Search results
1 – 4 of 4Gabrijela Popovic, Aleksandra Fedajev, Petar Mitic and Ieva Meidute-Kavaliauskiene
This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain…
Abstract
Purpose
This study aims to integrate the resource-based view (RBV) with other theories that consider external factors necessary to respond successfully to dynamic and uncertain entrepreneurial business conditions.
Design/methodology/approach
The paper introduces an multi-criteria decision-making (MCDM) approach, utilizing the axial-distance-based aggregated measurement (ADAM) method with weights determined by the preference selection index (PSI) method, to rank eight European countries based on the Global Entrepreneurship Monitor (GEM) data. Additionally, the paper extends the existing entrepreneurial ecosystem taxonomy (EET), offering an additional classification.
Findings
The performed analysis emphasizes the importance and necessity of involving different dimensions of EE in assessing the countries' entrepreneurship performance, which facilitates creating adequate policy measures.
Research limitations/implications
The crucial limitations are assessments based only on the GEM data from a particular period, possibly leading to a certain bias. Future research should involve data from various resources to increase the results' reliability.
Originality/value
The ranking results and country classification obtained using the ADAM-based approach and two distinct taxonomies served as the basis for formulating tailored policy recommendations, aiming to formulate tailored policy implications for increasing the number of new entrepreneurs and improving innovativeness, sustainability and internationalization of existing entrepreneurs for each group of countries.
Details
Keywords
This paper aims to address weight-based bullying as a persistent issue among adolescents. Fat phobia, rooted in societal biases against overweight individuals, leads to social…
Abstract
Purpose
This paper aims to address weight-based bullying as a persistent issue among adolescents. Fat phobia, rooted in societal biases against overweight individuals, leads to social exclusion and discrimination, negatively impacting mental health and equality. Educational settings suffer from the profound effects of fat phobia, creating a toxic atmosphere that distracts from learning and marginalizes students who don't conform to traditional physical norms.
Design/methodology/approach
This paper combines historical analysis, literature review and critical discourse analysis. It examines the historical roots of fat phobia, explores the impact of societal influences, analyzes contemporary educational practices and the use of popular culture as a innovative tool.
Findings
Leveraging popular culture in anti-fat phobia education effectively challenges stereotypes. Educators empower students to critically analyze media depictions, encouraging empathy and inclusivity. Current events serve as critical teaching tools, sparking discussions on intersecting discrimination forms and equity.
Practical implications
This paper emphasizes the urgent need to comprehensively address fat phobia in education, advocating for a shift in societal attitudes toward body diversity. Popular culture can serve as an educational tool to create inclusive classrooms where all students are valued and free from weight-based discrimination.
Social implications
This paper emphasizes the urgent need to comprehensively address fat phobia in education, advocating for a shift in societal attitudes toward body diversity. Popular culture can serve as an educational tool to create inclusive classrooms where all students are valued and free from weight-based discrimination.
Originality/value
The originality and value of this paper lie in its multi-faceted approach to examining weight-based discrimination, its historical context, practical educational strategies, and the innovative use of popular culture as a tool for promoting inclusivity and empathy.
Details
Keywords
The experiences and challenges encountered by Travellers especially in education is something that I am truly passionate about and want to give others a better insight into. Irish…
Abstract
The experiences and challenges encountered by Travellers especially in education is something that I am truly passionate about and want to give others a better insight into. Irish Travellers are defined by the Irish Traveller Movement as a historically recognised minority within Irish society. The group is distinct because of a strong history of sharing an identity, a language and a set of values (Irish Traveller Movement, 2019). In Ireland, there are approximately 31,000 Travellers (Central Statistics Office, 2023). Irish Travellers are a minority ethnic group that experiences discrimination and marginalisation in society (Boyle et al., 2020). According to a large body of evidence, Travellers stand out as a population that is disproportionately disadvantaged in terms of work, housing, health and education (Baker, 2021). One aspect of Irish Travellers' inequality is their educational disadvantage. The hope is for this chapter to make others more knowledgeable on these types of areas so that it can lead to more positive outcomes for Travellers.
Details
Keywords
Ye Bai, Xinlong Li and Hongye Sun
In online purchase for dietary supplements, due to the lack of professional advice from pharmacists, electronic word-of-mouth (eWOM) has become an important source of information…
Abstract
Purpose
In online purchase for dietary supplements, due to the lack of professional advice from pharmacists, electronic word-of-mouth (eWOM) has become an important source of information for consumers to make purchase decisions. How can firms use eWOM resources to increase sales? The purpose of this paper is to provide practical methods for firms by exploring the effects of eWOM on sales and developing a sales prediction model based on eWOM.
Design/methodology/approach
The data came from 120 dietary supplements on Tmall.com. The authors extracted the product sales as dependent variable and 11 eWOM factors as independent variables. The multicollinearity was tested by using variance inflation factor and least absolute shrinkage and selection operator. The multiple linear regression was used to investigate the effects of eWOM on sales. Drawing on white- and black-box approaches, six models were developed. Comparing the root mean square error, the authors selected the optimal one as their target sales prediction model.
Findings
Product ratings, total reviews and favorites are positively and strongly associated with sales. Questions and additional reviews have negative effects on sales. The random forest model has the best prediction performance.
Originality/value
The research focuses on eWOM of dietary supplement. First, the authors show that easily accessible eWOM from online platforms can be used to evaluate effects and predict sales. Second, the authors introduce white- and black-box models through machine learning to assess eWOM. Firms could use the described models to foster their marketing initiatives.
Details