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A Network-based Tool for Identifying Knowledge Risks in Data-Driven Business Models
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2021 | HICSS | Citations: 0
Authors: Fruhwirth, Michael; Pammer-Schindler, Viktoria; Thalmann, Stefan

Abstract: Data-driven technologies enable organizations to innovate new services and busin ... Expand

Abstract: Data-driven technologies enable organizations to innovate new services and business models and thus hold the potential for new sources of revenue and business growth. However, such new data-driven business models impose new ways for unwanted knowledge spillovers. Current research on datadriven business models and knowledge risks provides little help to identify and discuss such novel risks within the innovation process. We have developed a network-based representation of data-driven business models within one case organization, where it helped to identify knowledge risks in the design process of data-driven business models. In this paper, we further evaluated the artifact through 17 interviews with experts from the domain of business models, data analytics and knowledge management. We found that the network-based representation is suitable to visualize, discuss and create awareness for knowledge risks and see types of data-related value objects and quantification of risks as two recommendations for further research. Collapse

Semantic filters: Styria

Topics: business model innovation management risk management data-driven business model knowledge management

Methods: qualitative interview design artifact testing design science design artifact case study
Discovering Business Models of Data Marketplaces

2020 | HICSS | Citations: 39
Authors: Fruhwirth, Michael; GmbH, Know-Center; Rachinger, Michael; Prlja, Emina

Abstract: The modern economy relies heavily on data as a resource for advancement and grow ... Expand

Abstract: The modern economy relies heavily on data as a resource for advancement and growth. Data marketplaces have gained an increasing amount of attention, since they provide possibilities to exchange, trade and access data across organizations. Due to the rapid development of the field, the research on business models of data marketplaces is fragmented. We aimed to address this issue in this article by identifying the dimensions and characteristics of data marketplaces from a business model perspective. Following a rigorous process for taxonomy building, we propose a business model taxonomy for data marketplaces. Using evidence collected from a final sample of twenty data marketplaces, we analyze the frequency of specific characteristics of data marketplaces. In addition, we identify four data marketplace business model archetypes. The findings reveal the impact of the structure of data marketplaces as well as the relevance of anonymity and encryption for identified data marketplace archetypes. Collapse

Semantic filters: Styria

Topics: business model value creation search engine database system electronic mail

Methods: literature study company material archival research
Towards the enhancement of e-democracy: identifying the notion of the‘middleman paradox’
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2005 | Information Systems Journal | Citations: 0
Authors: Mahrer, Harald; Krimmer, Robert

Abstract: The challenge towards e-democracy, through the electronic transformation of poli ... Expand

Abstract: The challenge towards e-democracy, through the electronic transformation of political systems, has become increasingly evident within developed economies. It is regarded as an approach for increased and better quality citizen participation in the democratic processes. E-democracy forms a component of overall e-government initiatives where technology adoption and diffusion, to enhance wider access to, and the delivery of, government services, are apparent. However, previous research demonstrates that very few e-democracy proposals survive the stage of formal political decision-making to become substantive e-government projects within national or international agendas. Furthermore, the implementation of e-democracy projects is undertaken at a much slower pace and with dramatically less support than the implementation of other, so-called e-administration, activities in the public sector.The research in this paper considers the notion of the‘middleman paradox’, presenting theoretical and empirical evidence that further investigates the phenomenon associated with potential e-democracy improvements. Specifically, the paper adds a new dimension to existing theories on the hesitant evolution of e-democracy that clearly identifies politicians as an inhibiting factor. Proposals are made for an enhancement of these processes, and suggestions for further applicable research are demonstrated. Collapse

Semantic filters: Styria

Topics: government system decision making database system electronic voting

Methods: qualitative interview case study theory development multiple case study field study

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A Network-based Tool for Identifying Knowledge Risks in Data-Driven Business Models

Discovering Business Models of Data Marketplaces

Towards the enhancement of e-democracy: identifying the notion of the‘middleman paradox’