Saoirse Nic Gabhainn, Jane Sixsmith, Ellen‐Nora Delaney, Miriam Moore, Jo Inchley and Siobhan O'Higgins
The purpose of this paper is to outline a three‐stage process for engaging with students to develop school level indicators of health; in sequential class groups students first…
Abstract
Purpose
The purpose of this paper is to outline a three‐stage process for engaging with students to develop school level indicators of health; in sequential class groups students first generated, then categorised indicators and finally developed schematic representations of their analyses. There is a political and practical need to develop appropriate indicators for health‐promoting schools. As key stakeholders in education, students have the right to be fully engaged in this process.
Design/methodology/approach
The sample in this paper comprised 164 students aged 16‐17 years in three medium‐sized Dublin schools. In the first classroom, students answered the question “If you moved to a new school, what would it need to have to be a healthy place?” on individual flashcards. In the second classroom students classified the flashcards into groups using a variation of the card game “snap”. In the third classroom, students discussed the relationships between the developed categories and determined how the categories should be presented. These procedures were repeated twice in three schools, resulting in six developed schemata.
Findings
The paper finds that the six sets of categories showed remarkable similarity – physical aspects of the school predominated but emotional and social health issues also emerged as potential indicators. The schema demonstrated the holistic perspectives of students. They illustrate the importance of relationships and the physical and psycho‐social environment within schools.
Originality/value
The paper illustrates that students can productively engage in the process of indicator development and have the potential to act as full stakeholders in health‐promoting schools. The methods enabled student control over the data generation, analysis and presentation phases of the research, and provided a positive, fun experience for both students and researchers.
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David Ludwig and Jona van Laak
Innovation is key. It improves a nations’ standing in international competition and in-creases the productivity of the workforce – a significant aspect in aging societies with a…
Abstract
Purpose
Innovation is key. It improves a nations’ standing in international competition and in-creases the productivity of the workforce – a significant aspect in aging societies with a declining entrepreneurial activity. But how can innovation be fostered? This paper argues that entrepreneurial culture is an underestimated solution to this difficult challenge. It therefore differs from common models in which other measures such as financial capital or networks play a predominant role and thus mask the influence of entrepreneurial culture on innovation in entrepreneurial ecosystems.
Design/methodology/approach
Using a qualitative literature analysis, the paper links various interdisciplinary touch points to the entrepreneurial ecosystem – including the individual-focused cognitive aspects of entrepreneurs, the social and spatial communities and the ecosystem as a service model.
Findings
The framework is conceptualized as a multi-layer model, enabling a discussion of policy measures in socioeconomic spaces with a short- and long-term perspective. It dispenses artificial assumptions and considers the complexity of human behavior as a strong and reciprocal driver of entrepreneurial culture.
Practical implications
With this framework, the paper tends to qualify policy makers and researchers in a de-tailed manner, when it comes to the formulation and application of culture-focused innovation policies.
Originality/value
The paper enriches the existing research with a new perspective on the relation between entrepreneurial culture and entrepreneurial ecosystems, which especially emphasizes the entrepreneurs experienced reality and its multi-level embeddedness.
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The purpose of this paper is to examine what counts as knowledge in the organization/management field.
Abstract
Purpose
The purpose of this paper is to examine what counts as knowledge in the organization/management field.
Design/methodology/approach
Conventional, legitimated knowledge is analyzed through research into representations of an influential management text. Management and management accounting textbooks and research papers are investigated to establish the types of knowledge produced.
Findings
Mainstream representations of this book are partial, focusing on a “model” of what is likely to ensure successful organizational change – structural and systemic adaptations. What has been ignored is the problematization of structural change and the role of human agency. The foci and omissions of these representations cohere with divisions in the social sciences more generally – between “objectivist” and “subjectivist” ontologies and epistemologies.
Research limitations/implications
There is a need for further research into representations of texts about organizational change, the way the objectivist/subjectivist divide is played out, and its significance for organization/management studies and more widely for the social sciences.
Practical implications
Questions arise as to the validity and sustainability of such knowledge. Omissions about the difficulties in implementing structural change raise epistemological and practical difficulties for students, managers and consultants.
Social implications
Omissions of human subjectivities and agency from mainstream knowledge is problematic regarding successful organizational change and social issues more widely.
Originality/value
The paper's value lies in the in‐depth analysis of representations of a text in the organization/management area and the linking of the type of knowledge produced with broader epistemological and methodological issues in the social sciences.
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Dana L. Ott, Miriam Moeller and Alexei Koveshnikov
The purpose of this viewpoint is to provide critical insights into the role of neurodiversity within the domain of International Business (IB) research. Neurodiversity is…
Abstract
Purpose
The purpose of this viewpoint is to provide critical insights into the role of neurodiversity within the domain of International Business (IB) research. Neurodiversity is positioned as an opportunity for IB researchers to explore how differences in individual brain functioning and behavioral traits may impact on the practice of and research within IB through multiple lenses.
Design/methodology/approach
By critically reflecting on how to foster a more inclusive global business environment, the viewpoint increases researchers’ awareness about the role of neurodiversity within IB research and practice. It highlights distinct opportunities to incorporate neurodiversity and neurodivergent individuals at the center of IB research examinations.
Findings
Neurodiversity represents a paradigm shift in how neurological and cognitive differences have been perceived, valued and researched by challenging scholars to move beyond a model that views these differences as deficits or disorders to one that views them as strengths and opportunities. The authors identify a series of research questions to advance the study of neurodiversity in relation to global talent management; innovation and competitiveness; inclusive and equitable business practices and systems (human resource management, leadership and technology); stigmatization, biases and identity; and global organizations as change agents.
Originality/value
Considering that one in six people globally is neurodivergent, the viewpoint suggests directions to examine neurodiversity within the context of IB research and practice.
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Sharon Lindhorst Everhardt, Brenda I. Gill, Jonathan Cellon and Christopher Bradley
School-aged children living in Montgomery and Troy located in Central Alabama are particularly vulnerable to food insecurity. This study used a one-group pre-test–post-test…
Abstract
School-aged children living in Montgomery and Troy located in Central Alabama are particularly vulnerable to food insecurity. This study used a one-group pre-test–post-test research design to investigate if gardening and nutritional activities could be used as effective intervention to reduce levels of food insecurity among school-aged children. Statistical results found that several of the participants live in urban food deserts. Food insecurity scores were higher for participants in Montgomery compared to those in Troy, AL. The relationship between parental income, household size, and location were important indicators for measuring food insecurity among participants. Recommendations for future research include expanding the scope of study to different sites and climates with larger samples to enhance our understanding of gardening and nutritional educational activities on food insecurity among school-aged children.
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Miriam Sosa, Edgar Ortiz and Alejandra Cabello
One important characteristic of cryptocurrencies has been their high and erratic volatility. To represent this complicated behavior, recent studies have emphasized the use of…
Abstract
One important characteristic of cryptocurrencies has been their high and erratic volatility. To represent this complicated behavior, recent studies have emphasized the use of autoregressive models frequently concluding that generalized autoregressive conditional heteroskedasticity (GARCH) models are the most adequate to overcome the limitations of conventional standard deviation estimates. Some studies have expanded this approach including jumps into the modeling. Following this line of research, and extending previous research, our study analyzes the volatility of Bitcoin employing and comparing some symmetric and asymmetric GARCH model extensions (threshold ARCH (TARCH), exponential GARCH (EGARCH), asymmetric power ARCH (APARCH), component GARCH (CGARCH), and asymmetric component GARCH (ACGARCH)), under two distributions (normal and generalized error). Additionally, because linear GARCH models can produce biased results if the series exhibit structural changes, once the conditional volatility has been modeled, we identify the best fitting GARCH model applying a Markov switching model to test whether Bitcoin volatility evolves according to two different regimes: high volatility and low volatility. The period of study includes daily series from July 16, 2010 (the earliest date available) to January 24, 2019. Findings reveal that EGARCH model under generalized error distribution provides the best fit to model Bitcoin conditional volatility. According to the Markov switching autoregressive (MS-AR) Bitcoin’s conditional volatility displays two regimes: high volatility and low volatility.