Track Chairs

Sven Laumer, Professor, University of Erlangen-Nürnberg, Germany. Email:

David Agogo, Assistant Professor, Florida International University, USA. Email:

Jyoti Choudrie, Professor, University of Hertfordshire, UK. Email:


Track Description

IS Innovation Adoption and Diffusion

In 1989, when the technology acceptance model (TAM, Davis 1989) was developed computers were unfamiliar to many organizations. At that time, technologies were designed to automate administrative and transactional work typically by utilizing large enterprise systems. Now digital technologies are ubiquitous in every aspect of our societies, work, and lives. With an unrelenting pace of innovation, technology acceptance includes smartphones, social media, wearable devices, IoT, and digital agents (e.g., Siri and Amazon’s Echo), that are used in many new business and personal contexts. Organizations and consumers now face many new dilemmas, new questions, and new uncertainties. On the one side, individuals are challenged to adapt to the changes induced by the infiltration of digital technologies. They might feel a great uncertainty about these technologies and could have the impression that they are unable to deal with this development in both the private and the business world. On the other hand, individuals might use digital technologies to take advantage of the benefits provided to the individual or organization. Some of these heavy users are called ‘digital natives’ as they were born in a world that is used to information technology. Hence, a challenge to explain the adoption of these technologies has been diminshed. Nevertheless, these users of digital technologies might become addicted to their use inducing new challenges for individuals, organizations and societies. As an implication, Thomas Davenport concluded in his keynote at  the CIO symposium at ICIS 2015 in Fort Worth that “we need to begin preparing people for the impacts of these technologies”.

Digital technologies infuse and shape our daily lives, yet many of our core theoretical perspectives derive from the time when computers where new and unknown to many individuals, in general. Hence, this development provides scholarly opportunities to discuss new theoretical underpinnings and methodological approaches that require novel approaches to understand how individuals, organizations or societies adopt and use information technology. Therefore, we would also like to encourage contributions that use new methodological approaches (e.g. big data analytics) to study technology adoption, use and diffusion phenomena. Potential topics using conceptual, analytical, design-oriented, or empirical approaches include (but are not limited to as we also welcome additional IT implementation, adoption and diffusion research: 

  • Organizational adoption and use of digital technologies

  • Individual adoption, use, and discontinuance of digital technologies

  • Factors enabling or inhibiting acceptance and use of digital technologies

  • Positive and negative consequences of using digital technologies for both organizations and individuals

  • New theoretical perspectives on acceptance, use and diffusion of digital technologies

  • New methodological approaches to study acceptance, use and diffusion of digital technologies


Track Associate Editors

1. Roberta Bernardi, Lecturer, University of London, UK

2.  Jennifer Claggett, Assistant Professor, University of Virginia, USA

3. Mike Dinger, (tbc)

4. Nicole Haggerty, Associate Professor, Ivey Business School at Western University, Canada

5. Anand Jeyaraj, Associate Professor, Wright State University, USA

6. Stefan Koch, Professor, Johannes Kepler University Linz, Austria

7. Christian Maier, Assistant Professor, University of Bamberg, Germany

8.  Annette Mills, Associate Professor, University of Canterbury, New Zealand

9. Shaila M. Miranda, Associate Professor, University of Oklahoma, USA

10. Greta Polites, Associate Professor, (tbc)

11. Andrew Schwarz, Professor, Louisiana State University, USA

12. Heshan Sun, Professor, Clemson University, USA

13. Stefan Tams, Associate Professor, HEC, Canada

14. Verena Tiefenbeck, Research associate, ETH Zurich, Switzerland

15. Tim Weitzel, Professor, University of Bamberg, Germany