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    Amplifying Human Capabilities in Prostate Cancer Diagnosis: An Empirical Study of Current Practices and AI Potentials in Radiology
    This paper examines the potential of Human-Centered AI (HCAI) solutions to support radiologists in diagnosing prostate cancer. Prostate cancer is one of the most prevalent and increasing cancers among men. The scarcity of radiologists raises concerns about their ability to address the growing demand for prostate cancer diagnosis, leading to a significant surge in the workload of radiologists. Drawing on an HCAI approach, we sought to understand the current practices concerning radiologists' work on detecting and diagnosing prostate cancer, as well as the challenges they face. The findings from our empirical studies point toward the potential that AI has to expedite informed decision-making and enhance accuracy, efficiency, and consistency. This is particularly beneficial for collaborative prostate cancer diagnosis processes. We discuss these results and introduce design recommendations and HCAI concepts for the domain of prostate cancer diagnosis, with the aim of amplifying the professional capabilities of radiologists.
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      5
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    PublicationAccess status: Open Access ,
    Nomadic knowledge sharing practices and challenges: findings from a long-term case study
    In this paper, we explore a specialized type of knowledge, namely, nomadic knowledge, to understand its implications in knowledge sharing. Nomadic knowledge is enacted in a discontinuous pattern with a changing set of actors and further flows on a defined trajectory. This knowledge is quite important but is required sporadically, so it has a varying level of importance for stakeholders at different instances of time. The limited interest of knowledge holders after the creation of this type of knowledge makes its sharing process complex. Furthermore, new sets of actors overloaded with tasks often ignore the knowledge sharing aspect of nomadic knowledge due to the urgency of the tasks at hand. Using a long-term field study, we illustrate practices concerning the sharing of nomadic knowledge, which, we argue, are to date not yet well supported technologically. The objective of this contribution is, therefore, to outline the concept of nomadic knowledge and associated implications, so that respective knowledge sharing practices can be supported by the knowledge management community with appropriate technology. The underlying complexity of knowledge sharing practices highlighted in this paper stresses the need for appropriate technological and social processes to facilitate the sharing of nomadic knowledge.
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    The Relevance of KES-Oriented Processes for the Implementation of ERP Systems: Findings From an Empirical Study in German SMEs
    Past and current research has shown that Knowledge and Expertise Sharing (KES) is central to the appropriation of enterprise software such as Enterprise Resource Planning (ERP) systems. ERP implementation projects in Small and Medium-sized Enterprises (SMEs) are often driven by research and practice. However, they tend to focus on the 'go live' moment rather than on the subsequent, much longer post-implementation phase. This, we argue, results in decreased utilisation over time and an increased need for workarounds. In this paper, we draw on an empirical study within four organisations which exposes the limitations of KES in ERP implementation projects in SMEs, especially in regard to the preparation of key users. Our findings suggest that, despite key users' essential role in these projects, they are often chosen haphazardly and are ill-prepared. As a result, they cannot fulfil their role of facilitating KES with end users, who end up appropriating ERP systems mostly through 'learning by doing'. This stems directly from complex and largely unrecognised processes involving consultants, hotlines, management, key users and end users. In this paper, we introduce and discuss specific socio-technical, KES-oriented measures which can potentially lead to sustainable KES throughout the ERP life-cycle for longer-term success.
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      11
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    Workplace Aspects of Knowledge and Expertise Sharing Practices Supported by Augmented Reality Systems: Findings from a Design Case Study
    In this Article, we present findings concerning how environment can both impact upon and be impacted by knowledge and expertise sharing practices (KES) supported by augmented reality (AR) systems. We draw on findings from a Design Case Study (DCS) carried out for the design and evaluation of an AR system to support KES in complex production contexts. Our results suggest that the proposed system not only changes the perception of the technical environment but is itself gradually perceived as an element of it. The results also reveal changes in the employees’ focus of attention when working with the AR-aid in question and how they individually adapt to it. Moreover, our findings suggest that the proposed system facilitates a change in the proximity between experts and non-experts, bridging spatial and temporal distances, fostering cooperation between those two categories of workers, at the same time that enhance their autonomy. Overall, the results highlight how changes in the social environment of digitised production cannot be separated from changes in the technical environment.
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      4