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The current student selection process for short-term mobility actions under the Erasmus + program (i.e. intensive programs and blended intensive programs) is based exclusively on the students' order of enrolment and their grades. This study offers an alternative approach using the analytic hierarchy process based on a four-layer model that collects information about the specificities of each project and the profile of the students and also promotes greater inclusion and homogenization of the project teams.

A decision support system was built by decomposing it into three stages: the predesign stage, in which the problem is characterized, and the user requirements are identified; the design stage, in which the models, the database and the interfaces are formulated; and the field stage, in which six test scenarios were built to validate the proposed solution.

The results show that this model can be applied with various selection criteria among students and consider both their hard and soft skills. It can also be applied to help build teams in which the students' knowledge is aligned with the technical skills required by the projects.

The proposed approach is innovative in that it responds to the emerging challenge of short-term European mobility programs that aim to involve students with multidisciplinary competencies. The solution considers both hard and soft skills in the selection of students, which allows changing the student selection paradigm and obtaining potentially more homogeneous multicultural teams with greater learning potential.

The purpose of this research is to review literature about the performance assessment (PA) in urban fire departments (FDs) to gain state-of-the-art of the fire departments' performance assessment (FDPA) and identify its most applied methods and indicators.

A five-stage structured literature review (SLR) is conducted to review the FDPA-related studies; then, the statistical analysis is applied to reveal more information from the extracted data and design a general framework for FDPA.

The systematic literature review resulted in 336 independent variables for FDPA and finding the data envelopment analysis (DEA) as the most applied FDPA method among the mathematical and statistical models in the reviewed papers. By using analysis outcomes, a general conceptual framework for FDPA is proposed.

The reviewed studies were limited to assessments at the strategic level and urban fire protection services.

The results of this research can support fire protection service managers, decision-makers, PA researchers and academicians to have a better understanding of FDPA and state-of-the-art in this field.

A considerable number of studies have been done about the FDPA to provide methods to improve the efficiency and effectiveness of FDs. Although there are reviews about PA in fire service areas, to the best of our knowledge, no study has been done about FDPA.

The purpose of this paper is to understand the relationship between franchisee support and brand value in micro-franchise chains. This study aims to understand the importance of value delivery in support to the micro-franchisee aiming at increasing brand value.

The sample was composed of 148 micro-franchisees belonging to 70 chains located in Brazil. The questionnaire aimed to verify the franchisee’s degree of concordance with the support and brand value provided by the franchisor through a Likert scale. The questionnaire structure comprised of ten metrics associated with franchisee support, four metrics associated with the brand value perception and four potentially intervenient metrics. A regression analysis was carried out to confirm the results for the factor analysis, assuming that the three factors associated with support as independent variables and the brand factor as a dependent variable.

The three factors related to franchisee support were found to be significant predictors of brand value. Based on the values of the coefficients, it is possible to infer the positive nature of the association. An increase in franchisee support leads to an increase in the franchisee perception about brand value. The positive effect of training and franchisor’s support in prospection and installation improvement on the brand value evaluation by franchisees was supported by the statistical analyses conducted.

This research complements the studies on brand citizenship behavior and franchisee brand commitment; the greater the support provided to the micro-franchisee, the greater its commitment to the brand values of the chain. This contribution is critical because we deal with micro-enterprises in a business environment with an intense resource scarcity. These aspects place restrictions on the delivery of support and brand value in these franchise chains.

Structured support plans and greater approximation with franchisees seem to be alternatives for this perception of value to be increased in micro-franchise chains. The attractiveness of a micro-franchise chain can be enhanced if the franchisor is able to show to its potential micro-franchisees that it offers adequate support for its business; and also for the capture of new micro-franchisees.

The social implications aimed at entrepreneurs with low financial expenditure. The sustainability of these businesses is highly relevant in the case of emerging markets given the high rates of unemployment and informality. Hence, micro-franchises become one of the means for micro-entrepreneurs to enter the job market.

When dealing with micro-franchises, there is an intensification of this scarcity of resources due to the smaller amount captured by the franchisor, as well as the lower technical level found in the franchisees. The relationship between brand value and the perceived level of support and the consequent franchise satisfaction with the chain in franchises, symbolized by brand citizenship behavior, is still little studied, and there are promising new studies, especially on the different types of franchises.

The purpose of this study is to identify the impact of intellectual capital on the innovation performance of the Jordanian banking sector and identify the moderating role of big data analytics.

For this study's purposes, 333 questionnaires were analysed. Convergent validity, discriminant validity and reliability tests were performed through structural equation modelling (SEM) in the Smart-PLS program. A bootstrapping technique was used to analyse the data.

Empirical results showed that each of the components of intellectual capital and big data analytics explains 63.5% of the variance in innovation performance and that all components of intellectual capital have a statistically significant impact on innovation performance. The results also revealed that the relationship between structural capital and innovation performance is moderated through big data analytics.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of its results, and the results are limited to one country.

This study promotes the idea of focusing on components of intellectual capital to enhance innovation performance in the Jordanian banking sector and knowing the effect of big data analytics in this relationship.

This study makes recommendations for financial policymakers to improve the effectiveness of intellectual capital practices and innovation performance in the context of big data analytics.

This study has important implications for leaders in the Jordanian banking sector, in general, as the study highlights the importance of intellectual capital to enhance the innovation performance, especially in light of the big data analytics in this sector, and thus increase the innovative capabilities of this banks, which leads to an increase in the level of innovation.

This study explores the connection between intellectual capital (IC) components and the competitive advantage (CA) of the hospitality sector in Jordan through the mediating role of service innovation as well as the moderating role of big data analytics capabilities.

Data were collected through a self-administered questionnaire from the hospitality sector with a sample of 402 respondents. Data were analysed using SmartPLS, a bootstrapping technique was used to analyse the data. The mediating effect for service innovation and the moderating effect for big data analytics capabilities were performed.

The results showed that the proposed moderated-mediation model was accepted because the relationships between the constructs were statistically significant. The results of the data analysis supported a positive relationship between human capital, structural capital and relational capital and the CA as well as a mediating effect of service innovation. The findings confirmed that there is a moderating relationship for big data analytics capabilities between service innovation and CA. The results illustrate the importance of IC and service innovation in enhancing CA in the Jordanian hospitality sector in light of the big data analytics capabilities.

This cross-sectional study provides a snapshot at a given moment in time, a methodological limitation that affects the generalisation of the limitation's results, and the results are limited to one sector.

This research developed a theoretical model to incorporate IC components, service innovation, big data analytics capabilities and CA. This paper offers new theoretical and practical contributions that add value to the innovation and CA literature by testing the moderated-mediation model of these constructs in the hospitality sector which has been greatly affected by the coronavirus disease 2019 (COVID-19) pandemic. This study is distinguished from other studies by highlighting the role of IC and service innovation in enhancing CA as service innovation contributes to the formation of many organisational advantages in the Jordanian hospitality sector.