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The purpose of this research is to develop theory, thereby attending to the existing knowledge gap regarding the impact of family firms on entrepreneurial ecosystems (EEs). Reducing such a gap is both timely and relevant given the ubiquity of family firms across the globe and the lack of theoretical development at the intersection of EE and family firm literatures. By employing social capital theory in a propositional theorizing approach, this article presents unique propositions that enrich current understanding of the EE phenomenon.

Our method adopts a three-step propositional theorizing approach. The first step outlines our conceptualization, drawing on social capital theory and identifying multiple levels of analysis pertaining to EEs and family firms. The second step precisely identifies the constructs used for the theorization process, drawing upon relevant literature. The third step involves proposition building, which produces our findings.

As a result of our propositional theorizing method, we developed 10 theoretical propositions to explain interactions between family members, nonfamily entrepreneurs, family firms and new ventures in the EE, thereby focusing on the social elements of the EE and reducing its conceptual complexity while extending the explanatory power of family social capital in the EE.

Despite being increasingly relevant in research, policy and practice discourse, EEs remain under theorized. By theorizing in this context, we provide explanations of the mechanisms to explain social interactions between family members, nonfamily entrepreneurs, family firms and new ventures and how such interactions are likely to provide better access to the untapped resources in the EE. Furthermore, our theorization also identifies underexplored research areas paving the way for future scholars.

This article is relevant to practitioners and policymakers interested in creating balanced, inclusive and effective EE policies and interventions. Our theorization generates insights that complement a bottom-up approach where the state assumes a facilitating role for actors such as family firms to positively impact their EE. This research is both timely and necessary because, if unaddressed, it will lead to ineffective and potentially exclusionary policies and EE interventions.

We contribute to the literature by synthesizing the two domains and thereby advancing knowledge at the intersection of EE and family firm literatures. We strengthen the link between two burgeoning research areas through a propositional theorizing mode of theory development. Under the assumptions of a grand theory, social capital theory, we highlight the benefits that derive from social interactions in the EE between family firms and other EE actors.

Investing in prevention could be of great benefit to public health. Especially for people with health risks, such as overweight, depressive symptoms, low social-economic status or people who experience loneliness or a sedentary lifestyle. In the Netherlands, different parties are responsible for financing and organising selective and indicated preventive interventions: the government, municipalities and health insurance companies. The aim of this study was two-fold: First, to describe the transition towards a sustainable prevention infrastructure. And second, to gain insight into barriers and facilitators associated with intersectoral collaboration regarding organising prevention for high-risk groups.

A longitudinal qualitative study was conducted among collaborative networks working together to build a prevention infrastructure. During a five-year study period, 86 semi-structured interviews were held. The COM-B model was used for data analysis.

Barriers to intersectoral collaboration are: unknown (cost-)effectiveness, limited incentives to invest in collaboration, lack of clarity about responsibilities, differences in priorities and organisational culture between municipalities and health insurers. Facilitators are commitment, trust, sharing knowledge between parties, meeting regularly within the network and acknowledgement of mutual responsibilities. Also, national policy interventions targeted at the development of regional prevention infrastructures facilitated collaboration.

This study shows that collaboration regarding prevention is becoming increasingly common. It can be concluded that the transition towards a sustainable prevention infrastructure has started. The relationship between key stakeholders, like municipalities and health insurers, is generally stronger than it was five years ago. They have a better understanding of each other’s interests and expectations.

This study explores the relationships between corporate board characteristics (CBCs) and corporate social responsibility budget (CSRB) of selected Bangladeshi banks. CSRB was regarded as the sole dependent variable. In contrast, CBCs was separated into three independent constructs: board members' age (BMA), board members’ educational level (BMEL) and the number of board meetings per year (NBMY). A single moderator, corporate reputation (CR), was used to assess the moderating impact on the direct relationships.

Annual reports from 2017 to 2021 (5 years) of 25 selectively listed Bangladeshi banks were used as study samples. Further, the researcher conducted informal interviews with 251 board members of those selected banks using a semi-structured questionnaire. The study used “multiple regression analysis” to evaluate the moderating effects on the three direct relationships and “Pearson's correlation coefficient” to assess the immediate impacts.

After analysis, the results revealed that all the three independent components, BMA, BMEL and NBMY, have substantial positive relationships with the dependent variable, CSRB. Moreover, it was identified that CR can moderate (strengthen) all the three direct relationships. 

Corporate governance (CG) and CSR are two hot topics both in academia and practice. This study highlighted the corporate board characteristics and CSR budget, two new dimensions of CG literature that are required to be paid more attention to. The researcher expects this study to enhance the literature focused on these newer dimensions of CG that might benefit both academics and practitioners.

Entrepreneurship education is widely regarded as a fundamental means of fostering individuals' entrepreneurial intentions. In this paper, we delve into a distinctive empirical context: the integration of entrepreneurship education within Indonesia’s nationwide higher education system since 2010. Our goal is to investigate how prior participation in mandatory entrepreneurship training by company employees influences their inclination to leave their current employment and initiate a new business.

We employed structural equation modeling to analyze empirical data (n = 337) collected from full-time Indonesian employees in established companies.

Our findings indicate that previous engagement in entrepreneurship education predicts employees' entrepreneurial intentions, leading to reduced commitment to their current careers and an increased likelihood of having intentions to pursue new ventures. By comparing two groups of participants, our results suggest that government-mandated entrepreneurship education in Indonesia has a more substantial impact on employees' entrepreneurial intentions and turnover intentions.

This study, based on a unique sample from Indonesia, explores the entrepreneurial entry of organizational employees and the long-term effects of entrepreneurship education.

The overall quality of education may be compromised due to the limited availability of safety and security (S&S) courses in professional teacher education. The purpose of this paper is to identify the main safety-related training needs of a higher education institution, which may provide insights for improving the quality of education from a safety perspective.

This study included 17 interviews with students and staff experienced in S&S due to their professions. The study also used Laurea University of Applied Sciences’ (Laurea) S&S reports, which have a variety of S&S events from 28 October 2020 to 20 December 2021. Both data sets were analyzed using qualitative theory-driven content analysis.

Safety risks at schools are mainly constructed through the negative psychosocial atmosphere and lack of safety knowledge and/or skills. There is a need for safety training covering key topics such as crime prevention, violence, fire safety and understanding inclusion and diversity.

The study proposes a new risk-based training and development management model for school management and the planning of training activities.

The analysis offers valuable perceptions of the S&S challenges of educational institutions, which can be used as a starting point to enhance overall educational quality and safety.

This paper provides a novel way of improving the safety of education by approaching training needs from a risk assessment perspective.

Social networks (SNs) play a significant role as environments supporting teacher professional development. The purpose of this to analyze the motivation and participation roles that Spanish teachers have when participating in SNs for their professional development in three professional stages: preservice teachers, beginning teachers and experienced teachers.

The study uses a mixed-method approach, combining two validated surveys, one applied to 217 preservice teachers and other to 68 beginning teachers and 384 experienced teachers, with 15 interviews. A qualitative exploratory sequential strategy has been followed along with an ex post facto quantitative survey-type study of a descriptive and inferential nature.

Preservice and beginning teachers use SNs to access materials and resources with which to learn, presenting an observer and passive role in their interaction on SNs. Experienced teachers log in to learn about experiences but begin to participate more actively in SNs for searching for specific resources, establishing contacts with other teachers, contributing with their own educational materials and helping other teachers with their doubts or even forming their own communities.

These findings help understand how the evolution in teacher expertise accompanies the level of involvement in their social network interactions. The results allow us to better understand how different levels of teaching experience influence the way Spanish teachers access and participate in SNs, in some cases consuming and in others producing digital content.

The COVID-19 pandemic has compelled higher education institutions (HEI) in the United Arab Emirates (UAE) and globally to shift to a new pedagogy that is sustainable and resilient to crises and disruptions. It necessitated the integration of technologies as part of pedagogical innovation and modification of higher education practices – advancing toward a more holistic integration of physical and digital tools and methods to enable more flexible, creative, collaborative and participatory learning. In terms of pedagogy, an open approach to learning is essential, combining in-person teaching with technological tools and online learning.

This paper examines theoretical and empirical literature to define the potential benefits of utilizing open educational practices (OEP) in higher education, including better access, furthering equity and enhancing teaching, learning and assessment.

It proposes a comprehensive framework built on a continuum of open pedagogy (OP) that comprises “Emphasis”, “Essentials” and “Evolution”. Based on this framework, a set of recommendations for using OEP for successful knowledge building is provided.

The research determined the significance of increased OEP involvement for sustainable learning possibilities and the UAE’s initiatives in developing educators to support innovative pedagogies and technology-enabled teaching-learning standards. The study suggests placing more emphasis on faculty and student scaffolding while using OP for better learning experiences and outcomes, as well as more institutional support and the need for policy development to transform the UAE into a global hub for sustainable education.

Digital technology's integration into education has transformed learning frameworks, necessitating the exploration of factors influencing students’ engagement in digital informal settings. This study, grounded in self-determination theory (SDT), proposes a model comprising artificial intelligence (AI) competence, chatbot usage, perceived autonomy (PA), digital informal learning (DIL) and students’ engagement.

The study collected survey data from 409 participants at Saudi Arabian universities, ultimately using 387 valid responses for analysis. This dataset was subjected to a thorough examination to confirm the validity of our proposed model. To decipher the complex interactions within our model, we utilized partial least squares structural equation modeling (PLS-SEM). The study adopted a disjoint two-stage method to formulate a reflective-formative higher-order construct (HOC).

The study's findings showed that cognitive learning (CL), metacognitive learning (MCL) and social and motivational learning (SML) are the essential components of DIL. Significantly, the study determined that AI competence, chatbot usage, PA and DIL markedly affect students’ engagement. Moreover, the R² value of 0.592 for student engagement indicates the model's robustness in explaining 59.2% of the variance, highlighting its effectiveness in identifying key drivers of student engagement in DIL contexts.

This research enhances understanding by detailing the intricate relationships among AI competence, chatbot usage, and students’ engagement in informal digital learning. It extends SDT to emphasize intrinsic motivations and AI capabilities, introducing reflective-formative HOCs for comprehending educational intricacies. It provides practical strategies for enhancing AI abilities and chatbot use in education, promoting personalized, engaging and autonomous digital learning spaces, thereby advancing educational theory and practice.

Export market orientation can be broadly divided into intelligence (generation and dissemination) and responsiveness activities. Although previous studies assess intelligence and responsiveness activities, little is known about what type of international channel partner acts as an enabling condition for the impact of these activities on export venture performance. This study aims to examine the extent to which the selection of international channel partners through word-of-mouth referrals versus direct contacts affects the benefits of intelligence and responsiveness activities.

Data were collected from 246 exporting manufacturers in Japan. To test the hypotheses, we conducted regression analyses using a subjective performance measure at the venture level. We also performed a post hoc analysis using objective performance measure at the function level.

We find that the extent to which international channel partners are selected through word-of-mouth referrals has a moderating role in the export market-oriented activities–performance linkages. Specifically, it acts as an enabling condition for intelligence activity and a disenabling condition for responsiveness activity.

This study contributes to a better understanding of export market orientation by classifying it into intelligence and responsiveness activities and providing empirical evidence on their different interaction effects with partner selection. It also contributes to the elaboration of agency theory by offering insights into the fit between task characteristics and contract type. Our study is critical for business managers as it suggests guidelines for manufacturing exporters engaging in export market-oriented behaviors and export channel management.

This article delves into the antecedents of business performance. The main aim of this study is to analyze the effect of knowledge transformation on business performance in firms in the tourism industry and how cognitive and structural social capital heterogeneously moderate this relationship.

The empirical study was conducted on a sample of 300 firms from the tourism industry in Arequipa-Perú. The analysis was performed by means of partial least squares structural equation modeling, using the Smart PLS software.

Our findings show that knowledge transformation is key factor for increasing business performance. The results also highlight the significance of interorganizational relationships in this effect and the importance of analyzing each dimension of social capital separately. Thus, it is observed that cognitive social capital enhances the relationship between knowledge transformation and business performance, while (Sari and Indriani, 2023) structural social capital hinders it.

The findings assist practitioners in developing a shared culture, values and goals with their contacts to improve business performance. Furthermore, firms should establish bridging ties with external agents to avoid be stuck in excessively dense networks. Relationships with institutions can act as a bridging agent.

This paper analyses the unresolved question of how knowledge transformation affects the business performance of companies in the tourism sector as well as how different dimensions of social capital influence in this relationship. Addressing these two critical, but as yet unresolved questions, this study draws on absorptive capacity and social capital theories as an overarching framework to present a conceptual model that integrates both theories in order to analyze the effect of knowledge transformation on business performance in tourism firms and the role of structural and cognitive capital on this relationship.