One App to Test Them All - Opportunities and Challenges of Implementing a Remote Sampling System in Anti-Doping Work

2023 | International Conference on Information Systems | Citations: 0

Authors: Stoffers, Benedikt; Lanfer, Julian; Westmattelmann, Daniel; Schewe, Gerhard

Abstract: Triggered by the Covid-19 pandemic and driven by the need to save financial and ... Expand

Abstract: Triggered by the Covid-19 pandemic and driven by the need to save financial and environmental resources when conducting in-person anti-doping tests, a remote sampling system (RSS) was developed that may foster the digital transformation of antidoping work. Since research on factors affecting RSS implementation is limited, we apply the Extended Valence Framework (EVF) with decomposed core constructs as the theoretical lens to qualitatively examine perceived benefits, risks, and trust perceptions associated with RSS implementation from multiple organizational perspectives. Interviews with twelve C-level representatives of anti-doping organizations indicate support for RSS implementation, as interviewees perceive a positive net balance of benefits and risks. However, the regulatory authority expressed skepticism due to perceived risks and limited trust perception. Our results contribute to IS research by providing a contextualized EVF for future qualitative and quantitative research. Moreover, we offer practical proposals to address perceived risks and promote reciprocal trust when implementing an RSS. Collapse

Topics: systems implementation privacy behavioral intention software developer systems development

Methods: qualitative interview qualitative content analysis theory development qualitative coding triangulation

Service robots in hospitals: New perspectives on niche evolution and technology affordances

2017 | European Journal of Information Systems | Citations: 37

Authors: Mettler, T.; Sprenger, M.; Winter, R.

Abstract: Changing demands in society and the limited capabilities of health systems have ... Expand

Abstract: Changing demands in society and the limited capabilities of health systems have paved the way for robots to move out of industrial contexts and enter more human-centered environments such as health care. We explore the shared beliefs and concerns of health workers on the introduction of autonomously operating service robots in hospitals or professional care facilities. By means of Q-methodology, a mixed research approach specifically designed for studying subjective thought patterns, we identify five potential end-user niches, each of which perceives different affordances and outcomes from using service robots in their working environment. Our findings allow for better understanding resistance and susceptibility of different users in a hospital and encourage managerial awareness of varying demands, needs, and surrounding conditions that a service robot must contend with. We also discuss general insights into presenting the Q-methodology results and how an affordance-based view could inform the adoption, appropriation, and adaptation of emerging technologies. © 2017 The OR Society. Collapse

Topics: robotic affordance usability organizational context user experience

Methods: Q methodology qualitative interview data transformation mixed method factor analysis

Theories: theory of affordance