Archives For Conferences

AMCIS 2018 – Two Minitracks

Monday, December 18, 2017

I will be chairing the Unintended Consequences of Artificial Intelligence, Machine Learning and (Big) Data Analytics Minitrack (with Oyku Isik and Anna Sidorova) and Information Privacy in Firm-Customers and Firm-Employees Relationships Minitrack (with Caroline Lancelot-Miltgen and Oyku Isik) at the 24th Americas Conference on Information Systems (August 16th through 18th 2018) in New Orleans, Louisiana.

The overarching theme of next year’s conference is Digital Disruption.

I will be chairing the Business Analytics Management and Applications track (with Christian Janiesch and Barbara Dinter) at the 26th European Conference on Information Systems (June 26th through 28th 2018) in Portsmouth, UK.

The overarching theme of next year’s conference is Beyond Digitization – Facets of Socio-Technical Change.

I am serving as AE at Security & Privacy track at the 2017 International Conference on Information Systems (December 10-13, 2017) in Seoul, South Korea.

The theme of ICIS 2017 is Transforming Society with Digital Innovation.

I will be chairing the Big Data Analytics and Business Transformation track (with Barbara Dinter and Christian Janiesch) at the 25th European Conference on Information Systems ( June 5th through 10th 2017) in Guimarães, Portugal.

The overarching theme of next year’s conference is Information Systems for a smart, sustainable and inclusive world.

Mobile BI success

Monday, June 9, 2014

A paper on the topic of business intelligence success, co-authored with T. Peters, O. Isik, and H. Weigand: The Role of Mobile BI Capabilities in Mobile BI Success, has been presented at the 22nd European Conference on Information Systems (ECIS 2014) held in Tel-Aviv, Isreal. Abstract:

While IS success research has gained considerable attention within academia in the past, understanding its constituents and the relationships among them has also emerged within professional fields. Since extant inquiries on the relationships among IS success dimensions have produced equivocal findings, the need to address IS success in the context of specific technologies has been regularly highlighted. Within business intelligence (BI) field one such pervasive technology gaining considerable attention is mobile BI (m-BI).
Despite the recognized value that m-BI brings to firms, our understanding of the success of m-BI is limited. To address this gap, we conducted a quantitative study of key informants using m-BI employing multiple data collection methods to understand what are the key m-BI capabilities and other success dimensions being perceived as important by users, and how can they be assessed.
Our contribution to the BI and IT business value literature is twofold. Firstly, our results highlight the users’ perceptions about m-BI capabilities that are deemed important for increasing satisfaction with m-BI and its use. Secondly, while these capabilities have a relatively high explanatory power for user satisfaction, their power to explain m-BI use is found to be rather low, suggesting there are other unobserved organizational characteristics importantly affecting m-BI usage behaviour, thus calling for further investigation.