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Jimmy Bumann, Marc K. Peter
Action Fields of Digital Transformation - A Review and Comparative
Analysis of Digital Transformation maturity Models and Frame-
works
Keywords:
Digital Transformation, Frameworks, Strategy, Digital Maturity Models, Organization,
Corporate Culture, Technology, Customers, Employers
Summary
For many organisations, digital transformation is a strategic priority in order to renew
their business and stay competitive. However, managers find it difficult to set and im-
plement digital agendas because they are unsure about the process, topics and setup.
In order to provide management with an overview of the most important topics, a liter-
ature review has identified eighteen validated digital maturity models and frameworks
which describe various dimensions or action fields to be considered for a digital trans-
formation strategy. In a comparative analysis of over one hundred described dimen-
sions, the most often cited dimensions were identified, namely strategy, the organisa-
tion, corporate culture, technology, the customer and people (employees). The six
identified dimensions/action fields provide an important framework for businesses to
succeed in digital transformations.
Zusammenfassung
Für viele Unternehmen ist die digitale Transformation eine strategische Priorität, um
ihr Geschäft zu erneuern und wettbewerbsfähig zu bleiben. Führungskräfte haben je-
doch Schwierigkeiten bei der Erstellung und Umsetzung digitaler Agenden, da sie be-
züglich Prozess, Themen und Struktur unsicher sind. Um dem Management einen
Überblick über die wichtigsten Themen zugänglich zu machen, hat eine Literaturre-
cherche achtzehn validierte digitale Reifegradmodelle und Konzepte identifiziert, die
verschiedene Dimensionen (oder Handlungsfelder) beschreiben, welche für eine digi-
tale Transformationsstrategie zu berücksichtigen sind. In einer vergleichenden Ana-
lyse von über hundert beschriebenen Dimensionen wurden die am häufigsten
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genannten Dimensionen identifiziert, nämlich die Strategie, die Organisation, die Un-
ternehmenskultur, Technologien, die Kundinnen und Kunden sowie die Mitarbeiten-
den. Die sechs identifizierten Dimensionen/Handlungsfelder bieten ein wichtiges Mo-
dell für eine erfolgreiche digitale Unternehmenstransformation.
1 Introduction
Digital technology is an integral part of our society and economy (Andersson et al.,
2018; Gimpel et al., 2018). Across industries, management faces increasing pressure
to make digital transformation a strategic priority and embrace the opportunities pre-
sented by emerging digital technology (Christensen, 1997; Horlacher & Hess, 2016;
Smolinski et al., 2017; Zavolokina, Dolata & Schwabe, 2016). The challenge of digital
transformation goes along with several other challenges such as the changing cus-
tomer behaviour, high regulatory requirements and shrinking margins (Smolinski et al.,
2017). Moreover, new disruptive players – for instance FinTech entrepreneurs in the
banking sector - but also established large technology companies attack existing in-
cumbents in virtually all of their services (Accenture, 2015; Grebe et al., 2016; Mead,
2016). Hence, industries and organisations within need to react and adopt to the new
digital challenges. The question for them is not when to make digital transformation a
strategic priority, but how to embrace it and position it as a competitive advantage
(Hess et al., 2016; Van der Zande, 2018).
Unfortunately, many executives still struggle to set and implement digital agendas be-
cause they are unsure about the process, topics and setup (Hebbert, 2017; Peter,
2017; Römer et al., 2017). Bughin & Van Zeebroeck (2017) assert that managers are
aware of the need and urgency to react, but they only have little guidance to determine
the right course of action; and following Hess et al. (2016), they are struggling to keep
up with the new digital reality. A recent study (Bughin & Van Zeebroeck, 2017) con-
firmed that only a small minority of companies are successfully undertaking digital
transformation consistent with a clearly articulated corporate strategy. Furthermore,
Gimpel et al. (2018) revealed that most research output has focused on specific facets
of digital transformation or case-based evidence. However, there seems to be a lack
of an understanding as to what management should investigate and cover when un-
dertaking digital transformation initiatives. This lack of an integrated approach to
15
develop a company-wide digital transformation strategy is likewise identified by Hess
et al. (2016); Hyvönen (2018) and Ismail, Khater & Zaki (2017).
A few researchers such as Gimpel et al. (2018); Peter (2017) and Valdez-De-Leon
(2016) made attempts to close this gap by proposing well-founded, cross-industry
frameworks of action fields for digital transformation. Gimpel et al. (2018) argue that
the relevance of the action fields strongly depends on industry and company specific
characteristics.
On the practical side, consulting firms have published several practice-oriented publi-
cations about digital transformation. This also includes digital maturity models which
assess the digital maturity of an organisation without, in many cases, proposing con-
crete actions to enhance their digital maturity. On the academic side, however, re-
search insights in this field are limited (Gsell, 2017). This research gap leads to the
enquiry into the identification and validation of the dimensions or rather action fields of
digital transformation.
2. Digitisation, Digitalisation and Digital Transformation
In the wider field of digital transformation, additional terms appear next in the literature,
including “digitisation” and “digitalisation”. Although the three concepts have distinct
meanings, they often are used interchangeably as research confirmed (Bloomberg,
2018). While Bounfour (2016) has already revealed a lack of clear definitions, Unruh
& Kiron (2017) assert that no consensus on the difference of these terms exist and
their definition strongly hinge on the person or organisation using them. Literature tries
to describe the three terms based on their scope (i.e. a narrow to broad perspective).
The first phase of transformation is described as digitisation, which Maltaverne (2017)
refers to as “the conversion from analogue to digital” (e.g. digitisation of data). Digital-
isation is the second phase and means “the process of using digital technology and
the impact it has” (e.g. digitalisation of a process). Unruh & Kiron (2017) have a similar
understanding and describe digitalisation as “the innovation of business models and
processes that exploit digital opportunities”.
Finally, digital transformation is the broadest of the three terms and encompasses the
whole enterprise, not just a specific process. Maltaverne (2017) describes it as the
designing of “new ways of doing things that generate new sources of value”. According
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to Unruh & Kiron (2017) it is “[…] a systems-level transition that alters behaviours on a
large scale” and it arises when new digital business models and processes restructure
economies. Digital transformation is customer-driven and requires cross-cutting organ-
isational change along with the implementation of digital technologies (Bloomberg,
2018; Peter, 2017). Reddy and Reinartz (2017) define digital transformation as “[…]
the use of computer and internet technology for a more efficient and effective economic
value creation process” and in a broader sense “[…] it refers to the changes that new
technology has on the whole; on how we operate, interact, and configure, and how
wealth is created within this system”. Hebbert (2017) also asserts the dissimilarity of
different definitions and in her opinion, real digital transformation is “[…] about a com-
pany’s ability to react and successfully utilise new technologies and procedures – now
and in the future”. The three terms/concepts are summarised and visualised in figure 1.
Fig. 1: Definition of Digitisation, Digitalisation and Digital Transformation (based on Maltaverne, 2017)
Digital transformation, which is the focus of this book chapter, offers great opportunities
and simultaneously high risk for organisations (Moreno et al., 2015). Bughin & Van
Zeebroeck (2017) point out that organisations which don’t react to digital disruption, or
only partially, are very likely to take major hits on their revenue and profits.
In order to plan and execute digital transformation, organisations must have a clear
strategy and place “digital” at the heart of their business strategies (Gill & Vanboskirk,
2016). Ismail, Khater & Zaki (2017) and Kane et al. (2015) argue that several studies
of success stories revealed that the enhanced competitive positioning of successful
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companies do primarily depend on strategies which their leaders deploy and only sec-
ondarily on the technologies they adopt. Therefore, digital transformation is driven by
strategy, not technology. McKeown & Philip (2003) stated a while ago that business
transformation is an overarching concept which incorporates several competitive strat-
egies that companies must adopt if they want to bring significant improvements in busi-
ness performance A few researchers (Hess et al., 2016; Ismail, Khater & Zaki, 2017;
Matt, Hess & Benlian, 2015; McDonald, 2012; Singh & Hess, 2017) even contemplate
that such an important and challenging strategic topic as digital transformation requires
a standalone strategy which is not part of any other functional or organisational strat-
egy. Such a company-wide overarching digital transformation strategy goes beyond
functional thinking and holistically addresses the opportunities as well as the risks orig-
inating from digital technologies (Singh & Hess, 2017). Moreover, such a strategy will
support organisations in their digital transformation journey and it can act as an unifying
concept to coordinate, prioritise and implement all of the digital transformation efforts
(Hess et al., 2016; Singh & Hess, 2017). Hence, Ismail, Khater & Zaki (2017) propose
to position digital transformation at the level of a business strategy. It is argued that
this should permit organisations to incorporate the numerous opportunities presented
in the digital environment in a way which is difficult for competitors to replicate (Ismail,
Khater & Zaki 2017; Ross, Sebastian & Beath, 2017). Figure 2 visualises the position-
ing of the digital transformation strategy in the context of business and functional strat-
egies.
Fig. 2: Positioning of Digital Transformation Strategy (based on Ismail, Khater & Zaki, 2017)
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3 Review of Digital Transformation Frameworks
Becker, Knackstedt & Pöppelbuss (2009) assert that although many maturity models
have been developed in recent years, the procedures and methods that led to these
models have been vaguely documented. Therefore, the authors tried to develop a
manual for methodically well-designed maturity models. Their seven-step development
process was applied and further developed to a four-step process by Egeli (2016) and
Neff et al. (2014). Unless maturity models which aim to assess the digital maturity of
organisations, the envisaged framework with action fields should rather propose differ-
ent dimensions, which then will be analysed to define different actions or strategies
that help organisations to conduct a successful transformation. Most maturity models
are also divided into different dimensions or action fields. The methodology for the
development and identification of a generic and supported digital transformation frame-
work partly relates to a simplified methodological approach suggested by Becker,
Knackstedt & Pöppelbuss (2009), Egeli (2016) and Neff et al. (2014).
The first step of the literature review consists of the problem identification: The need
and practical relevance for a wider and validated (i.e. grounded) digital transformation
framework has already been discussed before. For the second step, existing digital
maturity models and transformation frameworks shall be identified. Here, a literature
review has revealed existing digital transformation frameworks. According to Webster
& Watson (2002) a structured approach consists of the querying of leading scholarly
databases using different keywords and includes backward and forward searches on
the basis of relevant articles. Following the literature review, these models and frame-
works shall then be compared and evaluated regarding their dimensions. In the third
step, a new framework shall be defined according to the results of the comparison, i.e.
comparative analysis. For each defined dimension, an additional literature review will
help to determine and describe the sub-dimensions. In the fourth and final step, the
framework shall be validated in the market. This book chapter covers sections one to
three, while the framework validation is still ongoing.
The literature review resulted in almost one hundred articles about digital transfor-
mation maturity models and frameworks. Only those from peer-reviewed journals and
where the dimensions were validated though research were considered for further
analysis. This resulted in a total of eighteen articles. The models and frameworks vary
in terms of origin, industry limitation (if any), and their academic or practical background
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and/or purpose. In addition, the rather heterogeneous frameworks strongly varied in
terms of the amount of information disclosed. Some frameworks such as Berghaus,
Back & Kaltenrieder (2017) or Schäfer et al. (2015) included broad and deep infor-
mation about the sub-categories and the methodological approach, whereas other au-
thors decided to only disclose a small amount of information. For a framework to be
considered as a relevant one for the purpose of a comparative analysis, the relevant
authors had to provide an elaborate maturity model or framework. Moreover, the frame-
work either had to stem from researchers or from organisations with a sound reputa-
tion, such as international consultancy firms. For the comparative analysis, a concept-
matrix – as suggested by Webster & Watson (2002) – has been employed. The major-
ity of frameworks are maturity models which aim to assess the digital maturity of an
organisation either with a self-assessment or with an assessment through a third party,
where some frameworks purely provide an overview for digital transformation topics.
The first reviewed model from Anderson & William (2018) describe Deloitte’s digital
maturity model, which focuses on the telecommunications industry. The model evalu-
ates digital capabilities across five clearly defined business dimensions to create a
wider view of digital maturity across the organisation. The dimensions include strategy,
technology, operations, organisation and culture, along with the customer. The model
provides guidelines for a clear path throughout the transformation journey. A similar,
but cross-industry digital maturity model from the University of St. Gallen and Cross-
walk is described by Berghaus, Back & Kaltenrieder (2017): Since its launch in 2014,
the two parties have been examining the digital maturity of organisations in Switzer-
land, Germany and Austria. It is a self-assessment survey which comprises of nine
dimensions, including the customer experience, product innovation, strategy, the or-
ganisation, process digitisation, collaboration, information technology, culture and ex-
pertise, and transformation management. A third digital maturity model is provided by
De Carolis et al. (2017): The digital readiness assessment maturity model relates to
the manufacturing industry and includes four different dimensions, which assess vari-
ous areas in which manufacturing key processes can be grouped. The analysis dimen-
sions in this model include process, monitoring and control, technology, and the organ-
isation. Finally, Gill & Vanboskirk (2016) present the cross-industry Forrester digital
maturity model 4.0: The model helps organisations to assess their overall digital read-
iness across the four dimensions of culture, technology, the organisation, and insights.
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Forrester reviews and updates the model periodically for continued relevance and ac-
curacy.
Gimpel et al. (2018) provide a framework of action fields for cross-industry application.
This digital transformation framework consists of six actions fields, including the cus-
tomer, the value proposition, operations, data, the organisation and transformation
management. Moreover, each action field includes four action items. The action fields
of customer and value proposition take an external perspective, whereas operations
and the organisation take an internal view. The action field data links both perspectives,
whereas transformation management addresses how to progress from an “as-is” to a
digitally enhanced “to-be” state. By considering these action fields, organisations will
ensure that they develop a wider yet concrete perspective on digital transformation.
Here, Gunsberg et al. (2018) describe an organisational agility maturity model for uni-
versities. The authors identified the baseline model required to measure whole-of-or-
ganisation agility. The authors completed a qualitative single case study within a uni-
versity. The following high-level categories are considered: Leadership and manage-
ment, innovation, strategy, culture, learning and change, along with structure. Isaev,
Korovkina & Tabakova (2018) provide a cross-industry company readiness evaluation
for digital business transformations. Their quantitative model evaluates the current
state/readiness of an organisation’s IT department in terms of digital transformation
since this will determine the organisation’s overall potential for further development.
Seven dimensions were determined which influence the overall success, including
strategy, the organisation, relationships with users, partnerships, operations, technol-
ogies, and innovation.
Another cross-industry model, derived in collaboration with Deloitte, is presented by
Kane et al. (2016). The authors suggest a model which aligns culture, people, structure
and tasks so that executives can effectively address the challenges of a constantly
changing digital landscape. They also describe the strategy dimension as a separate
component. For the telecommunications industry, Newman (2017) presents a practical
approach to transformation, backed by global advisory firms. The model can be used
to provide a snapshot of an organisation, identify possible investment priorities and
manage the journey itself. The model has five dimensions, including the customer,
strategy, technology, operations, culture, people and the organisation. From Forrester,
in collaboration with Huawei, Roland Berger, SAP and others, Open Roads (2017)
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provides a cross-industry “Open Digital Maturity Model” tool. It enables organisations
to benchmark their current digital status against their aspirations and other relevant
parties. The intended outcome of an assessment are measurable goals that will help
the assessed organisation accelerate its digital transformation progress. The six di-
mensions include strategic dynamism, digital culture, talent and skills, the optimal cus-
tomer experience, data centricity, service innovation and optimized delivery, and digital
technology leadership.
A Swiss study (Peter, 2017) aimed to reveal the current situation of digital transfor-
mation within Swiss organisations. It enabled the identification of seven cross-industry
action fields. They include customer centricity, digital business development, digital
leadership and culture, process engineering, digital marketing, new technologies,
along with the cloud and data. A separate digital maturity assessment and transfor-
mation canvas for strategy workshops, based on the seven action fields, are available.
A broad German cross-industry digital maturity model is described by Peyman et al.
(2014) and Schäfer et al. (2015): Their model consists of thirty-two individual criteria in
eight dimensions. The dimensions include strategy, leadership, products, operations,
culture, people, governance, and technology. The model provides an excellent basis
for organisations to classify themselves into a category of digital maturity. However, it
does not provide any guidance to increase the maturity level of an organisation. A
practical cross-industry model is presented by Rogers (2016) with a Digital Transfor-
mation Playbook. According to Rogers, digital forces reshape five key domains of strat-
egy, which include customers, competition, data, innovation and value. These five do-
mains describe the landscape of digital transformation. Here, digital technologies are
redefining many of the underlying principles of strategy and changing the rules by
which organisations must operate in order to succeed.
For the manufacturing industry, the digital future readiness transformation model pre-
sented by Schlaepfer et al. (2017) aims to reflect the current level of readiness of Swiss
consumer businesses and industrial organisations for the digital future. The model was
developed via face-to-face interviews with senior management of Swiss manufacturing
firms. To determine the future readiness of an organisation, they defined four dimen-
sions in the transformational model: The organisation, the culture, people and the dig-
ital environment. Schumacher, Erol & Sihn (2016) also describe a maturity model for
Industry 4.0 readiness and maturity for the manufacturing industry. The empirically
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grounded maturity model encompasses nine dimensions and sixty-two items to be as-
sessed. The nine dimensions include products, customers, operations and technology
in order to assess the basic enablers, while strategy, leadership, governance, culture
and people allow for the inclusion of organisational aspects into the assessment.
Valdez-De-Leon (2016) presents a digital maturity model for the telecommunications
industry. The model aims to offer a structured view of digital transformation that can
help organisations to benchmark themselves against peers as they advance their
transformation. The model includes the seven dimensions of strategy, organisation,
culture, value chain/eco-system, operations, technology, and innovation. A cross-in-
dustry digital readiness assessment is provided by Wallner (2016) in collaboration with
2b Ahead and KPMG: It’s aim is to provide an accurate picture of an organisation’s
digital readiness, portrayed in seven key areas. They include strategy, culture, moni-
toring, customers, the organisation and control, technology management, as well as
people and capabilities. Finally, Westerman et al. (2011) describe a cross-industry dig-
ital transformation roadmap for “billion-dollar organisations”, supported by Capgemini
Consulting. They propose a framework which consists of three building blocks, includ-
ing the customer experience, operational processes, and business models.
The eighteen identified models and frameworks include 115 dimensions (an average
of six per model/framework). Table 1 provides an overview of the models/frameworks
and their dimensions/action fields.
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Table 1: Comparison of existing Digital Transformation Models and Frameworks (own illustration)
The analysis identifies the six most applied dimensions/action fields, namely technol-
ogy, culture (in 13 models/frameworks), technology (12), strategy (11), organisation
(10), customer/s (10) and people/employees (9). The threshold was defined at 40%,
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meaning that these dimensions appear in at least 40% of the total group of frameworks
and models, or in other words, in almost every second framework.
While three models cover all six dimensions (Berghaus et al., 2017; Newman, 2017;
and Wallner, 2016), other wider models such as Anderson & William (2018), Open
Roads (2017) and Schumacher, Erol & Sihn (2016) incorporate five of them, but in
exchange they additionally cover other action fields/dimensions such as leadership,
governance, innovation, or data centricity. Further often applied dimensions include
operations, innovation, products, and leadership. The results depict that in average,
6.4 action fields/dimensions are covered. With nine different dimensions (or eleven,
depending on the definition), the model from the University of St. Gallen and Crosswalk
(2017) covers most dimensions. On the other hand, the oldest model from 2011, cre-
ated by the MIT Center for Digital Business and Capgemini Consulting, includes three
“building blocks”.
Since each model has its unique characteristics, strength and weaknesses, the com-
parison led to several challenges. Firstly, some models used a certain topic as a main
dimension whereas others used it indirectly as well, but only as a sub-dimension. For
instance, researchers like Isaev, Korovkina & Tabakova (2018) or Valdez-De-Leon
(2016) used “eco-systems and partnerships” as a dimension, whereas other authors
defined it as a sub-category of another dimension. Anderson & William (2018) consider
eco-systems under the strategy dimension, whereas Schlaepfer et al. (2017) catego-
rise eco-systems under the organisation dimension. Since the aim of this comparison
was to identify the most frequently used top dimensions, the concept-matrix generally
only covered the high-level dimensions of each framework/model and neglected the
sub-dimensions.
Secondly, for certain dimensions with the same meaning, slightly different terms were
used by different authors. For instance, dimensions such as information technology
(Berghaus et al., 2017) and technology management (Wallner, 2016) were summa-
rized in the technology dimension. This also refers to other examples such as customer
centricity (Peter, 2017) or customer experience (Berghaus et al., 2017; Open Roads,
2017) which were combined in the customer dimension. On the other hand, several
authors aggregated different topics in one dimension. For instance, Anderson & Wil-
liam (2018) combined organisation and culture, Peter (2017) combined digital leade-
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rship and culture, and Berghaus et al. (2017) combined culture and expertise. In order
to increase comparability and consistency levels, in such cases, both terms were con-
sidered separately since other authors listed the terms individually. In the last case,
expertise was first listed as a new additional dimension. However, the author later re-
vealed that the people dimension mainly refers to capabilities and skills of employees.
Thus, expertise was consequently also moved into this dimension. The comparative
analysis was therefore also an iterative process.
And finally, most models and frameworks are generic, similar to these of a general
business model canvas, while others, for instance Gill & Vanboskirk (2016), Gimpel et
al. (2018), Gunsberg et al. (2018), Peter (2017), Rogers (2016), Schlaepfer et al.
(2017) and Westerman et al. (2011), include digital transformation specific dimensions,
which are, in many cases, new to the portfolio of pre-digital area management topics.
4 Digital Transformation Action Fields
As identified in the comparative analysis, six action fields/dimensions are dominating
a potential generic cross-industry digital transformation framework. The framework di-
mensions include business strategy, the organisation, culture, technology, the cus-
tomer, and people (figure 3).
Fig. 3: Digital Transformation Framework (own illustration)
This section defines and describes each action field/dimension and reveals how differ-
ent activities can support organisations on their digital transformation journey. In order
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to determine the relevant content of each action field/dimension, the sub-dimensions
of the comparison matrix of models and frameworks were also considered.
Strategy
The literature revealed theoretical concepts regarding strategy and pinpoints the im-
portance of building a sophisticated digital strategy for successful digital transfor-
mation. However, the review also showed a prevailing disagreement in research about
what kind of strategy is required and where to position it. While some researchers (e.g.
Chan & Reich, 2007; Luftman, 1999; Sabherwal & Chan, 2001) support the traditional
alignment view which claims that IT strategy is a subordinated functional-level strategy
that must be aligned with the firm’s business strategy, other researchers in later publi-
cations argue that it requires a digital business strategy which reflects a fusion between
IT and business strategy (e.g. Bharadwaj et al., 2013). A third group (e.g. Hess et al.,
2016; Ismail, Khater & Zaki (2017) even proclaims that such an important topic requires
a separate overarching digital transformation strategy which is not part of any other or
functional or organisational strategy and coordinates the many independent drivers of
digital transformation.
Although several different views prevail, the literature agrees on the imperative of a
formulated digital strategy. Researchers of other digital transformation models assert
that digital strategies of successfully transformed organisations are not only well doc-
umented, but also communicated in the organisation and internalised by employees of
all levels. Furthermore, the availability of sufficient resources must be ensured and the
strategy should be regularly updated and put to the test (Kane et al., 2016; Peyman et
al., 2014; Schumacher, Erol & Sihn, 2016). It is the duty of management to communi-
cate the developed vision and strategy to the organisation and to provide the neces-
sary support to implement the transformation roadmap (Svahn et al., 2017). Moreover,
organisations should pro-actively and systematically explore and evaluate new trends
(e.g. technologies and customer behaviour) in order to identify new business opportu-
nities (Berghaus et al., 2017; De Carolis et al., 2017) and thus, provide input to strategy
development.
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Organisation
Berghaus et al. (2017) and Schlaepfer et al. (2017) consider partnerships and eco-
systems an important element of this dimension (it could be argued that they also be-
long to the strategy dimension, however, they are more closely aligned to the organi-
sational set-up, as for instance described by Schlaepfer et al. (2017)). Hence, organi-
sations must embrace a collaborative and partnership driven approach by actively pur-
suing and fostering respectful relationships with various stakeholders (Dintrans et al.,
2017). While initially seen as competitors, partnerships should leverage each other’s
numerous strengths to meet increasing customer needs, but organisations must en-
sure that they can add their own added value to retain control over the customer rela-
tionship (Bose, Price & Bastid, 2018; Dintrans et al., 2017). For Gimpel et al. (2018),
this dimension also encompasses the organisation’s agility, which refers to its ability to
respond quickly to changes in the technology or market environment. Here, organisa-
tions should move away from traditional hierarchies and embrace leaner and flatter
organisational structures which empowers employees and allow greater agility and
faster decision making (WEF, 2016).
In recent years, many organisations also established the role of Chief Digital Officer
(CDO) to spearhead the digital transformation journey. Other researchers argue that
the organisation must also enable and encourage cross-functional collaboration within
the firm (Gill & Vanboskirk, 2016; Gunsberg et al., 2018; Schumacher et al., 2016).
Furthermore, organisations should engage in corporate venturing and create small in-
novative units (e.g. innovation labs or digital factories) which reduces time to market
(Schlaepfer et al., 2017). This means that cross-functional teams (e.g. developers, IT
experts, designers and product owners) come together in an organisational construct
known as “digital factory” to build something new for the organisation by working in
agile sprints and using methodologies such as design thinking. They constantly test,
refine and iterate the product and finally integrate it into the broader business (Bhapkar
& Dias, 2017). It is evident that in the organisation dimension, there is a strong link to
culture, as described in the next section.
Culture
Corporate culture and its focus on the future play a pivotal role for successful digital
transformation. Hofstede, Hofstede & Minkov (2010) define organisational culture as
“[…] the collective programming of the mind that distinguishes the members of one
28
organisation from others”. Schlaepfer et al. (2017) suggest to create a “passionate pi-
oneer culture”, allowing employees to pursue ideas in a interdiciplinary and decentral-
ised way and organise their own activities. A study (Kane et al., 2016) revealed that
the organisational cultures of digitally maturing firms all have common characteristics
such as rapid experimentation, an expanded appetite for risk, and an investment in
talent. In addition, they value soft skills in leaders more than technical strength. These
features are supported by Schlaepfer et al. (2017) who claim that company culture
must allow freedom to experiment, room for creativity and continous try-outs. This is
often referred as a “fail forward culture”, meaning that the culture allows to experiment
and to then learn from mistakes. However, the establishment of such a culture requires
a strong and continuous commitment from the board and C-level executives which
must back the digital strategy (Andriole, 2017; Gill & Vanboskirk, 2016). Hence, suc-
cesful digital transformation requires strong digital leaders which are not imperatively
high-tech wizards, but have the ability to manage complexity, inspire and develop dis-
tinct digital cultures conducive to success and promote the development of innovative
digital solutions despite investment risks (Berghaus et al., 2017; Gill & Vanboskirk,
2016; Kane et al., 2016).
Technology
Hess et al. (2016) confirmed that an essential dimension of digital transformation strat-
egy is the organisation’s approach to the use of new digital technologies. While market
followers apply widely validated technology solutions, market leaders explore and ex-
ploit emerging technology such as artificial intelligence, machine learning, the block-
chain or the Internet of Things (Hess et al., 2016; Ismail, Khater & Zaki, 2017). There-
fore, the technology dimension focuses on the organisation’s use and adoption of
emerging technologies. Gill & Vanboskirk (2016) suggest in their model that firms
should have a collaborative, flexible and iterative approach towards technology devel-
opment and leverage modern architectures such as the cloud and application program-
ming interfaces (APIs) to promote flexibility as well as speed. The use of APIs enables
organisations to incorporate state-of-the art technology from the eco-system into the
key areas in which partnerships are required (Nienaber, 2016). Berghaus et al. (2017)
and Gill & Vanboskirk (2016) consider the flexibility to shift priorities and teams an
important factor in the technology dimension. However, many organisations face the
challenge of legacy IT systems which are often at the heart of the IT infrastructure,
29
which hinder organisations in their innovation endeavour and damage their agility
(Rosner, 2018). While some organisations tackle the herculean task to digitise to the
core and reduce their dependencies, other firms just “put on digital lipstick” (Vinayak,
2018) by delivering new front-end systems and a well-designed website. A recent study
within the Swiss banking industry found that only 58% of them are convinced that their
existing IT architecture is "fit enough" to master the challenges of the future (Schwaller
et al., 2019). With growing threats of cybercrime, IT security becomes increasingly im-
portant for organisations. Hence, employees should strictly adhere to IT security rules
and organisations test various threat scenarios to ensure IT operations and data avail-
ability (Berghaus et al., 2017).
Customer
The changing customer behaviour and increasing popularity of digital channels force
organisations to bridge the digital and physical world by offering seamless hybrid inter-
action channels (Gasser et al., 2018; Nüesch, Alt & Puschmann, 2015; Puschmann,
2017). This means that customers should have the possibility to interact with organi-
sations either through classical or digital channels and therefore, organisations must
ensure a content consistent and channel appropriate designed customer experience
on all digital and non-digital channels (Berghaus et al., 2017; Peter, 2017). Although
more and more services can be fully completed online, most organisations only take
one step at a time and focus on digitising existing products, rather than to provide new,
innovative services (Ehlerding et al., 2018). Moreover, organisations should harness
the benefits of digital technologies by collecting customer data and using customer
insights, for instance to predict customer behaviour and to provide tailored and per-
sonalised products and services with a better customer experience (Anderson & Wil-
liam, 2018; Berghaus et al., 2017; Gimpel et al., 2018; Schumacher et al., 2016). Here,
Von Leipzig et al. (2017) state that today’s customers do not only expect organisations
to react to their demands, but they even expect them to anticipate their future needs
before they identify those themselves. Finally, Gimpel et al. (2018) suggest that organ-
isations should involve customers in the innovation and product development process.
30
People
The people dimension particularly encompasses the employee with their skills and ca-
pabilities. Andersson et al. (2018) argue that apart from the many technological re-
sources which are necessary for successful digital transformation, it also requires new
human skills and experiences with different digital technologies. Cascio & Montealegre
(2016) assert an increasing skills gap between the existing labour force and the skills
required to compete in a VUCA world (a volatile, uncertain, complex and ambiguous
world). A large study conducted by the World Economic Forum (WEF) predicts and
increasing skills demand for cognitive abilities, systems skills and complex problem-
solving skills for the near future (WEF, 2016b). Hence, organisations must develop and
implement appropriate training schemes and educate, train and develop digital skills
as well as entirely new skills to reinforce the employability and personal development
of their employees (Mettling & Barré, 2016; Schlaepfer et al., 2017). Organisations
should also rethink the way training is executed and offer a broad range of training
options such as employee boot camps, hackathons, massive online courses, and ro-
tation opportunities (WEF, 2016). Dreischmeier, Close & Trichet (2015) claim that lead-
ing players actively pursue collaboration with universities, incubators and other institu-
tions in order to gain access to critical talents. In a global study, 76% of the digitally
maturing organisations indicated that they provide their employees with resources and
training opportunities to develop digital acumen, which demonstrates the importance
of talent development for a successful transformation (Kane et al., 2016). Moreover,
organisations should create an attractive and flexible workplace of the future. This
could be achieved by offering home office, mobile working, desk sharing and digital
workspaces which increases employee motivation, decreases infrastructure cost and
in turn, helps attracting digital savvy millennials (Schlaepfer et al., 2017; WEF, 2016).
In summary, the six action fields or dimensions of digital transformation, as unveiled
by the literature review, provide a framework for organisations to master their digital
transformation journey. Figure 4 summarises the identified dimensions/action fields
and developed framework by further specifying the sub-dimension.
31
Fig. 4: Digital Transformation Framework with Sub-Dimensions (own illustration)
5 Conclusion
Digital transformation requires cross-cutting organisational change along with the im-
plementation of digital technologies. To validate these and other important dimensions
for successful digital transformation, this literature review identified and analysed eight-
een confirmed digital maturity models and frameworks which describe various dimen-
sions that shall be considered for a digital transformation strategy. A comparative anal-
ysis of over one hundred described dimensions identified the most often cited dimen-
sions, namely strategy, organisation, corporate culture, technology, the customer/s
and people/employees. These six action fields, together with optional additional dimen-
sions, should therefore be discussed in all digital transformation strategies.
The task was challenging since some models defined (or labelled) a certain topic as a
main dimension whereas others used it as well, but only as a sub-dimension. In addi-
tion, for some dimensions with the same meaning, slightly different terms were used
in the identified literature.
32
Finally, many frameworks and models are generic, similar to those of a general busi-
ness strategy or business model canvas, while others include digital transformation
specific dimensions, which are additions to the existing topics previously discussed in
business strategy development and implementation. This means that organisations
need to decide whether they want to completely redefine their strategy (which leads to
the application of more generic models) or confirm and/or enrich their existing strategy
with the digital topics of the new, digital area.
33
Bibliography
Accenture (2015). Digital strategy execution drives a new era of banking, 1–16. Re-
trieved from https://www.accenture.com/t20150721T131239Z__w__/us-en/_
acnmedia/Accenture/Conversion-Assets/DotCom/Documents/Global/PDF/
Dualpub_18/Accenture-New-Era-Banking-Strategy.pdfla=en#zoom=50
Anderson, C. & William, E. (2018). Digital Maturity Model - Achieving digital maturity to
drive growth. Retrieved from https://www2.deloitte.com/content/dam/
Deloitte/global/Documents/Technology-Media-Telecommunications/deloitte-
digital-maturity-model.pdf
Andersson, P., Movin, S., Mähring, M., Teigland, R., & Wennberg, K. (2018). Managing
Digital Transformation. Stockholm School of Economics Institute for Research
(SIR). Retrieved from https://www.hhs.se/contentassets/a3083bb76 c384052b
3f3 f4c82236e38f/managing-digital-transformation-med-omslag.pdf
Andriole, S. (2017). Five Myths About Digital Transformation. MITSloan Management
Review, 58(3), 20–22. Retrieved from http://mitsmr.com/2ki2h8A
Becker, J., Knackstedt, R. & Pöppelbuss, J. (2009). Developing Maturity Models for IT
Management. A Procedure Model and its Application. Retrieved from
https://doi.org/10.1007 /s12599-009-0044-5
Berghaus, S., Back, A., & Kaltenrieder, B. (2017). Digital Maturity & Transformation
Report 2017. St.Gallen. Retrieved from www.crosswalk.ch/dmcheck
Bhapkar, R. & Dias, J. (2017). How a digital factory can transform company culture.
McKinsey. Retrieved from https://www.mckinsey.com/business-functions/ digi-
tal-mckinsey/our-insights/how-a-digital-factory-can-transform-company-culture
Bharadwaj, A., El Sawy, O. A., Pavlou, P. A., & Venkatraman, N. (2013). Digital Busi-
ness Strategy: Toward a next Generation of Insights. MIS Quarterly, Vol. 37,
Issue 2, pp. 471–482. https://doi.org/10.1.1.216.1018
Bloomberg, J. (2018). Digitization, Digitalization, and Digital Transformation: Confuse
Them At Your Peril. Retrieved from https://www.forbes.com/sites/jason bloom-
berg/2018/04/29/digitization-digitalization-and-digital-transformation-confuse-
them-at-your-peril/#3139e10c2f2c
Bose, A., Price, P., & Bastid, V. (2018). FinTech Report 2018. Retrieved from
https://www.capgemini.com/wp-content/uploads/2018/02/world-fintech-report-
wftr-2018.pdf
34
Bounfour, A. (2016). Digital Futures, Digital Transformation. Springer Cham Heidel-
berg. Retrieved from http://www.springer.com/series/10440
Bughin, J. & Van Zeebroeck, N. (2017). The Best Response to Digital Disruption. MIT
Sloan Management Review, Vol. 58, Issue 4, pp. 80–86.
Cascio, W. & Montealegre, J. R. (2016). How Technology is Changing Work and Or-
ganizations. Annual Review of Organizational Psychology and Behavior, Vol.
3, pp. 349–375. Retrieved from https://doi.org/10.1146/annurev-orgpsych-
041015-062352
Chan, Y. E. & Reich, B. H. (2007). IT alignment: what have we learned? Journal of
Information Technology, vol. 22, pp. 297–315. Retrieved from https://doi.org/
10.1057/palgrave.jit.2000109
Christensen, C. M. (1997). Innovator’s Dilemma. Boston, MA: Harvard Business
School Press.
De Carolis, A., Macchi, M., Negri, E., & Terzi, S. (2017). A Maturity Model for Assessing
the Digital Readiness of Manufacturing Companies. In H. Lödding, K.-D. Riedel,
R. Thoben, D. von Cieminski & G. Kiritsis (Eds.), Advances in Production Man-
agement Systems. The Path to Intelligent, Collaborative and Sustainable (pp.
13–20). Hamburg: Springer, Cham. Retrieved from https://doi.org/10.1007/978-
3-319-66923-6_2
Dintrans, P., Anand, A., Ponnuveetil, M., Acharya, A. & Chardukian, A. (2017). Why
Banks Must Become Smart Aggregators in the Financial Services Digital Eco-
system. Technology Solutions, Cognizant. Retrieved from https://www.cogni-
zant.com/whitepapers/why-banks-must-become-smart-aggregators-in-the-fi-
nancial-services-digital-ecosystem-codex2866.pdf
Dreischmeier, R., Close, K., & Trichet, P. (2015). The Digital Imperative. Retrieved
from https://www.bcg.com/publications/2015/digital-imperative.aspx
Egeli, M. (2016). Erfolgsfaktoren von Mobile Business: Ein Reifegradmodell zur digita-
len Transformation von Unternehmen durch Mobile IT. Wiesbaden: Springer
Fachmedien. Retrieved from https://doi.org/DOI 10.1007/978-3-658-12771-8
Ehlerding, A., Wirth, C., Balzer, C., Knoop, C., Koch, D., Kronsteiner, C., & Wunderlich,
M. (2018). zeb.digital pulse check 3.0. Münster.
Gasser, U., Gassmann, O., Hens, T., Leifer, L., Puschmann, T., & Zhao, L. (2018).
Digital Banking 2025. Retrieved from http://www.fintech.uzh.ch/dam/jcr:
2ef31105-1a60-43da-a657-8b140e47b3b4/Digital Banking 2025 FINAL.pdf
35
Gill, M. & Vanboskirk, S. (2016). The Digital Maturity Model 4.0. Cambridge, Massa-
chusetts. Retrieved from https://forrester.nitro-digital.com/pdf/Forrester-s Digital
Maturity Model 4.0.pdf
Gimpel, H., Hosseini, S., Xaver, R., Huber, R., Probst, L., Röglinger, M., & Faisst, U.
(2018). Structuring Digital Transformation: A Framework of Action Fields and its
Application at ZEISS. Journal of Information Technology, Vol. 19, Issue 1, pp.
31–54. Retrieved from https://aisel.aisnet.org/cgi/viewcontent.cgi?article
=1726&context=jitta
Grebe, M., Mönter, N., Noakes, B., De T’serclaes, J.-W., Wade, B., & Walsh, I. (2016).
Banking on Digital Simplicity - Global retail Banking 2016. Boston. Retrieved
from http://image-src.bcg.com/Images/BCG-Banking-on-Digital-Simplicity-May-
2016_tcm9-73651.pdf
Gsell, S. (2017). The Impact of Digitalization on the Business Model of German Retail
Banks. Lund University. Retrieved from http://lup.lub.lu.se/luur/download?func
=download File&recordOId=8924906&fileOId=8924907
Gunsberg, D., Callow, B., Ryan, B., Suthers, J., Baker, P. A. & Richardson, J. (2018).
Applying an organisational agility maturity model. Journal of Organizational
Change Management, Vol. 31, Issue 6, pp. 1315–1343. Retrieved from
https://doi.org/10.1108/JOCM-10-2017-0398
Hebbert, L. (2017). Digital Transformation: Build your Organization’s Future for the In-
novation. London: Bloomsburry Publishing Plc.
Hess, T., Matt, C., Benlian, A. & Wiesböck, F. (2016). Options for Formulating a Digital
Transformation Strategy. MIS Quarterly Executive, Vol. 15, Issue 2, pp. 123–
139.
Hofstede, G., Hofstede, G. J. & Minkov, M. (2010). Cultures and Organizations - Soft-
ware of the Mind - Intercultural Cooperation and Its Importance for Survival. Mc
Graw Hill. Retrieved from https://e-edu.nbu.bg/pluginfile.php/ 900222/mod_re-
source/content/1/G.Hofstede_G.J.Hofstede_M.Minkov - Cultures and Organi-
zations - Software of the Mind 3rd_edition 2010.pdf
Horlacher, A. & Hess, T. (2016). What Does a Chief Digital Officer Do? Managerial
Tasks and Roles of a New C-level Position in the Context of Digital Transfor-
mation, 49th Hawaii International Conference on System Sciences, pp. 5126–
5135.Retrieved from https://doi.org/10.1109/HICSS.2016.634
36
Hyvönen, J. (2018). Strategic leading of digital transformation in large established com-
panies - a multiple case-study. Aalto University. Retrieved from https://aalto-
doc.aalto.fi/bitstream/handle/123456789/30110/master_Hyvönen_Janne_
2018. pdf?sequence=1&isAllowed=y
Isaev, E. A., Korovkina, N. L., & Tabakova, M. S. (2018). Evaluation of the readiness
of a company’s IT department for digital business transformation. Information
Systems and Technologies in Business Informatics (2), 44–2018. Retrieved
from https://doi.org/10.17323/1998-0663.2018.2.55.64
Ismail, M. H., Khater, M., & Zaki, M. (2017). Digital Business Transformation and Strat-
egy: What Do We Know So Far? Retrieved from www.cambridge servicealli-
ance.org
Kane, G. C., Palmer, D., Nguyen Phillips, A., Kiron, D., & Buckley, N. (2016). Aligning
the Organization for Its Digital Future. MIT Sloan Management Review and
Deloitte University Press, (58180), pp. 1–27.
Kane, G. C., Palmer, D., Nguyen Phillips, A., Kiron, D., Buckley, N., Copulsky, J., &
Buckley, N. (2015). Strategy, not Technology, Drives Digital Transformation Be-
coming a digitally mature enterprise. Retrieved from https://www2.deloitte.
com/content/dam/Deloitte/fr/Documents/strategy/dup_strategy-not-technology-
drives-digital-transformation.pdf
Luftman, J. N. (1999). Achieving and Sustaining Business-IT Alignment, California
Management Review, October, pp. 109–122. Retrieved from https://doi.org/
10.2307/41166021
Maltaverne, B. (2017). Digital transformation of Procurement: a good abuse of lan-
guage? Retrieved from http://www.thedigitaltransformationpeople.com/ chan-
nels/the-case-for-digital-transformation/digital-transformation-of-procurement-
a-good-abuse-of-language
Matt, C., Hess, T., & Benlian, A. (2015). Digital Transformation Strategies. Business
and Information Systems Engineering, Vol. 57, Issue 5, pp. 339–343. Retrieved
from https://doi.org/10.1007/s12599-015-0401-5
McDonald, M. P. (2012). Digital Strategy Does Not Equal IT Strategy. Retrieved from
https://hbr.org/2012/11/digital-strategy-does-not-equa
37
McKeown, I. & Philip, G. (2003). Business transformation, information technology and
competitive strategies: learning to fly. International Journal of Information Man-
agement, Vol. 23. Retrieved from http://www.geocities.ws/eduardobustos6/ lec-
turas/ tema1/it2.pdf
Mead, W. (2016). Banking and the E-Book Moment. In S. Chishti & J. Barberis (Eds.),
The FinTech Book: The Financial Technology Handbook for Investors, Entre-
preneurs and Visionaries (pp. 6–9). Chichester, UK: John Wiley & Sons. Re-
trieved from Ltd. https://doi.org/10.1002/9781119218906.ch1
Mettling, B. & Barré, J. (2016). What role for HR in 2020-2025? Paris. Retrieved from
https://www.oliverwyman.com/content/dam/oliver-wyman/global/en/2016/june/
What role for HR in 2020-2025.pdf
Moreno, J. P., Gera, P., Colangelo, M., Proverbio, M., Skan, J., Busch, W., & Caroll,
G. (2015). The Everyday Bank A New Vision for the Digital Age. Retrieved from
https://www.accenture.com/t20150714T065456__w__/sk-en/_acnmedia/ Ac-
centure/Conversion-Assets/DotCom/Documents/Global/PDF/Strategy_6/ Ac-
centure-The-Everyday-Bank-A-New-Vision-for-the-Digital-Age.pdf
Neff, A. A., Hamel, F., Herz, T. P., Uebernickel, F., Brenner, W., & Vom Brocke, J.
(2014). Developing a maturity model for service systems in heavy equipment
manufacturing enterprises. Information & Management, Vol. 51, pp. 895–911.
Retrieved from https://doi.org/10.1016/j.im.2014.05.001
Newman, M. (2017). Digital Maturity Model (DMM). Parsippany, New Jersey. Retrieved
from www.tmforum.org
Nienaber, R. (2016). Banks Need to Think Collaboration Rather Than Competition.
The FinTech Book (pp. 20–21). Chichester, UK: John Wiley & Sons, Ltd. Re-
trieved from https://doi.org/10.1002/9781119218906.ch4
Nüesch, R., Alt, R., & Puschmann, T. (2015). Hybrid Customer Interaction. Bus Inf Syst
Eng, Vol. 57, pp. 73–78. Retrieved from https://doi.org/10.1007/s12599-014-
0366-9
Open Roads (2017). Introduction to Open Digital Maturity Model. Retrieved from
https://de.scribd.com/document/362559576/170810-Introduction-to-Open-Digi-
tal-Maturity-Model-for-release-V2R9-pdf#download
Peter, M. K. (Ed.) (2017). KMU-Transformation. Als KMU die Digitale Transformation
erfolgreich umsetzen. Forschungsresultate und Praxisleitfaden. Olten: FHNW.
Retrived from https://kmu-transformation.ch/digitale-ausgabe/
38
Peyman, A., Faraby, N., Rossmann, A., Steimel, B., & Wichmann, K. (2014). Digital
Transformation Report - eine empirische Studie. Köln. Retrieved from
https://www.wiwo.de
Puschmann, T. (2017). Fintech. Business & Information Systems Engineering, Vol. 59,
pp. 69–76. Retrieved from https://doi.org/10.1007/s12599-017-0464-6
Reddy, S. & Reinartz, W. (2017). Digital Transformation and Value Creation: Sea
Change Ahead - ProQuest. GfK Marketing Intelligence Review, Vol. 9, Issue 1,
pp. 10–17. Retrieved from https://search.proquest.com/docview/1917343619
?q-origsite=gscholar
Rogers, D. L. (2016). The Digital Transformation Playbook - Rethink Your Business for
the Digital Age. New York: Columbia University Press.
Römer, M., Schmidl, J., Venus, M., Röglinger, M., Linhart, A. & Utz, L. (2017). Design-
ing IT Setups in the Digital Age. Retrieved from http://www.fim-rc.de/wp-con-
tent/uploads/Designing-IT-Setups-in-the-Digital-Age.pdf
Rosner, E. (2018). The Innovation Game: Escaping Legacy with new Technology. Lon-
don. Retrieved from https://www.finextra.com/finextra-downloads/ feature-
docs/finastra_finextra_dec2018.pdf
Ross, J. W., Sebastian, I. M., & Beath, C. M. (2017). How to Develop a Great Digital
Strategy. MIT Sloan Management Review, Vol. 58, Issue 2, pp. 7–9. Retrieved
from http://mitsmr.com/2fAqNTk
Sabherwal, R. & Chan, Y. E. (2001). Alignment Between Business and IS Strategies :
A Study of Prospectors , Analyzers, and Defenders. Information Systems Re-
search, Vol. 12, Issue 1, pp. 11–33. Retrieved from https://doi.org/ 10.1287
/isre.12.1.11.9714
Schäfer, D., Rossmann, A., Vogel, R., & Wichmann, K. (2015). Digital Transformation
Report 2015. Köln. Retrieved from https://www.neuland.digital
Schlaepfer, R., Von Radowitz, K., Koch, M., & Merkofer, P. (2017). Digital future read-
iness - How do companies prepare for the opportunities and challenges of digi-
talisation? Retrieved from https://www2.deloitte.com/content/dam/Deloitte
/ch/Documents/consumer-business/ch-cip-en-swiss-transformation.pdf
Schumacher, A., Erol, S., & Sihn, W. (2016). A maturity model for assessing Industry
4.0 readiness and maturity of manufacturing enterprises. Procedia CIRP, Vol.
52, pp. 161–166. Retrieved from https://doi.org/10.1016/j.procir.2016.07.040
39
Schwaller, P., Toepfer, O., Patusi, B., Muller, S., & D’Ambrosio, T. (2019). EY Banken-
barometer 2019 Zeichen der Zeit. Retrieved from https://www.ey. com/Publica-
tion/vwLUAssets/ey-bankenbarometer-2019-broschuere/$FILE/ ey-bankenba-
rometer-2019-broschuere.pdf
Singh, A. & Hess, T. (2017). How Chief Digital Officers Promote the Digital Transfor-
mation of their Companies. MIS Quarterly Executive, Vol. 16, Issue 1, pp. 1–17.
Retrieved from http://cdoclub.com.
Smolinski, R., Gerdes, M., Siejka, M., & Bodek, M. C. (2017). Innovationen und Inno-
vationsmanagement in der Finanzbranche. Wiesbaden: Springer Fachmedie.
Retrieved from https://link.springer.com/content/pdf/10.1007 %2F978-3-658-
15648-0.pdf
Svahn, F., Mathiassen, L., Lindgren, R., & Kane, G. (2017). Mastering the Digital In-
novation Challenge. MIT Sloan Management Review, Vol. 58, Issue 3, pp. 14–
16. Retrieved from https://doi.org/10.2307/3250921
Unruh, G. & Kiron, D. (2017). Digital Transformation On Purpose. Retrieved from
http://sloanreview.mit.edu/article/digital-transformation-on-purpose/
Valdez-De-Leon, O. (2016). A Digital Maturity Model for Telecommunications Service
Providers. Technology Innovation Management Review, Vol. 6. Ottawa. Re-
trieved from https://www.timreview.ca
Van der Zande, J. (2018). Banks and digitalization. In R. Teigland, S. Siri, A. Larsson,
A. M. Puertas & C. I. Bogusz (Eds.), The Rise and Development of FinTech:
Accounts of Disruption from Sweden and Beyond (pp. 327–349). New York:
Routledge.
Vinayak, H. (2018). Transforming a bank by becoming digital to the core. Retrieved
from https://www.mckinsey.com/industries/financial-services/our-insights/trans
forming-a-bank-by-becoming-digital-to-the-core
Von Leipzig, T., Gamp, M., Manz, D., Schöttle, K., Ohlhausen, P., & Oosthuizen, G.
(2017). Initialising customer-orientated digital transformation in enterprises. Pro-
cedia Manufacturing, Vol. 8, pp. 517–524. Retrieved from https://doi.org/
10.1016/j.promfg.2017.02.066
Wallner, J. (2016). Digital Readiness Assessment. Leipzig.
40
Webster, J., & Watson, R. T. (2002). Analyzing the Past to Prepare for the Future:
Writing a Literature Review. MIS Quarterly, Vol. 26, Issue 2, pp. xiii–xxiii. Re-
trieved from https://www.jstor.org/stable/pdf/4132319.pdf?refreqid=excelsior
%3A169202cd1b0b59fce877963da2b74e5f
WEF (2016). Digital Enterprise - World Economic Forum White Paper Digital Transfor-
mation of Industries: In collaboration with Accenture. Geneva. Retrieved from
http://reports.weforum.org/digital-transformation/wp-content/blogs.dir/
94/mp/files/pages/files/digital-enterprise-narrative-final-january-2016.pdf
WEF (2016b). The Future of Jobs - Employment, Skills and Workforce Strategy for the
Fourth Industrial Revolution. Geneva. Retrieved from http://www3.We_forum.
org/docs/WEF_Future_of_Jobs.pdf
Westerman, G., Calméjane, C., Bonnet, D., Ferrais, P., & McAfee, A. (2011). Digital
Transformation: A Roadmap for Billion-Dollar Organizations. Retrieved from
https://www.capgemini.com/wp-content/uploads/2017/07/Digital_Transfor
mation __A_Road-Map_for_Billion-Dollar_Organizations.pdf
Zavolokina, L., Dolata, M., & Schwabe, G. (2016). The FinTech phenomenon: ante-
cedents of financial innovation perceived by the popular press. Retrieved from
https://doi.org/10.1186/s40854-016-0036-7