[AISWorld] CfP: ECIS2020 - Track: IS Innovation Adoption and Diffusion (organized by AIS SIGADIT)

[Sven Laumer]

Dear Colleagues,

We would like to invite you to submit your papers to the track "IS Innovation Adoption and Diffusion (organized by AIS SIGADIT)" at ECIS 2020, Marrakech, Morocco.

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 diminished. 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

More information: https://ecis2020.ma/ecis-2020-tracks/

Track Chairs

·        Sven Laumer, Friedrich-Alexander Universität Erlangen-Nürnberg, Germany

·        David Agogo, College of Business, Florida International University, Miami, FL USA

·        Monideepa Tarafdar, Lancaster University, Lancaster, U.K.

·        Christian Maier, University of Bamberg, Germany


Paper submission deadline: November 29, 2019

Acceptance notification: End of February, 2020

ECIS conference: June 15-17, 2020



Looking forward to your submission to our track at ECIS 2020.

Thank you and best regards,
Monideepa, David, Christian and Sven


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Prof. Dr. Sven Laumer

Schöller Endowed Professor (Chair) for Information Systems,
Digitalization in Business and Society

Institute of Information Systems Nürnberg (WIN) at the
School of Business, Economics and Society (WISO) at the
Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU)

M: sven.laumer at fau.de
W: www.digitalization.rw.fau.eu
T: +49 911 5302-96476
P: Fürtherstraße 248, 90429 Nürnberg, Germany