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The importance of agile methods has increased in recent years, not only to manage software development processes but also to establish flexible and adaptive organisational structures, which are essential to deal with disruptive changes and build successful digital business strategies. This paper takes an industry-specific perspective by analysing the dissemination, objectives and relative popularity of agile frameworks in the German banking sector. The data provides insights into expectations and experiences associated with agile methods and indicates possible implementation hurdles and success factors. Our research provides the first comprehensive analysis of agile methods in the German banking sector. The comparison with a selected number of fintechs has revealed some differences between banks and fintechs. We found that almost all banks and fintechs apply agile methods in IT-related projects. However, fintechs have relatively more experience with agile methods than banks and use them more intensively. Scrum is the most relevant framework used in practice. Scaled agile frameworks are so far negligible in the German banking sector. Acceleration of projects is apparently the most important objective of deploying agile methods. In addition, agile methods can contribute to cost savings and lead to improved quality and innovation performance, though for banks it is evidently more challenging to reach their respective targets than for fintechs. Overall our findings suggest that German banks are still in a maturing process of becoming more agile and that there is room for an accelerated adoption of agile methods in general and scaled agile frameworks in particular.
The importance of agile methods has increased in recent years, not only to manage IT projects but also to establish flexible and adaptive organisational structures, which are essential to deal with disruptive changes and build successful digital business strategies. This paper takes an industry-specific perspective by analysing the dissemination, objectives and relative popularity of agile frameworks in the German banking sector. The data provides insights into expectations and experiences associated with agile methods and indicates possible implementation hurdles and success factors. Our research provides the first comprehensive analysis of agile methods in the German banking sector. The comparison with a selected number of fintechs has revealed some differences between banks and fintechs. We found that almost all banks and fintechs apply agile methods in IT projects. However, fintechs have relatively more experience with agile methods than banks and use them more intensively. Scrum is the most relevant framework used in practice. Scaled agile frameworks are so far negligible in the German banking sector. Acceleration of projects is apparently the most important objective of deploying agile methods. In addition, agile methods can contribute to cost savings and lead to improved quality and innovation performance, though for banks it is evidently more challenging to reach their respective targets than for fintechs. Overall our findings suggest that German banks are still in a maturing process of becoming more agile and that there is room for an accelerated adoption of agile methods in general and scaled agile frameworks in particular.
In this exploratory article, we consider the future of Deutsche Bank and Commerzbank and develop a new approach to the topic: instead of a merger of DB and CB we propose to consider a partial merger of the IT and related back office functions in order to create the basis for an Open Banking platform in Germany. Such a platform would act as a cross-institutional infrastructure company in which the participating banks develop a common data and IT platform (while respecting the data protection regulations). Significant parts of the transaction processes would be pooled by the institutions and executed by the Open Banking platform. Moreover, the institutions remain legally independent and compete with each other at the level of products and services that are developed and produced using just this common data and IT platform – “national champions” would not be created.
But such an “Open Banking Platform” could become even the nucleus of a European Banking platform that could be competitive with existing global data platforms from the USA and China which are already offering financial services and are likely to expand their offerings in the foreseeable future. The proposed model of an open data platform for banks prevents the emergence of national champions and supports the main goal of the banking union: creation of a financial system, in which single banks can be resolved without provoking a systemic crisis and forcing taxpayers to finance bailouts.
Artificial Intelligence (AI) will be one of the key technologies driving the future competitiveness of numerous industries. However, the term "AI" is defined in a variety of ways. AI could be understood as an umbrella term for technologies and systems that carry out tasks otherwise only executable with human intelligence. This requires specific skills that fall into the broad categories of "Sense", "Comprehend", "Act" and "Learn". Through machine learning, modern AI systems can be trained to adapt to changes in their environment, self-optimise and hence achieve better results than earlier versions of AI systems that were based on clearly defined, pre-programmed rules. Based on AI methods, rational and autonomous agents can be developed that collect and analyse relevant information from their environments, come to optimal conclusions based on certain performance parameters and eventually perform physical actions (e.g. robotics) or virtual actions (e.g. chat bots). Machine learning algorithms ensure that the information base of the system is continuously updated so that performance of the system is optimised in an iterative process.
Digital platforms have become an important part of the digital economy by facilitating transactions between large numbers of users and by fostering innovation on collaborative platforms. In combination with technical platform services, some platform operators have managed to create powerful ecosystems that create network externalities and benefit from economies of scale and economies of scope. It is striking that, due to the specific economic drivers of the digital infrastructure, platform-based or platform-related services are dominated by a select number of global players. Most of the global platform operators are headquartered in the US, including Alphabet, Amazon, Apple, Meta and Microsoft, also known as the “Big 5”. Some are located in Asia (e.g. Alibaba, Tencent). In Europe there are only a limited number of platform operators with a small market share.
Much research has been conducted on the emergence and characteristics of platforms, network externalities and platform competition. However, there has been very little research on whether or not one can idķentify common features that might explain the success of Big Tech. The following article focuses on an analysis of the Big 5 based on their strategies and development paths. The comparison reveals certain commonalities, from which several conclusions can be drawn regarding the success factors of the Big 5. These insights could be helpful for business decision-makers when shaping digital strategies. But also policy makers, especially in Europe, could benefit from these lessons learned to improve the European technology ecosystem.
In the context of the upcoming Brexit, a relocation of the clearing of euro-OTC derivatives for EU-based firms is the subject of controversial discussion. The opponents of a relocation argue that a relocation would cause additional costs for market participants of up to USD 100 bn over a period of 5 years. This paper shows that this cost estimate is fairly unrealistic and that relocation costs would amount to approximately USD 0.6 bn p.a., which translates to cumulative costs of around USD 3.2 bn for a transition period of 5 years. In light of the strategic importance of systemically relevant CCPs for the financial stability of the eurozone, the potential relocation costs should not be a decision criterion.
The European Commission has published a Green Paper outlining possible measures to create a single market for capital in Europe. Our comments on the Commission’s capital markets union project use the functional finance approach as a starting point. Policy decisions, according to the functional finance perspective, should be essentially neutral (agnostic) in terms of institutions (level playing field). Our main angle, from which we assess proposals for the capital markets union agenda, are information asymmetries and the agency problems (screening, monitoring) which arise as a result. Within this perspective, we make a number of more specific proposals.
Since the financial crisis financial literacy has attracted growing interest among researchers and policy makers, as there is international empirical evidence that financial literacy is poor among both adults and students. In Germany we have almost no empirical evidence on financial literacy, especially in the case of students attending secondary schools, as financial education has not featured on German school curricula to date. Besides, Germany has not yet participated in the optional financial literacy module of PISA, which was offered for the first time in 2012. However, a lack of private pension provisioning, in spite of demographic change, and low stock ownership among German households indicate a deficit in financial knowledge and skills in this country as well.
In this paper we investigate financial literacy among students aged 14 to 16 attending a secondary school in the state of Hesse. The foundation is a test designed according to international standards. The statistical analysis of the test reveals substantial deficits in key areas of financial literacy. Particular deficits could be identified in the fields of basic knowledge of financial matters and, to an even greater degree, in more advanced concepts such as risk diversification. Applying interest calculations to financial matters turned out to be problematic for many students.
Furthermore, the paper analyses the impact of gender and type of school on the overall test score as well as test performance in specific tasks. The findings suggest that financial matters should be covered in some form at secondary schools. In light of the potentially far-reaching consequences of financial illiteracy for financial wellbeing, German participation in future PISA financial literacy tests seems highly advisable to gain a deeper understanding of the preliminary findings presented in this paper.
A key technology driving the digital transformation of the economy is artificial intelligence (AI). It has gained a high degree of public attention with the initial release of the chatbot ChatGPT, which demonstrates the potential of generative AI (GAI) as a relatively new segment within AI. It is widely expected that GAI will shape the future of many industries and society in the coming years. This article provides a brief overview of the foundations of generative AI (“GAI”) including machine learning and what distinguishes it from other fields of AI. Furthermore, we look at important players in this emerging market, possible use cases and the expected economic potential as of today. It is apparent that, once again, a few US-based Big Tech firms are about to dominate this emerging technology and that the European tech sector is falling further behind. Finally, we conclude that the recently adopted Digital Markets Act (DMA) and the Digital Service Act (DSA) as well as the upcoming AI Act should be reviewed to ensure that the regulatory framework of European digital markets keeps up with the accelerated development of AI.