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The purpose of this paper is to present insights from the implementation of a dialogic social studies curriculum and its potential to support diverse learners. Policymakers and educators must attend to the learning needs of diverse/minoritized (Note: In this paper, the authors use minoritized and diverse interchangeably) students who have been marginalized in public education. A critical goal is to close racial, ethnic and socioeconomic achievement gaps by increasing, for example, students’ engagement with curriculum and instruction. In this paper, the authors bridge research on dialogic instruction and culturally relevant and responsive education with the goal of informing curricular design and instructional practice.

This conceptual paper discusses the utility of dialogic instruction in improving learning outcomes for minoritized student populations. While some researchers have examined the positive effects of dialogic instruction on underperforming students (e.g. Murphy et al., 2009; Pillinger and Vardy, 2022), few scholars have examined dialogic instruction through a culturally relevant and responsive lens. The authors argue that the application of this critical lens may improve learning outcomes for diverse learners who have been marginalized in public education systems.

The authors present illustrative vignettes and insights from a pilot study of a novel social studies curriculum. This curriculum applies a social justice lens by guiding students in the exploration of complex social issues that affect them. Given the diversity of their collaborating teachers’ classrooms (55% are racially minoritized students), the authors applied principles of culturally relevant and responsive education (e.g. Ford, 2010; Gay, 2000; Ladson-Billings, 1995) when designing and piloting the curriculum. Prior personal and professional experiences by the first author point to the potential of dialogic instruction to meaningfully support minoritized students’ learning.

This paper builds on two bodies of literature – dialogic instruction and culturally relevant and responsive education – to identify how an innovative social studies curriculum may improve learning for diverse student populations. It calls for the advancement of a research agenda that applies a culturally relevant and responsive lens to inform instructional practice. The authors begin this discussion with two vignettes.

The purpose of this paper is to analyse the structure of knowledge networks and the geographical patterns of knowledge networking in mature industrial clusters. To such end, it is assumed that proximity is not really what matters in innovation, but rather the embeddedness of firms into localised networks, enhancing collective learning and knowledge diffusion.

The research is contextualized in the footwear industry and applies the microeconomics of innovation (grounded in the resource based view and social capital approach) and industrial clusters/districts as theoretical frameworks. Methodologically, the paper adopts an exploratory perspective and employs a qualitative approach to conduct a cross‐case analysis of the Leon‐Guanajuato cluster (Mexico) and the Vinalopo cluster (Spain).

Firstly, this paper endorses recent research trends suggesting that knowledge is unevenly and selectively distributed among clustered firms. Secondly, it evidences how internal resources determine a firm's access to valuable repositories of knowledge. Thirdly, key knowledge players are usually involved in extra‐clusters networking, indicating that mere reliance on localized knowledge may result in declining trajectories.

Because the case study approach and qualitative methodologies are used, readers are advised not to generalize the findings. The research on the subject matter is offered as a means to substantiate or refute the latest research premises, and provide evidence on the selected clusters.

This paper shows how knowledge networks differ depending on geographical specific characteristics and the resources of the main players. Managers‐owners should be conscious that being close to one another is not enough. It should be combined with both solid internal resources and access to repositories of knowledge outside the cluster. Policy makers should prepare customized public programs based on the particular structure of each cluster.

The relevance of entrepreneurship in the economic systems of the regions is well documented. Recently, a new concept has emerged in the entrepreneurship literature, entrepreneurial ecosystem (EE), to analyze the dynamics of a given territory and its outputs and impact upon entrepreneurship. Moreover, it is also well documented the close relationship between entrepreneurship and family business (FB). Keeping in mind the multidimensionality of the latter, its scholars are beginning to look into the entrepreneurial elements embedded in the family processes and the influence of context.

After an extensive literature review made, a significant gap was found, given the historical relevance that FB (SMEs the vast majority) have in the global economic systems. A FB entrepreneurial ecosystem (FBEE) model is proposed based on the data collected from two case studies, on Portugal's wine industry, and Mexico's shoe industry, both artisan industries confronted with the urge to reinvent and adapt to face deep market and industry changes.

The results should indicate the feasibility of proposing a second level on the theory of EE, the FBEE, where both the family and business itself ultimately play a vital role in its success and impact the whole system.

The purpose of this paper is to describe and interpret the atypical case of Uruguay related to quality assurance, evaluation and accreditation of Higher Education in Uruguay.

To do so, a Higher Education conceptual framework is developed, focusing on quality assurance and formulating some “hypotheses” (conjectural ways of thinking within a qualitative tradition). The method to collect data includes the use of document observation, secondary information from official databases and interviews with an intentional sample of 10 experts and key informants. The analysis is developed through some conceptual dimensions emerging from the precedent sources (public policy and the role of the state, changes in the system of science, technology and innovation linked to Higher Education, the influence of the regional integration process and the weak public demand for quality assurance).

The paper also presents and discusses the atypical country’s experience regarding the lack of a national quality assurance policy and the structural dynamic of delaying main transformations by adopting graduate changes.

The study analyzes the recent process of Higher Education policies oriented to quality assurance in the two decades and a half between 1996 and 2021, focusing especially on the recent years (2019–2020).

The findings indicate that the Higher Education system needs to update its structure and shape, withdrawing fragmentation and consolidating a national system able to promote quality. The paper offers some inputs to strategic planning and debate.

Reforming Higher Education is key to change the social logic of High School, which still operates as a social selective mechanism, mainly oriented to the professional application rather than to knowledge production or management.

The paper contributes to the political and academic debate through some conceptual categories emerging from the study. The previous description of academic literature about Uruguay Higher Education quality assurance (QA) did not include either the new situation created by the approval of contradictory laws or the interpretation of this public policy arranged as a “structural dynamic of delay of the main transformations by adopting graduate and incremental changes”. Whether any originality could be found in the paper, it would be this way of interpreting the process of QA in Uruguay.

This study aims to contribute to the existing literature by presenting new knowledge about sustainable development goals’ (SDGs) reporting practices through integrated reporting (IR). This paper’s ultimate goal is to dig to light companies’ main approaches to incorporating SDG disclosures into IRs.

This study puts forward both deductive content analysis and an inductive thematic analysis on a sample of worldwide leading IR adopters to assess what SDGs they disclose and how they integrate SDGs into the reports. Meaningful narratives and graphical illustrations are selected, categorised and discussed from a symbolic/substantive legitimacy perspective.

The results of this study highlighted that although a fair number of leading IR adopters addressed SDG issues, their pathways to disclosure were not uniform. In some cases, SDGs inspired substantive changes to internal management and process, communicated through an integrated approach. However, there was a persistent trend of using SDGs as camouflage and symbolic tool to enhance company’s reputation and obtain a licence to operate.

To the best of the authors’ knowledge, this was the first study that performed a deductive/inductive thematic analysis to engender insight into the most meaningful patterns followed by leading IR reporters worldwide to disclose their contributions to SDGs and address their legitimacy.

Resistance is expected to emerge with the implementation and use of new technologies in production systems. This work focuses on identifying sources of resistance to the use of Industry 4.0 technologies when managing production disturbances and suitable managerial approaches to deal with them.

A qualitative approach was chosen in this research. The authors conducted a literature review and a series of interviews. Thirty-one papers from the literature review were analysed, and 16 people from five different companies were interviewed.

The authors identified five different sources of resistance and three managerial approaches to dealing with them. The sources of resistance were based on (1) feelings of over-supervision, (2) unclear values, (3) feelings of inadequacy, (4) concerns about loss of power and jobs and (5) work overload. The three approaches to dealing with resistance are (1) communication, (2) participation and (3) training.

This work identifies the sources and strategies to deal with resistance to the use of Industry 4.0 technologies in the management of production disturbances. The managerial literature in this area is limited, and to the authors's knowledge, the specific sources for resistance and strategies to deal with that in this topic have not been systematically investigated before.

The main goal of this paper is to study the influence of some corporate governance, corporate social responsibility (CSR), and corporate-specific characteristics on the performance of Iberian-listed companies.

To achieve the paper's aim, the authors have used data from 33 Portuguese-listed companies, and 60 Spanish-listed companies, for the period 2011 to 2018. To test the hypotheses, the authors employed the generalized method of moments (GMM) estimation method, developed by Arellano and Bover (1995) and Blundell and Bond (1998).

The results point out that the performance determinants vary depending on the country under analysis and the variable used to measure performance. Despite being neighbors and historically commercially close, these countries have differences in their governmental, social and economic structure that lead to different stakeholder perceptions on the determinants of corporate performance. Specifically, when the authors use Tobin's Q as a market performance variable, board independence and the existence of a CSR committee have different signs in the two countries. The same happens when return on assets (ROA) is used as an accounting variable for internal management, implying that both, managers and potential investors of the two countries have different understandings about the variables that influence their performance.

To the best of the authors' knowledge, this is the first study to comparatively analyze the two countries of the Iberian Peninsula, analyzing the effect of corporate governance and social responsibility characteristics on the performance. The authors' results show that managers and potential investors have different points of view regarding the importance of corporate governance and social responsibility characteristics in corporate performance.

This research sought to propose a theoretical model that analyzes the factors associated with unlearning (individual and organizational) and contributes to generating and realizing ideas among young people at the beginning of their careers based on the predominant type of structure.

The study had a sample (n = 971) and used the multivariate data analysis partial least squares - Structural Equation Modeling (PLS-SEM regular) and multigroup analysis (PLS-MGA) to identify significant differences between the estimates of the specific parameters of each group (a- Organic/b- Mechanistic).

All the direct relationships and formulated mediations were found to be supported, except for H6 (ET→EO) within the group that had a primarily mechanistic organizational structure. Thus, the more turbulent the environmental, the more initiative-taking, innovative and risk-taking a company tends to be. However, it remains to be seen whether the organizational structure plays a role in facilitating or hindering this relationship. H1 (IG→IR) indicates that predominantly organic organizations have a stronger and more consistent relationship with the knowledge developed through individual and organizational unlearning process. This knowledge contributes to the idea-generation process and ultimately leads to realizing those ideas.

The article contributes to literature by proposing an original and integrated theoretical model incorporating individual and organizational approaches to unlearning to understand the effect on idea generation and realization.

Most studies on Sentiment Analysis are performed in English. However, as the third most spoken language on the Internet, Sentiment Analysis for Spanish presents its challenges from a semantic and syntactic point of view. This review presents a scope of the recent advances in this area.

A systematic literature review on Sentiment Analysis for the Spanish language was conducted on recognized databases by the research community.

Results show classification systems through three different approaches: Lexicon based, Machine Learning based and hybrid approaches. Additionally, different linguistic resources as Lexicon or corpus explicitly developed for the Spanish language were found.

This study provides academics and professionals, a review of advances in Sentiment Analysis for the Spanish language. Most reviews on Sentiment Analysis are for English, and other languages such as Chinese or Arabic, but no updated reviews were found for Spanish.