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This study aims to map scientific publications, intellectual structure and research trends in the development of human resource management (HRM) by adopting innovative practices. Specifically, it aims to (1) identify the fundamental contributions of research and to (2) determine the lines of research that constitute the most prominent intellectual structure to contribute to defining a future research agenda.

This study employs bibliometric, bibliographic coupling and cluster analysis techniques. To evaluate any potential patterns among the articles, it is analyzed how those were jointly cited. Hierarchical cluster analysis was also applied to those subject to bibliographic coupling analysis within the scope of grouping the interrelated articles into distinct sets.

The results enabled the identification and classification of various theoretical perspectives on human resources development through the adoption of innovative practices into four main approaches: (1) organizational factors of success, (2) strategic HRM, (3) human behavior and (4) learning management.

This study identifies, explores, analyzes and summarizes the main themes contributing to deepening the literature by identifying the priority areas concerning HRM through the adoption of innovative practices that can guarantee international standards of excellence.

Social initiatives must disclose their results to access support. However, there is no theoretical consensus about how to do it. It is still necessary to understand the value creation in social initiatives because they may or not have economic goals. However, these goals serve to make the social ones feasible. This study aims to cut this Gordian knot by providing measures aligned to the value theory but developed by the social lens. It offers a non-economic-focused approach to dealing with assessment complexity and with multiple stakeholders’ needs for information.

A consolidation research path is suggested by three composed measures built upon tested and reliable scales. These value measures are discussed through narratives from Portuguese investors and social entrepreneurs in a mixed-methods design. Content analysis and online survey provided data for descriptive statistics, exploratory factor analysis and Cronbach's alpha test.

The analyses supported the value measures. Thus, they allow an effective way to assess and report the social value created. It also highlighted a potential use in preventive and corrective approaches helpful for several organizations that pursue social goals.

The measures were tested based on social entrepreneurs' opinions. Future studies can include beneficiaries' opinions, allowing comparisons that can help to set more realistic goals and better investment criteria.

The relationship between investors and initiatives can improve, boosting their impact on society. The measures can highlight prioritization choices that influence the way value is created. Hence, they serve as a sensemaking from a holistic standpoint.

This study aims to provide an example of the intersections between resilience and innovation within the social economy. It describes the Portuguese context, boosted by a pioneering public policy focused on building resilience through innovation. The sustainable development concept usually sets multilevel relationships among the government, social investors and entrepreneurs. In this sense, the study explores the role of innovation in promoting resilience in initiatives and society that may lead to sustainability.

The authors collected the primary data through semistructured interviews with social investors and an online survey with the invested or awarded entities from 2015 to 2020. The database represents 43.63% of acknowledged Portuguese social innovative initiatives, describing a complex and multilevel result. The case also provides a unique context for deepening the understanding of popular, relevant, but still underdeveloped concepts.

The results highlight progress in overcoming social and economic challenges. This progress happens through innovative initiatives aiming to solve social problems that reflect collective interests. The data suggest a context dynamization due to an increase of 31.3% in new initiatives. This increase can potentially represent a consistent investment in resilience and sustainable development.

This paper helps to contextualize and structure information for three fragmented concepts. It relies on their combination to compensate for each other frailties, assuming that innovation can be a crucial factor for boosting sustainable development, making possible the countries’ resilience. It also argues that the literature state can result from a paradigm shift, and these features can favor this process toward a better world.

A key point in the internationalisation process of companies comes with the choice of international market. Following this choice, the results companies may thereby obtain help in measuring their level of international performance. This study aims to measure the impact of internationalisation processes in keeping with company market orientations (MOs) through measuring their effect on international performance.

The authors obtained the data from a questionnaire sent out by email to a total of 8,103 exporting companies and/or with interests in exporting (the study population) registered in the AICEP-Portugal Global database that provided the email addresses of the company representatives responsible for internationalisation. The authors received a total of 320 valid responses (sample).

The results display a positive MO effect both on internationalisation processes and on international performance. The authors also note the importance of studying the influence of strategic orientations on internationalization processes, motivated by the particular SME’s characteristics.

The authors aim to contribute to the study of the influence of the MO, both upstream and downstream, thus seeking to verify its impact on internationalization processes.

The fashion industry is diverse and demands a high amount of resources and labor for its operation. It has powerful tools that can positively impact the environment and society as a whole. In this sense, it becomes necessary for fashion to adopt sustainable strategies quickly. One way would be the adoption of eco-innovations by companies in the sector. The objective of this research is to identify the main eco-innovation initiatives carried out by companies in the fashion sector and to verify what the trend is in the sector in relation to the types of eco-innovation, whether technological or non-technological in nature.

To meet the objective, the sector’s sustainability reports are analyzed based on the Global Reporting Initiative (GRI) initiative. The method used to treat the data is content analysis. The authors chose to use the GRI-G4 and GRI-Standards versions of the GRI structure, as they include topics relevant to its stakeholders. The analysis based on these criteria considers 18 reports prepared by four companies (Cia Hering, Grupo Malwee, Dudalina and Lojas Renner).

From the data analysis, it was noticed that eco-innovations of technological trends prevail in Brazilian fashion, in the first place, those of process (24.56%), followed by eco-innovations of product (10.53%). The pressure exerted by internal or external stakeholders will be fueled by the current scenario of sustainable development, positively influencing the adoption of eco-innovation. This characteristic can be attributed to the fashion sector, since technological eco-innovations overlap with non-technological ones in all the years that make up the analysis.

As limitations of this research, it is worth mentioning the availability of GRIs in the fashion sector. Even considering it a step forward, noting that larger companies support the adoption of these reports, it is important to highlight that only four companies make up the available database (Cia Hering, Lojas Renner, Dudalina and Malwee). From the adoption of the dissemination of sustainability reports by other organizations, the base could be expanded.

From this study, practical questions emerge that can contribute to managers and companies in the Brazilian fashion sector. Initially, the focus on eco-innovations is predominantly related to the technological component, with an emphasis on process eco-innovations. In this sense, business actions seek to resolve the accusations normally attributed to the sector, such as the adoption of unsustainable practices. For example, in cotton production, firms use large amounts of pesticides and water, despite the sector being accused of not taking proper responsibility regarding sustainability related issues.

Investment in eco-innovations indicates a positive attitude and change resulting from pressure and the need to return the market to society’s demands for more sustainable production technologies with less environmental impact.

The originality of the study lies in the systematization of a GRI analysis model applied to measure eco-innovations in fashion. Through the applied methodology, it is possible to emphasize that eco-innovations of technological trend prevail in the industry, first in processes and then in product development.

This article investigates (in)direct relationships between team-level entrepreneurial orientation and team performance, where team entrepreneurial orientation (EO) is measured as a team-level construct, not as concentration of team members' scores. In this article, the authors present and explore how EO-oriented behaviour within a team affect its performance, taking into account the team's trust in a manager and commitment to team and company goals.

This article focuses on a quantitative analysis of 55 teams operating within a large high-tech manufacturing enterprise, gathered through a traditional survey. The conceptual framework for this research was based on the theories of organisational citizenship, extra-role behaviour and social exchange. The authors explain how contextual factors establish a framework which enables team EO transformation towards higher performance of teams.

The results show that (team) performance benefits from EO-related behaviours. However, individual dimensions of EO are not universally beneficial and need to be combined with a mutual trust and/or commitment to team enterprise's goals to achieve high performance.

The findings provide important insight into which team factors may be targeted at the intervention or support of team members, including managers and immediate superiors who lack an active personality and are not willing to take risks at workplace. The authors adopted EO instruments, mutual trust and commitment from an individual scale to a team one, and also offer new opportunities to analyse such phenomena from a new level and evaluate them from the perspective of team managers.

Depression is a common and serious medical illness, considered as a public health issue because it interferes with the interpersonal, social and professional functioning of the individual, and its frequency is constantly increasing. According to a recent review, approximately 34 per cent of nursing students had experienced depression worldwide. The university period may represent a moment in which the mental well-being of students is subjected to stress with a relative predisposition to the development of diseases related to mood disorders. The purpose of this study is to estimate the prevalence and examine the socio-demographic correlates of depressive symptomatology.

In April 2019, a questionnaire was administered to all the nursing students of University of Palermo of the three years of course, accompanied by informed consent. Multivariable logistic regression was performed. The statistical significance level chosen for all analyses was 0.05. The results were analyzed using the STATA statistical software version 14. Results are expressed as adjusted odds ratio (aOR) with 95 per cent confidence intervals.

The sample consists of 493 students who completed the questionnaire, and the average age of the sample participants is 21.88 years. The multivariable logistic regression model shows that the risk to have depressive symptomatology is significantly associated with the following independent variables: female gender (aOR 1.91), being single (aOR 1.87), second year of study (aOR 1.94), third year of study (aOR 1.92), not performing regular physical activity (aOR 1.78) and perceived low health status (aOR 3.08).

This study shows that belonging to the female gender, being further along in the years of study, having a chronic illness and perceiving a low state of health are all factors that can increase the risk of developing the symptoms of depression; rather, regular physical activity, friendship and romantic relationships can be considered factors protecting them from the risk of falling into depression that can undermine both the study and work performance. Certainly, it is important to analyze all the involved variables to improve the global health not only of the nursing students but of all the students.

Service research offering a view of both the dark and bright sides of smart technology remains scarce. This paper embraces a critical perspective and examines the conflicting outcomes of smart services on the customer experience (CX), with a specific focus on chatbots.

This study uses empirical research methods to examine a single case study where an online retail service provider implemented a chatbot for customer service. Using discourse analysis, we analysed 7,167 conversations between customers and the chatbot over a two-year period.

The analysis identifies seven general themes related to the effects of the chatbot on CX: interaction quality, information gathering, procedure literacy, task achievement, digital trust, shopping stress and shopping journey. We illuminate both positive (i.e. having a pleasant interaction, providing information, knowing procedures, improving tasks, increasing trust, reducing stress and completing the journey) and negative outcomes (i.e. having an unpleasant interaction, increasing confusion, ignoring procedures, worsening tasks, reducing trust, increasing stress and abandoning the journey).

The paper develops a comprehensive framework to offer a clearer view of chatbots as smart services in customer care. It delves into the conflicting effects of chatbots on CX by examining them through relational, cognitive, affective and behavioural dimensions.

Children with Autism Spectrum Disorder (ASD) show reduced attention to social stimuli. The reasons for these impairments are still being debated by researchers. The aim of this study is to analyse if reduced attention towards social stimuli is determined by initial underlying difficulties in the control of visual attention. Among the variables that could produce these difficulties, the authors considered geometric complexity and typology of geometric figures.

To test this hypothesis, in this paper, an eye-tracker paradigm was used for assessing visual exploration and recognition memory towards geometric figures (curved vs rectilinear) with two levels of geometric complexity (low and high) in 17 children with ASD matched with 17 children with typical development (TD).

The results showed that the ASD group seemed indifferent to both the geometric complexity and the typology of figures (curved and rectilinear), whereas the TD group showed higher performances with highly complex and curved geometric figures than with low complex and rectilinear geometric figures.

Because of the chosen research approach, the research results may lack generalizability. Therefore, researchers are encouraged to test the proposed hypotheses further.

This paper includes implications upon the presence of an unspecified visual attention deficit that is present from the early stages of the processing of stimuli.

The understanding of this deficit from the early stages of the processing of stimuli can help educators to intervene at an early stage when disturbances in social relationships are starting.

This study contributes to understanding the presence of dysfunctional perceptual antecedents that could determine general difficulties in paying attention to social stimuli in ASD subjects.

The paper aims to explore the value generated by a specific configuration of a smart city's infrastructure by proposing a comparison between a silos configuration versus a crowd configuration at the data storage and processing level.

A system dynamics simulation is adopted to determine and compare the value created by the two configurations of smart city's infrastructure. The simulation outlines the flow of data and their positive and negative feedback that reinforce and hinder the smart city value generation.

The results demonstrate the huge impact of the availability of data for App developers when crowdsourcing configuration is adopted. Furthermore, results unveil the potential in value generation of a crowdsourcing smart city platform configuration compared to a silos architecture.

The authors have proposed a comparison between two alternative smart city digital platform configurations. The paper seeks to test the magnitude of the pros and cons of a crowdsourcing approach in setting up a smart city digital platform. The paper provides new guidelines for improving the data management of smart cities.