Products of Theorizing: Towards Native Theories of Emerging IT

Éditeurs invités

  • Nik Hassan, University of Minnesota Duluth
  • Suzanne Rivard, HEC Montreal
  • Ulrike Schultze, Southern Methodist University
  • Leslie Willcocks, London School of Economics and Political Science

Synthèse

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

Thèmes proposés

  • Use of theory generators (e.g., analogies, myths, models and metaphors) for understanding and guiding research of emergent phenomena such as surveillance capitalism, fake news, social media, or the performativity of big data and AI.
  • Constructing or formulating novel frameworks derived from or relevant to emerging technologies.
  • Adopting a genealogical lens to uncover the products of theorizing that have been instrumental in the theories that have become popular in the IS discipline (e.g., socio-technical, sociomateriality, imbrication).
  • Reviewing and analysing the foundations of core concepts of the IS field such as that of 'information,' 'system' and 'technology'.
  • Re-theorizing areas or subfields within IS (e.g., design science, data analytics, big data, AI) where native products of theorizing are sparse.
  • Problematizing the IS field (i.e., going beyond gap-spotting and borrowing theory from reference disciplines) to identify questions and challenges that the field of IS is uniquely qualified to address.
  • Inventing native original concepts in the IS field that will serve as foundations for the scientific IS research method and declare to the world, the field’s core concerns.
  • Exploring the role of scientific laws in IS research as a product of theorizing with relevance to emerging phenomena.
  • Unpacking products of theorizing (e.g., questions, models and frameworks) that uncover deep-seated assumptions about contemporary IS phenomena (e.g., symbols of value, solidarity, social structure, conflict and contradictions within a technology-driven society) that are especially relevant to emerging technologies.
  • Distinguishing between non-observable constructs from more observable concepts that are rarely discussed in IS research but form the mainstay of scientific studies.
  • Aggregating the statements, claims and propositions that have been made by a stream of IS literature and that are deemed most impactful on and relevant for contemporary users, organizations and society, to set the stage for the further progress towards native IS theory.