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Capturing the “Social” in Social Networks: The Conceptualization and Empirical Application of Relational Quality
AI Processed

How do activity levels and connection counts shape the quality of employee interactions on corporate social networks?

Christian Meske, Iris Junglas, Matthias Trier, Johannes Schneider, Roope Jaakonmäki, Jan vom Brocke
Capturing the “Social” in Social Networks: The Conceptualization and Empirical Application of Relational Quality
Journal of the Association for Information Systems · 2025
Key findings
  • Relational quality is a distinct and relevant dimension that complements traditional structural social network analysis (SNA), which typically only focuses on network structure.
  • The study identifies and measures four key facets of relational quality: being personal, being curious, being polite, and sharing.
  • Different types of users exhibit distinct patterns of relational quality; for instance, 'connectors' (users with many connections but low activity) are the most personal, while 'broadcasters' (users with high activity but few connections) share the most resources.
  • As a user's activity (e.g., number of posts) increases, their interactions tend to become less personal, curious, and polite, while their sharing of resources increases.
  • In contrast, as a user's number of connections grows, their interactions become more personal and curious, but they tend to share fewer resources.
Enterprise Social Network, Social Capital, Relational Quality, Social Network Analysis, Linguistic Analysis, Computational Research
Designing and Implementing Digital Twins in the Energy Grid Sector
AI Processed Human Approved

How can energy grid companies successfully design and implement digital twins?

Christian Meske, Karen S. Osmundsen, Iris Junglas
Designing and Implementing Digital Twins in the Energy Grid Sector
MIS Quarterly Executive · 2021
Key findings
  • The digital twin provides real-time and historical insights into the grid's status, enabling proactive maintenance, prediction of component failures, and more efficient management of power loads.
  • It serves as a powerful simulation tool to model future scenarios, such as the impact of increased electrification from electric ferries, allowing for better long-term planning and investment.
  • Successful implementation requires a strong focus on organizational learning, innovative co-creation with technology partners, and continuous feedback from end-users throughout the project.
  • The project highlighted the critical importance of evolving data governance, forcing the company to tackle complex issues of data security, integration, and standardization to unlock the full potential of the digital twin.
Digital Twin, Energy Sector, Grid Management, Digital Transformation, Organizational Learning, Co-creation, Data Governance
REGULATING EMERGING TECHNOLOGIES: PROSPECTIVE SENSEMAKING THROUGH ABSTRACTION AND ELABORATION
AI Processed

How can governments and industry leaders create effective rules for emerging technologies without stifling innovation?

Stefan Seidel, Christoph J. Frick, Jan vom Brocke
REGULATING EMERGING TECHNOLOGIES: PROSPECTIVE SENSEMAKING THROUGH ABSTRACTION AND ELABORATION
MIS Quarterly · 2025
Key findings
  • Creating effective regulation for new technologies is a process of 'collective prospective sensemaking,' where diverse stakeholders build a shared understanding over time.
  • This process relies on two interrelated activities: 'abstraction' and 'elaboration'. Abstraction involves generalizing the essential properties of a technology to create flexible, technology-neutral rules that encourage innovation.
  • Elaboration involves specifying details and requirements to provide legal certainty and protect users.
  • Through this process, the regulatory target can evolve significantly, as seen in the case study's shift from regulating 'blockchain/cryptocurrency' to a broader, more durable law for the 'token economy' and 'trustworthy technology'.
Technology regulation, prospective sensemaking, sensemaking, institutional construction, emerging technology, blockchain, token economy
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