Digital Trace Data Research in Information Systems

Foundations, Methods, and Applications

de

,

Éditeur :

Springer


Paru le : 2026-02-05



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
210,99

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

This book provides a comprehensive overview of digital trace data research in information systems and reflects on its idiosyncrasies throughout all phases of a research project. It delivers important advice on how to construct, manage, and execute research with digital trace data, it clarifies the complex relationship of digital trace data to the reality it purportedly represents, it helps devising research programs that systematically explore key phenomena, and it assists in how to leverage insights from digital trace data for theory building.
To this end, the book is organized into three interrelated parts. The first part focuses on the foundations of digital trace data research. It offers guidance on how to design and manage research projects that employ digital trace data and how it can be employed for theory development. The second part focuses on methods for digital trace data research and covers computational research methods and analysis techniques that support sense-making of digital trace data. Eventually, the third part presents selected examples for applications of digital trace research. It not only offers empirical insights into emerging phenomena but also showcases and reflects on the use of digital trace data.
While the main target audiences for the book are researchers and graduate students that want to learn about or aim to apply digital trace data research in their own projects, professionals in industry may also apply digital trace data research to improve their understanding of how their organization works and implement improvements accordingly.
Pages
323 pages
Collection
n.c
Parution
2026-02-05
Marque
Springer
EAN papier
9783032054968
EAN PDF
9783032054975

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
26757 Ko
Prix
210,99 €
EAN EPUB
9783032054975

Informations sur l'ebook
Nombre pages copiables
3
Nombre pages imprimables
32
Taille du fichier
22804 Ko
Prix
210,99 €

Bastian Wurm is an assistant professor and research group leader at the Institute for Digital Management and New Media at LMU Munich School of Management. His group investigates various topics related to process and algorithmic management. His dissertation entitled “Organizational Complexity: Insights from Digital Trace Data Research” was awarded the Stephan Koren-Award for outstanding dissertations by WU Vienna.

Jan Mendling is the Einstein Professor of Process Science at Humboldt University, Berlin, Germany, and adjunct professor with Vienna University of Economics and Business, Austria, Principle Investigator at the Weizenbaum Institute, Berlin, and Co-Founder of Noreja Intelligence GmbH. His research interests include business process management and information systems. He has published more than 500 research papers and articles. He is one of the founding editors-in-chief of Process Science and Chair of the Steering Committee of the International Conference on Business Process Management.

Suggestions personnalisées