Search results

The purpose of this paper is to explore the usefulness of the concept to thinking about Research Data Management (RDM). The concept of “wicked problems” seeks to differentiate very complex, intractable challenges from tamer issues where approaches to problem solving are well-understood.

The paper is based on and co-authored by a collaboration of practitioners from libraries, information technology and research administration, with facilitators from the Sheffield Information School. Participants worked together in two-day-long workshops to understand the wicked problem concept and advice on leadership in wicked problem contexts.

Participants concurred that RDM had many features of a wicked problem and most of Grint’s advice on leadership for wicked problems also resonated. Some elements of the issue were simple; participants were optimistic about improving the situation over time. Participants were resistant to the more negative or fatalistic connotations of the phrase “wicked problem”. Viewing RDM as a wicked problem is an interesting way of looking at it as a challenge for support professionals.

The notion of a wicked problem is a generative concept that can be usefully added to professional vocabulary.

The paper captures an in-depth response from practitioners to the notion of wicked problems as a lens for examining RDM.

This paper aims to investigate the eHealth ecosystem’s evolution during the coronavirus disease 2019 (COVID-19) pandemic and its effects on the progression of care for patients with chronic cardiovascular disease.

To attain the aim of the study, this study chose to adopt a qualitative method that matches the complexity of the issue. The study was conducted in a real context through 44 face-to-face semi-structured interviews of key informants at different levels of the Italian eHealth service ecosystem, via Microsoft Teams. The interviews were carried out from June 2020 to January 2021. In this research, we adopted an abductive approach that enabled a process where the theoretical framework and the data analysis evolved at the same time.

The study results were used to develop a conceptual framework that considers the key factors enabling and constraining the evolutionary process of the eHealth service ecosystem. In particular, the drivers that emerged from the study were actor role empowerment, actor–network engagement and resource reconfiguration while the inhibitors were inter- and intra-actor misalignment, resource myopia and the platformisation gap. The findings also revealed the pivotal role of the meso level in the development of the eHealth service ecosystem, boosted by the COVID-19 pandemic.

By adopting a service ecosystem perspective, this paper contributes, at both a theoretical and a managerial level, to a better understanding of the dynamics related to the diffusion of eHealth. The study identifies the main issues that researchers, managers and policymakers should address to support the evolution of the eHealth service ecosystem, with particular regard to chronic cardiovascular disease.