Studying Dynamics and Change with Digital Trace Data: A Systematic Literature Review

Franzoi, Sandro; Grisold, Thomas; vom Brocke, Jan

Research article in edited proceedings (conference) | Peer reviewed

Abstract

Digital trace data offer promising opportunities to study dynamics and change of various socio-technical phenomena over time. While we see a surge of empirical and conceptual articles, we lack a systematic understanding of why, how, and when digital trace data are or can be used to study dynamics and change. In this article, we present the findings of a systematic literature review to uncover common approaches, motivations, findings, and general themes in the existing literature. We systematically reviewed 40 studies that were published in premium outlets in the information systems field. Our review sheds light on (1) underlying purposes of such studies, (2) utilized data sources, (3) research contexts, (4) socio-technical phenomena of interest, (5) applied analytical methods, and (6) measures that are being used. Building on our findings, we point to several implications for research and shed light on avenues to advance this field in the future.

Details about the publication

PublisherAanestad M; Klein S; Tarafdar M; Han S; Laumer S; Ramos I
Book titleProceedings of the 31st European Conference on Information Systems
Page range1-16
Publishing companyAIS eLibrary
Place of publicationUnited States
StatusPublished
Release year2023
Conference31st European Conference on Information Systems (ECIS), Kristiansand, Norway
Link to the full texthttps://aisel.aisnet.org/ecis2023_rp/212/
Keywordsdigital trace data, dynamics, change, computational, process, temporal, literature review process theorizing, process research

Authors from the University of Münster

Franzoi, Sandro
Chair of Information Systems and Business Process Management (Prof. vom Brocke) (BPM)
vom Brocke, Jan
Chair of Information Systems and Business Process Management (Prof. vom Brocke) (BPM)