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Business Case

How PSD2 is changing the financial industry

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After the development of Internet Banking, and Mobile Banking, the European Union has now paved the way for Open Banking. ‘Open Banking’ is the relatively new umbrella term for opening the bank to other parties to access customer data (Courbe, 2018). The Payment Service Directive (PSD), enforced in 2007, is revised recently with the aim to stir innovation and emphasize consumers’ protection by increasing security and transparency through enhanced know-your-customer capabilities, identity validation, and fraud detection (Brodsky & Oakes, 2017). The new European legislation: ‘The Payment Service Directive 2 (PSD2)’, which became applicable in January 2018, sets the banking industry into motion by shifting the authority to share data from financial institutions to bank customers by the rule of: access to account (European Commission, sd). Under PSD2 large financial institutions may move towards the background, maintaining the back-end systems, where digital “giants” are able to extend their close customer relationships by fulfilling the specific customer needs by adding digital value-added services on top of the bank, leading to more competition, digital payment methods and lower transaction costs for consumers (McKinsey, 2016). These digital ‘giants’ like  Amazon and Google, are now able to directly access bank customers and collect the final piece of data that was not accessible before. This could lead to end-to-end solutions that complete the circle of services offered by these parties (PWC, sd).

The Payment Service Directive 2 (PSD2)

Two new categories of licences are created: the Payment Initiation Service Providers (PISPs), which enables third parties, if permission is granted, to directly initiate payments at the bank on behalf of the customer; and the AISP (third party account information service providers), multiple accounts of various banks can be combined into one interface (Deloitte, 2016). By establishing a single legal framework for payments within the EU, cross-border payment transactions can be made as easy, efficient and secure as the domestic payments in Europe (European commission, sd). In this way, the directive lowers entry boundaries of the payment market and thus competition increases. Efficiency is reached by standardization of rules, which results in lower transaction costs and improved financial services. Though, new entrants must meet strict technical requirement set by the European Banking Authority. The customer-centric legislation aims for increased security and transparency of Third-Party Service Providers (TPSPs) as well as banks towards customers. Newly non-banking solutions can be offered as well; payments via digital channels such as social media (Noctor, 2018).

By giving Third-Parties their consent, customers have to trust the Third-Party first, but consumers may not be able to assess the same value and sensitivity to certain data elements as banks and regulators do (Brodsky & Oakes, 2017) as they can be blinded by the benefits that a certain payment service of a TPSPs provides. Thus, the customer-centric regulation results in a cost-benefit trade-off concerning the ability to utilize more efficient and improved bank services, while putting one’s own privacy at risk. New consumer-payments relationships in the financial industry raises the need for a better understanding of how to build consumer trust over the internet. Are bank customers willing to share their personal financial information with TPSPs in return for improved financial services or personalized financial applications? In other words, do the benefits outweigh the risks of sharing your financial data? The following paragraphs explain the advantages and disadvantages of the PSD2 along with related developments in banking.  

Personalization of the financial industry

In today’s world, personalization in e-commerce is rather a must than a nice to have. The future of the financial industry will follow the e-commerce sector by responding to the financial needs of consumers through new types of payment services delivered by Third-Parties’ interfaces on top of banks’ existing data and infrastructure. The PSD2 enables, for example, PayPal to provide additional services on top of the banks infrastructure in which the bank customer barely interacts with their own banking institution. This can threaten banks since PayPal can access multiple bank accounts of bank customers, if consent is given, and can thus collect more information on customers. The information can then be used to fulfill the customers’ needs. In this way, banking services can be offered in a more personal way. In contrast to banks, Third-Parties have the benefit that they can specialize on specific needs of consumers since they do not have the burden of meeting all of the needs of the consumers (Deloitte, 2016). Though, Third-Parties still need to be granted access to the banks’ interface through API’s (Application Programming Interface) provided by financial institutions to interact with bank accounts to third-parties. Although the customer centric, mobile and swift nature of TPSP services is in conflict with how banks traditionally operate, banks have the opportunity to differ between basic and advanced API’s in order to generate a new stream of revenue. Banks expect to face the most significant challenge, not from new digital banks or fintechs, but from the consumer tech giants such as Google, Facebook and Apple. Apart from the end-users’ financial information, these firms were able to access almost every other part of personal information that is available on the internet.

Another important element of banks is their reputation and institutional trust that they have gained over the years. Though, the image of some banks have been harmed in the past years (Volkskrant, 2018), banks do invest heavily in security because their reputation is at stake. TPSPs on the other hand, do not possess a similar security foundation because it was not possible to access bank customers’ accounts or initiate payments on behalf of the customer. However, in the online context, uncertainty increases as users are not aware of the consequences associated with sharing of personal financial information, including account information, obtained financial services and transaction data. Consumers are not likely to share highly sensitive data because of perceived privacy concerns that are due to the invisible nature of the online environment (Culnan & Armstrong, 1999). Thus, e-commerce and consumers are confronted with more payment options, but this does not necessarily benefit to the level of confidence in the payment system, because too much fragmentation of providers can also increase uncertainty and therefore uncertainty among consumers. Then again the conversion at online retailers can have a negative effect in addition to potential market saturation and regulatory burdens which can become another challenge for TPSPs. (Deloitte, 2016). The customer-centric legislation may in the end not be so customer-centric concerning the potential market saturation and the corresponding privacy concerns in the uncertain online environment.

The rise of ‘Digital Giants’ in banking

Currently Google has its primary payment method Google Pay which is a digital wallet that offers a limited number of financial services. As of january 2019, Google has been granted the new payment license in Ireland and Lithuania (Finextra, 2019), which enables them to access bank customers’ account and initiate payments on behalf of the bank customers Although Google did not publish any new service ideas yet, efficiency gains can be made by providing convenient interfaces and features that banks do not offer. These potential services can be combined or linked with existing products, resulting in end-to-end solutions. In this way digital giants are empowered to complete the circle of services offered by these parties. In sum, banks have their brand image and the in-house security foundations as strategic assets, whereas Third-Party Service Providers (TPSPs) have the flexible nature to adapt quickly to customers’ needs. Instead of entering the red ocean, banks can leverage their assets and strengthen their position by collaborating with fintechs and digital giants. Especially, in the uncertain online environment where risk is inherent, trust becomes an important factor. Collaboration is thé solution in the customer-centric world of today. Google has already announced that they prefer to work with banks instead of continuing by themselves. Under the PSD2, Europe puts the customer first and customer protection is number one priority. It is a starting point for change in the traditional financial industry.

References

Brodsky, L. & Oakes, L., 2017. Data sharing and open banking. [Online] Available at: https://www.mckinsey.com/industries/financial-services/our-insights/data-sharing-and-open-banking [Accessed 18 february 2018].

Courbe, J., 2018. Building ‘Open Banking’ on a Platform of Trust. ABA BANKING JOURNAL , pp. 38-39.

Culnan, M. J. & Armstrong, P. K., 1999. Information Privacy Concerns, Procedural Fairness, and Impersonal Trust: An Empirical Investigation. Organization Science, 10(1), pp. 104-115.

Deloitte, 2016. Anticipating the challenges and opportunities of the PSD2. Inside, June, pp. 60-65.

European Commission, n.d. Payment services. [Online] Available at: https://ec.europa.eu/info/business-economy-euro/banking-and-finance/consumer-finance-and-payments/payment-services/payment-services_en [Accessed 18 february 2018].

Finextra, (2019). Google gets payments licence in Ireland. [Online] Available at:https://www.finextra.com/newsarticle/33167/google-gets-payments-licence-in-ireland [Accessed 22 february 2019].

McKinsey, 2016. Technology innovations driving change in transaction banking. [Online] Available at: https://www.mckinsey.com/industries/financial-services/our-insights/technology-innovations-driving-change-in-transaction-banking [Accessed 18 february 2019].

PWC, n.d. PSD2 stimuleert slimme authenticatiemethoden banken. [Online] Available at: https://www.pwc.nl/nl/themas/blogs/psd2-stimuleert-slimme-authenticatiemethoden-banken.html[Accessed 17 february 2018].

Volkskrant, (2018). Ministers wil schandalen zoals bij ING voorkomen en scherpt beloning van bankiers verder aan. [Online] Available at: https://www.volkskrant.nl/nieuws-achtergrond/minister-wil-schandalen-zoals-bij-ing-voorkomen-en-scherpt-beloning-bankiers-verder-aan~b37cfd78/?referer=https%3A%2F%2Fwww.google.com%2F[Accessed at 22 february 2019]


Articles, Student Ideas

Consumer driven pricing and personalization in the airline industry

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There are several ways for companies to distinguish themselves in the way they price their products and services. They can choose for group pricing, which segments customers in groups that tend to behave similarly towards prices. For example, customers can be grouped based on age (such as student discount), gender or living area. Another option is to use versioning: to offer a product line and let customers decide on the trade-off between quality and price. The last form of differential pricing is perceived as difficult to achieve, namely personalized pricing. This means each individual customer receives a personal price for a specific product or service (Schofield, 2018). You may think that, in an offline world, no customer would accept personalized pricing. Can you imagine buying bread and cheese at a grocery store, and the person in front of you pays less for the exact same groceries? However, in an online world, this method has become a lot more feasible. Actually, there is a large chance you have already experienced personalized pricing online. One of the most obvious examples is eBay: one of the first companies to implement personalized pricing with their worldwide market place platform. However, it is important not to interpret personalized pricing as dynamic pricing. The main difference between these two forms of pricing is the variables that determine the final price. In dynamic pricing, the variables that are taken into account are, for example, time of the day, available supply or competitors’ prices (Baird, 2017). Personalized pricing has a customer focus and is interested in a specific customers’ behavior. Companies use data analytics to identify characteristics of the purchase environment or the customer’s profile and behavior that impact their willingness to pay. Bertini and Kounigsberg (2014) argue that the success of personalized pricing depends on at least the following three factors. First, abundant, high-quality data is needed. Also, the companies need to overcome various organizational challenges that come hand in hand with dedication to advanced analytics. Last, companies should be prepared to deal with customers who claim that the pricing approach is not fair.

Airline industry

One of the largest industries that divides consumer groups and price accordingly, is the airline industry. Different fares are charged for the exact same product, based on a market segment’s perceived ability to pay. For example, business travelers tend to pay more for their ticket as compared to leisure travelers, even when they fly the exact same route (Sumers, 2017). The key success is working to learn what the customer needs. Lufthansa, the largest European airline in teams of fleet size and passengers carried in 2017, is testing various approaches to better understand their customers. For example, they have deployed Bluetooth beacons and sensors, to be able to send out real time messages to their customers. When a targeted customer goes through security and has Bluetooth enabled on their phone, the personalization process is started. Or as Lufthansa calls it, the “Big Data Engine”. This program checks a traveler’s mobile boarding pass and looks at how much time the traveler has left before departure. If it is more than a set amount of time, the system examines the traveler’s profile in order to determine whether the customer would be interested in the “Miles and More” program, a discount for access to the airport lounge. This information is combined with the data from the sensors in the lounge, that register whether and how much space is left in the lounge, in real time. This lounge promotion program is part of SMILE., a companywide program that is dedicated to personalizing travel (Lufthansa, 2018). Companies can also use traveler data to offer two or more products or services as a package, increasing profits as it allows companies to appropriate a larger share of customer surplus, known as bundling (Hinterhuber and Liozu, 2014).

Future chances

Although airlines have quite an advanced personalized pricing and recommendation system, there is more potential to be revealed in the future. Lufthansa is working on larger projects that try to develop a Netflix-style algorithm that seeks to guess where its most frequent flyers would like to go to next (Sumers, 2017). The airline then offers a personalized price and ticket to this customer, and further develops its algorithm using customer data. For airlines to stay competitive, they need to keep a close eye on the current and future changes in the market. First of all, airline companies should fully embrace innovation. Data should be used not only to cut costs and to be able to deliver the cheapest flight tickets, but also to facilitate new customer experiences and deliver more personalized services. This leads to an increase in importance of brand loyalty, as consumers are more closely connected to the airline that is best at personalizing their prices and services. Last, the mobile wallet should be seen as the central hub for the digital consumers. Mobile transactions are a lot richer in terms of data collection and analysis, and it provides access to end-consumers, which can drive more sales (Popova, 2016)

 

Sources:

Baird, N. (2017) “Dynamic vs. Personalized Pricing”, https://www.rsrresearch.com/research/dynamic-vs-personalized-pricing, accessed at 13th of February 2018.

Bertini, M. and Koenigsberg, O. (2014) “When Customers Help Set Prices”, MITSloan Management Review, accessed at 14th of February 2018.

Hinterhuber, A. and Liozu, S. (2014) “Is innovation in pricing your next source of competitive advantage?” Elsevier Inc, accessed at 14th of February 2018.

Lufthansa (2018) “Official website”, http://www.lufthansa.com, accessed at 14th of February 2018.

Popova, N. (2016) “Has Personalization of Passenger Experience Entered a Critical Stage?”, https://skift.com/2016/12/29/has-personalization-of-passenger-experience-entered-a-critical-stage/, accessed at 14th of Febuary 2018.

Schofield, T. (2018) “Price discriminations: definition, types, and examples”, https://study.com/academy/lesson/price-discrimination-definition-types-examples.html, accessed at 13th of Febuary 2018.

Sumers, B. (2017) “Airlines Become More Sophisticated With Personalized Offers for Passengers”, https://skift.com/2017/02/03/airlines-become-more-sophisticated-with-personalized-offers-for-passengers/, accessed at 14th of February 2018.

Articles, Opinion

A rational perspective on the privacy issues when considering using location-based services

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Big data and data collection are often seen in a negative daylight, as public attention to big data gathering usually results in unwanted attention for organizations. The other side of the story is that such data collection is usually the result of organizations wanting to deliver personalized services more effectively. In cases where the user becomes skeptical when asked to share their personal and private data, organizations provide an (additional) incentive to mitigate their perceived risk. In the case of recent developments in mobile shopping services, there is a balance between the perceived value and the perceived risk of sharing private information of the customer Xu et al. noted [1]. An easy example of this the case of a customer of having an empty stomach, an empty fridge at 10pm and a connected smartphone. Will he decide to give out his location-based information to a mobile service in order to look for food ordering opportunities or will he not? Will he value the potential to find food less than his location-based information at that hour? You decide.

Furthermore, Xu et al. found that the usage of location-based services is correlated to monetary incentives. Individuals are more willing to disclose their locality to location-based services when offered a financial incentive, Xu et al. have found in their research [1]. The financial incentive is often given in the form of some future saving, implying that there is money to be gained in future expenses. These incentives often take the form in discounts on related services or rebates. Some skeptics have been in agreement with having their personalized data shared in trade for an additional incentive. When asked about their rationalization, some skeptics claim that ‘the risk is worth the gain’ while others state that they have ‘serious concerns’ about sharing their information. If you think that the former is non-existent, please consider the example of the guy with the empty stomach again.

The location-based are services that require more personal and private information in order to function better. The so-called personalization privacy paradox is the epitome of the previous statement; the better services an individual wants or requires, the more willing he has to be to share his personal information. Xu et al. have found that using personalized services could help individuals in superseding their privacy concerns. When addressing the paradox, the authors imply that if customers are more knowledgeable of the service that they require, they make a more rational decision. If the customers have high privacy concerns towards the use of personalized services, they are less inclined to consider using the service and will automatically consider alternate opportunities (in case of the hungry customer, he could use the ‘service’ of asking his physical neighbor for information) and therefore are not part the targeted demographic Pappas et al. imply [2]. In addition, if the location-based services give the option to the consumer to control the use of their personalized information, the mitigated effect might tempt critics to use the service after all [3], although future research would have to investigate this in more detail.

In the end, the rule of thumb is: “when (information) services are offered for free, you are paying with your personal data”. Some people are okay with this, and that is… okay.

Disclaimer: Although largely based on the article of Xu et al. [1], the opinion presented in this article does not portray the sentiment in the paper itself. The opinion presented in this article rests solely by the author and by none of the authors cited in this article. Critics are free to comment below, and are encouraged to do so.

References
[1] Xu, H., Luo, X. R., Carroll, J. M., & Rosson, M. B. (2011). The personalization privacy paradox: An exploratory study of decision making process for location-aware marketing. Decision Support Systems, 51(1), 42-52.
[2] Pappas, I. O., Giannakos, M. N., & Chrissikopoulos, V. (2012, June). Personalized services in online shopping: Enjoyment and privacy. In Information Society (i-Society), 2012 International Conference on (pp. 168-173). IEEE.
[3] Schwaig, K. S., Segars, A. H., Grover, V., & Fiedler, K. D. (2013). A model of consumers’ perceptions of the invasion of information privacy. Information & Management, 50(1), 1-12.