There is an urgent need to engage with deep leverage points in sustainability transformations—fundamental myths, paradigms, and systems of meaning making—to open new collective horizons for action. Art and creative practice are uniquely suited to help facilitate change in these deeper transformational …

Fashion design has rapidly become a digital process where textiles are simulated as soft, conformable materials on a digital body. The embodied experience and physical interaction with the textile have been replaced by screen-based media, resulting in a gap in understanding between physical and digital …

INTRODUCTION: There is a growing interest in the involvement of family members of older patients with cancer in decision-making processes. The aim of this study is to identify how and to what extent family members, together with patients and physicians, are involved in triadic decision-making processes …

Purpose: Employer branding (EB) has become a powerful tool for organizations to attract employees. Recruitment communication ideally reveals the image that companies want to portray to potential employees to attract talents with the right skills and competences for the organization. This study explores …

Interconnected and smart technologies complicate personal information management (PIM) because users delegate the storing, organizing, and retrieving of personal information to smart and mobile service providers. Meta-level PIM activities are required to maintain the privacy and security of personal …

Blended learning offers a learner-centred approach that employs both in-class learning and digital technology to facilitate online learning. Such an approach is especially advantageous to adult-learners in higher education as it meets their educational needs. However, adult-learners’ participation in …

Algorithmic affordances are defined as user interaction mechanisms that allow users tangible control over AI algorithms, such as recommender systems. Designing such algorithmic affordances, including assessing their impact, is not straightforward and practitioners state that they lack resources to design …

The user’s experience with a recommender system is significantly shaped by the dynamics of user-algorithm interactions. These interactions are often evaluated using interaction qualities, such as controllability, trust, and autonomy, to gauge their impact. As part of our effort to systematically categorize …

Recommender systems are widely used in today’s society, but many of them do not meet users’ needs and therefore fail to reach their full potential. Without careful consideration, such systems can interfere with the natural decision-making process, resulting in the disregard for recommendations provided. …