Conference Agenda

Overview and details of the sessions of this conference. Please select a date or location to show only sessions at that day or location. Please select a single session for detailed view (with abstracts and downloads if available).

 
Session Overview
Session
IT-Strategie & -Management 2
Time:
Monday, 09/Mar/2020:
3:30pm - 5:00pm

Session Chair: Nils Urbach
Session Chair: Paul Drews
Location: S22

Presentations

Quantitative Analysis of the Effects of Different Carbon Tax Levels on Emissions and Costs of Data Centers

Sascha Bosse, Abdulrahman Nahhas, Klaus Turowski

Otto-von-Guericke-Universität Magdeburg, Germany

Emissions of greenhouse gases (GHG) have to be reduced to limit the impacts of climate change. For that reason, the introduction of carbon taxes has been discussed or performed in many countries. Data centers are accounting for an increasing fraction of GHG emissions, so that carbon taxation may lead to reduced emissions. In this paper, the effect of different carbon tax levels is analyzed in experiments based on real-world workload from 20 data centers hosting enterprise systems. From the results, it can be concluded that optimization potential can be addressed with server consolidation, limiting the additional costs to be expected. Additionally, the used power mix and the depreciation period have a strong influence on the additional cost as well as the optimization potential regarding emissions.



All Roads Lead to Burning Rome: Towards a Conceptual Model of IT Project Success

Jan Jöhnk1, Moritz Hartmann2, Nils Urbach3

1Project Group Business and Information Systems Engineering of the Fraunhofer FIT, Germany; 2University of Bayreuth; 3FIM Research Center, University of Bayreuth

Despite the maturity of IT project management in research and practice, a consistent understanding of IT project success (ITPS) and its constituents is still absent. The main objective of this paper is to ascertain the important constructs of ITPS and their interdependencies to overcome the absence of a comprehensive theoretical framework. Based on an initial literature search and six expert interviews, we built and validated a conceptual model consisting of critical success factors, contingency factors, and two success dimensions, whose interdependencies are illustrated by four propositions. Moreover, we extracted 67 critical success factors in ten categories from a structured literature review to harmonize the multitude of success factors stated in literature. The proposed model serves as a starting point for future research, which should focus on the detailed quantitative-empirical investigation of the cause-effect relationships and the contingency factors to validate our propositions and provide a generally accepted theory of ITPS.



Empowering Data Consumers to Work with Data: Data Documentation for the Enterprise Context

Clément Labadie, Markus Eurich, Christine Legner

Faculty of Business and Economics (HEC), University of Lausanne, Switzerland

Enterprises that are engaging in digital transformation need to empower an increasing number of data consumers (sometimes referred to as “data citizens”) to work with data. A prerequisite is data documentation – data assets should be inventoried and well-described to facilitate data selection by non-data experts, who need to both find and understand them. This research paper proposes a reference model for data documentation in the enterprise context. It was developed in collaboration with more than 20 large enterprises, following a Design Science Research process. Compared to existing metadata standards that contain flat lists of metadata attributes, the reference model organizes metadata objects in logical and physical layers and features views dedicated to usage and governance contexts. It thereby improves maintenance and consistency in data documentation, when dealing with hundreds of interdependent data resources, and allows to express inherent relationships between metadata attributes.



Carrot or Stick: Overcoming Silos in Enterprise Architectures

Marcel Pascal Cahenzli

Universität St.Gallen (HSG), Switzerland

Silo mentality is a phenomenon describing the aversion of sharing e.g. talent, data, and know-how beyond one’s immediate functional and hierarchical environment. Thereby, these silos are mental constructions, which are reflected in procedures and therefore information systems. In an economic environment that is information-driven, getting business units to share information across these organizational silos is highly relevant. This paper uses an enterprise architecture management (EAM) view on silos, where some actors (e.g. architects) guide other actors (e.g. project managers) towards contributing to enterprise-wide goals. To reach desired outcomes in EAM, compliance with enterprise architecture guidelines should be reached. For this setting, the present study investigates drivers for information sharing policy compliance. It combines General Deterrence Theory with Compliance Theory and employs an online experiment. The results reveal that sanctions, rewards, and their interaction significantly affect compliance, whereas the certainty of these sanctions or rewards to materialize did not.