New research!

Central Bank Digital Currencies (CBDC) are digital money issued, and backed, by a central bank. Consumer trust can encourage or discourage the adoption of this currency, which is also a payment system and a technology. CBDCs are an important part of the new Fintech solutions disrupting finance, but also more generally society. This research attempts to understand consumer trust in CBDCs so that the development and adoption stages are more effective, and satisfying, for all the stakeholders. This research verified the importance of trust in CBDC adoption, and developed a model of how trust in a CBDC is built (Zarifis & Cheng 2023).

Figure 1. Model of how trust in a Central Bank Digital Currencies (CBDC) is built in six ways

There are six ways to build trust in CBDCs. These are: (1) Trust in government and central bank issuing the CBDC, (2) expressed guarantees for the user, (3) the positive reputation of existing CBDCs active elsewhere, (4) the automation and reduced human involvement achieved by a CBDC technology, (5) the trust building functionality of a CBDC wallet app, and (6) privacy features of the CBDC wallet app and back-end processes such as anonymity. The first three trust building methods relate to trust in the institutions involved, while the final three relate to trust in the technology used. Trust in the technology is like the walls of a new building and institutional trust is like the buttresses that support it.

This research has practical implications for the various stakeholders involved in implementing and operating a CBDC but also the stakeholders in the ecosystem using CBDCs. The stakeholders involved in delivering and operating CBDCs such as governments, central banks, regulators, retail banks and technology providers can apply the six trust building approaches so that the consumer trusts a CBDC and adopts it.

Dr Alex Zarifis

Reference

Zarifis A. & Cheng X. (2023) ‘The six ways to build trust and reduce privacy concern in a Central Bank Digital Currency (CBDC)’. In Zarifis A., Ktoridou D., Efthymiou L. & Cheng X. (ed.) Business digital transformation: Selected cases from industry leaders, London: Palgrave Macmillan, pp.115-138. https://doi.org/10.1007/978-3-031-33665-2_6

New research!

Fintech is changing the services to consumers, and their relationship with the organizations that offer them. This change is neither top-down nor bottom-up, but is being driven by many different stakeholders in many different parts of the world, making it hard to predict its final form. This research identifies five business models of Fintech that are ideal for AI adoption, growth and building trust (Zarifis & Cheng, 2023).

The five models of Fintech are (a) an existing financial organization disaggregating and focusing on one part of the supply chain, (b) an existing financial organization utilizing AI in the current processes without changing the business model, (c) an existing financial organization, an incumbent, extending their model to utilize AI and access new customers and data, (d) a startup finance disruptor only getting involved in finance, and finally (e) a tech company disruptor adding finance to their portfolio of services.

Figure 1. The five Fintech business models that are optimised for AI

The five Fintech business models give an organization five proven routes to AI adoption and growth. Trust is not always built at the same point in the value chain, or by the same type of organization. The trust building should usually happen where the customers are attracted and on-boarded. This means that while a traditional financial organization must build trust in their financial services, a tech focused organization builds trust when the customers are attracted to other services.

This research also finds support that for all Fintech models the way trust is built, should be part of the business model. Trust is often not covered at the level of the business model and left to operation managers to handle, but for the complex ad-hoc relationships in Fintech ecosystems this should be resolved before Fintech companies start trying to interlink their processes.

Alex Zarifis

Reference

Zarifis A. & Cheng X. (2023) ‘The five emerging business models of Fintech for AI adoption, growth and building trust’. In Zarifis A., Ktoridou D., Efthymiou L. & Cheng X. (ed.) Business digital transformation: Selected cases from industry leaders, London: Palgrave Macmillan, pp.73-97. https://doi.org/10.1007/978-3-031-33665-2_4

New research!

Digital transformation is being driven by AI that is acting as a catalyst for business advancement. We looked at eight cases of digital transformation and found nine key themes. We looked at cases of digital transformation in finance, tourism, transport, entertainment and social innovation (Zarifis et al. 2023).

Figure 1. The tightly coiled ‘spring’ of digital transformation leader’s innovation, and the followers

The first of the nine main themes identified here is: (1) Digital transformation leaders will constantly innovate, while digital transformation laggards will have a stop-start approach. Digital transformation leaders will rapidly innovate going through regular iterative evolutions of their technologies, moving through repeated cycles of agile developments metaphorically forming a ‘spring’. New innovations and in-house skills are built up in this process of constant innovation. Continuing with the metaphor this tightly coiled ‘spring’ will store ‘energy’ propelling the organization forward. Digital transformation laggards will have a stop-start approach copying certain solutions of the leaders but not keeping up. Metaphorically a far less tightly coiled ‘spring’.

The other eight themes identified are: (2) There are no simple answers, or a single way to go forward, with digital transformation. (3) Each sector of the economy has its own opportunities, challenges and must find its own path forward. (4) Changes in one sector of the economy, such as the financial sector, will send a ripple of change across other sectors of the economy. (5) Change needs a shared vision, and digital transformation needs leaders to create the shared vision. (6) Digital transformation needs trust and cooperation on every level: Teams, organizations, governments and super-organizations like the EU. (7) People will still have a role: Staff, customers and other stakeholders are still important. (8) There is a dark side of digital transformation that may have not been fully revealed to us yet. (9) Digital transformation should happen hand in hand with sustainability and resilience.

Those are the nine main themes of digital transformation identified based on the cases we looked at. A leader of digital transformation must disassemble the technology, processes, business models and strategies, involved and then put together their own collage of what they want to achieve, and their own montage of the journey there.

Dr Alex Zarifis

Reference

Zarifis A., Efthymiou L. & Cheng X. (2023) ‘Sustainable digital transformation in finance, tourism, transport, entertainment and social innovation’. In Zarifis A., Ktoridou D., Efthymiou L. & Cheng X. (ed.) Business digital transformation: Selected cases from industry leaders, London: Palgrave Macmillan, pp.1-16. https://doi.org/10.1007/978-3-031-33665-2_1