Theory Building in Information Systems with Big Data-Driven Research

Éditeurs invités

  • Arpan Kumar Kar, Indian Institute of Technology Delhi
  • Spyros Angelopoulos, Tilburg University
  • H. Raghav Rao, University of Texas at San Antonio

Synthèse

Synthèse non disponible. Consulter l'appel directement sur le site de l'éditeur.

Thèmes proposés

  • How can we explain user interactions, consumer experiences, and impacts for emerging business models like digital services, location-based services or platform economy?
  • How can big data-driven research be used to explain digital service or emerging technology adoption, usage, and impact behaviour based on mining user generated content (UGC)?
  • How can UGC be mined to explain user behaviour in socio-political contexts like opinion polarization, acculturation or communal changes?
  • How can user engagement or disengagement in digital platforms or technologies like wearables be measured and explained based on big data analytics?
  • How can we explain phenomena surrounding digital service usage, user migration and experiences based on network data (e.g. telecommunication services)?
  • How can we develop typology of users or organizations based on UGC from online communities, social media and digital platforms?
  • How can we explain relationships between organizations and other stakeholders based on UGC from digital platforms and online marketplaces and their impacts on engagement or disengagement?
  • How can we model adverse impacts of disruptive technologies like artificial intelligence, blockchain, internet of things based on usage behaviour or UGC?
  • How can we explain user behaviour and impacts based on data derived out of sensor-based data like wearables or other smart technologies used at home?
  • How can we explain community driven behaviour for information and misinformation propagation, cascade and changes to the ecosystem?
  • How can we model determinants of information quality, misinformation or disinformation based on UGC, social networks, and user attributes?
  • How can we model computationally derived attributed of images and videos to study consumer engagement and interaction processes, and outcomes?
  • How can theories be developed to explain grand socio-political problems and challenges of like pandemic management, sustainable development goals, political harmony, etc?
  • How can methods of NeuroIS and facial recognition be used to explain individual and group level behaviour like personality traits and socio-political behavioural inclination?
  • How can multi-modal data analysis be used to create knowledge surrounding the process and impacts of use of emerging smart technologies?