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Research Group "Diginomics – Digitalisation, Economy & Society"

Matej Meza
Matej Meza
Matej Meza
Matej Meza
Matej Meza
Matej Meza
Matej Meza

Research Group "Diginomics – Digitalisation, Economy & Society"

The Research Group "Diginomics – Digitisation, Economy & Society" is part of the Faculty of Business Studies and Economics at the University of Bremen and investigates timely research questions related to the digitalisation of labour, capital, and product markets. Twelve projects study topics related to ethical, socio-political, occupational psychology, economic, and policy relevant research questions with a focus on digital markets. Research questions related to the blockchain, digital finance, artificial intelligence, and platform economics will be investigated. To enable PhD candidates to generate high-quality research output, they will learn innovative methods (e.g. programming self-learning algorithms) and connect them with various applications. Moreover, they will obtain a solid knowledge of state-of-the-art empirical research methods. PhD candidates present their research during an internal colloquium, in which the project leaders participate, as well as at international conferences. Additional resources are available for these purposes. The internal colloquium is complemented by a seminar series, where national and international scholars present their research. The results of the research projects will be published in national and international journals. PhD candidates are expected to finish their doctorate within 3,5 years, and will be supported by additional measures at the faculty and university level.

The Projects

Project Leader: Prof. Dr. Maik Eisenbeiß
Outline:“Okay, Google, what’s the time?”, “Siri, play my favorites!” or “Alexa, what's in the news?” is what they say in many households nowadays. While digital voice assistants have mainly been used for daily routines so far, experts predict that the technology will dissolve into many more parts of life in the future. For example, according to an international study of the consulting firm Capgemini, 40 percent of consumers can imagine even today that they will use digital voice assistants for making their purchases instead of visiting an online shop in the future. Such a development may provoke extensive changes in the so-called customer journey, i.e., the buying decision process of consumers. Theoretically, a digital voice assistant can take over many tasks within a buying decision process. The project will empirically explore to what extent consumers are really willing to delegate their tasks and decisions within their customer journey to digital voice assistants — and thus to abandon learned or typical behavioral buying patterns.
Project Leader: Prof. Dr. Dirk Fornahl
Outline:The project will first take a broad approach in identifying the level of implementation and the potential needs and starting points for using digitisation in business development agencies. Later on, the focus lies on changes in innovation processes of firms and the monitoring of regional innovation systems with the help of digital technologies. The objectives of the project are to develop approaches and implementation proposals for business development agencies to support the new innovation processes of companies and to identify ways in which they can identify developments in the regional innovation system faster and more efficiently by using digital technologies. Central to the project are the development and test of an exemplary digital tool which can be employed in business development agencies to monitor the developments of their regional innovation system. The main focus is on the analysis of structured data (eg patent data). In addition, an outlook will be given on how these analyzes can be extended to include unstructured data.
Project Leader: Prof. Dr. Jörg Freiling
Outline:Business incubators help entrepreneurs in developing their new business based on a tailored support infrastructure. However, what incubators need to provide physically and what they can offer via digitalized solutions is still unclear. This project is aware that there are certain services which cannot be easily provided digitally (e.g. individualized consultation) but raises the question how far incubators may benefit from digitalization when designing their programs and what the enablers and obstacles of digitalization of incubators may be. The project will identify current challenges of incubators to be addressed by digitalization, show how incubators can benefit from digitalization, explore incubators’ organizational competences required to exploit digital opportunities and identify enablers of and obstacles for incubators in integrating digital components into their organization.
Project Leader: Prof. Dr. Jutta Günther
Outline:The research project investigates the evolution of artificial intelligence (AI) technologies from a global perspective. Conceptually, the research draws upon innovation systems and technological systems approaches. The projects analyzes geographic specialization patterns in AI technologies in the US, China and Europe; it investigates the network structure in specific AI technologies in these regions; and it scrutinizes the relation between network position and performance of private network actors. The research applies social network analysis and exploits patent based indicators, bibliometric information as well as web-based resources.
Project Leader: Prof. Dr. Dr. h.c. Hans-Dietrich Haasis
Outline:In line with the digital challenge within the maritime industry the aim of the PhD project is to identify, to analyze and to evaluate the efficient economic allocation of free capacities in ocean shipping and port management by digital transformation from the point of view of different stakeholders. By this, the focus is on an improved digital communication and coordination between partners along the maritime transport chain as well as between different neighboring port locations. In this regard digital service innovations as well as new business models and cooperation arrangements for maritime business are illustrated and assessed.
Project Leader: Prof. Dr. Vera Hagemann
Outline:The introduction of new technologies into operational procedures involves the reorganization of existing processes, which results in the adaptation of hierarchical and group structures and areas of responsibility, resulting in a change in tasks, leadership and cooperation. In this connection, e.g. due to the creative leeway that has been gained, the motivation and well-being of the employees are to be illuminated, also taking into account interactions with, for example, the industry. It can also be assumed that increased self-control and a change of control mechanisms in the work processes will have an impact on the social norms in groups and on the relationships between managers and employees. Questions on these topics are answered by means of qualitative and quantitative methods in the context of problems posed by selected practical partners.
Project Leader: Prof. Dr. Lars Hornuf
Outline:Building on the blockchain technology Initial Coin Offerings allow firms to issue security tokens independent from banks and stock exchanges. The research project investigates the technological and economic advantages and disadvantages of Initial Coin Offerings vis-à-vis traditional security offerings via stock exchanges. In a second step, the research project studies fraud cases in Initial Coin Offerings. We will also analyze under which circumstances Initial Coin Offerings should be considered securities. The various projects rely on micro econometric and time series methods.
Project Leader: Prof. Dr. Torben Klarl
Outline:The ongoing process of digitization has not only far-reaching consequences for the labor market but also affects climate change: On the one hand, digitization may lead to a more efficient input of resources, on the other hand, digitization may also increase the total demand for energy which accelerates climate change. The aim of this project is to discuss the long-run growth and distribution effects of digitization from the background of ongoing climate change and labor market dynamics.
Project Leader: Prof. Dr. Kristina Klein
Outline:Chatbots describe a service guided by rules or artificial intelligence. Users can interact with a chatbot using a text-based chat interface or auditory methods. Chatbots can be found in various contexts, e.g., in service or help chats on websites (e.g., Amazon, Ryanair, Mildred for Lufthansa). An important context, in which chatbots are used frequently, is recruiting. According to a study of the recruiting consultancy Randstad, 82 % of job applicants believe that the ideal recruiter interaction is a mix between innovative technology (= chatbots) and personal, human interaction. Estimations predict that a chatbot could automate up to 80% of recruiting activities. This project will empirically investigate (1) how exactly and why chatbots deliver added value compared to traditional recruiting methods, and (2) which specifications of design parameters of chatbots have a positive influence on variables in a recruiting context (e.g., number and quality of applications, decreased duration of recruiting process).
Project Leader: Prof. Dr. Martin G. Möhrle
Outline:Blockchain technology has a high potential for making an impact on different industries. Many potential technological variants of blockchain technology have already been predicted, e.g. in terms of smart contracts or decentralized application platforms. A prominent application field for both technological variants may be the patent management of companies and other patenting organizations. In patent management, secrecy over the course of developing an invention plays a central role, as an invention has to be unknown to the world to be granted as a patent. This secrecy is often protected by non-disclosure agreements in particular for cooperation between companies or other organizations such as research institutes. At the same time and in contrast to the idea of secrecy, it is important to document the different outcomes and laboratory activities over the course of development, as this documentation could be helpful in legal cases of patent infringement. The project will address questions that arise: how many of the expectations regarding the blockchain technology can already be underpinned by reliable facts? How do experts from patent management deal with the new opportunities? Will there be standards developed for an inter-company exchange of secret information in patent management? How will the Blockchain technology change the traditional ways in patent management?

Project Leader: 

Prof. Dr. Georg Müller-Christ

Outline:

The research project investigates the extent to which the working and organisational cultures of companies are changing as a result of digitalisation and, above all, humanoid robotics. The project is based on a systemic approach and the goals are to identify fields of action and development which should support the management to enable an optimal handling of innovative technologies. The focus is on the "digital assistant" in the form of an AI and as a robot. The aim of digital assistance is to provide appropriate human support through the use of intelligent, adaptable technologies. This is intended to simplify the achievement of objectives and the processing of tasks in the professional environment. In this context, the question arises as to what influence and side effects a "digital assistant" has on leadership, organisation, communication and team dynamics in companies? The project works with the system constellation method in close cooperation with a practical partner from the field of AI and robotics development.

Project Leader: Prof. Dr. Thorsten Poddig
Outline:Cryptocurrencies like Bitcoin or Ethereum have been part of a new and alternative asset class for some years. This asset class of digital assets is highly volatile, independent from traditional asset classes like stocks or bonds and still very inefficient. This opens the possibility to test and to investigate existing capital market models and theories in a young and emerging asset class and thus, to draw conclusions for established asset classes. Since only a few findings have been published next to the technical perspective until now, the value added from a finance perspective is especially big and makes this field of research even more interesting.

Diginomics Brownbag

Research Group Diginomics - Digitalization, Economy, Society

03 April 12 pmRoom WiWi2 F4090Risk Simulations in Online Financial AdviceProf. Dr. Stefan Zeisberger
Unicersity of Zurich
Radbound University
10 April 12 pmRoom WiWi2 F4090Which Preferences Have Crowdworkers?
A Choice-Based Conjoint Analysis
Lisa Nagel
DFG Group Crowdsourcing as a New Form of Organizing Labor Relations
17 April 12 pmRoom WiWi2 F4090Democratizing Algorithmic Fairness, or Why Automated Decison-Making is PoliticalDr. Pak-Hang Wong
University of Hamburg
24 April 12 pmRoom WiWi2 F4090Smart Grids meet Average Consumers
An Experimental Study on the Behavioral Consequences of Flexible Energy Provision
Dr. Thomas Lauer
University of Cologne
08 May 12 pmRoom WiWi2 F4090Identifying Fraud in Initial Coin OfferingsTheresa Kück
Diginomics Graduate Group
15 May 12 pmRoom WiWi2 F4090Data Science and StatisticsPD Dr. Theo Berger
University of Bremen
22 May 12 pmRoom WiWi2 F4090The Race for Technological Leadership in Atificial IntelligenceMatheus Eduardo Leusin
Diginomics Graduate Group
Robotversity Management: The Potential of Human-Robotics-Teams in Tomorrow's Wolrd of WorkDenis Pijetlovic
Diginomics Graduate Group
29 May 12 pmRoom WiWi2 F4090Demystifying "Blockchain": Clearing up Common Misconceptions and MythsMichel Rauchs
Cambridge Centre for Alternative Finance
University of Cambridge
05 June 12pmRoom WiWi2 F4090Digitale Geldanlage: Money and ModelsProf. Dr. Stefan Mittnik
LMU Munich
12 June 12 pmRoom WiWi2 F4090Does Monetary Policy Matter for the German 'Hausmarkt'? Evidence based on ImmobilienScout24Prof. Dr. Torben Klarl
Diginomics Research Group
19 June 6 pmRoom WiWi2 F4090Learning from Social StreamsProf. Dr. Eirini Ntoutsi
Leibnitz University Hannover and L3S Research Center
26 June 12 pmRoom WiWi2 F4090Artificial Intelligence and Firm Growth - Catch-up processes of SMEs through integrating AI into the knowledge baseAlexander Kopka
Diginomics Graduate Group
How to Get Them to TalkHendrik Hinrichs
Diginomics Graduate Group
3 July 12 pmRoom WiWi2 F4090Design and Verification of Cyber-Physical Systems
Challenges and Recent Developments
Prof. Dr. Rolf Drechsler
University of Bremen and German Research Centre for Artificial Intelligence
10 July 12 pmRoom WiWi2 F4090New Competence Requirements in Organizations due to DigitizationMichèle Rieth
Diginomics Graduate Group
Max-von-Laue Straße 1, WiWi2
28359 Bremen
+49 (0)421 218 - 66 820
diginomics@uni-bremen.de

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