[AISWorld] ECIS 2024 Track: Innovative Research Methods - Call for Papers

[Werder, Karl]

Dear Colleagues,

Please submit your papers related to research methods (method development and applications) to our track onInnovative Research Methods (Track 22) at the 32nd European Conference on Information Systems (ECIS 2024), 13-19 June 2024, Paphos, Cyprus.

Submission Deadline: November 17, 2023
Notification to authors: February 28, 2024
Submission of revised papers: March 31, 2024

Track Description

Research methods in information systems (IS) are quickly evolving and new methods emerge that benefit from technological advances and richer data sources. These innovative research methods comprise new ways of data collection, processing, and analysis enabling new insights on digital artefacts and their relation to relevant social and technical constructs (Berente et al., 2018). They are well suited to study, for instance, digital innovation, digitalization, and other aspects of the digital economy by analyzing digital traces in connection with innovative digital technologies. Innovative research methods include text analytics (Zhou et al., 2018; Majchrzak et al., 2021), for instance, through natural language processing or topic modelling (Yang et al., 2022), collecting and analysing digital traces (Belanger & Crossler, 2019; Pentland et al., 2020), and online behavioral data (Müller et al., 2016), but also conducting large scale digital experiments (Somanchi et al., 2023) and simulations (e.g., agent-based modeling, NK models, etc.). These methods allow IS researchers to capture existing and novel constructs in order to answer novel research questions that IS scholars could not answer without such data and generate new theory (Berente et al., 2018).

This track aims to increase our understanding of IS phenomena (Yoo et al., 2010; Kohli & Melville 2019; Hund et al., 2021; Nylén & Holmström, 2015; Svahn et al., 2017; Werder et al., 2020)—such as digital innovation, online reputation, online behavior, or machine-human interactions,— through the application of innovative and computationally intensive methods. We invite scholars to submit their work on innovative research methods, for instance, when applying an innovative method in an existing research challenge, when advancing  computationally intensive methods, or when mixing innovative methods with more traditional techniques.

Topics of Interest

Potential topics include, but are not limited to:

    - Developing innovative research methods or method combinations
    - Measuring online reputation and product innovation using digital trace data
    - Using innovative research methods for exploring behavior, affect, and decision making in online innovation communities and digital collectives
    - Applying innovative research methods for investigating the use of digital innovation with digital traces
    - Predicting innovation outcomes based on machine-human interactions
    - Identifying and exploring micro-foundations of digital innovation
    - Understanding coordination in digital environments, e.g., through text analytics
    - Unpacking the mechanisms of digitization of innovation processes
    - Exploring the value captured via digital services and digital innovation
    - Quantitative or mixed-methods investigations into the evolution of digital infrastructures and digital innovation


Michael Zaggl, Aarhus University
Ann Majchrzak, University of Southern California
Karl Werder, University of Cologne