Search results

Sexual health is insufficiently addressed in health care and higher education, which can lead to lower quality of life and negative health outcomes. To improve the situation, it is necessary to address both the needs of patients and professionals and collaboratively engage in finding sustainable solutions. The purpose of this paper is to explore the feasibility and value of large-scale digital coproduction in higher education.

A study of a project that developed seven interprofessional, digital master-level courses covering different topics related to sexual health. The project was performed through digital coproduction in higher education, with over 100 persons with various backgrounds working together online in designing content and novel digital learning activities.

Large-scale digital coproduction in higher education is feasible and valuable, but the process demands sensitive leadership, understanding of coproduction processes and willingness to learn from each other. To meet the demands from practice it is important to understand the complexity, ever-changing and unpredictable working life changes which, in turn, demands engagement in continuous learning, training activities and the need for formal education.

The study provides learning of the feasibility of the value of large-scale digital coproduction in higher education, which is a novel way of working in higher education.

Although businesses continue to take up artificial intelligence (AI), concerns remain that companies are not realising the full value of their investments. The study aims to provide insights into how AI creates business value by investigating the mediating role of Business Process Management (BPM) capabilities.

The integrative model of IT Business Value was contextualised, and structural equation modelling was applied to validate the proposed serial multiple mediation model using a sample of 448 organisations based in the EU.

The results validate the proposed serial multiple mediation model according to which AI adoption increases organisational performance through decision-making and business process performance. Process automation, organisational learning and process innovation are significant complementary partial mediators, thereby shedding light on how AI creates business value.

In pursuing a complex nomological framework, multiple perspectives on realising business value from AI investments were incorporated. Several moderators presenting complementary organisational resources (e.g. culture, digital maturity, BPM maturity) could be included to identify behaviour in more complex relationships. The ethical and moral issues surrounding AI and its use could also be examined.

The provided insights can help guide organisations towards the most promising AI activities of process automation with AI-enabled decision-making, organisational learning and process innovation to yield business value.

While previous research assumed a moderated relationship, this study extends the growing literature on AI business value by empirically investigating a comprehensive nomological network that links AI adoption to organisational performance in a BPM setting.

Our study examines how artificial intelligence (AI) can enhance decision-making processes to promote circular economy practices within the utility sector.

A unique case study of Alia Servizi Ambientali Spa, an Italian multi-utility company using AI for waste management, is analyzed using the Gioia method and semi-structured interviews.

Our study discovers the proactive role of the user in waste management processes, the importance of economic incentives to increase the usefulness of the technology and the role of AI in waste management transformation processes (e.g. glass waste).

The present study enhances the circular economy model (transformation, distribution and recovery), uncovering AI’s role in waste management. Finally, we inspire managers with algorithms used for data-driven decisions.