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Design Science Research Academy

Project Description

Students and doctoral candidates in Information Systems (IS) are repeatedly confronted with the task of implementing theoretical concepts in practice and evaluating them with users dur-ing their studies or doctoral work. In doing so, they often lack the methodological skill set. This is exactly where Design Science Research (DSR) provides support. DSR offers an important paradigm for conducting applicable and rigorous research about real-world design problems. DSR aims to generate prescriptive knowledge about the design of IS artifacts, such as soft-ware, methods, models, or concepts. DSR is a promising methodology that intends to gener-ate knowledge on the design of innovative solutions to real-world problems. As such, DSR is specifically useful in contributing to the solution of societally and practically relevant challeng-es. At the same time, matured methodological foundations are available today, specifically supporting publishing DSR research both at conferences and top-tier journals. DSR has be-come a permanent teaching component in many undergraduate and Ph.D. programs. The va-riety of materials, courses, and papers make it difficult to select high-quality materials. In addi-tion, there is the challenge of implementing these materials practically and in relation to one's own project. Thus, there is a lack of a uniform concept and a DSR curriculum. This is where we want to start with our project and create a well-thought-out DSR curriculum in the form of a "DSR Academy". This project aims to address these challenges by proposing to build the DSR Academy that will provide high-quality course materials for DSR. The DSR Academy will consist of several modules consisting of three components: (1) interviews with iconic authors from DSR, (2) interactive learning videos for self-assessment, and (3) hands-on DSR projects that enable the transfer of acquired knowledge into practice. Thus, the DSR Academy can be easily integrated into face-to-face classes and represents a unique knowledge collection to accumu-late knowledge around DSR and design knowledge generated in DSR projects and make it ac-cessible to others.

Design Science in Entrepreneurship

Project Description

Sustainability and digitization are two critical factors that are shaping the future of companies. It will be interesting to investigate, how they influence the innovation efficiency of an organization. Sustainable innovation includes green innovation, environmental innovation and eco innovation and is focused on creating technologies and services that are environmentally friendly, while digitization refers to the integration of digital technologies into various aspects of a business. First and foremost, sustainable innovation and digitization can improve a company's bottom line. By incorporating eco-friendly practices, companies can reduce costs and increase efficiency, while digitization can streamline processes, improve decision-making, and increase productivity. Furthermore, both sustainable innovation and digitization have the potential to create new revenue streams, through the development of innovative products and services if it is done in an efficient way. Currently, it remains uncertain whether companies that tackle both sustainability and the latest digital technology trends are able to achieve innovation efficiency and therefore establish long-lasting competitive advantages. One of the objectives of the research is to generate new scientific knowledge and added value for practice by examining the two factors of sustainability and digitalization in relation to innovation efficiency.

Driving Sustainability with Purpose: Unraveling the Role of Influencing Factors in Advancing Innovation Efficiency

Project Description

My research centers on the relationship between sustainability and innovation efficiency, with a focus on how companies can enhance their innovation processes while prioritizing environmental and regulatory factors. I explore the influence of government regulations, environmental resource-saving practices, and corporate sustainability initiatives on green innovation. By analyzing data from various industries, my work demonstrates that firms actively engaging in sustainability efforts, such as reducing pollution, conserving energy, and minimizing waste, achieve higher innovation efficiency. This leads to both improved competitive positioning and long-term success.
Another key area of my research examines sustainability reporting across regions, particularly comparing practices in China and the United States. Using advanced methods like topic modeling and sentiment analysis, I assess how companies communicate their sustainability efforts, highlighting regional and sector-specific differences in addressing climate risks and opportunities. My research provides valuable insights into how businesses can integrate sustainability into their core strategies, not only contributing to environmental well-being but also enhancing their innovation capabilities and market competitiveness.

Project Participants

Employee
Prof. Dr. Leo Brecht
- Supervisor
Professor - Technology and Innovation Academic Director MBA in Technology & Innovation - Technology and Innovation
Supervisor
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Employee
Dr. rer. oec. Daniel Knapp
- PhD-Student
PhD-Student
Prof. Dr. Martin Müller
- Co-Supervisor
Co-Supervisor

The vacancy: An investigative analysis of vacancies in Liechtenstein

Project Description

Liechtenstein has a culture of demolition. Many of the vacant buildings are demolished for socio-economic reasons and replaced by new buildings. Despite the fact that the cultural and historical buildings create identity, shape the view of a place and are existing resources. The predominant practice will be examined within the framework of this research project. The vacancies are understood as store of knowledge and as carrier of memories, stories and dreams. Vacant buildings hold a large pool of social, cultural and architectonical resources which have hardly been explored in Liechtenstein. From this I derive following research question: Where are vacant buildings in Liechtenstein, how are they characterized and what are their informal uses? In a first step, the vacancies are tracked down, documented and collected in a database. Then an investigative analysis is carried out to uncover what is hidden. A workshop and a publication will be held to exploit the results and raise awareness among the local population about how to deal with vacancies. The aim of the research project is to show the potential of vacancies as queered spaces.

Participating Institutions

Project Participants

Der Finanzsektor: Wohlfahrtsökonomischer Leistungsbeitrag und Herausforderungen für makroökonomische Stabilität

Project Description

Die Finanzkrise der Jahre 2007/2009 und die dadurch ausgelöste globale Rezession stellt die Wirtschaftswissenschaft vor neue Herausforderungen. Es zeigt sich, dass die Funktionsweise der global liberalisierten Finanzmärkte und deren Destabilisierungspotential in Bezug auf die Realwirtschaft nicht hinreichend erforscht ist. Es ist erforderlich, die Krise wissenschaftlich aufzuarbeiten. Die Konjunkturforschungsstellle Liechtenstein (KOFL) möchte im Rahmen des Forschungsprojekts hierzu einen Beitrag leisten und dabei einen liechtensteinspezifischen Standpunkt einnehmen. Die Forschungsergebnisse sollen auch die Grundlage wirtschaftspolitischer Empfehlungen bilden.

Keywords

Public finance Economic research

Project Participants

Employee
Prof. Dr. Carsten-Henning Schlag
- Principal Investigator
Principal Investigator
Employee
Dr. habil. Kersten Kellermann
- Project Collaborator
Project Collaborator

Publications

The influence of the vernacular: applied principles in contemporary architecture of hot climates

Project Description

Nowadays, new constructions are often built without considering the different physical and cultural conditions of their locations. This not only affects the energy consumption during the building´s lifespan but also the comfort and life quality of its users. Therefore, the design should incorporate contextualized building solutions depending on their location. Such solutions can be seen in many cases in vernacular architecture. The purpose of this research will be to assess the extent of vernacular techniques adaptation in contemporary architecture in hot climates. We will study the social factors that affect the decision-making process in their application. The research will focus on two regions in Mexico with arid and tropical climates, where we will analyze multiple case studies with a mixed-methods approach. We aim to display the social and ecological benefits of applying vernacular principles in today's architecture.

Keywords

Sustainability Traditional Construction Passive design quality of life

Project Participants

Employee
Dr. sc. Rodrigo Alba Krasovsky MSc Arch
- PhD-Student
PhD-Student
Employee
Prof. Dipl.-Arch. ETH/SIA Dietrich Schwarz
- Supervisor
Professor - Sustainable Design Academic Director BSc AR - Liechtenstein School of Architecture
Supervisor
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Dr. Carlos Estuardo Aparicio Moreno
- Co-Supervisor
Co-Supervisor

Der Einfluss der Corporate Gorvernance auf die strategische Veränderungsfähigkeit von unternehmergeführten Firmen in der Wachstumsphase

Project Description

Das Projekt verfolgt drei spezifische Forschungsziele. Zunachst soll in Erfahrung gebracht werden, welche Corporate Governance-Strukturen und -Prozedere in unternehmergefuhrten Unternehmen eingesetzt werden. Im zweiten Schritt soll herausgefunden werden, welche Motive mit diesen Stukturen und Prozedere verknupft sind. Schliesslich soll untersucht werden, welchen Einfluss diese Corporate Governance-Strukturen auf die Veranderungsfahigkeit in den Unternehmen haben.

Relevance to Liechtenstein

Das Projekt hat es möglich gemacht, vertiefte Einblicke in die Corporate Governance von unternehmergeführten Unternehmen aus dem Fürstentum Liechtenstein sowie dem Rheintal zu erhalten. Das heisst, es wurde ermittelt, welche Corporate Governance-Strukturen in diesen Unternehmen implementiert und welche Motive mit der Einführung dieser Strukturen verbunden sind. Diese Erkenntnisse erlauben eine kritische Auseinandersetzung mit den präskriptiven Annahmen der Theorie und führen zu einem besseren Verständnis von Corporate Governance in unternehmergeführten Unternehmen.

Scientific, Economic and Societal Impact

Das Projekt vermag insbesondere dem jungen Forschungsgebiet Corporate Governance in unternehmergeführten Firmen neue Einblicke zu verleihen. Bis dato gibt es nur wenige Arbeiten in
diesem wichtigen Forschungsfeld. Insofern besteht ein hoher Bedarf und es ist ein hoher Nutzen für die Entwicklung des Themas zu erwarten.
Das Forschungsprojekt zur Corporate Governance wird als Projekt verstanden, welches über den wissenschaftlichen Bereich hinausgeht. Die Erkenntnisse und insbesondere der geplante Praxisleitfaden sollen daher nicht nur für Wissenschaftler, sondern vor allem für Unternehmer im Rheintal gedacht sein, um eine erhöhte Sensibilisierung für die Bedeutung von Corporate Governance im
Allgemeinen sowie in Bezug auf die strategische Veränderungsfähigkeit bedingt durch Unternehmenswachstum im Besonderen zu ermöglichen.
Es wird erwartet, dass die Untersuchung einen hohen Nutzen bringt für Praktiker, Berater oder andere Personen, die sich mit dem Thema auseinandersetzen und den Praxisleitfaden anwenden möchten.
Darüber hinaus können auch Dozenten die Erkenntnisse nutzen und in die Lehre mit einbeziehen.

Keywords

Company growths

Democratization of organizations in the Alpine Space (DemocrAlps)

Project Description

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Project Participants

Prof. Dr. Stefan Seidel
- Project Collaborator
Project Collaborator

Defining the Ill-defined - Exploring the Behavioral Underpinnings of Charismatic Leadership

Project Description

While being a popular research topic, the construct of charismatic leadership still lacks a clear behavioral definition that explains how outstanding leaders are able to construct the charismatic aura that often surrounds them. Hitherto, research mostly relied on questionnaire measures, assessing only the outcomes of charismatic leadership. This dissertation aims to overcome the current endogeneity problem of charisma by employing objective measures of leaders' charisma and experimental settings to assess leaders' charismatic potential, i.e. whether they are able to elicit the intended cognitive, psychophysiological, and behavioral responses in followers. Firstly, behavioral codings of verbal and nonverbal behaviors actual leaders employ will be gathered and related to real world outcomes via the pathway of followers' impressions. Secondly, these behaviors will then be utilized to stimulate psychophysiological reactions in followers, aiming to confirm that charismatic leader behaviors act as signals, transferring emotions like enthusiasm from leaders onto their subordinates. Thirdly, it will be assessed whether displaying such expressive signals impact followers' performance, which would lend strong evidence for the signaling approach to charisma. Defining a set of verbal and nonverbal behaviors leaders can easily employ to display charisma would be of particular significance for entrepreneurial leaders, facilitating them to gain a footing in the complex global market environment.

Keywords

Communication Charismatic Leadership Endogeneity

Deep Learning Applications in Enterprise Data Science

Project Description

Deep Neural Networks (DNNs) are a powerful machine learning tool, loosely inspired by the structure of the human brain. Improvements in the field of DNNs, combined with an increase in computational power and available data, played an essential part in the recent rise of artificial intelligence applications. So far, the impact of deep learning has been most prevalent in a few specific areas, like image recognition, text- and speech processing. However, DNNs ability to handle large amounts of structured as well as unstructured data give them a considerable potential to create new value adding solutions in data analytics for enterprises. Big data initiatives and the rise of mobile and internet of things technologies leave companies with an enormous amount of raw data. DNNs seem to be the ideal technology to turn these data into useful knowledge.

This dissertation project uses action design research to explores the potential and challenges of applying deep learning methods for data analytics in enterprises. It will explore how deep learning methods can create new ways of analyzing enterprise data and how they can lead to value adding applications that make use of these data.

Keywords

Data analytics Machine Learning Neural Networks

Project Participants

Employee
Dr. rer. oec. Marcus Basalla M.Sc.
- PhD-Student
PhD-Student
Employee
Prof. Dr. Jan vom Brocke
- Supervisor
Visiting Professor - Information Systems and Process Science
Supervisor
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Prof. Dr. Michalis Vlachos
- Co-Supervisor
Co-Supervisor
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