Securing Knowledge Systems and Managing Knowledge Risks
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ItemProtecting Organizational Information Assets: Exploring the Influence of Regulatory Focus on Rational Choices( 2021-01-05)Protecting organizational information assets is an important objective for most organizations. More than ever, information security is reliant on insiders with access to information in the course of their work. To help shed light on these insiders’ motivations to protect organizational information, this research integrates regulatory focus theory with rational choice theory. The result of these exploratory analyses indicates that promotion and prevention foci each distinctly relate to perceived costs and benefits of protecting organizational information assets. Additionally, the findings show that an expanded set of costs and benefits are mediated by the overall benefit of protecting. Ultimately, the model explains 57.1% of the variance in insiders’ intentions to protect organizational information assets.
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ItemA Network-based Tool for Identifying Knowledge Risks in Data-Driven Business Models( 2021-01-05)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 data-driven 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.
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