Search results

Artificial Intelligence (AI) is permeating many facets of our daily lives, appearing in household appliances, cell phones and popular online apps. AI has the capacity to revolutionize teaching and learning processes in higher education institutions. The integration of AI technologies in education can lead to personalized learning experiences, improved educational quality and enhanced learning outcomes. However, the adoption of AI in higher education comes with challenges such as ethical considerations and the need to address equity and inclusion issues to ensure that all students benefit from AI advancements. This chapter considers how AI can be utilized in education, while acknowledging the challenges and finding ways to mitigate them. Useful tools include: Bespoke Learning, Intelligent Tutoring Systems, Grading, Collaborative, Learning Assistance, Research Support and Adaptive Learning. The challenges addressed are: ethical considerations, resistance to change and data security and privacy. In navigating the complexities of integrating AI in higher education, institutions must strike a balance between leveraging the transformative potential of AI technologies and addressing the ethical, social and technical challenges that accompany their implementation. By prioritizing ethical considerations, addressing resistance to change and safeguarding data security and privacy, higher education institutions can harness the benefits of AI to enhance teaching and learning practices, foster innovation and prepare students for success in the digital age.

Staff shortages in the healthcare sector increase the competition for qualified staff. A magnet hospital is intended to attract, and retain healthcare professionals. This article aims to investigate the challenges related to implementation of a magnet hospital model, and given these challenges, to analyse the interplay between different organisational levels in a Swedish hospital.

The data collection followed the implementation of a magnet hospital model and consisted of 14 meeting observations, 31 interviews and 13 document analyses.

The model implementation was driven by a top-down approach, with accompanying bottom-up activities, involving healthcare professionals, to ensure adaption to the hospital’s conditions at different organisational levels. The findings revealed that the model was more appealing to top management, seeking a standardised solution to attract and retain nurses. Clinic managers preferred tailor-made solutions for managing their employee resourcing challenges. Difficulties in translating and contextualising the model to the hospital’s conditions created challenges at every organisational level. Some were contained within a level while others spread to the organisational level below and turned into something else.

Apart from unique empirical material depicting the implementation of a magnet hospital model as an effort to attract and retain healthcare professionals, the value of this study lies in the attention given to the challenges that arise when responsibility for implementing a management model is shifted from top management to change agents tasked with facilitating and executing the organisational change.

The aim of this chapter is to understand the policy liberties and constraints within which school headteachers, and teachers aspire to promote high-quality education for their pupils in private schools in Somalia in the context of conflict in the country. This chapter develops this understanding of headteachers particularly in low-cost primary private schools in Somalia. The analysis in this chapter is informed by Mumford et al.’s Skills Model, as this approach combines the notion of knowledge and abilities necessary for effective leadership. First, using interview data with headteachers, we critique how headteachers in private schools in Mogadishu, Somalia, lead and manage schools when there is a crisis and conflict surrounding them, by unpacking the concepts of leadership and management. Second, we shed light on how well they are prepared and developed professionally to manage in such a turbulent environment caused by the war in Somalia. Here, we consider the role of the Federal Ministry of Education in the level of support that headteachers get in enacting their education policy. Third, this chapter discusses the impact of such crises on the quality of education provision for local private schools. Finally, this chapter identifies lessons to be learnt through suggested recommendations for headteachers in leading and managing education in times of turbulence and conflict. Here, we pose a suggestion for headteachers to consider if glocalisation, as a phenomenon, may offer a way to resolve local crises with local solutions in providing high-quality education for their students.

The Health Star Rating (HSR) is a front-of-pack labeling system that helps consumers understand the nutritional values of foods. In this study, we examined the effects of the presence (vs. absence) of an HSR label on consumer choice behavior and perception of healthiness.

In an experimental study, we tested if the presence (vs. absence) of an HSR label provides a competitive advantage over a rival product that lacks the label, influencing purchase intentions. Participants were asked to choose among two competing products, with and without the labels, in a full factorial design.

Results showed that products with an HSR label had a competitive advantage over the rival products that did not have the label. Moreover, this effect emerged more strongly for some products than others. Thus, while front-of-pack (FOP) labels can enhance sales, their impact may vary based on the specific product or brand.

This paper offers novel insights into the implications of HSR labels for consumer behavior and marketing strategies, particularly in the context of their potential use as a marketing tool by companies to boost sales in the food industry.

In recent years, the robotic process automation (RPA) technology has increasingly been used to automate business processes. While a lot of research has been published on the potential and benefits of the technology, only a few studies have conducted research on challenges related to RPA adoption. Hence, this study aims to identify and discuss challenges related to RPA implementation projects.

Following an inductive methodology, interviews have been conducted with consultants who were involved in multiple RPA implementation projects. Hence, their extensive experience and views contribute to a detailed and in-depth understanding of the phenomena under research.

The results suggest that there are various process-related, technical, resource-related, psychological and coordinative challenges that must be considered when conducting an RPA implementation project.

This paper contributes to knowledge by presenting a new typology of challenges, as well as providing an in-depth discussion of the individual challenges that organizations face.