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The Business Ecosystem of Mobility-as-a-Service


Abstract and Figures

Mobility as a Service (MaaS) is a new mobility model that aims to bridge the gap between public and private transport operators on a city, intercity and national level, and envisages the integration of the currently fragmented tools and services a traveller needs to conduct a trip (planning, booking, access to real time information, payment and ticketing). As MaaS gains wider acceptance, there are several misperceptions about what this model is. Thus, the purpose of this paper is to provide a preliminary definition for the MaaS concept, and propose the MaaS ecosystem where the role of each actor is described in details. The MaaS ecosystem is designed after personal interviews and focus groups with the involved actors. This holistic approach sets the ground for the MaaS concept and highlights the areas where research is needed in order to contribute to the materialisation of the concept.
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The Business Ecosystem of Mobility-as-a-Service
Maria Kamargianni and Melinda Matyas
UCL Energy Institute,
Urban Transport & Energy Group,
University College London, 14 Upper Woburn Place, WC1H 0NN, London, UK.
*Corresponding author:
To cite this paper: Kamargianni, M., and M. Matyas 2017. The Business Ecosystem of Mobility as
a Service. 96th Transportation Research Board (TRB) Annual Meeting, Washington DC, 8-12
January 2017.
Mobility as a Service (MaaS) is a new mobility model that aims to bridge the gap between public
and private transport operators on a city, intercity and national level, and envisages the integration
of the currently fragmented tools and services a traveller needs to conduct a trip (planning,
booking, access to real time information, payment and ticketing). As MaaS gains wider
acceptance, there are several misperceptions about what this model is. Thus, the purpose of this
paper is to provide a preliminary definition for the MaaS concept, and propose the MaaS
ecosystem where the role of each actor is described in details. The MaaS ecosystem is designed
after personal interviews and focus groups with the involved actors. This holistic approach sets the
ground for the MaaS concept and highlights the areas where research is needed in order to
contribute to the materialisation of the concept.
Keywords: Mobility as a Service, Business Ecosystem, Service design, New mobility services
1. Introduction
Hyper urbanization, climate change, and demographic and societal changes are some of the
megatrends that have imposed pressure on the transport networks and set obstacles for door-to-
door mobility. For most of its history, the transport sector has remained largely unchanged,
characterised by slow incremental innovations due to the costly infrastructure. The new
information and communication technologies (ICT) increasingly foster the development of
business concepts for more efficient use of vehicles, optimisation of the transport network, better
infrastructure utilisation, and seamless trips.
Taking advantage of these technological breakthroughs, several new business models have
emerged recently. One of these is the Mobility as a Service (MaaS) model. MaaS aims to bridge
the gap between public and private transport operators on a city, intercity and national level, and
envisages the integration of the currently fragmented tools and services a traveller needs to
conduct a trip (planning, booking, access to real time information, payment and ticketing). It has
the potential to eradicate dependence on private vehicles and deliver seamless mobility as it allows
the integration and cooperation across transport operators, the bundling of transport services and
their provision to travellers as one product via a single interface. Through MaaS, travellers could
have access to easy, flexible, reliable, price-worthy and seamless transit from A to B whether it is
urban or intercity trips.
The MaaS model is expected to be a paradigm shift in the way mobility services are distributed.
However, many practitioners point out that it is rather easy to come up with new ideas, but the real
challenge is putting them into practice. Designing a business model and institutionalizing it is
especially demanding when innovations occur outside the exclusive control of traditional firm
boundaries (1, 2). Research shows that diffusion of innovations in transport is particularly slow
and requires a credible evidence base (3), observability, strong leadership and trust (16), as well as
strong social interactions between professional groups and suitable organizational contexts (3, 4).
The necessary changes for MaaS and most of the new mobility services are of a systemic nature
(5) and require a business ecosystem (6) where multiple organizations act in collaboration (7),
mixing the traditional boundaries of business sectors and companies, and involving users in the
co-creation (8, 9, 10).
Against this background, there is an imperative need to design the MaaS ecosystem and identify
the actors involved and their roles. As MaaS gains wider acceptance, there are several
misperceptions about what this model is. Thus, the purpose of this paper is to clear up the
confusion and define what is meant by MaaS. More specifically, this work aims to: 1. provide a
preliminary definition for the MaaS concept, and 2. propose the MaaS ecosystem where the role of
each actor is described in details. The MaaS ecosystem is designed after personal interviews and
focus groups with all the involved players (users, transport authorities, MaaS providers,
technology companies and policy makers – data have been collected from stakeholders in the UK,
Finland, Sweden, Luxembourg, Germany and Hungary). The theories of business ecosystems (6)
and disruptive innovations adoption (10) are used as basis to design the MaaS ecosystem. This
study also follows a design science approach, which has its roots in the pragmatist research
philosophy (11, 12). This approach is mainly used by information systems researchers studying
creation, transfer, and penetration of innovations (13, 14, 15). Although these approaches are
widely used in other sectors (such as telecommunications, healthcare etc.) to explore ecosystems
and the transformation that is needed to absorb innovation, to our knowledge, they have not been
utilized yet in the transport sector. Our holistic approach also offers the ground for the multi-
disciplinary research that is needed in order to contribute to the materialisation of the concept.
The following section provides the definition of the MaaS concept. Section 3 presents and
discusses the MaaS ecosystem. Section 4 concludes the paper.
2. The Mobility as a Service Concept
The MaaS model covers several concepts that have been extensively discussed in the
transportation sector during last decades. These are the integration, interconnectivity and
optimization of the transport services, smart and seamless mobility, and sustainability (17). The
model also includes concepts that have recently emerged via the Internet of Things and the sharing
economy, such as the term “as a service” and personalisation. Although there are already mobility
services that cover these terms (i.e. car-sharing, on-demand transport), they usually operate in silo
and are not integrated with other modes - especially with public transport. MaaS envisages
enabling a co-operative and interconnected single transport market and providing users with hassle
free mobility. In order for this to be achieved a new player has to enter the transport market,
namely the MaaS provider. The MaaS provider should be able to remove many of the pain points
that are related to travelling and offer users an advanced travel experience. Building on these,
MaaS is defined as follows:
Mobility as a Service is a user-centric, intelligent mobility distribution model in which all mobility
service providers’ offerings are aggregated by a sole mobility provider, the MaaS provider, and
supplied to users through a single digital platform.
Currently, the user has to use numerous tools in order to find information and purchase and access
different transport modes. Travellers usually use different journey planning tools to plan their
trips. However, most of the existing journey planners do not offer information for intermodal trips
(that is, do not combine more than one transport mode with the exception of walking that is
usually the access and egress mode), and only include some of the available transport modes in an
area. Furthermore, the user has to use different payment methods for each transport mode; for
example some transport operators only accept cash, other accept cards, smartphone payment or
PayPal. Once again, the user mainly needs different tickets/ways to access each mode (recently in
many cities around the world, public transport modes are accessed using the same
ticket/smartcard, but there is no ticket integration with other transport modes). These are only
some of the pain points that deteriorate our mobility and hinder intermodality (refers to the use of
two or more transport modes in a trip; 18) or multimodality (refers to the use of different modes
for different trips; 18) and the choice of sustainable travel behaviors.
The MaaS concept removes many of these user-related pain points. The MaaS provider is an
intermediate between transport operators and users. The MaaS provider uses the data that each
transport operator offers (via secure APIs - details regarding how this works are given below),
buys capacity from the transport operators and resells it to users. The users only use one interface
to find information and choose the preferred transport mode for their trips. The MaaS operator can
propose the ideal combination of transport modes to them for each trip by knowing the network
conditions in real time (supply side) and the preferences of users (demand side). In other words,
the MaaS provider can optimize the supply and the demand. To explain through a comparison, the
MaaS provider could act as Expedia does in the tourism sector or as Amazon in the retail sector;
instead of visiting and searching the websites of each hotel, airline or car rental company,
customers can find all the information they need on one website, and they can purchase one
service or combinations of services in a one-stop-shop manner.
MaaS envisages not only bridging the gap across transport operators in the same city, but also
across different cities and initiates the idea of roaming in the transport sector. Nowadays, it is
common for someone to live in one city (usually due to better quality of life or properties prices)
and commute to another. At the same time long-distance business trips have been increased. The
MaaS providers could cover the travel needs of their customers not only in their home-city, but
anywhere around the world where they operate. This is already a feature that some of the on-
demand and car-sharing services offer. For example, you can use/access Uber in all the cities
where the company operates by using the same app and by having exactly the same user account
and payment details. Figure 1 depicts the current situation for urban and intercity trips from a
user’s point of view and the way transport services could be accessed when a MaaS service is
Figure 1: With and without MaaS from user's perspective
The way and the variety of services that MaaS providers could offer depends on the supply side
and the intelligence of each operator. MaaS is a subscription service that could provide either pay-
as-you go options or subscription packages that include various combinations and amounts of
transport modes (similar to the telecommunications and broadband sectors; for more details see
18). The MaaS providers could offer business-to-customers (B2C), business-to-business (B2B)
Transport operators operate in silo.
In some cases coordinations exists for PT modes
at a city level.
Different: - websites and mobile apps
- journey planners
- payment methods and tickets
- booking
Current Situation MaaS model
The MaaS operator sells transport operators' capacity.
Better optimisation of supply and demand.
User can plan journeys, purchase and access transport modes
via a single interface.
Roaming across cities.
Urban Trips
Intercity Trips
City X
City Y
City Y
City X
services or both. For example, MaaS operators could offer services to individuals, but also
corporate services to companies for the business trips of their employees.
While currently only the transport operators are considered in the supply side, other companies
could also enter the MaaS arena. For example, the subscription packages could also include free
Wi-Fi access while travelling, free access to newspapers and magazines, movies, music and
gaming services, and even discounts to coffeehouses and restaurants to buy food for the trip. Once
the MaaS providers start offering their services, more and more ideas will surface to improve user
experience. In addition, all these bundled services will make even more sense in the autonomous
vehicle era, as it is expected that travellers would have the opportunity to do plenty of other
activities instead of driving.
3. The Mobility as a Service Ecosystem
This section presents the Mobility as a Service business ecosystem. A business “ecosystem” is the
wider network of firms that influences how a focal firm, in our case the MaaS provider, creates
and captures value (6). Firms designing a business model with a perspective on the developing
ecosystem of companies around them have to make a conscious decision regarding their position
in the value chain. The “function” in the ecosystem that they want to serve in the delivery of MaaS
services has to be determined. While this concept of strategic “positioning” is not new in business
model theory (19), the MaaS model as a complex value proposition presents new specific
challenges in restructuring the value network. The elaboration on the ecosystem is based on data
collected from focus groups and interviews with senior managers, company founders and CEOs,
users and policy makers in the UK, Finland, Sweden, Luxembourg, Germany and Hungary. The
elaboration apart from value creation and proposition, also highlights areas where research and
further innovation is needed.
The ecosystem of the MaaS provider consists of several actors, including: 1. transport operators
(this term also includes mobility service providers, i.e. parking space providers), 2. data providers,
3. technology and platform providers (technical back-end providers), 4. ICT infrastructure, 5.
insurance companies, 6. regulatory organisations, 7. universities and research institutions. As the
MaaS ecosystem evolves other actors could also be added, such as media, marketing and
advertising firms, unions and other stardisation bodies. But for the purposes of this paper we will
focus only on the actors that could enable (or disable) the concept at its first steps. The MaaS
ecosystem is presented in Figure 2.
A business ecosystem is composed of several layers, which correspond to differing levels of
commitment to the MaaS provider (6). The ecosystem’s core business layer consists of the MaaS
provider (the focal firm) and the parties forming the heart of the business: the business network
actors such as suppliers and customers. In the case of the MaaS provider, the core business parties
are the transport operators, the data providers and the customers. The next layer, the extended
enterprise, widens the view of the business supply chain to include the complementors and
second-layer suppliers. In the MaaS ecosystem these are the technical back-end providers (IT
infrastructure providers), firms offering ticketing and payment solutions, ICT infrastructure, and
insurance companies. The outermost layer, the business ecosystem, adds regulators, unions,
universities and other research bodies, investors, and stakeholders to the business ecosystem. Even
though they are perhaps not directly involved in the business operations, these parties may have a
significant effects on the success of the MaaS model. Below the role of each actor is described in
Figure 2: The Mobility-as-a-Service Ecosystem
The MaaS Provider
First of all, it is of crucial importance to define who could be the MaaS provider. Via our
interviews we concluded that there are two prevalent options. The MaaS operator could either be a
public transport authority or a private firm. Both options have advantages and disadvantages.
In the case where the transport authority is the MaaS provider, it is easier to secure that all the
public transport modes of the city will be offered via such a service. In addition, due to the fact
that in most cities the public transport authority is the one responsible for authorising (or
procuring) all the other transport operators (i.e. taxi, car-sharing etc.), it would be easier to secure
their participation in the MaaS service. Furthermore, the public transport authorities are frequently
also the transport regulators and as such it may take less time to regulate to enable the MaaS
concept. However, public transport authorities may find it too difficult to diversify or extend their
role and this transformation could take years. Similar to many other public authorities, transport
authorities’ bureaucracy may slow down the innovation penetration. In addition, the public
transport authorities are not-for-profit organisations and probably do not have the incentives or
they are constrained by law to develop MaaS services that could really advance the travel
experience. Concepts such as those that were discussed in the section above (i.e. offering
discounts at coffeehouses, or free movies downloads etc.) are probably too difficult to be included
in the MaaS service design due to fair competition standards. Another disadvantage of the public
authority acting as a MaaS provider is the fact that the concept of roaming (connectivity with other
cities) is challenging to achieve; it is out of their scope to develop services that could be used to
other cities as well.
In the second case, the MaaS provider is a private firm. It could be a firm that is established with
the sole purpose of offering MaaS services or an existing firm that will either diversify or extend
its current services. Under this option, it is expected that the MaaS market would be developed
faster. Private firms are driven by profit maximisation and they put a lot of effort on developing
unique intelligence and know-how and on designing services that offer advanced and personalised
experiences. Another finding from our interviews with transport operators is that private transport
operators such as car-sharing companies and on-demand modes would prefer to provide their
services via a privately owned MaaS provider as they believe that it has more incentives to
promote their services. In addition, it is easier for a private firm to offer roaming services as
scaling-up is one of the most companies’ goals. However, it is expected that it will take a lot of
time for public transport services to join the MaaS schemes. One additional possibility is that the
public transport authorities would be afraid of losing their reputation as the transport integrator
and provider of the city
Other MaaS business models were also identified, such as a private MaaS provider to offer
franchise to local companies in each city, or the public transport authority to procure for a private
MaaS provider (public private partnerships). But these are specific business models that will
emerge once the MaaS market is enabled. However, they include the two main options that were
discussed above.
The MaaS concept opens a new global market that is claimed to be a multi-trillion dollar one (21).
New business models should be developed in order to further investigate the exact relationships
that the MaaS operator will have with the suppliers, the legal agreements, the organisational
structures, the service design, the revenue allocation models and the specific value proposition.
Transport Operators
Transport operators are one of the main suppliers to the MaaS provider and are positioned in the
core business ecosystem. Transport operators sell their capacity to MaaS operators and provide
access to their data via secure APIs (Application Programming Interfaces). To fully enable the
MaaS concept by offering the required data, transport operators should ideally have sensors on
their fleet, and ticketing systems that accept smartphone reading. Other mobility related services,
such as parking and toll operators or EV charging infrastructure operators could also be included
in the concept and in the MaaS service design.
The MaaS provider creates value for the transport operators in several ways. First of all, transport
operators via the MaaS provider have the opportunity to access a wider market and increase their
market share. In addition, the MaaS operator could optimize demand and supply by knowing in
real time the demand and the capacity of transport operators. This would be especially valuable in
peak hours when some of the transport operators run on full capacity and the MaaS provider could
redirect their demand to other transport operators and avoid passenger dissatisfaction. As such,
transport operators have the opportunity to grow their revenue from previously ‘unreachable’
customer markets (21) and increase the level of satisfaction of their customers. The MaaS provider
also creates potential for competition between engaged transport operators leading to improved
levels of mobility services.
Data Providers
The data provider(s) is the other key supplier to the MaaS provider. As the MaaS concept relies
heavily on interoperable data availability, the role of the data provider is of critical importance.
The data providers offer data and analytics capabilities to MaaS providers. They process the data
of the transport operators and collect data from a range of other sources (i.e. customers’ mobile
phones, social media etc.). The multi-dimensional, ubiquitous data capture, with mobile devices
and sensors about services, infrastructure and users that a MaaS provider needs, should be stored
and retrieved in a fast, reliable and secure manner. The traditional technology architecture will not
be able to accommodate such unprecedented levels of scale, speed and data variability. As such,
advances in big data need to be exploited in order to provide the technological foundation for large
scale data collection, storage and analysis. Concepts that employ cloud computing, such as the
NoSQL database technology will need to be explored to facilitate the agile and real time data
management requirements. Scalable data warehouses and large distributed file systems must be
regulated by strict security and data policy requirements to ensure the latest encryptions tools and
protocols are applied and followed.
The data providers process, repackage and make the data available in interoperable formats (by
interoperability, we mean the ability of all devices, systems and infrastructure within a single
MaaS scheme, as well as among the whole global MaaS ecosystem, to communicate information
by being able to read, understand and translate each other’s data). Data interoperability is of
strategic importance to the MaaS model. In order to achieve interoperability, regional as well as
national and international data standards and protocols need to be proposed on a central policy
level and adopted by the transport operators. Another aspect to consider here, is the fact that the
MaaS model could be fully enabled by data being openly available. This can be expedited by
creating policies and standards that support secure open data and sources.
The data that each MaaS provider will require depends on its service design. The essence of the
necessary data and an overview of these can be seen in Figure 3.
Figure 3: Minimum data requirements for enabling the MaaS concept (Source:
Most of the currently available transport operators’ APIs only provide capabilities for planning
and are widely used by the numerous journey planners available at the disposal of today’s
travellers. In the MaaS model, however, besides APIs for planning, real time vehicle and route
information as well as booking and ticketing information is required. The incoming API
information needs to go through an API gateway, where the traffic is filtered according to access
control and safety while the metrics are captured and logged. The traffic is then redirected and
routed to the appropriate area of the MaaS and data providers’ back-end systems. Open and
interoperable APIs for data provision and access as well as sensor data from services and the
infrastructure are all essential.
The MaaS concept gives access to new markets for data brokerage services creating opportunities
for additional revenues and market growth.
Technology-specific actors offer technological solutions and support to the MaaS provider in
order to develop its own intelligence and platform. The architecture of each MaaS providers’
platform will probably vary based on its business model. That’s why it is out of the scope of this
paper to go into details of how the MaaS providers’ platform architecture could be (an example of
a MaaS provider’s platform architecture could be find at:; this is the
MaaS.Global’s open API for its platform). However, there are certain elements that a MaaS
provider’s platform will need to host and these are the dynamic multiservice journey, and the
ticketing and payment solutions. As the objective of the MaaS provider is to provide advanced
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services to customers, it is probably out of its scope to develop technologies from scratch that are
already well established and widely used.
Dynamic Multiservice Journey Planner Providers
There are numerous available journey planners in the market as well as open platforms for journey
planning (i.e. OpenTripPlanner). The MaaS provider has the option host an already available
journey planner on its platform. However, the some of the currently available journey planners
offer multimodal journey planning capabilities but barely any intermodal. In addition, they usually
only include part of the available transport modes in an area focusing mainly on public transport
modes (bus and underground), private vehicles, cycling and walking. Real-time information has
started becoming a popular feature of the latest journey planners (wherever the appropriate data is
To enable the provision of advanced MaaS services, journey planners should develop new
capabilities and especially intermodal planning capabilities that include all the available transport
modes in an area (of course, this depends on the data that each transport operator provides as
discussed above). In addition, journey planners should become dynamic; meaning to have the
ability to adjust to a variety of anomalies (i.e. network disruptions, high capacity etc.) of the
transport network and evaluate the most cost effective ways to get from A to B given the
conditions on the network and the capacity of transport operators in real time.
The nature of the services that a MaaS operator envisages providing motivates journey planning
firms and research communities to develop further innovation. The MaaS provider could add
additional value to these firms by feeding them with data regarding users’ location and demand.
Ticketing and payment solutions providers: The technologies that are currently available
regarding payment are quite advanced offering opportunities for payment with credit cards,
smartphones and linking PayPal accounts. The MaaS provider could co-operate with firms that
offer such capabilities so that the customers are able to pay for their MaaS purchases. Similarly,
many technologies are available for ticketing with the most advanced one being digital wallets
(smartphone wallets). Due to the fact that MaaS services are offered via smartphones, the ideal
ticketing solution is these smartphone wallets. However, the technology a MaaS provider will
choose depends heavily on the transport operators ticketing technologies. An ideal solution should
be found so that the customer is able to access as many transport modes as possible with one
ticket. Combinations of ticketing technologies could be another solution, but in this case the
customer has to deal with holding more than one ticket. This would not be ideal as the core idea
behind MaaS is to offer a simplified journey experience to users.
The MaaS provider generates extra revenues for both ticketing and payment solutions firms.
Technical backend providers and IT infrastructure: The MaaS model is enabled by
technological breakthroughs such as big data availability and cloud computing. As such, it is of
vital importance for a MaaS provider to co-operate with a reliable backend provider. Nowadays
there are several on-demand cloud computing services that can respond to the needs of a MaaS
provider. The MaaS model generates extra revenue to these providers.
ICT infrastructure: Internet connectivity is also critical to any MaaS provider. MaaS customers
should be able to access the service via the MaaS mobile application or the website in real-time in
order to request a transport mode for their journey. Furthermore, the MaaS operator should be able
to transfer customers’ requests and the data in real time. As such, high speed internet (3G and 4G)
and widespread geographical internet coverage is a key enabler to the MaaS model. The MaaS
model could further increase the revenue of the ICT companies.
Insurance companies
The MaaS model unravels new business opportunities for insurance companies providing them the
option to expand their portfolio and increase their revenue. Traditionally, insurance companies’
portfolios mainly focused on private motorised vehicles and their passengers’ insurance, while in
recent years they have been expanding in air-passengers’ insurance and compensations (air-
passenger protection rights). In the MaaS market, there are several questions that insurance
companies and legal offices will be called upon to provide solutions for. For example, what will
happen in cases where the MaaS provider proposes a transport mode to a customer and the
transport mode is unable to respond to the request in a given time window. The customer could
claim passenger rights and request compensation. But the question is who is going to pay for this;
the MaaS provider that proposed the mode or the transport operator that was not able to respond?
Many similar questions will arise once the MaaS providers will start operating. This is a field that
the research community could head to.
As mentioned above, preliminary estimations indicate that MaaS is a trillion dollar market
providing an opportunity to investors to exploit. The MaaS market could attract not only private
investors, but also public funds. For example, public authorities support concessionary travel
schemes, while subsidize public transport operators, especially bus operators. Part of these funds
could be redirected to MaaS providers as it is assumed that they could better match supply and
demand saving as such public money and reducing bureaucracy. Another option is the
crowdfunding. However, these options need further investigation on how could efficiently be
Regulators and Policy Makers
Although, regulators and policy makers are positioned in the outer layer of the MaaS ecosystem,
they are the key actors that could enable the MaaS market. Since this concept includes open data
and open APIs, they are those that can provide and regulate for open standards and interoperable
data formats. They could also provide policy frameworks and recommendations for the
sustainable development of the market, fair competition, financing, passenger rights, privacy and
security, service quality standards, social inclusion, and safety. The ideal is the policy framework
to be proposed by the government on a national level in order to avoid different open standards
across different regions that will hinder interoperability. Moreover, as one of the goals of MaaS
providers is to scale-up in several countries, the open data standards could be proposed by an
international organisation (for example, the MaaS.Alliance is an NGO that has been established to
promote this idea and enable the MaaS market). The regulators could spark the fire by providing
these standards and then let the market grow. It is assumed that the development of the MaaS
market would be similar to the telecommunication market (i.e. global standards for GSM networks
– global roaming).
The MaaS model creates value to the society and to authorities. It provides opportunities for more
efficient use of transport management tools and resources/data to meet the needs of citizens. It
could also contribute to a more effective redistribution of the government’s mobility subsidies.
MaaS providers (in case of private firms) will pay taxes generating income for the governments.
Finally, the vision of the MaaS concept is to reduce car ownership while providing equally
convenient but sustainable transport options. In doing so, this model contributes to sustainable
Unions / Lobby Groups
Unions usually slow the innovation penetration and could also slow the development of the MaaS
market. A recent example is the one of Uber and the taxi unions; a private firm entered the on-
demand transport market disrupting the business-as-usual model. This has resulted into legal
fights, while in some cities Uber is not allowed to operate anymore. In order to avoid similar
situations in the future, the authorities could develop checklists with the minimum standards a
MaaS provider could have in order to operate in an area (licensing MaaS providers).
Universities and Research Institutes
Since MaaS is a new concept, research is needed in several sectors of the ecosystem as described
above. Research could provide quantified evidence regarding all the aspects of this concept
allowing the regulators to develop the appropriate enabling frameworks. Research could
contribute to the technological innovation that is required to enable the MaaS idea. It could also
assist with the development of the business models, the financing structures, the insurance
schemes and the revenue allocation models. At this early stage, research is an important enabler of
the concept.
MaaS is by definition a user-centric model. MaaS providers are established having as a vision to
add value to customers and the society as a whole. Customers belong to the core business of the
MaaS provider and are key players to the ecosystem. Based on the business model of the MaaS
provider (B2C, B2B, B2C&B2B) the customers could be individuals, companies or both. Another
concept is that the MaaS providers could offer services not only to passengers, but also to freight
sector. Further definitions are needed regarding who could be the customers of the MaaS
providers. For the purposes of this paper, we consider passengers as the customers.
The MaaS model adds value to the customers by offering them hassle-free, price-worthy and
personalised mobility. The demand for MaaS, the service design, the willingness to pay for using
MaaS services and the impact that MaaS could have on travel patterns are topics that research is
needed in order to motivate regulators to speed up establishing the standards. However, customers
is the only actor that research has started conducting about. For example, Kamargianni et al. (18)
proposed a framework to personalise MaaS services and mobility packages; Giesecke et al. (20)
proposed a conceptual framework for increasing the acceptance of MaaS from a user perspective;
Sochor et al. (22) explored MaaS users experience and attitudes and perceptions about the service
using data from the first MaaS pilot worldwide.
Mobility as a Service is a newly emerging phenomenon in transportation that has been receiving
increased attention in the past year. This study aimed at providing a definition for the MaaS
concept while exploring a holistic approach to design the MaaS ecosystem. Circling back to the
definition that was carefully constructed in section 2, we can now see why all the elements
included are crucial:
It is user-centric because creating seamless door-to-door intermodal and multimodal
journeys for customers is the main purpose of MaaS;
It is a mobility distribution model distribution model in which all transport operators’
offerings are aggregated by a sole MaaS Provider, which emphasises the fact that MaaS is
not solely an integrated mobility service but rather a complete restructuring of mobility
supply – with the MaaS Operator at the core;
It is intelligent and supplied to users through a single digital platform, stressing the
importance of ICT and IT infrastructure in the functioning of MaaS systems.
Several actors are involved in the MaaS ecosystem; namely: 1. transport operators, 2. data
providers, 3. technical backend and IT providers, 4. ICT infrastructure, 5. insurance companies, 6.
regulatory organisations, 7. universities and research institutions, and 8. Customers. The actors
have been categorized based on the relationship they have with the MaaS provider. However, as
the MaaS ecosystem evolves other actors could also be added. Although regulators and research
institutions are positioned in the third layer of the MaaS ecosystem, their role at this early stage is
of vital importance; researchers could provide quantified evidence regarding how this model could
work and what impact will have providing as such rigorous arguments to regulators to enable the
Even though this examination only grazes the surface of the intricate MaaS ecosystem, it is the
first work, to our knowledge, that approached the MaaS concept from a holistic point of view and
can be used by researchers and decision makers as a foundation for future MaaS research and
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... The need for an ecosystem perspective in MaaS is formulated in academia [19]. As no universally accepted definition of the MaaS ecosystem exists, it has been researched regarding the necessary stakeholders [20] and the business model of the orchestrator [21] but with different conceptual boundaries. The fuzziness of the term is also reflected in the fact that in strategy research not all stakeholders are ecosystem partners, contrary to Kamargianni and Matyas [20] for MaaS, as only those with multilateral dependencies and non-generic complementarities [9] are. ...
... As no universally accepted definition of the MaaS ecosystem exists, it has been researched regarding the necessary stakeholders [20] and the business model of the orchestrator [21] but with different conceptual boundaries. The fuzziness of the term is also reflected in the fact that in strategy research not all stakeholders are ecosystem partners, contrary to Kamargianni and Matyas [20] for MaaS, as only those with multilateral dependencies and non-generic complementarities [9] are. This also explains the ambiguous estimations of the market potential of MaaS (see e.g. ...
... The advantage is easier approval and maximized social surplus, as prices are equal to the marginal costs [49]. Disadvantages include difficulties in innovation, scaling and bureaucracy [20] and scarce development resources [21]. These disadvantages are the advantages of private orchestrators. ...
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Background Ecosystems aim to create joint value that is higher than the sum of the value added of the single companies combined. However, for Mobility as a Service (MaaS) ecosystems, the economic potential is not yet proven. This concurs with the definition of MaaS ecosystems and the debate about who should be the orchestrator – a private or a public entity. Purpose This article therefore delivers a first approach to quantify the joint value of publicly and privately orchestrated MaaS ecosystems. Methodology The value estimationations are based on potential user preference analysis combined with market simulation and different volume discounts granted to a private orchestrator in the agency. Findings The results show that due to the high costs of all ecosystem actors in this asset-heavy industry, no profits are made in all constellations. The least value is destroyed when a private orchestrator receives 2% discount. Thus, added value must be created, for example through data analysis and advertising. Cities and governments must hence reallocate subsidies and support all MaaS actors to build a viable ecosystem.
... Knowledge of the possible implications of MaaS for our metropolises is therefore still limited [25]; while many experts agree that MaaS is meant to trigger a new mobility model with the potential to bring relevant opportunities for all the dimensions of the city [26][27][28], others doubt its benefits and consider that MaaS could generate unintended consequences, compromising the ideals of urban sustainability (e.g., an increase in the number of personal trips, the emergence of private economic interests, or a rise in privacy issues) [29,30]. According to [31], a fundamental condition for defining a successful MaaS is to integrate the views of the various entities engaged in these multimodal solutions. At the moment, and although several authors have attempted to conceptualise this ecosystem, there is no agreement on the actors involved in the network. ...
... According to several authors (see Table 2), the MaaS provider is the only actor that MaaS brings to the mobility scenario, while the others are already part of it [31]. The literature locates this entity at the centre of the ecosystem, between mobility service providers and end users, assuming two main roles: the MaaS integrator and the MaaS operator. ...
... Studies on MaaS and governance, e.g., [3,20,21,34,74], mainly focus on the different actors involved in the mobility scenario and their roles and responsibilities, as well as on the legislative strategies required to align the new model with urban sustainability goals. Research on MaaS and the economy, e.g., [16,30,31,33,75], deals with the design of an innovative business model based on "travel packages" or "bundles". The literature on MaaS and mobility, e.g., [71,[76][77][78][79], analyses the potential of the new solutions to integrate all the forms of transport available into a single digital interface to improve individuals' travel experience. ...
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Cities worldwide are calling for smart mobility strategies to tackle the negative externalities of their transport networks. Mobility as a Service (MaaS) is expected to introduce a new mobility model that promotes smarter and more sustainable urban futures. Given the novelty of the concept, this paper explores the implications that might arise from the implementation of MaaS in today’s metropolises in relation to the six dimensions of smart cities: smart governance, smart economy, smart mobility, smart environment, smart people, and smart living. To this end, 42 semi-structured interviews with MaaS stakeholders were conducted in Madrid (Spain). Thematic analysis identified a set of 35 urban implications. The success of MaaS requires more than the mere deployment of technologies and must be supported by the reorganisation of institutional structures, the reform of the regulatory scenario, the stimulation of innovation-based entrepreneurship, the promotion of environmental awareness, the encouragement of cultural transition, and the consideration of the public sphere. Overall, valuable insights are identified for policymakers when designing MaaS. Assessment of multiple stakeholders’ perspectives enables a holistic understanding of these strategies and thus maximises their potential to address the limitations of our complex mobility systems in meeting urban sustainability goals.
... Each service is typically operated by a servicer. In contrast, one typical version of the many forms of MaaS involves a MaaS operator (or a MaaS integrator) that integrates multiple mobility services as one single service [1], [2]. The MaaS operator acts as an intermediator between users and mobility service providers to provide users with a single endpoint for integrated mobility services. ...
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With advances in information technology over the past decade, new mobility services have been developed and the concept of mobility as a service (MaaS) has become an achievable reality. There have been several attempts to implement MaaS, which is expected to be beneficial for users, practically. However, policy-makers have found estimating the effects of practical MaaS implementation challenging, as the integrated behavior of two or more mobility services is difficult to understand. In this study, we propose an event-based simulator integration mechanism to evaluate MaaS easily. The proposed mechanism attaches/detaches existing simulation models and/or mobility services via application programming interfaces (APIs). Moreover, it utilizes independent mechanisms to generate transportation demands and simulate user preferences. Two application scenarios are evaluated qualitatively, indicating that the proposed mechanism can successfully handle various scenarios such as private and small area MaaS and public and middle size area MaaS, and evaluate them from the viewpoints of transportation performance. The mechanism will improve user experience and service quality and enable realization and evaluation of practical MaaS.
... In dense municipalities, it is likely that shared mobility is easily reached and accessed; as such, it will be frequently used. To this end, the density of a city is moreover important for a cost-effective operation of eMobility-sharing services for extended enterprises such as technical backend providers (IT Infrastructure), payment solutions, ticketing solutions, dynamic multiservice journey planners, ICT infrastructure, and insurance companies [70,71], involved in the provision of environmentally friendly transportation. ...
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The transport sector is undergoing disruption due to trends such as tightening environmental targets, digitalization, and servitization, contributing to low-carbon mobility and offering citizen-oriented services. As a response, various initiatives, such as electric mobility (eMobility), have emerged that promote sustainable road transport and active mobility in the last few years. However, irrespective of the potential of eMobility, there are still few studies that examine individuals’ intention and adoption of eMobility-sharing services in smart communities. Accordingly, this study aims to develop a model grounded on the Diffusion of Innovation (DoI) theory to investigate the factors that impact individuals’ adoption of eMobility-sharing service and how to improve the adoption of eMobility-sharing service. A mixed-mode methodology was employed; quantitative data from survey questionnaires were used to gather data, and Statistical Package for Social Science (SPSS) was used to analyze the data. Additionally, qualitative data via interview was collected to demonstrate in ArchiMate modeling language how eMobility-sharing services are practically implemented as a use case study within smart communities. Findings from this study offer a model that focuses on eMobility-sharing adoption from the perspective of smart communities. Additionally, the findings offer a better understanding of how such integrated, multimodal systems fit with the sustainable mobility needs of citizens. More importantly, general recommendations to policymakers and practitioners to increase the uptake of shared eMobility are provided.
... For instance, in this type of research, Sochor et al. (2018) categorised MaaS platforms into two main groups: platforms that only integrate mobility information (e.g., Qixxit), and those that integrate information, booking, and payment (e.g., Smile, Moovel, Whim, and Ubigo). A third research direction has addressed the business models adopted by MaaS providers (Hensher, 2017;Mulley and Nelson, 2020;Kamargianni and Matyas, 2017), while a fourth branch has researched users' acceptance and adoption behaviour (Ye et al., 2020;Schikofsky et al., 2020;Liljamo et al., 2020;Matyas and Kamargianni, 2019;Polydoropoulou et al., 2020). ...
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The concept of Mobility-as-a-Service (MaaS) is gaining increasing attention in both academic and policy discourses concerning the future of transport and mobility. The current understanding of the progress of MaaS is based on the handful of studies that have explored pilot initiatives carried out mainly in Europe and North America. In contrast, this paper extends the literature by exploring the evolution of MaaS in mainland China. It examines how the concept of MaaS emerged in China, identifies and maps on-going MaaS initiatives and platforms across Chinese cities, and investigates the most common approaches and models of MaaS delivery. The analysis reveals that while Chinese government policy has long discussed integrated transport, MaaS and related aspects, including ‘one-stop’ mobility services and ‘Chuixing Ji Fuwu’, which is the Chinese translation of Mobility-as-a-Service, have only appeared in recent times. At present, 41 Chinese cities are hosting ongoing MaaS initiatives and associated platforms. These are concentrated in the developed eastern regions, in cities with high political influence and larger populations. The geography of MaaS strongly reflects the prevailing digital divide in China, implying that deliberate policy choices are needed to avert widening transport and mobility inequalities in the age of MaaS. MaaS platforms currently only provide basic information and modal/service integration and are deployed either as bespoke applications or added to existing social media and navigation applications. Two main models of MaaS delivery were identified: public-controlled model that is predominant and centered primarily on integrating existing state-run public transport services, and partnership model that is emerging in cities such as Beijing to integrate more mobility services beyond conventional public transport. The complex landscape of actors associated with the emerging public–private partnership model presents new challenges for transport governance, especially in balancing an established tradition of strong public sector control over transport on the one hand, and the interests of the fledgling private sector mobility service providers on the other hand.
... MaaS is a rapidly growing and innovative mobility concept combining different kinds of transport services. Numerous studies have explored different characteristics of MaaS, including MaaS ecosystem [17,18], bundling services [19,20], suppliers [21,22], pilot projects [23,24], and simulations [25,26]. Since MaaS is composed of multiple transport operators, providing a high-quality route over the multimodal transport network is crucial in MaaS research. ...
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Multimodal transportation systems require an effective journey planner to allocate multiple passengers to transport operators. One example is mobility-as-a-service (MaaS), a new mobility service that integrates various transport modes through a single platform. In such a multimodal and diverse journey planning problem, accommodating heterogeneous passengers with different and dynamic preferences can be challenging. Furthermore, passengers may behave based on experiences and expectations, in the sense that the transport experience affects their state and decision of the next transport service. Current methods of treating each journey planning optimization as a non-time varying single experience problem cannot adequately model passenger experience and memories over many journeys over time. In this paper, we model passenger experience as a Markov model where prior experiences have a transient effect on future long-term satisfaction and retainment. As such, we formulate a multi-objective journey planning problem that considers individual passenger preferences, experiences, and memories. The proposed approach dynamically determines utility weights to obtain an optimal journey plan for individual passengers based on their status. To balance the profit received by each transport operator, we present a variant based proportional fairness. Our experiments using real-world and synthetic datasets show that our approach enhances passenger satisfaction, compared to baseline methods. We demonstrate that the overall profit is increased by 2.3 times, resulting in a higher retention rate caused by higher satisfaction levels. Our proposed approach can facilitate the participation of transport operators and promote passenger acceptance of MaaS.
... De este modo, la aparición de una tecnología disruptiva como el CAV, unido a los cambios sociales, y los efectos de la pandemia, puede tener un impacto notorio en las regulaciones o conductas sociales que rigen el ecosistema (Jittrapirom et al., 2017). Debido a que MaaS no solo trata de la integración de los servicios de movilidad, sino que también requiere una reconfiguración de los proveedores de servicios integrados en la cadena de suministro de movilidad, el sistema debe estudiarse en profundidad debido a la alta complejidad de los ecosistemas empresariales relacionados con la movilidad (Kamargianni & Matyas, 2017). ...
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Mobility, understood as the capacity to organize and execute the transportation of individuals or material goods with ease, plays a central role in the day to day of any organization. Due to its high impact on competitiveness, mobility is the objectivity of improvement and optimization. Nevertheless, the evolution of mobility has a high interconnection with social tendencies as well as the development of technological innovation. Departing from tendencies marked by the evolution of society and striving for continuous improvement in the quest of meeting the needs of both persons as well as organizations, technological developments have allowed advancements in mobility through innovative solutions. The inclusion of these solutions in electrification, service, automation or connectivity, according with Multi-level Perspective focus in combination with the Social Exchange Theory, just only will be consolidate when their comparative benefits will improve with the actual media. At this moment, they will happen to be used in population niches to prevail as majority trends, so is necessary to reformulate how they try to get in the trade and determinate the role that companies and public administration want to play. These modifications generate opportunities that contribute to maximizing the information received from the vehicle as well as from the user, with its potential consequent implications in the transformation of the mobility ecosystem. Nevertheless, the impact of these tendencies and the advancement of technology in both connectivity and autonomous driving are not homogeneous in all sectors or regions, which translate into different levels of evolution in mobility systems as well as in different business responses and opportunities. Through the appliance of Grounded Theory based on the Contingency Theory is raised the effect, in the mobility as a service, service station, garages, insurance companies, logistic, parking or infrastructure´s managers, and that the challenges they have ahead can only be faced by changing the business’ logic from B2C to B2B and through alliances with digital platforms. Furthermore, due to this technological and social evolution, companies, both digital and climate change technical, are starting to relate to and interact with the principal players and actors of the traditional mobility chain in a stable rather than on a punctual basis. This has meant a reconfiguration of the Global Value Chain of the Automotive sector and of the existing ties amongst the companies of this industry. In this context, the present doctoral thesis, titled " The transformation of the mobility ecosystem: tendencies, future business models and their impact on the global value chain", has as its principal objective to study current and future changes in mobility as a consequence of innovation, lifestyle changes and the impact of technology. In this doctoral thesis, by means of qualitative investigative techniques, the following questions will be analyzed and responded to: • What are the tendencies related to the new mobility and what impact will they have? • How will the mobility transformation foment new solutions and complementary business models? • How does the Global Value Chain related to the new autonomous and connected mobility evolve?
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The idea behind mobility as a service (MaaS) is to narrow the gap between the public and private sectors by integrating the existing fragmented tools and services that travellers require to undertake a journey (planning, booking, access to real-time information, payment, and ticketing). The aim of MaaS is to use one app to pay for all forms of transportation, whether they are inside a city or outside of it. The app will offer alternatives so that a user may select the best option for them. The concept of MaaS has been feasible because to the recent increase in popularity of cell phones, social media, and continuous internet connectivity.
Mobility as a Service (MaaS) has been hailed as a new ecosystem that is transforming transportation systems and individual mobility behavior. However, due to new phenomena such as Covid-19, adoption in the mobility industry has stagnated, and not all ecosystems, i.e., novel partnership networks, could scale. The most important component of both ecosystems in general and MaaS is the platform that combines all other building blocks and enables exchanges between the supply and demand sides. This research therefore aims to design the platform of a minimum viable MaaS ecosystem using academic MaaS as an example, with a qualitative content analysis of supply-side interviews and demand-side focus group discussions and workshops. The focus lies on an academic offer, as MaaS is typically targeted at young individuals and persons with high education. The results show that the standardization of programming interfaces and the provision of user data for all participating institutions are key drivers.KeywordsMaaSPlatformStudent MobilityGermany
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In recent years, we have seen increasing interest in new service concepts that take advantage of the capabilities of business ecosystems instead of single companies. In this article, we describe how a business ecosystem begins to develop around a service business idea proposed by an entrepreneur. We aim to recognize the different domains of players that are or should be involved in the ecosystem while it is under construction. The article concludes with an ecosystem model consisting of six sub-ecosystems having different change drivers and clockspeeds.
Technical Report
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Novel mobility services that heavily rely on technological advances could contribute to seamless mobility. Mobility as a Service (MaaS) is such a concept. The objective of the FS-MaaS project is to propose the design of a MaaS concept for London, the MaaS-London, and examine its feasibility. To work towards the concept of MaaS-London, first, the supply and the demand sides of the London transport market are analysed. There are a variety of mobility services supplied in London such as car clubs (car sharing), ride sharing, bike sharing, public transport, rail and taxi which altogether make London an ideal ground to exploit MaaS-London. The MaaS-London is an integrated platform that includes registration and package selection, intermodal journey planning, booking, smart ticketing and payment functions so that the entire chain of transport can be managed in this centralised platform. The most outstanding feature of MaaS-London is the provision of mobility packages, which consist of tailored bundles of mobility services customised to individual needs. The feasibility study indicates that the introduction of MaaS-London will benefit both the supply and the demand side. Transport operators will benefit by creating a larger market via the integrated platform. Travellers will also welcome the concept due to travel expense and time reduction, and better service experience. MaaS-London is a feasible product that can well serve London transport market and contribute to London’s 2020 vision.
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Literature on business models deals extensively with how to design new business models, but hardly with how to make the transition from an existing to a newly designed business model. The transition to a new business model raises several practical and strategic issues, such as how to replace an existing value proposition with a new one, when to acquire new resources and capabilities, and when to start new partnerships. In this paper, we coin the term business model roadmapping as an approach to define the transition path from a current to a desired business model. We develop our approach based on core concepts from business model literature as well as technology roadmapping. The approach is illustrated using a simplified case study. We find that visualizing business model road maps elicits how operational actions and business model impacts are interrelated. The merits of business model roadmapping not only lie in defining a road map of actions and business model changes, but also in identifying and discussing trade-offs between strategic business model issues and operational activities. Especially if an organization still has to choose between different alternative business models, business model roadmapping may help to identify overlapping paths, path dependencies and points of no return.
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This article explores in-depth what health care customers actually do when they cocreate value. Combining previously published research with data collected from depth interviews, field observation, and focus groups, the authors identify distinct styles of health care customer value cocreation practice. Importantly, the authors show how customers can contribute to their own value creation through their own (self) activities in managing their health care. Building on past work in service-dominant (S-D) logic, consumer culture theory and social practice theory, the authors identify “roles,” “activities,” and “interactions” that underlie customer cocreation of value in health care. The authors uncover five groupings of customer value cocreation practices yielding a typology of practice styles and link these to quality of life. The practice styles are “team management,” “insular controlling,” “partnering,” “pragmatic adapting,” and “passive compliance.” Two in particular, team management and partnering, should be encouraged by managers as they tend to be associated with higher quality of life. The authors provide a health care Customer Value Cocreation Practice Styles (CVCPS) typology. The usefulness of the typology is demonstrated by showing links to quality of life and its potential application to other health care settings.
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As a commentary to Juhani Iivari's insightful essay, I briefly analyze design science research as an embodiment of three closely related cycles of activities. The Relevance Cycle inputs requirements from the contextual envi- ronment into the research and introduces the research artifacts into environ- mental field testing. The Rigor Cycle provides grounding theories and methods along with domain experience and expertise from the foundations knowledge base into the research and adds the new knowledge generated by the research to the growing knowledge base. The central Design Cycle sup- ports a tighter loop of research activity for the construction and evaluation of design artifacts and processes. The recognition of these three cycles in a research project clearly positions and differentiates design science from other research paradigms. The commentary concludes with a claim to the pragmatic nature of design science.
Conference Paper
What is the relationship between design science research and innovation? Our industry-academic collaboration poses this intriguing question and suggests a context and an experimental design for its study. We wish to understand the synergies between the active research areas of DSR and innovation by exploring their overlapping concepts and identifying unique ideas in each that have the potential to inform the other. We present a case study of an actual innovation process in Chevron as a source of empirical data for the exploration and subsequent analysis of how the application of DSR guidelines might inform the practical implementation of innovation processes.
Conference Paper
The concept of Mobility as a Service or MaaS has been proposed as feasible way to achieve more sustainable transport. One example of such a service is UbiGo, a broker service for everyday urban travel developed and evaluated within the Go:Smart project in Gothenburg, Sweden. This paper presents evidence of travel behavior and related changes from a six-month field operational test (FOT), during which 195 participants tested the new service. Based on participant questionnaires, interviews, and travel diaries, change-enabling service attributes are identified, including the ‘transportation smorgasbord’ concept, simplicity, improved access and flexibility, and economy. Although not a service attribute per se, the FOT also enabled the trialability of new behaviors and a reevaluation of convenience. Additionally, the broader implications of the FOT findings on understanding travelers’ new choices and behaviors are discussed in terms of the future design of MaaS. Service design and demand are not independent of each other, and if a mobility service is to change behavior (i.e. achieve impact) as well as create added value, these goals need to drive design decisions and a deliberate and conscious development of service dimensions such as customization, bundling, and range of the offer. Based on the experiences gained, the authors emphasize a more holistic and flexible perspective on mobility (and design perspective on mobility services) that is focused on serving users’ needs, and that involves capitalizing on synergies between public and private actors, in order to develop the MaaS ‘offer’ and better meet the urban mobility challenge ahead.
Conference Paper
Design research is a promising research stream in the IS field, yet research output has been limited. Studies argue that this is due to the complexity of the design research methodology and that design research rarely incorporates the firm context into the design. We propose to include mindful IT innovation process into design research. The IT innovation process is a simple and easy to understand process model of IT innovation. Mindfulness on the other hand ensures that the design outcome resists IT trends, aligns IT with the firm context, fits IT with the existing system, and can ultimately lead to firm capabilities. We illustrate the proposed concept in the form of mindful design principles and instantiate the mindful design principles on a RFID innovation for a complete garment supply chain. The evaluation of the RFID innovation shows that significant benefits can be gained in an operational, tactical, and strategic sense.