Management & Society

Digital Transformation

Digital Transformation

The research area "Digital Transformation" complements the study programs of Management, Communication & IT and Digital Business & Software Engineering respectively in the fields of applied research and development of practice-oriented solutions for digitization and their comprehensive integration into practice. We work on technical, social, organisational and individual aspects in an interdisciplinary way.

In the context of digital transformation, the secure, analytical handling of data, the interaction of people with technical systems, the design of new work environments, and the adaptation of work and production processes and their control in real as well as virtual worlds are essential for us.

 

Data & Analytics

Large amounts of data generated from a wide variety of data sources (e.g. IoT, etc.) can be used as a basis for decisions, improvement of products and processes and for the development of new business models. Data & Analytics deals with the storage, preparation, analysis and visualization of data using suitable system architectures.

  • Implementation of concrete projects and tasks in companies
  • Integration of the Internet of Things as an essential data source
  • Visualization of data (e.g. dashboards)
  • Application of modern tools (e.g. from the field of artificial intelligence, for decision making)
  • Further development of existing IT system architectures

IT Security & Privacy

IT security and privacy make a contribution to the secure handling of data and information systems, which are becoming increasingly relevant in the course of increasing digitalization.

  • Security of machine learning
  • Network security
  • Encryption technologies
  • Multimedia security

Technology Interaction & Innovation

Technology Interaction & Innovation deals with the interaction of people and technology in the professional and private environment. In the field of innovation research, the focus is on the methodology of Design Thinking.

  • Experience and usability of social and web-based services
  • Evaluation of the acceptance of assistance technologies
  • Study of trust in intelligent systems

Operational Excellence & Agile Governance

The improvement of business decisions and the establishment of stable processes in the company - taking into account rapidly changing technologies, frameworks and the regulatory environment - are essential design fields of operational excellence.

  • Internet of Things
  • Smart production
  • Data evaluation of large amounts of data
  • Audits
  • Compliance and IT governance of agile action

Next World of Work / Virtual & Augmented Reality

Next World of Work / Virtual & Augmented Reality unites different topics in the context of a changing world of work.

  • Creation and agility of jobs
  • Life-long learning
  • Talent diversity & innovativeness
  • Organizational design
  • Leadership
  • Innovative technologies e.g. Virtual Reality (VR) & Augmented Reality (AR)
Contact
Prof. Dr. Peter J. Mirski | Head of Department & Studies Bachelor's program Management, Communication & IT
Prof. Dr. Peter J. Mirski Head of Department & Studies

If you have any questions regarding this research area, please contact us:
digitaltransformation@mci.edu


Prof. Dr. Peter J. Mirski | Head of Department & Studies Bachelor's program Management, Communication & IT
Prof. Dr. Peter J. Mirski Head of Department & Studies
Assoz. FH-Prof.  Matthias Janetschek, PhD | Software Engineering Bachelor's program Digital Business & Software Engineering
Assoz. FH-Prof. Matthias Janetschek, PhD Software Engineering +43 512 2070 - 4331
 Magdalena Posch, BA MA MA | Assistant & Project Management Bachelor's program Management, Communication & IT
Magdalena Posch, BA MA MA Assistant & Project Management +43 512 2070 - 3524
Prof. Dr. Reinhard Bernsteiner | Information Systems & Smart Technologies Master's Program Management, Communication & IT
Prof. Dr. Reinhard Bernsteiner Information Systems & Smart Technologies +43 512 2070 - 3532
Prof. Dr. Dietmar Kilian | Digitalization & Sales Bachelor's program Business & Management
Prof. Dr. Dietmar Kilian Digitalization & Sales +43 512 2070 - 3533
Prof. Dr. Stephan Schlögl | Human-Centered Computing Bachelor's program Management, Communication & IT
Prof. Dr. Stephan Schlögl Human-Centered Computing +43 512 2070 - 3535
 Thomas Dilger, MA, BA | Senior Lecturer Bachelor's program Management, Communication & IT
Thomas Dilger, MA, BA Senior Lecturer +43 512 2070 - 3537
 Susann Kruschel, M.Sc. | Assistant & Project Management Bachelor's program Management, Communication & IT
Susann Kruschel, M.Sc. Assistant & Project Management +43 512 2070 - 3530
Prof. Dr. Pascal Schöttle | IT Security & Machine Learning Bachelor's program Digital Business & Software Engineering
Prof. Dr. Pascal Schöttle IT Security & Machine Learning +43 512 2070 - 4332
Mag. Aleksander Groth | Lecturer Bachelor's program Management, Communication & IT
Mag. Aleksander Groth Lecturer +43 512 2070 - 3523
Prof. Dr. Christian Ploder | Operational Excellence Bachelor's program Management, Communication & IT
Prof. Dr. Christian Ploder Operational Excellence +43 512 2070 - 3536
Prof. Dr. Teresa Spieß | Organizational Psychology & Change Management Bachelor's program Management, Communication & IT
Prof. Dr. Teresa Spieß Organizational Psychology & Change Management +43 512 2070 - 3525

Process Analysis and Data Model Preparation / Tiroler Rohre GmbH
Duration:
2019 - 2021

Project Lead:
FH-Prof. Dr. Christian Ploder

Description:
Industry and business are currently undergoing a significant transformation towards an automated and digitalized world. The challenges for manufacturing companies are manifold and include technical, economic, and sociological aspects. The Tiroler Rohrer GmbH is currently facing the challenge of carrying out a wall thickness optimization on one of the gravity die casting machines (machine 4), whereby the main focus will be on the tip end. The following reasons are given: - wall thickness at the tip end is still difficult to control - The simulation did not yield a clear result for control - peak wall thickness depends on too many parameters - Through automated measurement of the wall thickness profile for each pipe, new process data is available - By reading out all (available) process parameters, patterns between process parameters and wall thicknesses should be made visible.

ServiceBot: Investigating the Potential of Integrating Chatbots and Robotic Process Automation in Customer Service
Duration:
2022 - 2023

Description:
In a cooperation with World-Direct eBusiness Solutions GmbH (https://www.world-direct.at/), different possibilities of human-chatbot interaction in customer service scenarios are investigated. The aim is to explore the use of Natural Language Understanding (NLU) systems for various application contexts, and to investigate corresponding potentials for Robotic Process Automation (RPA). This includes the definition of practical use cases and the development of a proof of concept to test and evaluate these use cases.

Smart Inclusion - supporting the independence of people with disabilities using Smart Glasses
Duration:
2022 - 2023

Project Lead:
Magdalena Posch, BA MA MA

Team:
Michael Freudenthaler

Anna-Karina Sailer

Franziska Scheele

Description:
In the "Smart Inclusion" project, augmented reality is used in the form of smart glasses. It is evaluated to what extent these can be used by people with disabilities to strengthen their individual skills and resources for activities of daily living. The research process will be cooperated and supported by Lebenshilfe Tirol, which is a social institution that offers its residents the opportunity to live and work independently in shared apartments.

Prototypical Implementation of an intelligent tutoring system for introductory programming courses
Duration:
2022 - 2023

Project Lead:
Assoz. FH-Prof. Matthias Janetschek, PhD

Description:
The shortage of skilled workers in the field of software development is damaging competitiveness in Austria as a business location. For this reason, universities are targeting offerings at working professionals, often using blended learning concepts. This involves integrating online and face-to-face teaching in order to offer students increased flexibility. Although blended learning concepts have already proven to be effective, students are confronted with challenges arising from the online component of blended learning approaches on the one hand and the subject matter of programming on the other hand. An Intelligent Tutoring System that provides students with individualized, immediate, and instructive feedback is proposed as a solution.

Website Optimization and Social Media Strategy BKH St. Johann in Tirol
Duration:
2021 - 2022

Description:
The project aims to evaluate and optimize the current online communication policies at the district hospital BKH St. Johann in Tirol (https://www.khsj.at/). To this end, students from the MCI study programs Digital Business & Software Engineering and International Business & Management help improve the usability of the hospital's website and as well as its social media presence. Respective project tasks include formal usability tests, stakeholder analyses and the development of a social media strategy.

Game Over Eva(sion): Securing Deep Learning with Game Theory
Duration:
2019 - 2023

Project Lead:
FH-Prof. Dr. Pascal Schöttle

Team:
Florian Merkle, BSc MA

Description:
The project "Game Over Eva(sion): Securing Deep Learning with Game Theory" aims to protect deep learning classifiers against targeted attacks. Deep learning classifiers are not only popular in scientific research but are also more and more adapted to the daily life, as self-driving cars, smartphones, and digital personal assistants use these kind of algorithms. Unfortunately, recent research has shown that almost all deep learning classifiers are vulnerable to so-called evasion attacks. In an evasion attack, an attacker can slightly modify a benign object and by this achieves a misclassification with a very high probability. The robustness of deep learning classifiers to these attacks is an open problem. We will model the competition of an attacker who is able to launch an evasion attack and the defender who wants to train a deep learning classifier that is robust against such an attack with means of game theory. In a first step, we will analyze which concepts of other research areas, such as adversarial classification, can be translated to the domain of secure deep learning. Then, we will develop a game-theoretic model that captures all relevant aspects and dependencies between the attacker's and the defender's strategies. In the course of the project, we expect the first theoretically well-founded results on the achievable security of deep learning classifiers in the presence of evasion attacks. Furthermore, we will evaluate existing countermeasures against evasion attacks to gain insights about their optimality when facing a strategic attacker. Finally, we want to implement the key properties from out theoretical models in a practical deep learning classifier. We will compare our classifier against other state-of-the-art classifiers in terms of robustness against evasion attacks and accuracy on benign input objects. By this, we can validate if it is possible to make deep learning classifiers robust against evasion attacks. The expected results of the project will enable us to judge if deep learning classifiers are suitable for scenarios where an attacker has incentives to explicitly fool them, i.e., security-critical areas and widespread consumer products.

Secure Machine Learning Applications with Homomorphically Encrypted Data
Duration:
2021 - 2023

Project Lead:
FH-Prof. Dr. Pascal Schöttle

Team:
Martin Nocker, MSc

Carina Kollmitzer

David Drexel, BSc MSc

Description:
SMiLe examines the conditions under which solutions using homomorphic encryption are suitable for harnessing the potential of sensitive data for machine learning. The potential of the machine learning techniques is evaluated through two use cases, dealing with employee segmentation and predictive maintenance, respectively. SMiLe contributes to the establishment of a cooperative-creative ecosystem in which various actors interact trustingly, symbiotically, and independently and implement previously unimaginable solutions in which not only data protection and security are guaranteed, but also previously unused potential of data can be exploited. The project will extend existing platforms to provide solutions that enable the creation and use of machine learning models using homomorphically encrypted data.

Studie zum Nutzerverhalten bei AR/VR Streaming / Holo-Light GmbH
Duration:
2021 - 2022

Project Lead:
FH-Prof. Dr. Peter J. Mirski

Team:
Susann Kruschel, M.Sc.

Tobias Frühauf

Mag. Aleksander Groth

Assoz. FH-Prof. Matthias Janetschek, PhD

Luis Bollinger

Description:
In coordination with Holo-Light GmbH, the aim is to investigate the user behaviour of AR/VR streaming services by means of a two-part study. Specifically, the study is intended to answer the following question: Is there a demand for the streaming of AR/VR applications and the associated advantages (more computing power, increased security, support of different AR/VR devices, less effort for data preparation)? Within the scope of the present proposal, a two-part study with the following parameters is to be carried out: - Method: Desktop Research, Quantitative Survey, Qualitative Interviews Translated with www.DeepL.com/Translator (free version)

Traclink Data Analysis
Duration:
2018 - 2019

Project Lead:
FH-Prof. Dr. Peter J. Mirski

Team:
FH-Prof. Dr. Pascal Schöttle

Assoz. FH-Prof. Matthias Janetschek, PhD

FH-Prof. Dr. Reinhard Bernsteiner

Dipl.-Ing. Sarah Dörschlag, BSc

Description:
The Lindner company manufactures tractors for green, mountain and arable farming and vehicles for municipal services (Unitrac), which are already equipped with various sensors. These sensors are used to collect different vehicle data, which are stored on a server. From this data memory the data can be tapped and prepared for further processing. A uniform software structure, evaluation tools, apps and a user interface are missing for the analysis of the data. The company Lindner would like to achieve an optimization of the work process based on the analysis of the vehicle data, coupled with external data (e.g. weather forecast). This includes, among other things, automated driving, ploughing, snow removal with the help of GPS data, irrigation of plants (in viticulture), calculation of the required amount of road salt based on the weather situation, calculation of the actual consumption of road salt, etc. In winter 2018/19, special attention will be paid to the further data collection and processing of the actual amount of road salt in municipal applications. Thus, with the support of weather forecasts and GPS data, the amount of road salt should be predicted and optimized.

Heidelberg Laureate Forum - HLFF Inspiring Minds
Duration:
2020 - 2026

Project Lead:
FH-Prof. Dr. Peter J. Mirski

Team:
Susann Kruschel, M.Sc.

Arno Rottensteiner, BA

FH-Prof. Dr. Dietmar Kilian

Carina Kollmitzer

Yiting Jiang

Description:
Integration of various topics in the context of a changing world of work: * women‘s careers in mathematics and computer science * creation & agility of jobs, lifelong learning, talented diversity & innovativeness, innovative technologies, organizational design * ESCO european skills and competences framework Women in Technology - Education & Career

Smart Villages / Regionalmanagement Wipptal
Duration:
2020 - 2022

Project Lead:
FH-Prof. Dr. Christian Ploder

Team:
Lukas Heschl, BA MA

Description:
In the course of an Interreg project "SMART VILLAGES Wipptal" set up for this purpose, a common understanding for a regional portal is to be developed for the communities located in the region (northern South Tyrol with 12 communities and southern South Tyrol with 6 communities). The sub-goal offered by MCI is to survey the logical structure, usability, possible integration options and a specification of the communication platform for the future according to scientific findings and to elaborate it together with the stakeholders.


  • Ploder, C., Bernsteiner, R., & Dilger, T. (2020). Improving Decision Quality for Business Users Based on Cloud-based Self-Service Business Intelligence Tools. Journal of Cloud Computing and Data Science (CCDS), 1(1), 1-11. https://doi.org/10.37256/ccds.112020162
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  • Schlömmer, M., Spieß, T., & Schlögl, S. (2021). Leaderboard Positions and Stress—Experimental Investigations into an Element of Gamification. Sustainability, 13(12), 6608. https://doi.org/10.3390/su13126608
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  • Thalhammer, F., Schöttle, P., Janetschek, M., & Ploder, C. (2022). Blockchain Use Cases Against Climate Destruction. Cloud Computing and Data Science, 3(2), 22–38. https://doi.org/10.37256/ccds.3220221277
  • Brinkschulte, L., Schlögl, S., Monz, A., Schöttle, P., & Janetschek, M. (2022). Perspectives on Socially Intelligent Conversational Agents. Multimodal Technologies and Interaction, 6(8). https://doi.org/10.3390/mti6080062
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  • U Can't (re)Touch This - A Deep Learning Approach for Detecting Image Retouching (Aumayr & Schöttle, ICIAP 2022)
  • Testing the Instructional Design for Knowledge Nuggets Implementation (Ploder et al., LTEC 2022)
  • Chatbots for News Delivery - Investigations into Intrinsic Motivation and User Engagement (Köb et al., KMO 2022)
  • Digitalization of Supply Chains for improved Resilience - A Literature Review (Bernsteiner, VINC 2022)
  • Entrepreneurial Study Tours Rethought: A Framework for Designing Virtual Study Tour Experiences (Mirski et al., EDULEARN 2022)
  • The Influence of Gender Composition of Mentoring Relationships on Mentors’ and Mentees’ Eexpectations towards Academic Mentoring Progams (Mirski et al., EDULEARN 2022)
  • Leveraging STEM Career Paths through Role Model Innteraction (Kilian et al., EDULEARN 2022)
  • Mergers and Acquisitions - Elaborating Factors for Enterprise Interoperability in an ERP context (Ploder et al., HICSS 2022)
  • Keep on Running! An Analysis of Running Tracking Application Features and their Potential Impact on Recreational Runner's Intrinsic Motivation (Gute et al., HCI International 2022)
  • Cash in the trash? An Austrian perspective on mobile payment adoption (Dilger et al., EBEEC 2022)