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What Distinguishes a Robo-Advisor?

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In my last post, I detailed the customer advisory processes for a human advisor and a robo-advisor. Today I explain what causes these differences. This step is important to be able to understand and explain the differences between the two advisory processes and then, in a next step, to be able to derive the impact of robo-advisory services and to evaluate the advantages and disadvantages of robo-advisors compared to the traditional customer advisory process.

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All, Digitization, technologies

Robo-Advisors vs. Traditional Customer Advisors

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My last post before the Christmas break was about which business models and strategies a robo-advisor can align its offering with. Today, I will present the customer advisory processes of traditional, human banking advisory services and robo-advisors. In the rest of the series, I will then discuss the impact caused by robo-advisors which form of advisory is better and whether robo-advisors will be able to replace bank advisors in the near future.

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What Is a Robo-Advisor and Why Should We Care?

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In the course of the change from a personalized customer experience at a bank to the desire for standardized and digitized processes, “robo-advisors” are becoming increasingly important. Today’s article looks at how robo advisory services are defined and how they came into being, whether they are serious competition for banks, and what stage of development robo-advisors are at now.

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Digitization, technologies

Agile Corporate Culture – What’ s It All About? (Part 2)

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The culture of a company is the beliefs, values and behaviors that shape the social and psychological environment of the organization. As a 2017 Capgemini change management study shows, the companies that transform most successfully are also those that involve their employees in the transformation process from start to finish and thus actively promote a change in corporate culture. Many studies from science and practice also make it clear that the path to an agile culture is not an easy one. In a recent article, the consulting firm McKinsey has published four lessons learned from its experience with clients around the world that offer a good approach to how companies can foster the development of an agile culture.

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FinTech landscape in Switzerland: Blockchain and DLT

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With a share of 10% of all FinTech companies in Europe, Switzerland is one of the leading innovation centers. The focus on distributed ledger technology is striking in Switzerland, especially in Crypto Valley Zug. In the meantime, 250 crypto companies have already settled there or are planning a location. However, Switzerland cannot rest on its laurels: to remain a leading innovation center, it constantly needs new FinTechs with innovative ideas. In order to identify gaps in the existing range of Swiss blockchain FinTechs and thus the innovation potential for further services, I analyze in this article the current service offering of the Swiss blockchain FinTech scene.

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The Relevance of Organizational Resilience in Times of Crisis and Beyond

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Multinational companies have extensive and complex supply chains to operate as efficiently as possible. Within these production networks there is little room for error and preventive stress tests are rarely carried out. The COVID-19 pandemic has shown how fragile such structures can be and what consequences can arise if too little attention is paid to risk exposure (Sneader & Lund, 2020).

But how could companies have better prepared for an unexpected event like the COVID-19 pandemic? And how relevant is organizational agility and resilience in this context?

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Augmented Reality in Education and the Financial Sector

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The current corona virus situation has shown us that we are capable of taking big steps in digitalization in a very short time in the education sector. Digital methods have already found their way into schools and universities, but this sometimes hesitant development was reinforced to an unprecedented degree by the homeschooling required during the peak of the pandemic. Collaborative platforms have grown enormously, and new teaching and learning formats have been introduced in the form of explanatory videos and virtual lessons or group work. One technology, or rather a concept that has been largely ignored so far, but which offers great potential for improving both digital and face-to-face teaching, is augmented reality (AR), the enrichment of reality with virtual content.

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Open Banking White Paper – The Future of Collaboration in Corporate Banking

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According to a survey, 90% of bankers are convinced that open banking can increase the organic growth of banks by 10%[1]. A global banking survey also found that 86% of banks plan to use open APIs in the next 12 months to enable open banking capabilities[2]. To address this development and better understand the opportunities and implications of the trend towards opening up a banks’ own IT infrastructure, the Business Engineering Institute and Commerzbank have jointly authored an open banking white paper on the future of corporate banking collaboration. In this white paper, we explored the overarching questions of what the open banking concept is all about and how it will change value creation, particularly in corporate banking.

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Open Banking Summit 2020 – Opportunities and Implementation Scenarios for Open Banking in Switzerland

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Recently, the Swiss Bankers Association published an overview that outlines the status of open banking in Switzerland and formulates requirements for its further development of open banking. These requirements include the clear strategic positioning of Swiss banks and the joint development of standardized APIs for data exchange between financial institutions and third-party providers. The aim of this overview is to “support the dialogue in the financial center”, as Richard Hess writes in the initial contribution to the blog parade of the Swiss Bankers Association. The Open Banking Summit of the standardization initiative OpenBankingProject.ch pursued the same goal on September 10th, with various presentations focusing on these two requirements.

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Strategy in an Age of Increasing Interconnectedness – Taking Stock (Part 2)

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The examples of Alibaba, Amazon and Airbnb impressively demonstrate the value creation potential of ecosystems compared to traditional, linear value creation structures. But how do you plan and develop an ecosystem? As I explained in the first part of this blog post, traditional strategy concepts cannot be easily transferred to ecosystems. So what constitutes an ecosystem strategy? In the following, I will present three further prerequisites for the successful design of an ecosystem, which must be part of every discussion about building or participating in any ecosystem.

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Strategy in an Age of Increasing Interconnectedness – Taking Stock (Part 1)

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The term ecosystem strategy is very present in science and practice and numerous strategic recommendations for action, for example for taking on certain roles, can already be identified. However, a uniform understanding of the term or an overarching approach to building up or positioning oneself in ecosystems does not yet exist. In this blog post I try to approach the topic by identifying four prerequisites for the success of an ecosystem and by investigating the extent to which an ecosystem strategy differs from a classical corporate strategy.

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Effects of the Coronavirus Pandemic on the Financial Industry

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Since the beginning of 2020, the coronavirus pandemic has caused an enormous slump in the global economy due to lockdowns all over the world. The IMF expects global GDP to decline by 5%, and for the euro zone it is likely to be as much as 10.2% [1] – and these are the figures before a possible second wave. It remains to be seen how the economy will recover. What can already be well assessed, on the other hand, are the qualitative effects of the pandemic on the macro trends relevant to the financial industry.

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Digitization, Ecosystems, News, technologies

The Convergence of Distributed Ledger Technology and Artificial Intelligence Exemplified by the Lending Process (Part 3)

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In the first two contributions to this three-part series, we have shown that the simultaneous use of distributed ledger technology and artificial intelligence can improve today’s lending process in many ways. However, the lending process is only one of many processes that can potentially benefit from the merging of DLT and AI. In the following we have compiled the process characteristics that indicate that a process leads to the convergence of the two technologies and can therefore be optimized by them.

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The Convergence of Distributed Ledger Technology and Artificial Intelligence Exemplified by the Lending Process (Part 2)

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Technological convergence means that two or more technologies merge into a single system that is more powerful than each of the technologies individually. Since AI and DLT are technologies that have some opposing characteristics (e.g., centrality vs. decentralization; transparency vs. black box), the two technologies complement each other and can compensate for crucial weaknesses of the other. Since the lending process is one of the main processes in the banking business and involves both communication and data analysis (AI) and the transmission of sensitive data (DLT), it is ideally suited for a practical examination of both the prerequisites and the effects of technological convergence.

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The Convergence of Distributed Ledger Technology and Artificial Intelligence Exemplified by the Lending Process (Part 1)

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The distributed ledger technology (DLT) and artificial intelligence (AI) are two promising technologies that are at the top of their hype cycle. Scientists assume that the convergence of the blockchain, the Internet of Things (IoT) and artificial intelligence offers considerable opportunities, such as accelerating the pace of service, process and business model innovations. However, the information available in the current literature and research on how such an integration could be implemented in practice is still sparse. Over the next week, this series of articles will explore how specific elements of DLT and AI can be combined to achieve potential technological convergence, and what significance this convergence has for the lending process.

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Technostress – The Dark Side of the Increasing Use of Information and Communication Technologies

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The economy and society in general have benefited greatly from increasing digitization and access to ICT. However, this development also has its downsides. In recent years, both scientific studies and practical reports have increasingly pointed out that the use of ICT in both private and organizational contexts can lead to strong stress perceptions among the respective users. This specific form of stress is called technostress. This blog post explains the causes and effects of technostress and suggests measures companies can take to minimize technostress for their employees.

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Agile Transformation Requires Agile Leadership

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It is an open secret that turbulent times have begun for banks and financial service providers. The market environment is more volatile than ever before – external conditions change often, quickly and extensively. How can banks nevertheless be successful in this environment? The key is agility, which can only succeed if the leadership style, which has a significant influence on the personal attitude, mindset and behavior of employees, is also appropriately agile. The question that arises in this context is: What characterizes an agile leadership style and how can the transformation to this leadership style be successful?

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Strategic Leadership in the Context of Digital Transformation (Part 2)

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Our modern world, increasingly accelerated by innovative technologies, demands constant adaptation from companies. Digital transformation is now omnipresent. Now, every transformation also means business model innovation. This innovation can either be developed internally or integrated into the company through external acquisitions. Which of these options is selected depends, on the one hand, on the expertise available within the company and, on the other hand, on the prevailing management system, i.e. on the type of guidelines by which the board of directors sets targets for top management and against which it evaluates its performance. There are basically two options available to the board of directors: strategic or financial control. In this article, we will look at the advantages and disadvantages of these two management systems and which of them is better suited to sustainable innovation and transformation, the prerequisites for long-term success in business today.

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Strategic Leadership in the Context of Digital Transformation (Part 1)

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While in the past it was sufficient to improve a well-functioning business model through incremental innovation in an attempt to preserve its competitive advantage over the long term, an ever-changing environment with technological innovations and changing customer needs and expectations requires companies to constantly transform themselves and explore new business areas. For this reason, transformation in the context of digitalization is one of the major research topics at the CC Ecosystems. While we at the Competence Center focus primarily on transformation methods and capabilities, in this two-part series, I would like to focus on transformation governance, in particular the role of the board of directors and executive management in initiating and implementing a transformation. Part 1 focuses on the environmental changes that make a transformation necessary and outlines the measures to be introduced by the board of directors.

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How Does Artificial Intelligence Change the Business Models of the Financial Industry? (Part 2)

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In order to position itself in the FinTech market with an AI-based application, a company needs a deep understanding of the AI FinTech market, i.e. both the existing applications and the business models that have developed around these applications. In the first part of this blog post, we used the AI Application Taxonomy, a tool to describe the properties of an AI application in more detail, to analyze a total of 79 AI applications from 75 FinTechs and to identify four overarching application archetypes. In the second part, we now focus on the business models within which these applications are used and the resulting positioning options for financial institutions.

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How Does Artificial Intelligence Change the Business Models of the Financial Industry? (Part 1)

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Assessing the strategic opportunities that the use of Artificial Intelligence (AI) provides a company with requires a sound understanding of AI-based applications. Such an understanding includes not only knowledge of the possible functionalities of AI-based applications (Dietzmann & Alt, 2020), but also knowledge of the characteristics that describe these functionalities in more detail (e.g. the speech input for the speech recognition functionality can be received as an acoustic signal or be available digitally in the form of a video). Combined, these two aspects enable a detailed analysis of existing AI-based offerings, on the basis of which positioning opportunities vis-à-vis competitors in the target market can be identified. The Competence Center Ecosystems has therefore not only developed the periodic table of artificial intelligence but also the “AI Application Taxonomy”, which contains the currently observable characteristics of AI-based applications. In the current and first part of the blog post we introduce the taxonomy and then analyze a sample of European AI FinTechs.

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