Transfer projects 

Transfer projects are regularly carried out at the Institute of Information Systems to bring research results into the regional economy and society and to enable innovation. The content of these transfer projects, which is based on the research focus (data, innovation, processes, security), covers topics like digitalization, business process management, big data, data science, machine learning, AI, and process mining. The projects’ scope and duration and participation by members of the Institute of Information Systems vary depending on the projects’ requirements and the topics’ complexity.

The following overview shows a selection of transfer projects undertaken by the Institute over the last few years.


Image recognition for quality assurance in production

This project implements an image-recognition method for detecting defective products. The main challenge is to use a small amount of data to achieve 99 percent accuracy.

Company: confidential
Branch: confidential
Period: 2020-2021
Field of research: Data (deep learning)

Smart Waste Collection

In this project, waste containers were equipped with Internet of Things (IoT) sensors to monitor their filling level. The real-time analysis of the sensor data facilitates planning of trips to empty the containers. As a result, savings in kilometres driven reached 40 percent.

Company: confidential
Industry: Waste management
Period: 2019-2021
Field of research: Data (Big Data analytics)

Virtual reality for training assembly processes

This project developed a virtual training and assembly environment that was easy to use and that facilitated application of the knowledge learned in the training environment to the real world.

Company: Hilti
Branch: Construction
Period: 2019-2020
Field of research: Virtual reality

Large-scale Pattern Mining

In this project, large amounts of data are examined to find patterns (with a focus on time series) that were then automatically evaluated and prioritized using various metrics. The goal is to enable people to perform more targeted, promising, in-depth analyses.

Company: Wireframe AG, Ruggell
Branch: IT  
Period: 2018-2021
Field of research: Data (Big Data analytics)

Analysis of data on web use

This project analysed data from several companies’ website visitors using machine learning methods that went beyond such traditional analysis tools as Google Analytics. Several possibilities were identified for categorizing users, detecting problems, and improving the website.

Company: confidential
Branch: confidential
Period: 2017-2018
Field of research: Data (Big Data analytics)

Liechtenstein Moments

Liechtenstein’s citizens document their lives in words and pictures on social networks every day. These posts are modern documents of contemporary events. In this project, Twitter, Instagram, and Facebook were searched for publicly accessible posts that were tagged with keywords related to Liechtenstein. These posts were collected, evaluated, and exhibited in a digital special exhibition at the Liechtenstein National Museum.

Company: Liechtenstein National Museum, Vaduz
Branch: Culture  
Period: 2013-2015
Field of research: Data (Big Data analytics)

Digitalization of incoming mail and further processing

At the time of this project, digitalization was making its way into our business lives. Postal traffic in particular could benefit from this development to optimize its business processes. The objective of the project was to determine the potential economic benefits of digitalising postal traffic for the companies in our region. To this end, expert representatives of nine large Liechtenstein companies were asked: What benefits does digitalization of incoming mail promise? What are the risks? What are their companies’ specific requirements? What would innovative organizational and technical solutions look like? As a result of these interviews, sixteen factors were identified that would have significant influence on the success of digitalizing incoming mail. These factors were incorporated as requirements in the design of a corresponding solution for Liechtenstein Post.

Company: Liechtensteinische Post AG, Vaduz
Branch: Postal traffic/logistics   
Period: 2011-2012
Field of research: Processes

Enterprise Content Management (ECM) in Public Administration

The introduction of enterprise content management (ECM) systems has often been studied in information systems research, especially in corporate application contexts. However, few empirical studies have been conducted in public administration. The goal of the cooperative project with the Liechtenstein State Administration was to identify the challenges that were associated with the introduction of ECM in public administration. This study, which lasted more than eighteen months, identified fifteen success factors, categorized as cross-office  (e.g. information and communication) or specific to a particular office (e.g. digitalization of paper archives).

Company: Liechtenstein National Administration, Vaduz
Branch: Public administration  
Period: 2009-2010
Field of research: Enterprise Content Management

Culture in Business Process Management

Successful process management involves taking organizational culture into account and actively managing it. However, the role of culture in an organization’s success is often underestimated. In this research project, cultural aspects of business process management were made tangible by developing an online tool that made it possible to measure a company’s cultural fitness for BPM. The tool has since been successfully used by various companies and industries in the region and abroad.

Company: several
Branch: several
Period: 2012 - ongoing
Field of research: Processes

Process Development Controlling

This cooperative project between Ivoclar Vivadent and the Institute of Information Systems at the University of Liechtenstein designed a scheme that would provide a basis for the economic evaluation of potential and completed organizational projects in support processes. Both qualitative and quantitative criteria were used, and the identification and evaluation of these criteria were based on scientific literature as well as workshops and interviews at Ivoclar Vivadent.

Company: Ivoclar Vivadent AG, Schaan
Branch: Dental industry
Period: 2013
Field of research: Processes

Talent Management

Talent management is one of the central processes in every organization’s human resources department. The goal of the cooperative project with Ivoclar Vivadent AG was to develop the organization’s talent management process globally. After the organization’s existing talent management practices were analysed,, a global talent management process was created and implemented.

Company: Ivoclar Vivadent AG, Schaan
Branch: Dental industry
Period: 2011
Field of research: Processes