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This paper aims to illustrate, by means of a content analysis of 278 weekly School Meeting minutes, the ways in which student voice is actualized in one democratic free school in Germany.

This paper uses a qualitative content analysis methodology of 278 weekly School Meetings minutes.

This paper uses Fielding’s (2012) patterns of partnership typology to illustrate what counts as student voice and participation in a democratic free school.

Limitations included being reliant on translations of German texts, some missing minutes from the entire set, the lack of a single author for the minutes (and thus degree of detail differs) and the fact that the School Meeting minutes make reference to other meetings for various sub-committees for which no minutes exist, and thus, findings on the degree of student voice may be limited. And because this is a study of one school, generalizability may be difficult. Future research into these sub-committee meetings would prove helpful as well as content analyses of other democratic free schools’ meeting minutes.

This study can help people more deeply understand what goes on in democratic free schools and what student voice and participation can mean within this context.

This study aims to determine how the communication of a family business identity in a recruitment call influences, directly and indirectly, the response of jobseekers, and whether this response varies according to the level of proactiveness and innovative of the applicants.

An experimental design using job advertisements on a LinkedIn recruitment call in Peru and Chile was implemented. The experiment simulates a job offer for a professional that could be filled by a business graduate student. The sample consisted of 171 surveys applied to university students in full-time higher education programs.

The results indicate that there is a positive indirect influence of family business signaling on the intention to pursue (through perceived prestige and career development opportunity). However, signaling family ownership of a company has a negative direct influence on jobseekers’ intentions to go to the recruitment call. When it comes to jobseekers with high and low levels of innovativeness and proactiveness, the results suggest that family business identity signaling is less effective among jobseekers with higher levels of proactiveness and innovativeness.

This article contributes to the theory of the family firm by advancing the understanding of the challenges that family businesses face when attracting talent. Our results enable family businesses to strategically adapt their hiring processes to enhance their appeal in the competitive labor market.

El objetivo es determinar cómo la comunicación de la identidad de una empresa familiar en una convocatoria de reclutamiento influye directa e indirectamente, en la respuesta de los solicitantes de empleo, y si esta respuesta varía según el nivel de proactividad e innovación de los solicitantes.

Se implementó un diseño experimental utilizando anuncios de trabajo en una convocatoria de reclutamiento en LinkedIn en Perú y Chile. El experimento simula una oferta de trabajo para un profesional que podría ser cubierta por un estudiante graduado en negocios. La muestra consistió en 171 encuestas aplicadas a estudiantes universitarios en programas de educación superior a tiempo completo.

Los resultados indican que hay una influencia indirecta positiva de la señalización de empresas familiares en la intención de postular (a través del prestigio percibido y la oportunidad de desarrollo profesional). Sin embargo, señalar la propiedad familiar de una empresa tiene una influencia directa negativa en las intenciones de los buscadores de empleo de acudir a la convocatoria de reclutamiento. En cuanto a los buscadores de empleo con niveles altos y bajos de innovación y proactividad, los resultados sugieren que la señalización de la identidad de la empresa familiar es menos efectiva entre los buscadores de empleo con niveles más altos de proactividad e innovación.

Este artículo contribuye a la teoría de la empresa familiar al avanzar en la comprensión de los desafíos que enfrentan las empresas familiares al atraer talento. Nuestros resultados permiten a las empresas familiares adaptar estratégicamente sus procesos de contratación para mejorar su atractivo en el mercado laboral competitivo.

This study aims to provide a thorough bibliometric analysis to illuminate the complex entrepreneurial environment in renewable energy.

The Biblioshiny package of the R programming language was considered for in-depth analysis of the papers. To determine the future course of research, the authors use SciVal data and prominence percentiles related to particular study areas.

The findings show a growing interest in renewable energy entrepreneurship, as seen by rising annual production and citation rates. By revealing the interconnection of themes throughout the subject, keyword co-occurrence patterns illustrate its interdisciplinary nature. Sustainable development goal alignment highlights the field’s critical role in tackling global sustainability issues. This analysis gives researchers, decision-makers and practitioners a framework for navigating the terrain of renewable energy entrepreneurship.

Practical advice for promoting innovation and sustainability in the renewable energy sector is provided through insights into interdisciplinary intersections and sustainability alignment.

This paper adds to the body of literature by providing a comprehensive analysis of renewable energy entrepreneurship and highlighting how it affects sustainability. Including SciVal data with prominence percentiles suggests future research avenues and highlights the field’s originality and importance.

The paper presents the findings of a study assessing the progress of implementing the European Green Deal (EGD) strategy goals across the EU-27 countries. The research aimed to evaluate individual countries' implementation of the strategy, considering its multidimensional nature.

A research methodology was devised, incorporating 18 indicators that characterize various dimensions pertinent to the EGD strategy. Evaluation of the strategy’s goals relied on the European Green Deal Index (EGDI), determined using the combined compromise solution (CoCoSo) method and a hybrid approach to weigh the indicators. Three analytical methods – criteria importance through intercriteria correlation (CRITIC), statistical variance, equal weights – and the Laplace criterion were utilized to ascertain the final weights of these indicators. The EGDI values for the years under scrutiny (2019–2021) served as the basis for assessing the EU-27 countries' progress towards the goals of the EGD.

The survey results indicate that from 2019 to 2021, the highest EGDI values – exceeding 2 – were achieved by Sweden, Denmark and the Netherlands. Austria also recorded very strong results. In contrast, the “new EU-13” countries generally exhibited lower levels of implementation of the EGD, as reflected in their EGDI values. Bulgaria and Cyprus, in particular, had the weakest results over the study period, with EGDI values below 1.5. Consequently, the “old EU-14” countries performed significantly better in implementing the EGD compared to the “new EU-13” countries. Among the “old EU-14” countries, Ireland recorded the weakest performance.

The originality of the research is highlighted by several key factors. Firstly, it addresses a significant research gap by assessing the initial positions and efforts of EU countries toward the EGD goals, providing a benchmark for effectiveness and strategy development. Secondly, it pioneers an authoritative and universal multi-criteria evaluation approach through the Green Deal Index (GDI), offering a robust methodology for assessing EGD implementation. Lastly, the study’s holistic approach incorporates energy, environmental and socioeconomic dimensions, significantly expanding knowledge and contributing to informed decision-making and policy formulation.

The transition from fossil fuel-based energy systems to renewable energy sources, commonly referred to as the energy transition, is essential for combating climate change. However, comprehensive studies that thoroughly examine the financial mechanisms involved in this process are lacking. Despite the availability of various financial tools, there is a notable absence of extensive research that synthesizes and categorizes these mechanisms into broad groups.

A systematic literature review is used to explore a comprehensive framework for financial mechanisms related to the energy transition and their application across six stages of the process.

The framework of financial mechanisms for energy transition encompasses these six factors: public financing mechanisms, private financing mechanisms, market-based mechanisms, innovative financing mechanisms, risk mitigation instruments and institutional support and capacity building.

This is the first study that thoroughly reviewed the financial mechanisms involved in the energy transition process.

This study aims to identify sustainability indicators in the energy sector through a literature review and validate them from the perspective and context of professionals working in the sector in an emerging economy country, Brazil, considering the relationship of these indicators with the achievement of the targets set by the United Nations sustainable development goals (UN SDGs).

To accomplish this, a literature review on sustainability indicators specific to the energy sector was conducted. Subsequently, a research instrument (questionnaire) based on the identified indicators was developed and a survey was administered to professionals in the field. The collected data were analyzed using the Lawshe method.

The results revealed 20 indicators, distributed across environmental, economic and social dimensions. Among these, nine indicators were validated, including global impacts, local impacts, renewable energy production as a percentage of total production, greenhouse gas emissions, access to electricity, investment in the energy sector, installed capacity in the electricity sector, energy prices in the end-use sector and energy distribution and conversion efficiency.

Consequently, it was possible to determine which SDGs are directly impacted and provide a foundation for future actions that can contribute to the sustainable advancement of the energy sector in emerging countries.

The purpose of this paper is to examine patient engagement in remote consultation services, an increasingly important issue facing Healthcare Operations Management (HOM) given the significant expansion in this and other forms of telehealth worldwide over the last decade. We use our analysis of the literature to develop a comprehensive framework that incorporates the patient journey, multidimensionality, antecedents and consequences, interventions and improvement options, as well as the cyclic nature of patient engagement. We also propose measures suitable for empirical assessment of different aspects of our framework.

We undertook a comprehensive review of the extant literature using a systematic review approach. We identified and analysed 63 articles published in peer-reviewed scientific journals between 2003 and 2022.

We conceptualise patient engagement with remote consultation across three key aspects: dimensions, process, and the antecedents and consequences of engagement. We identify nine contextual categories that influence such engagement. We propose several possible metrics for measuring patient engagement during three stages (before service, at/during service and after service) of remote consultation, as well as interventions and possible options for improving patient engagement therein.

The primary contribution of our research is the development of a comprehensive framework for patient engagement in remote consultation that draws on insights from literature in several disciplines. In addition, we have linked the three dimensions of engagement with the clinical process to create a structure for future engagement assessment. Furthermore, we have identified impact factors and outcomes of engagement in remote consultation by understanding which can help to improve levels of adoption, application and satisfaction, and reduce healthcare inequality. Finally, we have adopted a “cyclic” perspective and identified potential interventions that can be combined to further improve patient engagement in remote consultation.

Productivity is often cited as a key barrier to the adoption of metal laser-based powder bed fusion (ML-PBF) technology for mass production. Newer generations of this technology work to overcome this by introducing more lasers or dramatically different processing techniques. Current generation ML-PBF machines are typically not capable of taking on additional hardware to maximise productivity due to inherent design limitations. Thus, any increases to be found in this generation of machines need to be implemented through design or adjusting how the machine currently processes the material. The purpose of this paper is to identify the most beneficial existing methodologies for the optimisation of productivity in existing ML-PBF equipment so that current users have a framework upon which they can improve their processes.

The review method used here is the preferred reporting items for systematic review and meta-analysis (PRISMA). This is complemented by using an artificial intelligence-assisted literature review tool known as Elicit. Scopus, WEEE, Web of Science and Semantic Scholar databases were searched for articles using specific keywords and Boolean operators.

The PRIMSA and Elicit processes resulted in 51 papers that met the criteria. Of these, 24 indicated that by using a design of experiment approach, processing parameters could be created that would increase productivity. The other themes identified include scan strategy (11), surface alteration (11), changing of layer heights (17), artificial neural networks (3) and altering of the material (5). Due to the nature of the studies, quantifying the effect of these themes on productivity was not always possible. However, studies citing altering layer heights and processing parameters indicated the greatest quantifiable increase in productivity with values between 10% and 252% cited. The literature, though not always explicit, depicts several avenues for the improvement of productivity for current-generation ML-PBF machines.

This systematic literature review provides trends and themes that aim to influence and support future research directions for maximising the productivity of the ML-PBF machines.

This paper aims to develop a flexible manufacturing method for multimaterial sand molds to realize efficient additive manufacturing of multimaterial sand molds.

To study the influence of multimaterial sand laying process parameters on the quality of powder bed and optimize the design of multimaterial sand laying device. Numerical simulation and X-ray Computed Tomography are used to study the penetration behavior and curing morphology of resin in different sand particles.

The surface roughness and porosity of the multimaterial powder bed that meet the requirements of sand-based additive manufacturing can be obtained under the optimal printing process, that is, the sanding speed of 140.0 mm/s and sanding roller diameter of 15.0 mm. The resin penetration process of the multimaterial sand molds shows a pattern of transverse expansion and longitudinal penetration. In terms of the resin curing morphology, the maximum thickness of the resin film layer of zircon sand reaches 30.5 ± 1.0 µm, which has the best tensile property, followed by silica sand and the thinnest resin film layer of chromite sand.

In this work, a highly flexible integrated combined sand-laying device suitable for multimaterial sand-laying tests is developed, which can obtain a multimaterial powder bed that meets the needs of sand additive manufacturing. Subsequent casting print tests also verify that the program can meet the needs of multimaterial sand mold additive manufacturing.