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This study aims to investigate the factors influencing team innovation from the perspective of strategic leaders. The study draws from the leader–member exchange (LMX) theory to propose that the quality of exchange the leaders perceive with the team members may provide a useful cue to identify the key elements and processes that may help drive team innovation.

A qualitative study using a hybrid approach was used, and a thematic analysis was performed. The data were based on 25 interviews collected from strategic leaders using the long interview technique.

The findings revealed themes and factors influencing innovation orientation among leaders and team members. Five themes were identified, namely modeling leadership behavior, autonomy and psychological safety for teams, organizational structure and technology, innovation and the decision-making process and innovation during times of uncertainty.

Because of the purposefully chosen sample of only leaders who were involved in the innovation process, the research results may lack generalizability. Therefore, researchers are encouraged to corroborate the finding using a sample of teams involved in the innovation process.

A conceptual model is proposed with guidance for implementing innovation decisions and strategies in practice.

While the strategic leadership and team innovation literature emphasizes the interaction between leaders and team members, research on how these interactions unfold is still nascent. This paper fulfills these needs from a strategic leader’s perspective.

This study aims to test the unemployment hysteresis hypothesis for Nordic countries by considering age and gender differentials at various frequencies.

First, the authors test the linearity of the unemployment series and apply appropriate unit root tests based on the linearity test results. The authors use these tests for both original and wavelet-decomposed unemployment rates.

The authors' findings indicate that the results obtained from the original and decomposed series differ. While the authors find evidence of unemployment hysteresis in the six unemployment rates in the short run, they observe supportive results for hysteresis in the three unemployment rates in the long run.

The authors take into account different age and gender groups. Furthermore, the authors propose a testing strategy for unemployment hysteresis that considers the nonlinearity and structural breaks in unemployment rates. Finally, the authors determine whether the unemployment hysteresis is valid at various frequencies.

Particularly in response to rapidly changing circumstances and environments, conservation involves identifying and retaining an element of heritage, stability, and familiarity in both existing areas and informing the design of new areas. Yet this is a complex and contested process. It involves processes of valuation and selection: so whose heritage is being selected, prioritized, promoted, and retained, and whose is marginalized, redeveloped, and vanishes? And individuals and communities do change over time, so the views and values of those communities are also likely to change. Incomers do not necessarily share the same values as long-term residents. On a wider scale, what is generally accepted as worthy of conservation also changes with, for example, postwar modernism, brutalism, and postmodernism becoming accepted but difficulties with problematic heritage ‒ of war, destruction, slavery and exploitation, for example – being contentious and potentially splitting communities. What one generation values, particularly if it is (relatively) new, can be seen by others as disfiguring, and this is very evident in the contentious heritage identification and conservation of urban art and graffiti. We use a range of examples from the United Kingdom, Europe, and elsewhere to identify and critique the processes and products – the landscapes of heritage manipulation, the decision-making processes, the power of individuals and communities. All these are critical factors in the complex interrelationship between placemaking and conservation, new and old.

This study aims to explore the enhancement of mechanical properties in epoxy resin composites through the incorporation of graphene nanoparticles, focusing on their impact and wear resistance. It investigates the role of graphene, both treated and untreated, as a reinforcing agent in composites, highlighting the significance of nanoparticle dispersion and surfactant treatment in optimizing mechanical performance.

Employing a novel dispersion technique using a drawing brush, this research contrasts with traditional methods by examining the effects of graphene nanoparticle concentrations treated with surfactants – Polyvinylpyrrolidone (PVP) and Sulphonated Naphthalene Formaldehyde (SNF) – on the mechanical properties of epoxy resin composites. The methodology includes conducting a series of impact and wear tests to assess the influence of graphene reinforcement on the composites' performance.

The findings reveal a marked enhancement in the composites impact resistance and energy absorption capabilities, which escalate with an increase in graphene content. Additionally, the study demonstrates a significant improvement in wear resistance, attributed to the superior mechanical properties, robust interface adhesion and effective dispersion of graphene. The use of surfactants for graphene treatment is identified as a crucial factor in these advancements, offering profound insights into the development of advanced composite materials for diverse industrial uses.

This study introduces a unique dispersion technique for graphene in epoxy composites, setting it apart from conventional methods. By focusing on the critical role of surfactant treatment in enhancing the mechanical properties of graphene-reinforced composites, it provides a novel insight into the optimization of impact and wear resistance.

This study aims to show the complexities of engagement between students - Venezuelan and Brazilian - and their teachers. This qualitative ethnographic study documents the everyday pedagogies and practices that take place in elementary schools with high levels of refugee and immigrant children. While Brazilian law ensures the basic right to public education, forbidding discrimination based on nationality or immigration status (Lei de Diretrizes e Bases da Educação, 1996), the barriers remain. Through the frameworks of multicultural (USA) and intercultural (Brazil) education, this paper shows how Brazilian teachers and students of Venezuelan and Brazilian backgrounds engage, learn from one another and build welcoming spaces, but also how stereotypes are reinforced inside classrooms and schools.

This qualitative study uses ethnography to understand how recent Venezuelan migratory flow influences Brazilian and Venezuelan children’s educational experiences in elementary education. Participants were Venezuelan (N = 57) and Brazilian (N = 76) children in two elementary schools in the city of Boa Vista. Data sources for the study are school observations in four elementary classrooms (1st and 2nd grade) and semi-structured interviews with caregivers, teachers, administrators and other educators. This paper also collected children’s drawings and writings and documents like curricula, strategic planning, guidelines, policies, grades, reports and any other textual or photographic material made available at the city level.

In the field of education, there is a critical need for understanding children’s education experiences. This paper focuses on the experiences of teachers and students in two elementary schools in Brazil. This paper focus on two findings: first that teachers promote the learning of Portuguese to show care toward their Venezuelan students. Second, children in the classroom show solidarity with one another and resist some of the more rigid Portuguese-only practices enacted by teachers. This work uses the frameworks of intercultural (more commonly used in Brazil) and multicultural education to inform the analysis.

In this study, this paper puts these frameworks of interculturalism, multiculturalism, language use and solidarity into conversation to understand the dynamics of two elementary classrooms in the city of Boa Vista, Brazil. While this paper shows the shortcomings of a seemingly multicultural and multilanguage classroom, it also shows how children actively resist the rigidity of teaching and learning in elementary schooling.

This study is a response both to the increasing South–South migration trend in Latin America and its consequences on public education systems. Through multicultural and intercultural lenses, this research highlighted the complexity of interactions within multicultural classrooms by delving into a two-year ethnographic study conducted in Boa Vista, Brazil, focusing on Venezuelan and Brazilian children in two local elementary schools. This paper focused on two main observations this paper refers to as “Teaching Portuguese as a Way of Caring” and “Children's Solidarity Work.” Teachers primarily centered their instruction on teaching Portuguese to migrant children, believing it to lead to quicker integration in the classroom and beyond – thus as a way of caring for their migrant students.

Analyses of cultural landscapes need to combine natural and social-cultural components to promote discussions on landscape planning and heritage management. This qualitative research explores the integrated case study of ten municipalities in the “Vineyard Landscape of Piedmont: Langhe-Roero and Monferrato”, Italy, a UNESCO World Heritage cultural landscape. The research aims to raise awareness of its aesthetic-perceptive features, the importance of effective identification of visual impacts and to promote mitigation strategies/actions for updating the current Management Plan.

Two rounds of interviews and focus groups with mayors were performed in 2015 and 2020 to identify trends and drivers of change affecting the territories. Potential mitigation strategies and actions were voted on and selected in response to five critical themes that emerged from the survey, mainly related to real estate and its supplies.

The results suggest tools and policies in the fields of landscape architecture and landscape design that could benefit planning and management at different levels. They support the design of sustainable scenarios, improving mayors' understanding of the significance of cultural landscapes and promoting them as heritage managers. Furthermore, they intend to preserve the authenticity of the landscape by supporting its attributes for long-term conservation.

The research makes an original contribution on the visual implications of anthropogenic landscape transformations in ten municipalities constituting this serial property, six years after its UNESCO nomination (2014).

With the soaring rise in popularity of social media platforms in recent decades, the use of website posts for the expression of work-related views has also increased. Despite websites being extensively used, there has been no examination of the views and concerns expressed by frontline workers through website posts. The present research aims to contribute to the “voice literature” first by evaluating how frontline workers utilize anonymous media platforms to express their views and work-related concerns and, second, by demonstrating how anonymous voice systems can encourage frontline health workers in providing feedback and dissatisfaction.

The study utilizes the thematic analysis method to analyze the content of posts by psychologists on a collaborative consultation website administrated by Israel’s Ministry of Health, discussing their perceptions of work-related concerns.

The analysis identified three work-related themes through the employees' voices. These include insufficient support from management, conflicts and excessive occupational demands. The workers expressed their apprehension with regard to organizational pressures, deficient budget allocations, excessive workloads, lack of recognition and work–life imbalances.

The application of thematic analysis method to anonymous open-public data should be viewed as an effective, affordable, genuine and unique research method for data analysis. Anonymous platforms can generate unique insights that may not be possible through traditional means. This can provide practitioners with a comprehensive understanding of various issues and challenges and be a useful tool for identifying shortcomings within health settings.

The study aims to examine the conceptualization of online abuse (OA) and identifies theories, countries of research, top-cited articles, methodologies, antecedents, mediators, outcomes and moderators of OA and future research opportunities. Two research questions are addressed. How have the past studies on OA progressed regarding theories, context, characteristics and methodology? What future research opportunities can be done in this area?

This study systematically reviews, synthesizes and integrates OA literature using the well-recommended preferred reporting items for systematic reviews and meta-analyses (PRISMA) rules. The literature on OA was synthesized based on the Theory–Context–Characteristics–Methodologies (TCCM) framework given by Paul and Rosado-Serrano.

Through an examination of TCCM used in OA research, the review presents an all-inclusive and up-to-date overview of the research in this arena and sets a future research agenda to spur scholarly research. This systematic literature review has analyzed top-quality sample papers, published in the past decade. As a result, it contributes to a better understanding of this relationship by analyzing the different types of use and the value added to the shopping experience.

This study provides groundwork for researchers and promotes a deeper understanding of OA.

This paper aims to introduce a novel modularity-based framework, Com_Tracker, designed to detect and track community structures in dynamic social networks without recomputing them from scratch at each snapshot. Despite extensive research in this area, existing approaches either require repetitive computations or fail to capture key community behavioral events, both of which limit the ability to generate timely and actionable insights. Efficiently tracking community structures is crucial for real-time decision-making in rapidly evolving networks, while capturing behavioral events is necessary for understanding deeper community dynamics. This study addresses these limitations by proposing a more efficient and adaptive solution. It aims to answer the following questions: How can we efficiently track community structures without recomputation? How can we detect significant community events over time?

Com_Tracker models dynamic social networks as a sequence of snapshots. First, it detects the community structure of the initial snapshot using a static community detection algorithm. Then, for each subsequent time step, Com_Tracker updates the community structure based on the previous snapshot, allowing it to track communities and detect their changes over time. The locus-based adjacency encoding scheme is adopted, and Pearson’s correlation guides the construction of neighboring solutions.

Experiments conducted on various networks demonstrate that Com_Tracker effectively detects community structures and tracks their evolution in dynamic social networks. The results highlight its potential for real-time tracking and provide promising performance outcomes.

Com_Tracker offers valuable insights into community evolution, helping practitioners across fields such as resource management, public security, marketing and public health. By understanding how communities evolve, decision-makers can better allocate resources, enhance targeted strategies and predict future community behaviors, improving overall responsiveness to changes in network dynamics.

Com_Tracker addresses critical gaps in existing research by combining the strengths of modularity maximization with efficient tracking of community changes. Unlike previous methods that either recompute structures or fail to capture behavioral events, Com_Tracker provides an incremental, adaptive framework capable of detecting both community evolution and behavioral changes, enhancing real-world applicability in dynamic environments.