Artificial Intelligence for the Financial Services Industry: What Challenges Organizations to Succeed?

As a research field, artificial intelligence (AI) exists for several years. More recently, technological breakthroughs, coupled with the fast availability of data, have brought AI closer to commercial use. Internet giants such as Google, Amazon, Apple or Facebook invest significantly into AI, thereby underlining its relevance for business models worldwide. For the highly data driven finance industry, AI is of intensive interest within pilot projects, still, few AI applications have been implemented so far. This study analyzes drivers and inhibitors of a successful AI application in the finance industry based on panel data comprising 22 semi-structured interviews with experts in AI in finance. As theoretical lens, we structured our results using the TOE framework. Guidelines for applying AI successfully reveal AI-specific role models and process competencies as crucial, before trained algorithms will have reached a quality level on which AI applications will operate without human intervention and moral concerns

When function meets emotion, change can happen: societal value propositions and disruptive potential in fintechs

Fintechs, as providers of digital service innovations and as highly relevant and novel channels through which to deliver entrepreneurial finance based on the creative use of state-of-the-art technology in the financial domain, have thus far mainly been addressed in research by examining the functional aspects of their value propositions (VPs). This article thus sets out to gain insights into the interplay and overall role of societal VPs as potential antecedents and change catalysts in the formation of the often promised disruptive potential of fintechs for the financial sector. In an inductive, theory-building approach, the authors first examine how societal VPs transcend individual functional and emotional ones for entrepreneurs, and conclude with a conceptual model of how the former can build up the disruptive potential of fintechs and deliver apt solutions for entrepreneurs seeking finance

Ecosystem dynamics: exploring the interplay within fintech entrepreneurial ecosystems

Scholars and practitioners continue to recognize the crucial role of entrepreneurial ecosystems (EEs) in creating a conducive environment for productive entrepreneurship. Although EEs are fundamentally interaction systems of hierarchically independent yet mutually dependent actors, few studies have investigated how interactions among ecosystem actors drive the entrepreneurial process. Seeking to address this gap, this paper explores how ecosystem actor interactions influence new ventures in the financial technology (fintech) EE of Singapore. Guided by an EE framework and the use of an exploratory-abductive approach, empirical data from semi-structured interviews is collected and analyzed. The findings reveal four categories representing both the relational perspective, which features interaction and intermediation dynamics, and the cultural perspective, which encompasses ecosystem development and regulatory dynamics. These categories help explain how and why opportunity identification and resource exploitation are accelerated or inhibited for entrepreneurs in fintech EEs. The present study provides valuable contributions to scholars and practitioners interested in EEs and contributes to the academic understanding of the emerging fintech phenomenon.publishedVersio

The changing landscape of retail banking and the future of digital banking

The emergence of new technologies and players, along with a favorable regulatory framework (PSD2 Directive) are changing the European banking industry, in particular. New services and new customer’s experiences are also changing the way individuals interact to satisfy their financial needs. The financial services industry is experiencing new and different business value propositions that are innovating products, processes and accesses. Value chains are also undertaking a significant shift from a pipeline, vertical paradigm, to open banking business models where open innovation, modularity and ecosystems are going to drive the ways banks will improve their cost efficiency as well as develop new business paradigms. “Partnering on order” might be the way to lead the future of the industry. As a result of these changes, also new challenges are rising in the market