Content uploaded by Roman Beck
Author content
All content in this area was uploaded by Roman Beck on Sep 29, 2018
Content may be subject to copyright.
EDITORIAL
FinTech and the transformation of the financial industry
Rainer Alt
1
&Roman Beck
2
&Martin T. Smits
3
#Institute of Applied Informatics at University of Leipzig 2018
Dear readers,
This preface introduces the special issue on FinTech in
Electronic Markets. The issue includes a total of eight papers,
which cover diverse aspects in the broad FinTech universe.
Seven papers emerged from the special issue call that was
published in 2016 and one paper from a fast-track that was
organized with the Business Information Systems Conference
(BIS) from 2016. Taken alone, the number of submissions for
the FinTech special issue call was larger than for regular spe-
cial issues in Electronic Markets, which might suggest that
FinTechisanactiveresearchfield.Thisisremarkablesince
the term itself has only recently gained broad attention.
For example, a simple query on Google Trends reveals that
it was only in 2014 that the compound term BFinTech^
emerged on a broad scale and made the transformation of
the financial industry visible to everybody (Arner et al.
2016). An industry that had remained rather stable over de-
cades was apparently confronted all of a sudden with new
market participants and the acceleration of digital innovation.
A surge in the foundation of new companies (Bstart-ups^)
occurred, which promised to change the entire industry with
some even claiming that this will be the beginning of the end
of banks. This would confirm statements from the 1990s
whereby Bbanking is essential, banks are not^or whereby
Bbanks are the steel industry of the [nineteen]nineties^(Beck
2001, p. 7). Some 25 years later, we may see the beginning of
this (digital) transformation. Although the financial industry
as a whole and many of the traditional players from the world
of Bbig banks^exist, the BFinTech^movement has substan-
tially influenced this sector.
FinTech (r)evolution
Like similar compound terms, such as BBioTech^,BFinTech^
is a rather simple and obvious combination of an application
domain (Bfinancial^)andBtechnology^. The financial sector
has grown over the last centuries with the first bank being
established in 1472 and a large variety of other businesses
(e.g., securities firms, insurance companies, real estate agents)
following since (Alt and Puschmann 2016, p. 9). Financial
companies are often referred to as service providers since they
support firms in a primary market to conduct their business
and have over time shaped a secondary market in which fi-
nancial service providers (e.g., mortgage brokers, commercial
banks, investment bankers) interact among each other (Zhu et
al. 2004). From this Ban extensive network of interrelation-
ships that is more complex, reciprocal, and less linear than
traditional manufacturing and retailing industries^resulted
(Zhu et al. 2004, p. 21). Technologies - the second element
of the FinTech term - have become key in handling financial
processes.Following Bouwman et al. (2005) a technology is a
manner of organizing things, coordinating processes, and
performing tasks more easily. This general definition
recognizes analog as well as digital technologies, which
have both spread in the financial sector. Previous work on
the evolution of FinTech already suggests that financial
technologies have a longer legacy than the term FinTech
itself. For example, Lee and Shin (2018, p. 36) link the roots
of FinTech to the diffusion of the internet since the 1990s.
Arner et al. (2016) paint a broader picture and recognize fi-
nancial technologies already in the mid-nineteenth century. A
historical perspective may even start earlier with the emer-
gence of financial institutions (see Fig. 1).
The first applications of technologies used by banks and
trading companies relied on physical media containing the
information/value (e.g., paper, coins). Since transferring these
documents and values across distances was only feasible via
*Rainer Alt
rainer.alt@uni-leipzig.de
1
Leipzig University,
Leipzig, Germany
2
IT University of Copenhagen,
Copenhagen, Denmark
3
Tilburg University,
Tilburg, Netherlands
Electronic Markets
https://doi.org/10.1007/s12525-018-0310-9
physical modes of transportation, markets were primarily lim-
ited to a regional scope. This changed with innovations in
information and communication technology (short BIT^). In
particular, the visual and later the electrical telegraph, enabled
to separate information from its physical representation and to
transmit it faster over larger distances. The economic impli-
cations were fundamental, and the telegraph was recog-
nized as an element of industrialization in modern societies
(Malone et al. 1987). These analog technologies may be
seen as a second phase of financial technologies and lasted
until the mid-twentieth century.
Starting with the inception of digital information and com-
munication technologies, the era of digital financial technolo-
gies –sometimes also referred to as Be-Finance^(Gomber et
al. 2017,p.540)–started and Arner et al. (2016,p.1282)
assert that Bcertainly, by the late 1980s, financial services had
become largely a digital industry, relying on electronic trans-
actions between financial institutions, financial market partic-
ipants, and customers around the world.^In the banking sec-
tor, the technologies spread along the banking value chain,
which has evolved to comprise four clusters (Bons et al.
2012,p.198;Marinč2013): customers (e.g., retail, commer-
cial, investment), channels (e.g., branches, brokers, web, mo-
bile, social), financial service providers (e.g., banks, non-
banks) and interbank providers (e.g., exchanges, networks).
Examples of this technological diffusion are:
&Since the 1960s large financial service providers –in par-
ticular banks –have emerged as pioneers in using IT
inhouse. Especially large banks have established IT de-
partments that often comprise several thousand em-
ployees. These organizational units have developed pro-
prietary application systems and operate corporate net-
works linking internal units including their branch offices.
Over the years, these systems also enabled electronic in-
terfaces to customers (e.g., ATMs, online banking) and to
external stakeholders (e.g., other banks, financial
exchanges).
&In the interbank area, multinational electronic networks
emerged, such as the Society for Worldwide Interbank
Financial Telecommunication (SWIFT) in 1973 and the
Trans-European Automated Real-time Gross Settlement
Express Transfer System (TARGET) in 1999. They were
an important building block for digitalization between
banks, which established interfaces to their internal
systems (interbank area). A more recent network is the
European Single Euro Payments Area (SEPA), which
started in 2009 and has only recently been enhanced to
handle real-time processes among banks (e.g., SEPA
Instant Credit Transfer). In addition, providers of ex-
changes began a substitution of physical trading floors
by electronic trading and clearing systems in the 1980s.
Meanwhile, most exchanges worldwide (e.g., CBOT in
Chicago, EEX in Leipzig, NYSE in New York, XETRA
in Frankfurt) are fully electronic and allow trading stocks,
certificates and other derivatives in real-time.
&Overall, the need for standardization became evident with
the variety of individual and incompatible information
systems along the banking value chain. Initiatives for in-
terface standards (e.g., HBCI for online banking, FIX for
stock trading, UNIFY for loans) were driven by financial
service providers and packaged software systems became
available by IT vendors (e.g., Finastra, SAP, Temenos).
Both developments (i.e. interface standards and standard
software) aimed at alleviating the inefficiencies that came
along with proprietary systems.
Similar developments occurred in the insurance industry,
albeit at a smaller scale due to less interactivity of the insur-
ance business. Overall, the phase of digital financial technol-
ogy illustrated that products and services in the entire financial
industry may be supported by IT. This also led to consider-
ations whether the regulatory institutions were in place to take
advantage of these innovations and to contain the risks inher-
ent in activities that occurred electronically. While the benefits
have outweighed the risks in many cases (for online banking
see Arner et al. 2016, p. 1285), the financial crisis starting in
2007 and the subsequent regulatory restrictions emphasized
their role for enabling as well as for inhibiting transformations
in the financial industry. In fact, the competitive landscape
during the digital phase remained rather stable and IT largely
improved existing structures.
Various factors suggest this observation: First, although the
diffusion of IT has led to an increase of outsourced processes
and activities, the degree of vertical integration in the banking
industry has remained high. For example, research from
Gellrich et al. (2005) found a reduction of only 5 % in their
analysis of 859 European banks. Their measure of vertical
integration dropped from an average of 82.2% in 1995 to an
average of 77.2% in 2002. Since then the sector has
Analog technologies
Based on
physical media
~1500 ~1860 time
Information technologies
~1960
Digital technologies
~2008
Banking IT FinTech
Fig. 1 Evolution of financial
technologies
R. Alt et al.
presumably seen further reductions of in-house production
and a thrust towards more outsourcing, specialization and di-
versification. Second, the number of banks has decreased dur-
ing the digital phase and the number of employees (i.e. manual
workforce) has increased. Between 1980 and 2009, the num-
ber of institutions diminished from 37,090 to 15,801 in the US
and from 3006 to 1774 in Germany (OECD 2018). In contrast,
the workforce grew from 2,019,341(1990) to 2,302,628 in the
US and from 495,700 (1980) to 633,550 in Germany (OECD
2018). This may be seen as a potential for automation and for
digital processes that overcome the problem of manual activ-
ities between various information systems. A statement from a
report from 2013 on the support of business processes with IT
may support this: BAcross Europe,retail banks have digitized
only 20 to 40 percent of their processes; 90 percent of
European banks invest less than 0.5 percent of their total
spending on digital^(Olanrewaju 2013). Such low innovation
investments may sound surprising since banks are known as
early adopters of IT and reportedly invested higher amounts of
their revenues in IT than businesses in other industries. For
example, Gopalan et al. (2012, p. 30) report that Bglobally, the
banking sector spends anaverage of 4.7 percent to 9.4 percent
of operating income on IT, while other sectors spend less:
insurance companies and airlines, for example, spend 3.3 per-
cent and 2.6 percent of income, respectively.^It seems that
high IT investments were not similar to driving the digital
transformation of business processes and business models.
The inefficiencies inherent in this situation have led to a
fertile ground for the current phase of the FinTech movement,
which roughly coincided with the financial crisis. It builds on
four driving forces that were summarized in a position paper
from the last special issue on banking published by Electronic
Markets in 2012 (Alt and Puschmann 2012, p. 204f). These
were the:
&growing pace of diffusion of innovative downstream IT
solutions. When the position paper was published in 2012,
the FinTech Bingredients^were foreseeable, but the notion
BFinTech^only saw its broad diffusion shortly thereafter.
Instead, the position paper referred to the developments as
BBanking IT innovations^. Following the main business
services in banking, a collection of new digital services in
the areas financial information, planning & advisory, pay-
ments, investments, financing, and cross-process support
provided a glimpse on the broad spectrum of FinTech
solutions in banking. Very often, the solutions were limit-
ed in scope and addressed a specific customer problem.
&emergence of non-banks and new start-up businesses of-
fering focused financial services. After the financial crisis,
an uptake of investments in financial start-up businesses
took place. For example, the global volume of annual
venture capital funding rose from USD 3.7 bn in 2013 to
USD 16.5 bn in 2017 (CBInsights 2018). The start-up
mentality may be seen as a key element of FinTech and
although incumbents began to create new organizational
units (e.g., innovation labs, think tanks, spin offs), it seems
that neither banks nor insurance companies were capable
of exhibiting the same creative, dynamic and Bdigital^
mindset that was –and still is –atthecoreofmany
start-up businesses.
&changing behavior of banking customers towards online
banking and multi-bank-relations. The diffusion of mobile
devices and digital financial services has enabled cus-
tomers to obtain ubiquitous access to financial informa-
tion. In addition, the electronic tools offer functionalities
that were previously reserved to bank advisors. Overall,
the loyalty to a main bank has decreased and customers
tend to favor relationships with multiple financial service
providers. For example, more than half of Germany’sre-
tail banking customers already use services from rival
suppliers and are open for financial products offered by
IT companies (Bain and Company 2017).
®ulatory and competitive consequences of the financial
crisis that occurred in 2007. They included new rules for
separating retail and investment banking (e.g., Dodd-
Frank Act), for protecting consumers and markets (e.g.,
MiFID), reporting schemes to prohibit fraudulent behav-
ior (e.g., AIA, FATCA) and requirements for higher cap-
ital coverage (e.g., the Basel agreements). These growing
legal restraints mainly increased the pressure on traditional
financial service providers.
The Electronic Markets special issue in 2012 concluded
that banks were only at the beginning of seeing the potential
offered by mobile and Internet technology (Bons et al. 2012;
Alt and Puschmann 2012). In 2018, we may say that this
development has taken place. Besides a further growth of
FinTech start-up funding, many incumbents have increased
the digitalization of their processes and sometimes even intro-
duced new products and services (e.g., enhanced online bank-
ing, customer apps and video conferencing, crypto assets).
Thus, the emergence of FinTech is impressive, but has not
come Ball of a sudden^and relies on a long legacy of financial
technology. Is it a revolution or rather an evolution? FinTech
may indeed be conceived as a simple evolution if a linear
development path could be observed. However, the advances
in IT (e.g., artificial intelligence, big data, platforms, social
media), the adoption of a customer-oriented perspective and
the start-up mentality may represent aspects that lead to dis-
continuities. This is also reflected in definitions of FinTech,
which have been coined since 2014. In this vein, Gimpel et al.
(2018) refer to FinTech when Bdigital technologies such as the
Internet, mobile computing, and data analytics to enable, in-
novate, or disrupt financial services^. Process disruption and
service transformation are named as key forces for FinTech
besides technology innovation (Gomber et al. 2018,p.224f)
FinTech and the transformation of the financial industry
and as a main differentiator in relation to the previous terms
Bdigital finance^or Be-Finance^(Gomber et al. 2017,p.
541f).
Levels of transformation
To characterize the level of IT-induced change, the five de-
grees of business transformation from Venkatraman (1994)
have become a well-known framework. They comprise two
evolutionary levels (localized exploitation, internal integra-
tion) and three revolutionary levels (business process rede-
sign, business network redesign, business scope redefinition).
For the sake of simplicity, the three intra-organizational levels
shall be combined, which leads to three levels. They first serve
to characterize how the FinTech phase is different from the
previous digital banking phase (referred to as BBanking IT^in
Table 1): IT may either improve activities and processes with-
in the organization, improve the interplay with participants in
the business network or influence Bbusiness scope and the
logic of business relationships within the extended business
network^(Venkatraman 1994,p.83):
&At the internal organization level, FinTech comprises a
change in business focus from internal business processes
into adopting a customer-centric perspective (Alt and
Puschmann 2016,pp.36–40, pp. 94–102; Davies et al.
2016; Marjanovic and Murthy 2016; Pousttchi and
Dehnert 2018; Goodale 2012). Multiple aligned online
channels complemented and partly substituted the classi-
cal branch offices (Shim and Shin 2016, pp. 170–173;
Davies et al. 2016;Goodale2012) and core competencies
shifted from customer service, products and transaction
handling towards the management of online channels, da-
ta analytics and platforms (Alt and Puschmann 2016,pp.
33–34; Dhar and Stein 2017). This comes with a growing
number of digitalized (automated) processes (Ehrenfeld
2017), which are less integrated in core banking systems,
but are often developed inhouse following agile method-
ologies with defined API interfaces (Alt and Puschmann
2016, pp. 153–185).
&At the business network level, businesses in the FinTech
era are more networked with specialized external partners
(Shim and Shin 2016, pp. 172–176; Gimpel et al. 2018)
and competition tends to be more intense with lower mar-
gins (Alt and Puschmann 2016,pp.31–35; Davies et al.
2016). In addition to the traditional financial services
world, the competitive landscape ofFinTech now includes
new start-ups and lateral entrants (Davies et al. 2016), who
feature distinctive different corporate cultures than tradi-
tional financial services firms (Gomber et al. 2017,p.
540). Due to reduced switching costs among FinTech
Table 1 Specifics of FinTech on
three transformation levels Transformation level Banking IT (up to around 2008) FinTech (after 2008)
External organization
- Regulation low equity requirements, low
supervision
stricter rules; less protection
- Business model innovation branch business & offline services online & mobile services
- Governance of
infrastructures
centralized institution as focal firm distribution of tasks
- Payment style majority of customers using cash non-cash payments increase
Network organization
- Networking small number of network partners many specialized partners
- Margins and cost structure high margins in core business lower margins,
higher competition
- Competitors other traditional financial service
providers
start-ups, lateral entrants
- Culture hierarchical cooperative, agile
- Customer retention high customer loyalty reduced switching costs
Internal organization
- Business focus process-oriented customer-centric
- Customer interaction offline first online first, omni-channel
- Core competencies distribution, products, transactions online distribution; platforms
- Vertical integration high integration low integration
- Service portfolio banks are general service providers small diverse providers
- Automation processes require manual steps fully-automated processes
- IT-architecture monolithic systems, inhouse
development
modular systems, APIs
R. Alt et al.
providers, customer retention also tends to be lower
(Pousttchi and Dehnert 2018).
&At the external organization level, regulation changes
from lower equity requirements, less supervision, and
high protection from national legislation towards stricter
rules for held equity, more supervision on an international
level, and less protection offered by national laws (Alt and
Puschmann 2016,pp.25–27; Arner et al. 2017;Lawrence
2016;PousttchiandDehnert2018). This is also required
since the key infrastructures (e.g., central bank, payment
networks) will no longer be provided by centralized na-
tional bodies or focal firms but by electronic systems that
are operated by various network partners for specific tasks
(e.g., payments, investment, financing) or even work on a
fully decentralized basis (e.g., blockchains) (Alt and
Puschmann 2016, pp. 94–102; Němcová and Dvořák
2013). The widespread use of digital infrastructures al-
lows cost-efficient operations and the move towards cash-
less societies.
Based on the evolution of financial technologies as de-
scribed above, the term BFinTech^stands for all applications
using analog and primarily digital IT to deliver financial so-
lutions (Arner et al. 2016, p. 1272). It comprises a broad va-
riety of innovative ideas and new business models enabled by
digital technologies. FinTech solutions may be found for cus-
tomer interactions (e.g., personal finance management), for
payment services (e.g., payments based on blockchain tech-
nology), for funding and lending (e.g., crowdsourcing/
−funding), and for insuring (e.g., usage-based insurance).
Note that this represents a functional perspective, which dif-
fers from an institutional perspective that sees FinTech as spe-
cific types of (start-up) businesses. This functional perspective
opens the view to three sub-areas of FinTech:
&The specific nature of the insurance business, in particular
its focus on managing risks, has given rise to the term
BInsurTech^, which may be observed from 2015 onwards.
In this regard, Stöckli et al. (2018)conceiveInsurTechas
BA phenomenon comprising innovations of one or more
traditional or non-traditional market players exploiting in-
formation technology to deliver solutions specific to the
insurance industry.^
&The relevance of compliance and regulatory issues for the
financial industry has led to the combination of
Bregulatory^and Btechnology^,i.e.BRegTech^.Itde-
scribes the use of technology, particularly IT, in the con-
text of regulation, monitoring, reporting and compliance
(Deloitte 2016). RegTech solutions Baim to ease regulato-
ry compliance and substitute for manual labor in standard
regulatory and compliance processes^(Gomber et al.
2018,p.250).
&Finally, to emphasize the traditional banking business
within FinTech, some authors have chosen the notion of
BankTech (e.g., Schwab and Guibaud 2016). Despite rec-
ognizing technologies and innovations in the banking sec-
tor more precisely, it admittedly has not gained broad
attention.
Special issue contributions
A combination of these three FinTech sub-areas and the three
transformation levels yields a two-dimensional matrix. It pro-
vides a suitable frame for positioning the papers submitted to
the present special issue (see Fig. 2). From the eight papers,
two are cross-domain and relevant to all three FinTech do-
mains (papers 1 and 6), whereas five have a distinct focus
on BankTech (papers 2, 4, 5, 7, 8) and one paper (paper 3)
^f
BankTech InsurTech RegTech
Internal
Organization
External
Organization
Network
organization
FinTech domain
Transformation level
High frequency trading
8
Robo advisor platforms
7
Sustainable
bitcoin mining
5
Participation in mobile
ecosystems
4
Consumer decisions
in retail banking
2
Typ o l o g y of In su rtec h
innovations
3
Crowdsourcing investment
decisions
6
Startups taxonomy of service offerings
1
Fig. 2 Transformation aspects
addressed in the special issue
papers (numbers refer to
individual papers)
FinTech and the transformation of the financial industry
on InsurTech. Following the scope of Electronic Markets,
most papers address transformations affecting the network
and/or the external organizational level. The paper that pre-
sents research on the internal level (paper 8) refers to poten-
tials within an electronic market organization.
The first paper is titled BUnderstanding FinTech start-ups^
and authored by Henner Gimpel, Daniel Rau and Maximilian
Röglinger. It presents a taxonomy of service offerings based
on non-functional characteristics to classify consumer-
oriented FinTech start-up service offerings that is derived from
227 cases (Gimpel et al. 2018). Although the authors do not
explicitly apply a specific theoretical lens, they pursue a sys-
tematic taxonomy development process. The empirically val-
idated taxonomy serves to define the mechanics underlying
FinTech service offerings, thereby creating a foundation for
the design of innovative services. It helps to understand the
logic of consumer-oriented start-ups and is therefore assigned
to the external organization level.
The second paper explores Bthe digitalization impact on
consumer decision making in retail banking^.KeyPousttchi
and Maik Dehnert focus on how digitization of financial ser-
vices influences consumer decision-making in retail banking
(Pousttchi and Dehnert 2018). The paper contributes to under-
standing customer contacts and applies decision theory to
specify (personal, social, attitudinal, and other) factors that
influence decisions by retail banking consumers to search,
purchase, and finally use a new financial service. In the
FinTech transformation matrix, it may be assigned to the net-
work transformation level (design of external relationships
with customers) and the BankTech column.
The third article investigates Btransformational characteris-
tics and transformational capabilities of InsurTech
innovations^. Emanuel Stöckli, Chrisitian Dremel and Falk
Übernickel analyze 200 InsurTech innovations and distin-
guish between innovations that create value on the firm level
and those that create value on the network level (Stöckli et al.
2018). The paper provides a broad perspective on transforma-
tion since besides internal and network level aspects, the logic
of InsurTech businesses is discussed as well. The authors ap-
ply grounded theory to derive a typology of six InsurTech
innovations and resource-based view theory to identify 14
transformational capabilities that influence the six innovation
types.
The fourth paper contributes to BUnderstanding finan-
cial institutions’participation in the nascent mobile pay-
ments ecosystem^. Kui Du aims to explain why US cred-
it unions innovate their financial services by participating
in the nascent mobile payments ecosystem –or not (Du
2018). The author uses three theories to define the three
factors: prospect theory to define the factor Bperformance
loss^, resource dependency theory to define the factor
Bcustomer facing IT capabilities^, and institutional theory
to define the factor Bcompetitive pressure^. The research
contributes to BankTech with an emphasis on the exter-
nal organization level.
The fifth contribution is titled BFrom chaining blocks
to breaking even^and analyzes the long-term sustainabil-
ity of bitcoin proof-of-work mining between 2012 and
2016. Jona Derks, Jaap Gordijn and Arjen Siegmann an-
alyze the actors involved in the Bitcoin network as well as
the value flows between these actors, using publicly avail-
able data (Derks et al. 2018). They conclude that the
Bitcoin network has not been sustainable over most of
the investigated period and that the network will only
become sustainable if more computationally efficient al-
gorithms become available (leading to 50% reduction of
electricity costs) or if miners receive substantially higher
Bitcoin mining fees (+50%). The research applies network
theory and the E3 value modeling method to calculate
profitability and sustainability of the Bitcoin financial net-
work, in particular for the proof-of-work mining method.
The sixth research raises the question BHow do investors
decide?^and investigates factors that influence how crowd-
investors make investment decisions. Andreas Hoegen,
Dennis M. Steininger and Daniel Veit find that decision
making in crowdfunding differs from traditional financing
decisions. They provide insight in crowdsourcing processes
at the network level and apply decision theory to analyze
investment decisions in crowdfunding (Hoegen et al.
2018).Basedonameta-analysisof68publishedstudies,
they find differences between factors influencing invest-
ment decisions in crowdfunding versus traditional financial
decisions. Social capital is identified as a key factor for
crowdfunding investment decisions and requires not only
personal contacts to important individuals and investors but
also a wide social reach to create awareness for the cam-
paign and win many early investors. Other factors required
for attracting crowdfunding investments are digital plat-
forms as well as platform design and features.
The seventh contribution from the special issue call is
on BDesigning a robo-advisor for risk-averse, low-budget
Investors^. Dominik Jung, Verena Dorner, Christof
Weinhardt and Hakan Pusmaz observed that customers
were reluctant to adopt new FinTech solutions from banks
and identified a lack of usability as a main inhibitor (Jung
et al. 2018). They address this problem by applying a
combined approach based on technology acceptance the-
ory (Bease-of-use^and Busefulness of technology^)and
cognitive load theory (Bcognitive limitations of the user^)
to derive four design principles for firms that aim at de-
veloping robo-advisor solutions in banking. The valida-
tion shows that these principles are helpful in
implementing and improving the customer-oriented
R. Alt et al.
perspective, which has been recognized as an important
ingredient of FinTech.
The eighth and final paper BComputational speed and
high-frequency trading profitability^was authored by
Alexandru-Ioan Stan and focuses on high frequency
traders in equity markets. It pursues the research question
of how data processing power, news accuracy, and news
arrival intensity may affect trading profitability under dif-
ferent trading strategies (Stan 2018).BasedonITproduc-
tivity theories the author evaluates how the performance of
high frequency securities trading is affected by the trading
behavior of the traders, the market conditions for securities
trading, and the news accuracy and news intensity offered
to the traders. The Monte Carlo simulation experiments
reveal that IT investments enhance the trading performance
of ultra-high-frequency traders more than high-frequency
traders.
Summary and outlook
The goal of this preface was to introduce the FinTech special
issue with a summary on the evolution of the FinTech phe-
nomenon and to derive the formative elements, which may
serve to explain why FinTech provides disruptive potential
for the financial industry and goes beyond a simple linear
continuation of existing developments. As described in the
retrospective, financial technologies date back to the begin-
ning of financial institutions and the current FinTech phase
started around 2008. On the one hand, this phase builds on
the evolution and convergence of multiple technologies (e.g.
mobile devices, wireless networks, web technologies), on the
other hand, neither customer-orientation nor innovation or en-
trepreneurial spirit featured the same presence and combina-
tion prior to the FinTech movement. To structure how
FinTech-induced transformation of the financial industry
might occur, the preface introduced a framework that divides
FinTech regarding the subdomains banking (BankTech), in-
surance (InsurTech), and regulations (RegTech) at the three
transformation levels: internal, network and external.
First, the submissions to the special issue reflect the dom-
inance of the banking sector within the FinTech domains.
Although these papers provide additional insights in focused
areas of the broad field of FinTech, more research on the two
other FinTech domains (InsurTech, RegTech) deems neces-
sary. While the paper on InsurTech points at the existence of
numerous innovations, a brief analysis undertaken on Google
Scholar confirmed the impression of only limited available
research in the RegTech domain. This is remarkable since
legal and regulatory requirements and checks have accrued
in view of the growing regulation that has occurred in the
financial industry after the financial crisis of 2008. RegTech
solutions aim to automate standard procedures and to provide
suggestions for more complex decisions. As the analysis from
Deloitte (2016) suggests, RegTech start-ups not only focus on
compliance, but also on identity management, risk manage-
ment, regulatory reporting and transaction monitoring. From
these new business models, an increased outsourcing of reg-
ulatory activities may be expected, which will lead to more
digitalization and networking in the financial value chains.
Second, only little attention has also been given to the link
of FinTech innovations to the primary sector. As mentioned in
the third paragraph of this preface, the main purpose of the
financial sector is to enable transactions in the primary market.
Among the examples payment and cash flow solutions, that
support supply chains in the manufacturing industry, are inte-
grated. Another example is the diffusion of (smart) service
models (e.g., seamless transactions within the sharing econo-
my) which are more transaction-intensive than the goods-
oriented models. Such innovations provide opportunities for
incumbents, start-ups, and intermediaries, thereby blurring the
boundaries between industry sectors and the finance sector.
Besides an increased integration of FinTech solutions with
the primary sector, another path of integration points at a
stronger integration in the secondary sectors.With the maturiy
of FinTech businesses, questions of interoperability between
FinTech systems and traditional core banking systems will
have to be addressed to overcome the isolated nature of many
today's FinTech models. New business models emerge at
these interfaces, which will further propel the FinTech move-
ment at the network level. Clearly, more research on business
model innovations across industries is needed here.
Third, these blurring boundaries are fueled even further by
the debate on blockchain (or distributed ledger) technologies.
By changing the transfer of digital assets and property rights
within and across industries they are believed to create new
FinTech business opportunities. Although research in this area
has emerged from the banking domain (e.g., electronic cur-
rencies, in particular Bitcoin), broader research on the use of
these infrastructures of value is only evolving and more en-
gaged scholarly attention is needed to fully grasp the develop-
ments at the interface of different technologies and industries
as well as the related flows of assets and services. One possi-
ble path of evolution was suggested in a recently published
editorial of Electronic Markets on the Bco-evolution
hypothesis^, whereby the availability of decentralized techno-
logical infrastructures might also enable decentralized forms
of conducting business (Alt 2018).
Fourth, FinTech businesses are more IT companies than
financial providers were before. However, even for FinTech
companies IT supports a business purpose and they also have
to meet the classical and recurring challenge in IT organiza-
tions known as Bmisalignment between business and IT^
(Peppard and Ward 1999). The difference in organizational
FinTech and the transformation of the financial industry
cultures between the existing finance industry and entrepre-
neurial startups is also visible in the way IT architecture is
envisioned: IT managers in the incumbent industry tend to
focus on designing architectures, definitions and ontologies,
instead of focusing on business impact or customer-orienta-
tion. In contrast, business managers often demand Btell me
which technology we need, then I will deal with the business
impact^. This misalignment between ITand business needs to
be solved for establishing an organization-wide digital
mindset and for adopting the entrepreneurial spirit that is
known from start-up companies. While incumbents need to
learn how to generate innovation from Binside out^and to
implement the outcome of their innovation entities (e.g.,
research/innovation labs, think tanks, satellite start-ups) on a
larger scale, start-up businesses will also need to meet the
challenge of scaling up and of maintaining the innovative
start-up momentum with their organizational growth.
This special issue aimed to shed light on several fields
that merit further research. Hopefully, the collection of
research articles included in the special issue provided
some impulse in this regard and towards financial ser-
vices to become more customer-oriented. We wish to
thank all authors, reviewers and editors that were in-
volved in making this special issue possible and hope
you enjoy reading it.
References
Alt, R. (2018). Electronic Markets and current general research.
Electronic Markets, 28(2), 123–128. https://doi.org/10.1007/
s12525-018-0299-0 .
Alt, R., & Puschmann, T. (2012). The rise of customer-oriented banking -
electronic markets are paving the way for change in the financial
industry. Electronic Markets, 22(4), 203–215. https://doi.org/10.
1007/s12525-012-0106-2.
Alt, R., & Puschmann, T. (2016). Digitalisierung der Finanzindustrie–
Grundlagen der Fintech-Evolution. Springer, Berlin/ Heidelberg.
Arner, D. W., Barberis, J., & Buckley, R. P. (2016). The evolution of
FinTech: A new post-crisis paradigm? Georgetown Journal of
International Law, 47(4), 1271–1319.
Arner, D. W., Barberis, J., & Buckley, R. P. (2017). FinTech, RegTech
and the reconceptualisation of financial regulation. Northwestern
Journal of International Law and Business, 37(3), 371–413.
Bain & Company (2017). Evolving the customer experience in banking.
http://www.bain.de/en/Images/BAIN_REPORT_Evolving_the_
Customer_Experience_in_Banking.pdf, accessed July, 23, 2018.
Beck, H. (2001). Banking is essential, banks are not. The future of finan-
cial intermediation in the age of the internet. Netnomics, 3(1), 7–22.
https://doi.org/10.1023/A:1009927623530.
Bons, R. W. H., Alt, R., Lee, H. G., & Weber, B. (2012). Banking in the
internet and mobile era. Electronic Markets, 22(4), 197–202. https://
doi.org/10.1007/s12525-012-0110-6.
Bouwman, H., den Hooff, V., van de Wijngaert, L., & van Dijk, J.(2005).
Information and communication technology in organizations:
Adoption, implementation, use and effects. Sage Publications.
https://doi.org/10.4135/9781446211519.
CBInsights (2018). Global Fintech report Q1 2018. https://www.
cbinsights.com/research/report/fintech-trends-q1-2018/, accessed
July, 23, 2018.
Davies, S., Jackett, D., Kashyap, M., Nicolacakis, D., Qureshi, M.,
& Shipman, J., (2016). Customers in the spotlight: How
FinTech is reshaping banking - Global FinTech Survey 2016.
PricewaterhouseCoopers. https://www.pwc.com/il/he/bankim/
assets/fin-tech-banking.pdf, Accessed June 9, 2018.
Deloitte (2016). RegTech is the new FinTech: How regulatory technology
is helping firms better understand and manage their risks. Deloitte.
https://www2.deloitte.com/content/dam/Deloitte/ie/Documents/
FinancialServices/IE_2016_FS_RegTech_is_the_new_FinTech.
pdf,AccessedJuly,23,2018.
Derks, J., Gordijn, J., & Siegmann, A. (2018). From chaining blocks to
breaking even: A study on the profitability of bitcoin mining from
2012 to 2016. Electronic Markets 28(3).
Dhar, V., & Stein, R. M. (2017). FinTech platforms and strategy - inte-
grating trust and automation in finance. Communications of the
ACM, 60(10), 32–35. https://doi.org/10.1145/3132726.
Du, K. (2018). Complacency, capabilities, and institutional pressure:
Understanding financial institutions'participation in the nascent mo-
bile payments ecosystem. Electronic Markets, 28(3). https://doi.org/
10.1007/s12525-017-0267-0.
Ehrenfeld, J. (2017). Securities market automation from standards to self-
learning machines: Current state and future perspectives. Journal of
Securities Operations & Custody, 9(3), 245–252.
Gellrich, T., Hackethal, A., & Holzhäuser, M. (2005). Vertical integration
and bank performance. In O. K. Ferstl, E. J. Sinz, S. Eckert, & T.
Isselhorst (Eds.), Wirtschaftsinformatik 2005 (pp. 547–566).
Heidelberg: Physica. https://doi.org/10.1007/3-7908-1624-8_29.
Gimpel, H., Rau, D., & Röglinger, M. (2018). Understanding FinTech
start-ups - a taxonomy of consumer-oriented service offerings.
Electronic Markets, 28(3). https://doi.org/10.1007/s12525-017-
0275-0.
Gomber, P., Koch, J.-A., & Siering, M. (2017). Digital finance and
FinTech: Current research and future research directions. Journal
of Business Economics, 87(5), 537–580. https://doi.org/10.1007/
s11573-017-0852-x.
Gomber, P., Kauffman, R. J., Parker, C., & Weber, B. W. (2018). On the
FinTech revolution: Interpreting the forcesof innovation, disruption,
and transformation in financial services. Journal of Management
Information Systems, 35(1), 220–265. https://doi.org/10.1080/
07421222.2018.1440766.
Goodale, J. (2012). Bank 1.0 and Bank 2.0 success entails learning from
each other’s best practices. Whitepaper TSYS, https://
digitalpayments.files.wordpress.com/2013/03/bank-1-0-and-bank-
2-0.pdf,AccessedJune9,2018.
Gopalan, S., Jain, G., Kalani, G., & Tan, J. (2012). Breakthrough IT
banking. McKinsey on Business Technology, 26(Spring), 30–35.
Hoegen, A., Steininger, D.M., & Veit, D. (2018). How do investors de-
cide? An interdisciplinary review of decision-making in
crowdfunding. Electronic Markets, 28(3). https://doi.org/10.1007/
s12525-017-0269-y
Jung, D., Dorner, V., Weinhardt, C., & Pusmaz, H. (2018). Designing a
robo-advisor for risk-averse, low-budget consumers. Electronic
Markets, 28(3). https://doi.org/10.1007/s12525-017-0279-9
Lawrence, G. B. (2016). Adaptive financial regulation and RegTech - a
concept article on realistic protection for victims of bank failures.
Duke Law Journal, 66(3), 567–604.
Lee, I., & Shin, Y. J. (2018). Fintech: Ecosystem, business models, in-
vestment decisions, and challenges. Business Horizons, 61(1), 35–
46. https://doi.org/10.1016/j.bushor.2017.09.003.
Malone, T. W., Yates, J., & Benjamin, R. I. (1987). Electronic markets
and electronic hierarchies. Communications of the ACM, 30(6),
484–497. https://doi.org/10.1145/214762.214766.
R. Alt et al.
Marinč, M. (2013). Banks and information technology: Marketability vs.
relationships. Electronic Commerce Research, 13(1), 71–101.
https://doi.org/10.1007/s10660-013-9107-2.
Marjanovic, O., & Murthy, V. (2016). From product-centric to customer-
centric services in a financial institution –Exploring the organiza-
tional challenges of the transition process. Information Systems
Frontiers, 18(3), 479–497. https://doi.org/10.1007/s10796-015-
9606-x.
Němcová, Z., & Dvořák, J. (2013). Technology payment cards commu-
nication with banking institutions in the field of cashless payment.
Scientific papers of the University of Pardubice. Series D, Faculty of
Economics & Administration, 18(26), 116–128.
OECD (2018). Income statement and balance sheet. https://stats.oecd.
org/, accessed July, 23, 2018.
Olanrewaju, T. (2013). The rise of the digital bank. Financial Times, Oct.
25.
Peppard, J., & Ward, J. (1999). ‘Mind the gap’: Diagnosing the relation-
ship between the IT organisation and the rest of the business.
Journal of Strategic Information Systems, 8(1), 29–60. https://doi.
org/10.1016/S0963-8687(99)00013-X.
Pousttchi, K., & Dehnert, M. (2018). Exploring the digitalization impact
on consumer decision making in retail banking. Electronic Markets,
28(3). https://doi.org/10.1007/s12525-017-0283-0.
Schwab, F., & Guibaud, S. (2016). The rise of BankTech–the beauty of a
hybrid model for banks. In S. Chishti & J. Barberis (Eds.), The
FinTech book (pp. 245–247). Wiley, Chichester.
Shim, Y., & Shin, D. (2016). Analyzing China’s fintech industry from the
perspective of actor–network theory. Telecommunications Policy,
40(2–3), 168–181. https://doi.org/10.1016/j.telpol.2015.11.005.
Stan, A.-I. (2018). Computational speed and high-frequency trading prof-
itability: An ecological perspective. Electronic Markets, 28(3).
https://doi.org/10.1007/s12525-017-0264-3.
Stöckli, E., Dremel, C., & Uebernickel, F. (2018). Exploring characteris-
tics and transformational capabilities of InsurTech innovations to
understand insurance value creation in a digital world. Electronic
Markets, 28(3). https://doi.org/10.1007/s12525-018-0304-7.
Venkatraman, N. (1994). IT-enabled business transformation: From auto-
mation to business scope redefinition. Sloan Management Review,
35(2), 73–87.
Zhu, K., Kraemer, K. L., Xu, S., & Dedrick, J. (2004). Information tech-
nology payoff in E-business environments: An international per-
spective on value creation of E-business in the financial services
industry. Journal of Management Information Systems, 21(1), 17–
54. https://doi.org/10.1080/07421222.2004.11045797.
FinTech and the transformation of the financial industry
