Abstract
Data marketplaces can fulfil a key role in realizing the data economy by enabling the commercial trading of data between organizations. Although data marketplace research is a quickly evolving domain, there is a lack of understanding about data marketplace business models. As data marketplaces are vastly different, a taxonomy of data marketplace business models is developed in this study. A standard taxonomy development method is followed to develop the taxonomy. The final taxonomy comprises of 4 meta-dimensions, 17 business model dimensions and 59 business model characteristics. The taxonomy can be used to classify data marketplace business models and sheds light on how data marketplaces are a unique type of digital platforms. The results of this research provide a basis for theorizing in this rapidly evolving domain that is quickly becoming important.
Highlights
From time to time, viral epidemics within individual countries threaten the health and lives of that country's inhabitants, and may wreak havoc on social and economic activities
On the other hand, harbour the potential for health impacts over large regions and potentially the whole world, and may have longer-term impacts on economic wellbeing because all countries' economies have been hampered and drivers of recovery are in short supply
The particular need that is the focus of the present paper was for assistance in public health management, which seeks to slow the spread of the virus, protect vulnerable sub-populations, ensure capacity to treat sufferers, and defeat the virus, while sustaining public confidence and achieving sufficiently high levels of compliance
Summary
Viral epidemics within individual countries threaten the health and lives of that country's inhabitants, and may wreak havoc on social and economic activities. Research in elderly care reveals that the attitudes of elderly towards social robots are more often positive than negative (Savela, Turja, & Oksanen, 2018), the same holds for people with dementia (Whelan et al, 2018). These findings are promising for our study as we aim to experiment with social robots in the natural environment, whereby the perspective of stakeholders is important for the successful implementation of this new technology
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