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This study aimed to identify and profile segments of seaweed consumers in the United Kingdom.

Hierarchical k-means cluster analysis was used to identify consumer segments based on consumers' self-identity and environmental values. In addition, the study used subjective knowledge, intentions and consumption to profile different consumer segments. The data were collected in 2022 through a consumer survey with a representative sample from the United Kingdom (n = 1,110).

Cluster analysis segmented consumers into three groups: progressive (39%), conservative (33%) and egoistic (28%). The progressive segment was most likely to consume seaweed food products. Consumers in the progressive segment identify themselves as food innovative and healthy; they also highly value the environment and their pleasure. Conservative and egoistic consumers were significantly less likely to consume seaweed food products.

The results suggest that public policy officers and marketers promote seaweed food products by emphasizing biospheric values for innovative (younger) consumers, as well as seaweed’s good taste and nutritional/health qualities.

This study identifies and examines the profiles and characteristics of seaweed consumers based on their values and self-identity. Through this research, the authors have discovered how environmental values and self-identity can effectively group consumers into homogeneous segments. Moreover, the authors have identified a specific consumer group in the UK that is more likely to consume seaweed food products.

Little is known about how religious beliefs can motivate consumers to behave more pro-environmentally. Drawn on an integrated model of the theory of planned behavior, the norm activation model and the self-determination theory, this study aims to explore the effects of religious beliefs (especially, karmic beliefs (KB) and beliefs in a just world (BJW)) on consumers' pro-environmental behavior.

A sample of 736 consumers recruited from the eight most populous cities in Vietnam using the mall-intercept survey approach and structural equation modeling (SEM) was utilized to test the hypothesized model and hypotheses.

The findings indicate that KB and BJW can increase consumers' green intrinsic motivation, which subsequently encourages them to engage in pro-environmental consumption. Moreover, awareness of consequences (AOC) and ascription of responsibility (AOR) serially indirectly inspire consumers' sustainable consumption through serial mediators, including personal norms (PN), attitudes toward green products and green purchase intention.

Based on the findings, some theoretical and managerial implications for pro-environmental consumption are provided.

The study offers fresh perspectives on the role of religious beliefs in pro-environmental research. Additionally, this study sheds new light on the marketing literature by integrating the theory of planned behavior (TPB) and norm activation model (NAM) with self-determination theory (SDT) to explore the underlying mechanisms and effects of psychological components on consumers' pro-environmental behaviors.

The high and persistent unemployment rates of people with intellectual disabilities (PwID) reveal the wide gap that still remains to be bridged. Entrepreneurship combinedly with a high enterprising tendency could improve PwID's life satisfaction.

A mixed-method approach was used, based on questionnaires and structured face-to-face interviews on 37 PwID who had recently become entrepreneurs. Data were firstly quantitatively analyzed using partial least squares-structural equation modelling (PLS-SEM), and qualitative data were used to enable robust findings.

The entrepreneurial tendency of PwID who had recently become entrepreneurs was found to be a positive to their life quality (LQ), job satisfaction and life satisfaction.

This study revealed that entrepreneurship among PwID who had high enterprising tendency enhances their LQ, job satisfaction and life satisfaction. However, further research could evaluate whether becoming an entrepreneur is in itself enough to change PwID's life to better, such that a comparison could be done between PwID who become entrepreneurs and PwID who have a salaried job.

New aspects in the design of public social policies to improve PwID's life satisfaction are suggested. These include the facilitation of both entrepreneurship and enterprising tendency for PwID to enhance their life satisfaction.

There are very few occasions in which PwID set up businesses. This is one of the first studies to analyze the benefit of entrepreneurship and enterprising tendency on the LQ, the satisfaction at work and the life satisfaction of PwID.

Studies have so far focused on learning in organizations, factors affecting learning, learning effectiveness and so on but the concept of learning in a hybrid work arrangement is yet unexplored. The purpose of this study is to measure the perception of faculty members in higher education institutions towards learning in a hybrid work arrangement and also to measure the differences of perception towards hybrid work arrangement based on employees’ gender and organization type.

The data was collected from a sample of 390 faculty members composing of Assistant Professors, Associate Professors and Professors, purposely chosen from two of the premier higher education institutions (one private and one public) located in Punjab, India. A self-structured questionnaire was administered to the faculty members who are working on a regular basis and have minimum of two years of work experience with the chosen university. For analysing the collected data exploratory factor analysis and other descriptive statistics have been applied.

The findings of the survey show that in terms of gender differences, it is the female employees who are more satisfied with different aspects of hybrid/remote work arrangement as compared to male employees. In regard to organizational differences in the perception towards learning in a hybrid work arrangement it is found that public university employees have a more positive attitude so far as individual factors are concerned, but in terms of organizational factors, it is the private university that is scoring better than the public university.

The study is limited to only two higher education institutions, and its findings to be applicable in all higher education institutions, further studies may be required on a larger canvas. Future studies may be undertaken using advanced statistical tools like structural equation modelling to explore various variables associated with learning in a hybrid work arrangement.

Applicability of hybrid work arrangement is very high in higher education institutions and to the best of the authors’ knowledge, this is the first study which adds to the literature on perception of employees towards organizational learning in a hybrid work arrangement.

There is an increase globally of students using technology to support their learning. The purpose of this paper is to outline the technical aspects of adaptive learning and contribute to the development of pedagogy that incorporates this method in teaching and learning.

This is a technical review article that summarises key guidance on the application of adaptive learning and then reflects on its application in a UK and Vietnamese context.

Initial analysis demonstrates that learning can occur asynchronously because of students engaging with adaptive learning. Issues and recommendations were derived from the reflections and practice of both UK and Vietnamese practitioners. Recommendations focussed on the more practical elements of constructing and maintaining adaptive learning. Questions were then constructed to make the decision of whether to implement adaptive learning into teaching and learning practices.

This academic commentary reflects on the implementation of asynchronous learning adaptive technologies in both the UK and Vietnam, specifically exploring the use of a “mastery path” and “computerised adaptive testing” to enhance student understanding.

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.

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.

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.

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.

This study aims to explore the relationships between employees’ training orientation, organizational support for training and employees’ training satisfaction. It also investigates the mediating role of perceived value of training in the relationships.

Based on a literature review on training, the study proposes a theoretical model that links employees’ training orientation and organizational support for training to training satisfaction directly and indirectly via perceived value of training, while employees’ training satisfaction may influence affective commitment. The model was tested using responses from 364 Chinese employees in Macao.

Results of partial least square-structural equation modeling showed that employees’ training orientation influenced training satisfaction directly and indirectly through perceived value of training, while organizational support for training also influenced employees’ training satisfaction indirectly through perceived value of training. Training satisfaction had a positive effect on affective commitment.

The study’s limitations include a cross-sectional design and the characteristics of Macao’s economic structure. Although the causality of relationships was grounded in prior studies, reverse relationships might exist between some selected variables. It is suggested that a longitudinal study shall be carried out to confirm the causality of relationships. Additionally, Macao’s economy is dominated by its service sector. Future research can be carried out in other cities that have the manufacturing and high-technology sectors.

The study unveiled that employees’ training orientation including their general attitude towards training and training goal orientation and organizational support for training are key antecedents of training satisfaction. Human resources professionals in organizations must develop innovative ways, such as simulation games and competitions, to enhance the awareness of the importance of training to their employees. Additionally, they must advocate and demonstrate organizations providing supportive environments for training.