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1 – 10 of 12Maria Teresa Trentinaglia, Daniele Cavicchioli, Cristina Bianca Pocol and Lucia Baldi
The goal of this study is to understand if ethnocentrism exists at the sub-regional level among honey consumers living in the same production area as a protected designation of…
Abstract
Purpose
The goal of this study is to understand if ethnocentrism exists at the sub-regional level among honey consumers living in the same production area as a protected designation of origin (PDO). Moreover, this analysis explores if ethnocentrism is influenced by individual economic conditions, among other socio-demographic characteristics.
Design/methodology/approach
A sample of 725 consumers was collected through the use of a questionnaire that was circulated in the province of Varese, one of the few honey PDO areas in Italy. The authors performed a principal component analysis and a two-step cluster analysis to identify different PDO honey consumer segments, focusing on their interest for PDO attributes.
Findings
The authors identified four consumer segments, depending on socio-demographic, consumption habits, frequencies, preferred attributes and preferences for the PDO product. One cluster exhibited strong preferences for the PDO honey, in the spirit of ethnocentrism, and was characterised by low-income levels; ethnocentric preferences were also observed in another cluster that had a different socio-economic profile.
Research limitations/implications
Honey is a niche product and not universally diffused among consumers: further analyses should investigate sub-national ethnocentrism for more universal food products. Yet, through the inspection of the different profiles found, it was possible to devise marketing strategies to boost PDO honey purchasing and to bring consumers closer to PDO products.
Originality/value
This analysis considers ethnocentrism as a segmentation criterion for PDO honey consumers that live in the very same PDO honey production area and enriches the existing literature on the relationship between ethnocentrism and individual economic status.
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Mattia Martini, Dario Cavenago and Elisabetta Marafioti
This paper explores the use of social media (SM) in Human Resource Management (HRM). Building on the configurational approach, the study investigates the existence of different…
Abstract
Purpose
This paper explores the use of social media (SM) in Human Resource Management (HRM). Building on the configurational approach, the study investigates the existence of different configurations of social e-HRM, their consequences for the organizations and their predictors.
Design/methodology/approach
This empirical study draws on a survey administered to HR directors of 176 companies operating in Italy. Two-step cluster analysis, test for variance and logistic regressions were employed for data analysis.
Findings
Three social e-HRM configurations emerged – non-use, relational use and extended relational use – which distinguish different goals for using SM in HRM. The three configurations lead to similar outcomes for organizations, even if SM users, in general, enjoy greater success than non-users. Certain structural, strategic and HRM factors are systematically and variously associated with each configuration.
Research limitations/implications
The study is based on cross-sectional research, and thus it is difficult to identify causal links between the variables. The study also relies on data collected in a specific national context, which limits the generalizability of the results.
Practical implications
The study suggests that different and equally effective social e-HRM configurations exist and that their presence is predicted by specific structural, strategic and HRM factors.
Originality/value
The study contributes to an emerging and still scarce literature on types, drivers and outcomes of SM use in HRM.
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Li Chen, Dirk Ifenthaler, Jane Yin-Kim Yau and Wenting Sun
The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption…
Abstract
Purpose
The study aims to identify the status quo of artificial intelligence in entrepreneurship education with a view to identifying potential research gaps, especially in the adoption of certain intelligent technologies and pedagogical designs applied in this domain.
Design/methodology/approach
A scoping review was conducted using six inclusive and exclusive criteria agreed upon by the author team. The collected studies, which focused on the adoption of AI in entrepreneurship education, were analysed by the team with regards to various aspects including the definition of intelligent technology, research question, educational purpose, research method, sample size, research quality and publication. The results of this analysis were presented in tables and figures.
Findings
Educators introduced big data and algorithms of machine learning in entrepreneurship education. Big data analytics use multimodal data to improve the effectiveness of entrepreneurship education and spot entrepreneurial opportunities. Entrepreneurial analytics analysis entrepreneurial projects with low costs and high effectiveness. Machine learning releases educators’ burdens and improves the accuracy of the assessment. However, AI in entrepreneurship education needs more sophisticated pedagogical designs in diagnosis, prediction, intervention, prevention and recommendation, combined with specific entrepreneurial learning content and entrepreneurial procedure, obeying entrepreneurial pedagogy.
Originality/value
This study holds significant implications as it can shift the focus of entrepreneurs and educators towards the educational potential of artificial intelligence, prompting them to consider the ways in which it can be used effectively. By providing valuable insights, the study can stimulate further research and exploration, potentially opening up new avenues for the application of artificial intelligence in entrepreneurship education.
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Muhammad Yusuf Shaharudin, Zulkhairi Mohamad and Asmah Husaini
The wake of the novel coronavirus (COVID-19) pandemic had caused substantial disruptions to the usual delivery of healthcare services. This is because of restrictive orders that…
Abstract
The wake of the novel coronavirus (COVID-19) pandemic had caused substantial disruptions to the usual delivery of healthcare services. This is because of restrictive orders that were put in place to curb the spread of the infection. Palliative care services in Brunei also face challenges to deliver effective services during this period. However, the impact of advanced illnesses on patients' health and end-of-life care are issues that cannot be planned, postponed or cancelled. Hence, the palliative care team needs to continue to deliver effective palliative care services. As Brunei faced its second pandemic wave in August 2021, crucial adaptations were made to ensure palliative care service was not disrupted. This reflective case study aims to discuss the adaptations made in providing palliative care during this era of disruptions.
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