Grounded Computational Analysis: A Hands-On Approach to Analysing Digital Innovation

Research output: Conference Article in Proceeding or Book/Report chapterArticle in proceedingsResearchpeer-review

Abstract

As socio-technical processes related to digital innovation are increasingly connected and distributed across geographical, organisational, and temporal boundaries, the methods we use to study them must be adapted to accommodate the greater detail and scope of the phenomenon. Specifically, there is a need to operationalise methods for generating inductive theory of distributed digital innovation from digital trace data. An emerging stream of IS research on computationally intensive inductive theorising lays the groundwork for such methods. This paper builds on this foundation to develop a hands-on approach to operationalising grounded theorizing in computational analysis of digital trace data. The paper first conceptualises trace data of digital innovation as a new research context before articulating an approach to operationalising grounded theory in computational analysis of digital innovation. The application of the grounded computational analysis approach is then briefly
illustrated in the context of digital trace data from an online social network before possible directions for further research are laid out.
Original languageEnglish
Title of host publicationThirteenth Scandinavian Conference on Information Systems (SCIS2022)
Publication date2022
Publication statusPublished - 2022

Keywords

  • Digital Innovation
  • Socio-Technical Processes
  • Grounded Theorizing
  • Computational Analysis
  • Digital Trace Data

Fingerprint

Dive into the research topics of 'Grounded Computational Analysis: A Hands-On Approach to Analysing Digital Innovation'. Together they form a unique fingerprint.

Cite this