the Spanish system is the major role of NGOs in care and policy‐making and planning in this area. A shift from institutional to community care has begun for both psychiatric patients and people with mental retardation, but compared with neighbouring countries and published standards, the provision of intermediate services and non‐hospital residential care is very low, and the situation is worst for people with mental retardation and psychiatric problems.

The purpose of this paper is to design and test a conceptual model integrating uses and gratifications (UGT), self-image congruity (SIC), and theory of planned behavior (TPB) theories to identify the drivers that lead users to develop intentions to purchase clothing products through social networking sites (SNS).

Using an online questionnaire, data were collected from customers of clothing products who visit the SNS of their preferred clothing brands (n=1,003). Empirical results, using partial least squares regressions, were used to test the conceptual model.

The results supported the model and showed, as the main result, that purchase intention through the use of SNS is positively affected by intentions to use SNS and SNS use. SNS use is influenced by intentions to use SNS and by UGT. Intentions to use SNS are positively affected by UGT, attitude and perceived behavioral control (PBC). Attitude is positively influenced by UGT, SIC, PBC and subjective norm.

These findings reveal that the critical elements in achieving purchase intentions in users through SNS include obtaining their participation by managing the SNS according to users’ self-image and offering useful gratifications.

This paper integrates theories of SIC, UGT and the TPB in a context of technology post-adoption to understand users’ purchase intentions through SNS. By establishing this novel theoretical integration approach, this paper furthers insight into purchase intentions through SNS.

The purpose of this study is to provide a better understanding of customer brand engagement (CBE) by proposing and empirically testing a model of antecedents and consequences of CBE for user-initiated online brand communities (OBCs).

The model is tested using a sample of 584 participants in two relevant OBCs created and managed by brand fans. Specifically, data were collected from two communities in the photography products category: Nikonistas and Canonistas.

The results indicate that community and brand identification positively and significantly influence CBE. Furthermore, the supporting role of OBCs’ moderators facilitates CBE and moderates the influence of community identification on CBE. Regarding the outcomes of CBE, the results show that higher levels of engagement are positively, directly and significantly associated with favorable intentions towards the brand and the community. These effects are then mediated by brand affective commitment.

The study has been conducted in two Spanish OBCs of two specific high-involvement products category: it is cross-sectional and focuses on a limited number of antecedents and consequences.

Evidence from this research supports and emphasizes the potential that these platforms have for brand management such that firms’ resources could be best allocated on those elements that lead to superior CBE.

The study endorses the role of CBE in fostering brand and community-related favorable outcomes in the context of user-initiated OBCs. It shed lights on the potential that these online platforms have for brands and on the role that brand management should play in digital contexts that are outside the direct control of the company.

Despite agreement on the importance of adopting governance structures for developing competitive advantage, we still know little about why or how governance mechanisms are adopted in the first place. We also acknowledge that family businesses with formal governance mechanisms in place still resort to informal means to make decisions, and we lack knowledge about why certain governance mechanisms are sometimes, but not always, effective and functional. Given these research gaps, and drawing on institutional theory, we aim to explore: How are governance structures adopted and developed in family firms? Once adopted, how do family businesses perceive these governance structures?

Using Mokken Scale Analysis, a method suitable to uncover patterns/sequences of adoption/acquisition over time, we analyze a dataset of 1,488 Spanish family firms to explore if there is a specific pattern in the implementation of governance structures. We complement the analysis with descriptive data about perceived usefulness of such structures.

Our findings highlight two important issues. Family businesses follow a specific process implementing first business governance (board of directors, then executive committee), followed by family governance (family council then family constitution). We suggest they do so in response to institutional pressures, given the exposure they have to business practices, and their need to appear legitimate. Despite formal adoption of governance structures, family businesses do not necessarily consider them useful. We suggest that their perception about the usefulness of the implemented governance structures may lead to their ceremonial adoption, resulting in a gap between the implementation and functionality of such structures.

Our article contributes to the family business literature by bringing novel insights about implementation of governance structures. We take a step back to explain why these governance mechanisms were adopted in the first place. Using institutional theory we enrich governance and family business literatures, by offering a lens that explains why family businesses follow a specific process in adopting governance structures. We also offer a plausible explanation as to why governance structures are ineffective in achieving their theorized role in the context of family businesses, based on the family's perception of the unusefulness of such structures, and the concept of ceremonial adoption.

There is no single recipe that can serve the multiple needs of different family businesses. This indicates that family businesses may need diverse levels of development and order when setting up their governance structures. Accordingly, this study constitutes an important point of demarcation for practitioners interested in examining the effectiveness of governance structures in family firms. We show that an important pre-requisite for examining the effectiveness of governance structures is to start by investigating whether these structures are actually being used or are only adopted ceremonially.

Our paper expands current knowledge on governance in family firms by taking a step back hinting at why are governance structures adopted in the first place. Focusing on how governance is implemented in terms of sequence is novel and relevant for researcher and practitioners to understand how this process unfolds. Our study uses institutional theory, which is a strong theory to support the results. Our paper also uses a novel method to study governance structures in family firms.

316 L stainless steel alloy is potentially the most used material in the selective laser melting (SLM) process because of its versatility and broad fields of applications (e.g. medical devices, tooling, automotive, etc.). That is why producing fully functional parts through optimal printing configuration is still a key issue to be addressed. This paper aims to present an entirely new framework for simultaneously reducing surface roughness (SR) while increasing the material processing rate in the SLM process of 316L stainless steel, keeping fundamental mechanical properties within their allowable range.

Considering the nonlinear relationship between the printing parameters and features analyzed in the entire experimental space, machine learning and statistical modeling methods were defined to describe the behavior of the selected variables in the as-built conditions. First, the Box–Behnken design was adopted and corresponding experimental planning was conducted to measure the required variables. Second, the relationship between the laser power, scanning speed, hatch distance, layer thickness and selected responses was modeled using empirical methods. Subsequently, three heuristic algorithms (nonsorting genetic algorithm, multi-objective particle swarm optimization and cross-entropy method) were used and compared to search for the Pareto solutions of the formulated multi-objective problem.

A minimum SR value of approximately 12.83 μm and a maximum material processing rate of 2.35 mm³/s were achieved. Finally, some verification experiments recommended by the decision-making system implemented strongly confirmed the reliability of the proposed optimization methodology by providing the ultimate part qualities and their mechanical properties nearly identical to those defined in the literature, with only approximately 10% of error at the maximum.

To the best of the authors’ knowledge, this is the first study dealing with an entirely different and more comprehensive approach for optimizing the 316 L SLM process, embedding it in a unique framework of mechanical and surface properties and material processing rate.

Digital natives constitute a substantial part of consumers nowadays. Yet, a theoretical understanding of the factors driving their engagement with new-age digital services is lacking. This study therefore aims to examine digital natives’ continuance usage of the proliferating over-the-top (OTT) services. To address these objectives, the study uses a comprehensive model that primarily integrates perceived value, cognitive absorption and customer brand engagement theories.

Data were collected using an online personal questionnaire targeting active digital natives OTT service users using the online software tool SurveyMonkey. A sample of 1,415 digital natives was analysed using structural equation modelling.

The findings indicated that continuance usage is predicted by all three theories. The results illustrate that cognitive absorption and customer brand engagement are the most critical in enhancing continuance usage. Gender effects on digital natives’ value perceptions were found. The model explains 57% of the variance in users’ continuance usage.

The study adds valuable contributions to the existing literature that are relevant to digital natives’ engagement with new-age digital services. The proposed integrated model and the role of gender in value formations provide managers with novel insights when designing effective strategies to increase continuance usage for the largest consuming generation.

The peer review history for this article is available at: https://publons.com/publon/10.1108/OIR-03-2022-0133

This study aims to examine the impact of the gameful experience on behavioural outcomes. Drawing from stimulus–organism–response theory, it proposes and tests a new model that investigates the relationship between the gameful experience, brand loyalty and intention to use gamified branded applications in the sports context. In addition, it explores the mediating role of customer–brand engagement (CBE) and the moderating role of self-image congruity (SIC).

A sample of 436 active users of sport-related branded gamified applications was used to test the model. Data was collected from online sports forums, brands’ Facebook communities and during sporting events.

Results indicate that the gameful experience positively and directly impacts behavioural intentions but does not directly influence brand loyalty. This relationship becomes partially significant when mediated by CBE. In addition, results show that users with high levels of SIC are more likely to continue using the gamified application, whereas users with low levels are more likely to engage with the brand.

This study expands the gamification literature in the sports sector by revealing the importance of the gameful experience in driving loyalty, behavioural intentions and CBE. It proposes a new model that sheds light on the emotional aspect of the interaction between a user and a gamified system and the importance of exploring the effects of moderators, such as SIC, in these relationships.

The purpose of this paper is to describe further developments on a novel formulation of the boundary element method (BEM) for inelastic problems using the dual reciprocity method (DRM) but using object-oriented programming (OOP). As the BEM formulation generates a domain integral due to the inelastic stresses, the DRM is employed in a modified form using polyharmonic spline approximating functions with polynomial augmentation. These approximating functions produced accurate results in BEM applications for a range of problems tested, and have been shown to converge linearly as the order of the function increases.

A programming class named DRMOOP, written in C++ language and based on OOP, was developed in this research. With such programming, general matrix equations can be easily established and applied to different inelastic problems. A vector that accounts for the influence of the inelastic strains on the displacements and boundary forces is obtained.

The C++ DRMOOP class has been implemented and tested with the BEM formulation applied to classical elastoplastic problem and the results are reported at the end of the paper.

An object-oriented technology and the C++ DRMOOP class applied to elastoplastic problems.

This paper aims provides an empirical analysis of the development of the internationalisation process in the Spanish hotel industry, which has experienced major changes during the past decade. The degree of internationalisation between 2000 and 2010 is used as a proxy variable with the aim of mapping the development of international strategies.

A longitudinal dataset measuring the internationalisation of Spanish hotel chains is used. Cluster analysis identifies the different behaviour of groups of firms during the analysed period.

Two different clusters are detected, which can be attributed to different internationalisation strategies over time. Small and medium (SME) hotel companies seem to follow a different path of development than more established multinational companies. Over time, the entire group tends to be more compact, whereas the distance between the clusters is shown to diverge in final years. The groups’ composition suggests that business-networking relationships can be a strategy of particular importance for SMEs pursuing international expansion.

This paper develops a better understanding of the changes of the internationalisation patterns of Spanish hotel chains. Findings could address managers in strategic decisions about how to improve competitive position. In particular, they recommend accounting for size, international experience and business network relationships when expanded abroad.

This paper introduces a new approach based on studying clusters of Spanish hotels according to their internationalisation strategies over the time. Further analysis revealed the role of business network on internationalisation patterns.