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This paper aims to demonstrate how skills taxonomies can be used in combination with machine learning to integrate diverse online datasets and reveal skills gaps. The purpose of this study is then to show how the skills gaps revealed by the integrated datasets can be used to achieve better labour market alignment, keep educational offerings up to date and assist graduates to communicate the value of their qualifications.

Using the ESCO taxonomy and natural language processing, this study captures skills data from three types of online data (job ads, course descriptions and resumes), allowing us to compare demand for skills and supply of skills for three different occupations.

This study illustrates three practical applications for the integrated data, showing how they can be used to help workers who are disrupted by technology to identify alternative career pathways, assist educators to identify gaps in their course offerings and support students to communicate the value of their training to employers.

This study builds upon existing applications of machine learning (detecting skills from a single dataset) by using the skills taxonomy to integrate three datasets. This study shows how these complementary, big datasets can be integrated to support greater alignment between the needs and offerings of educators, employers and job seekers.

Sustainability challenges are omnipresent. This study aims to identify consumer segments based on food consumption practices from purchasing to disposal. A priori work identified quality attributes, food responsibility, dietary choices and food organisation and management within the home as key influences. Each represents an opportunity for consumers to employ more sustainable food behaviours. A priori work identified several indicators for each of these influences. This study explored the suitability of these indicators for measuring the identified key influences.

The authors used an online survey of 324 Irish food consumers in January 2021 to address online food interests, purchasing preferences and purchase behaviour linked to food sustainability.

The authors identify four consumer segments – food dabblers, food appreciators, pro-sus and pressured – which present a holistic view of the sustainable behaviours practiced by food consumers. The findings provide insight into the range of sustainability-related food behaviours actioned by consumers – from interest in meat-free products, organics and local produce to having an organised stock at home and minimising waste. The findings shed light on how consumers integrate elements of sustainability into their food lifestyles.

This study captures sustainability-related food behaviours from the point of purchase through to consumption and disposal and identifies four new consumer segments based on interests, preferences and behaviours.

This study aims to examine the following across a six-month period in post-graduate research (PGR) students: mental health and well-being; the effect of academic pressures on depression, anxiety and well-being; and the extent to which psychological resilience buffered against academic pressures.

This was a longitudinal questionnaire study with predictor variables of six types of academic pressure, outcome variables of depression, anxiety and well-being, and a moderator of resilience.

Well-being significantly worsened across the six-month timeframe, but levels of depression and anxiety remained relatively stable. Negative perceptions of academic challenges at baseline significantly predicted anxiety, but not depression or well-being, six months later. Negative appraisals of relationships with supervisors, other university staff and work peers were not predictors of anxiety. Social support resilience which was present at baseline buffered the relationship between perceived academic challenges and anxiety.

Higher education institutions have a duty of care towards PGR students, many of whom struggle with the escalating interactions between mental health problems and academic pressures. Actively nurturing psychological resilience related to social support is key at the level of individual students and the PGR community but more broadly at an institutional level.

To the best of the authors’ knowledge, this is the first study to examine the effects of negative perceptions of multiple facets of academic life on depression, anxiety and well-being longitudinally. Additionally, it is the first study to investigate, and demonstrate, the extent to which psychological resilience can lessen the relationship between academic challenges and anxiety over time.

Generation Z will be the leading consumer group in the future. Using convenience stores, the study provides an in-depth analysis on Gen Z’s current experience and future expectations from retail stores. The study further highlights the differences between Gen Z’s perception of convenience stores across three different regions – the USA, South Korea and Japan.

This study conducted a series of in-depth, semi-structured interviews with 36 Gen Z participants from the USA (12), South Korea (11) and Japan (13). All interviews were first coded based on a preselected list of themes and were further coded with new themes that emerged from exploratory coding.

Each regional cohort varied in terms of how they experienced and what they expected from convenience stores. US participants showed negative or utilitarian attitudes toward convenience stores, whereas South Korean participants had a positive, personal attachment to them. In comparison, Japanese participants had a relatively neutral attitude. However, all three groups showed a common preference for smart technology and health concerns surrounding convenience store foods.

Convenience store chains should consider the cultural nuances when designing future services. The chains should further strive to remove the health concerns about the foods provided at the stores and design smart technologies that enhance user experience.

The present study broadens the knowledge in this budding consumer segment where current research is limited. It further sheds light on the variance among Gen Zers across different cultural contexts.

Successful smart cities' implementation will require organisational leadership decision-making competences. The foundation of smart cities is digital technologies; many of these technologies are emerging technologies that require IT skills, which are scarce and will exacerbate the battle for talent between organisations. Filling the talent gap will necessitate global hiring, which has implications for organisational culture, cultural diversity and organisational leadership. Organisational cultural mix is an important contributor to leadership decision-making. However, decision-making is underpinned by trust. Blockchain is an emerging technology that has the potential to engender organisational trust in decision-making and, by extension, in the leadership with the ‘right’ organisational culture. Smart cities will be required to leverage emerging technologies to give business performance a competitive advantage and use emerging technologies’ applications to build a sustainable competitive advantage.

We argue that a fundamental issue regarding how to search and how to switch between different cognitive modes lies in the decision rules that influence the dynamics of learning and exploration. We examine the search logics underlying these decision rules and propose conceptual prompts that can be applied mentally or computationally to aid managers’ decision-making.

By applying Multi-Armed Bandit (MAB) modeling to simulate agents’ interaction with dynamic environments, we compared the patterns and performance of selected MAB algorithms under different configurations of environmental conditions.

We develop three conceptual prompts. First, the simple heuristic-based exploration strategy works well in conditions of low environmental variability and few alternatives. Second, an exploration strategy that combines simple and de-biasing heuristics is suitable for most dynamic and complex decision environments. Third, the uncertainty-based exploration strategy is more applicable in the condition of high environmental unpredictability as it can more effectively recognize deviated patterns.

This study contributes to emerging research on using algorithms to develop novel concepts and combining heuristics and algorithmic intelligence in strategic decision-making.

This study offers insights that there are different possibilities for exploration strategies for managers to apply conceptually and that the adaptability of cognitive-distant search may be underestimated in turbulent environments.

Drawing on insights from machine learning and cognitive psychology research, we demonstrate the fitness of different exploration strategies in different dynamic environmental configurations by comparing the different search logics that underlie the three MAB algorithms.

COVID-19 accelerated change within the UK retail market. It encouraged the growth of online shopping, providing the necessary demand for grocers to invest in their operations, and transformed the economics of their businesses. As innovative new business models emerged, some existing retailers collapsed leading to significant changes on the high street. Landlords were also affected. As some retail tenants struggled to pay their rents, other parts of the sector prospered and sought additional warehouse capacity to cope with rising demand. Not only does this illustrate how different parts of the retail sector faired during COVID-19, but it also demonstrates how the move online has resulted in the emergence of new opportunities.

The paper discusses the use of co-design for staff professional learning within higher education. It suggests that three distinct approaches to professional learning can be characterised as help-yourself platforms/services, drive-by workshops and co-design workshops. It makes pragmatic suggestions for where co-design might be used and heuristics for its successful use, based upon the authors' collective experiences.

This practitioner paper presents a case-study of co-design in a university context. Staff from across disciplinary boundaries were brought together to co-design novel learning experiences for students for a non-traditional context.

Findings from a case study are used to highlight the strengths of a co-design approach, as understood through the lenses of networked learning and self-determination theory. It juxtaposes co-design for staff learning with other approaches and finds it to be valuable and underutilised.

The research discusses a single case study involving two workshops with a sample size of 112 participants. It is included as an example of co-design for professional learning in higher education.

Co-design for professional learning in higher education is poorly understood and presently underutilised. This paper addresses this gap by presenting an example of co-design for professional learning in higher education and theorising its significance.

Foodborne disease remains a significant public health threat and cause for concern. Despite numerous studies indicating that the domestic kitchen is a high-risk area for foodborne illness, consumers believe it is low-risk. The type of food being prepared in the kitchen has drastically changed, with an increased use of convenience products, perceived low-risk products. Little is known about consumers' behaviours with convenience meals. Therefore, it is essential to understand actual and perceived food safety behaviours in their use.

A mixed-methods approach using in-home observations and semi-structured interviews was undertaken with participants from the UK and the Republic of Ireland (N = 50). Observational data was summarized using descriptive statistics and an inductive thematic analysis was conducted to interpret the qualitative data.

In this study general food safety behaviours, such as handwashing, use-by date checking, as well as identifying obvious safety hazard were suboptimal. However, participants' convenience meal safety behaviours were as optimal as possible with the provided instructions. The qualitative data supported the participants' struggle with the provided on-packet instructions. They also displayed participants' uncertain perceptions around different products, for example if oven-products could be reheated multiple times, and varying levels of concern around meat and dairy products. Consumers urged for more detailed and clearer instructions with these products. Recommendations for producers are provided to enhance consumer experience with the use of the products as well as contributing towards ensuring consumer safety.

Mixed-methods approach investigating consumers' real and perceived food safety behaviours.