Water Domiciliary Distribution Telemanagement Value Model
Ivo Jorge Magalhães da Costa
1,2
, José Henrique Pereira São Mamede
2,3
and Luísa Margarida Cagica Carvalho
4,5
1
Instituto Superior Técnico, Avenida Rovisco Pais, 1, 1049-001 Lisboa, Portugal
2
Universidade Aberta, Rua da Escola Politécnica, 147, 1269-001 Lisboa, Portugal
3
Institute for Systems and Computer Engineering, Technology and Science (INESC-TEC),
Campus da Faculdade de Engenharia da Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal
4
Center for Advanced Studies in Management and Economics (CEFAGE), University of Évora,
Largo Marquês de Marialva, 8, 7000-809 Évora, Portugal
5
Universidade Aberta, Rua Braamcamp, 90, Piso 5, 1250-052 Lisboa, Portugal
Keywords: Telemanagement, Value Model, Intelligent Water Management, Internet of Things (IoT), Water
Distribution Networks.
Abstract: The Internet of Things (IoT) represents a technical innovation that is already starting to play an important
role in smarter water management, when a wide variety of sensors are incorporated into intelligent metering
equipment and connected through wireless networks throughout the domiciliary water distribution network,
being able to measure volume, flow, temperature, pressure, levels of chlorine, salinity and more. Water
scarcity, aging or inadequate water distribution infrastructure, population variation, pollution, more intense
and frequent droughts and floods, generate pressures that converge on the need to increase global
investment in water infrastructures and to develop solutions for the conservation and management of water.
The main stakeholders in the water distribution sector are the ones that can benefit most from the use of
telemanagement. However, the results of adopting this innovation are contrary to expectations, with a slow
change in traditional business models. The objective of this research is the construction of a value model
that allows the identification of actors and value markets and the exchange of value related to the adoption
of telemanagement in Portugal, having a solid theoretical basis and a real practical validation.
1 INTRODUCTION
Water distribution telemanagement is the "integrated
and innovative management system that allows
monitoring, managing and controlling reservoirs,
stations and their respective distribution networks,
through central supervision with adequate graphical
representation, associated to automatic processes of
alarms generated by control devices which detect
and transmit occurrences, such as levels, flows,
ruptures, leaks, among others”, according to site of
ESTEC (2018).
The adoption of intelligent water management
platforms is a strategy that is gaining more and more
acceptance but has been slowly evolving, although
the results obtained justify its application. Thus, in
order for the introduction and development of
telemanagement potential within the water
distribution sector to be carried out efficiently, it is
essential to have a solid understanding of the
technology as well as the business and management
issues underlying or adjacent to the subject. The
question of whether or not to change the way
business is developed today to a paradigm centered,
totally or partially, on telemanagement must be
seriously considered. Thus, it is important to find the
answer to the following question: How does the
adoption of telemanagement in Portugal show
efficiency gains?
Efficiency results from the relationship between
goods produced or services provided and the
resources used. Value modeling is a strategic tool to
identify new business opportunities and how the
company can position itself strategically to
maximize emerging opportunities that may or may
not require a substantial redefinition of the
company's infrastructure (Glova et al., 2014, pp.
1125).
340
Costa, I., Mamede, J. and Carvalho, L.
Water Domiciliary Distribution Telemanagement Value Model.
DOI: 10.5220/0007227203400347
In Proceedings of the 14th International Conference on Web Information Systems and Technologies (WEBIST 2018), pages 340-347
ISBN: 978-989-758-324-7
Copyright © 2018 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
Hevner et al., (2004, p.78) argue that
organizations and their information systems (IS) are
intentionally designed to achieve a goal, being
composed of people, structures, technologies and
work processes, therefore, IS professionals and
managers in general use design to achieve the
essential alignments between business strategy and
IT strategy and, on the other hand, to achieve
alignment between the organizational infrastructure
and the information system infrastructure, as studied
by Henderson and Venkatraman (1993, p. 477).
The definition of the value model for
telemanagement of domiciliary water distribution
sector will contribute to the answer to the main
question based on the reality of the existing market
in Portugal, so that decision makers understand that
this new paradigm is based on the transformation of
the traditional value chain into a network of value,
characterized by the support of the activities of the
water sector in information systems.
The purpose of this paper is to describe this
emerging ecosystem with the various actors and
value markets and their value exchange
relationships. To achieve this, the research was
driven by the following derived questions:
Who are the actors and value markets that can be
identified in the telemanagement of domiciliary
water distribution sector?
How are value exchanges in the ecosystem
formed by actors and value markets?
Having determined the overall goal, we may need to
restrict the guidelines of the study, therefore,
the specific objectives will be as follows:
Diagnose the state of art of water distribution
managing entities (MEs), identifying the main
problems that are pressing towards the
transformation;
Indicate the main factors that condition the
efficient implementation of the telemanagement
of the domiciliary water distribution.
In this research, accordingly with the
methodology and methods chosen, it was considered
useful to adapt the diagram proposed by Laudon and
Laudon (2016, p.25) to represent the problem of the
efficiency of the information system of
telemanagement of domiciliary water distribution
sector, because it illustrates the relationship between
management and organization to use information
technologies (IT) as a solution to the challenges
created by the business environment, as shown in
figure 1.
The diagram summarizes how the management,
technology and organization elements work together
to create the systems and illustrates how the
telemanagement system can solve the problem
presented by the need for efficiency and cost
reduction in the domiciliary water distribution
sector, increase the quality of services for the
consumer, among others. However, even if a system
project supports an entity's strategic objectives and
responds to user information requirements, the
system needs to be a good investment for the
organization.
Figure 1: Diagram of the challenges and solutions in telemanagement, adapted from (Laudon and Laudon, 2016, p.25).
Water Domiciliary Distribution Telemanagement Value Model
341
2 RESEARCH METHODOLOGY
The methodology selected for structuring this study
is the design science research methodology
(DSRM). Blessing and Chakrabarti (2009, p.12)
define that design is the process by which a need is
identified and a solution or product developed to
respond to the need. The authors understand that
design research has two related objectives: the
formulation and validation of models and theories
about the phenomenon of design considering all
facets and, on the other hand, the development and
validation of support based on these models and
theories, to improve practice and results. Blessing
and Chakrabarti (2009, p.20) refer that models are
used in science to create conceptual organization,
are a resemblance of something that exists in reality
but restricted to some particular aspects of that
reality. Value modeling focuses on value creation,
how value is created, by whom and for whom
(Glova et al., 2014, p. 1125). Thus, initially, we will
construct the reference value model that in design
will represent the existing situation, constituting the
reference against which the desired improvements
are compared. The reference model represents the
level of understanding of the existing situation, then
will be constructed the impact model that represents
the desired situation and shows the impact of the
support to be developed.
DSRM is a research methodology that provides
specific guidelines for iteration in research and
evaluation when the academic research objectives
are in pragmatic nature. Hevner et al. (2004, p.76)
state that the main purpose of design science
research (DSR) is to achieve knowledge and
understanding of a problem domain through the
construction and application of an artifact design,
based on results. DSR has been considered as an
appropriate methodology for the conduction of
research focused on technology and information
systems, being an approach that, when well applied,
produces real scientific rigor.
Hevner (2007, p. 2) understands that knowledge
resulting from the DSR survey must be returned to
the environment in the field of application for study
and evaluation. The field study and evaluation of the
artefact can be performed by methods appropriate to
the implementation of technology, as is the case of
the action investigation method, case study,
simulation, among others.
After presenting DSRM as a research
methodology, we turn to the method Case Study,
considering that part of the research is supported in
telemanagement projects developed by companies in
operation, therefore it is pertinent that there is a
focus on this method. Martins and Belfo (2011,
p.44) define that the case study is a research method
that examines a social phenomenon in its natural
environment, through the collection and analysis of
empirical material from specific social sites, as is the
case of real organizations, with the fundamental
objectives of broadening or deepening knowledge
about certain social phenomena, being able to
construct a theory or test theoretical concepts and
relations between them.
The following research techniques are pertinent
to be used: bibliographic review, direct observation
and interviews. In order to know the current context
of telemanagement, to know how MEs of water
distribution and companies have dealt with the
transformation, to find out what are the greatest
difficulties faced and the solutions found for these
problems, it was necessary to consult documents, but
also by direct observation and interviews with
stakeholders in real institutions (Martins and Belfo,
2011, p.57). The direct observation is based on the
personal contact that the researcher established with
the people in charge of several information systems
companies and with the Water and Sanitation
Municipal Services of Caldas da Rainha
(SMASCR), which included a study visit to ME to
deepen knowledge. Considering that in this context
it is practically impossible to make a survey of the
whole, it has resulted in the possibility of
interviewing only a part of the population, namely
those responsible for the telemanagement projects
known in SMASCR.
Glova et al., (2014, p.1126) present the e
3
-value
technique designed to model value creation and
value exchange within an e-business network with
multiple business actors. With this approach,
commercial activity can be reduced to its main
elements, which, in the simplest case, make up the
value proposition, the distribution channels and the
company's customers, explaining how a multi-actor
network creates, distributes and consumes value by
producing a good or providing a service, so this tool
was selected for the development of this study.
3 RESULTS AND DISCUSSION
Westerlund et al., (2014, p. 5) state that the Internet of
Things (IoT), has become the new network paradigm
that aims to link all objects around us, allowing
anyone access to information at any place and time.
IoT describes the interconnection of objects or
"things" for various purposes including identification,
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communication, sensors, and data collection. IoT
includes the widespread use and distribution of
sensors, and several industries are exploring how to
create smart cities through the extensive use of remote
sensing and cloud computing.
The digital transformation of an organization
depends on two main dimensions: technology (digital
capabilities) and how to lead change (leadership
skills), which are two very distinct dimensions and
each one plays its own role, resulting in that none of
the dimensions is sufficient by itself, but only by
joining the components is it possible to create
advantage for the business as presented by
Westerman et al., (2014, p.13).
A continuous stream of information technologies
(IT) innovations is transforming the traditional
business world. At the level of the water distribution
sector, this transformation depends on the articulation
between the business strategy, the IT strategy and the
IT itself that is introduced and used to create an
infrastructure and IT services adequate to the
operation of the sector and that meets the needs of the
various stakeholders, namely, the State and entities of
the Central Administration, users, MEs, partners,
among others.
From the point of view of market structure, the
water sector is a typical case of natural monopoly
infrastructure management, for technological reasons,
with a single entity providing the service in each
geographical area, with no possibility of choosing an
alternative by users (ERSAR, 2017, p. 17).
In Portugal, downstream water supply is a
fragmented sector, marked by the large number of
management entities, 319, mostly with an intervention
area equal to or less than municipal, which is
explained in part by the majority of the service being
assured by municipal services, but also by the
existence of micro-entities that are composed of
parish councils (ERSAR, 2017, p.51).
The Government is committed to the strategy of
consolidating the downstream MEs, since a number
of relevant studies show that this is where the
significant margin of improvement of the sector is
concentrated, as the capture of these improvements
presupposes the creation of the basic conditions for
the introduction of greater efficiency in the operation
and management of services, which is essential to
meet the sector's main challenges (GAG, 2017, p. 17).
The promotion of regional managing entities with
scale is a great bet, and is part of the PENSAAR 2020
strategy through the "anchor projects".
At the level of telemanagement, the responsibility
matrix of the PENSAAR 2020 measures states that
the Ministry of the Environment and the Operational
Programme for Sustainability and Efficient Use of
Resources (PO SEUR) are the entities that drive
telemanagement and that the monitoring of the
implementation of the measure is the responsibility of
the Water and Waste Services Regulatory Entity
(ERSAR), between the period from 2016 to 2020.
Since this separation of responsibilities between the
various entities in the implementation of PENSAAR
2020 results, no executive function is attributed to the
Central Public Entities and, on the other hand, the
MEs execute almost all measures or actions, and
more, have no responsibility to promote or ensure
them. Considering that MEs have the enforceable
responsibility of telemanagement and that
Government and central services play a role in
boosting and promoting, this means that MEs are
investing to the extent of internal capacities in IT
infrastructure and own information systems that are
provided by business partners.
The implementation of telemanagement by the
MEs involves the conclusion of contracts with several
market partners, namely with the companies installing
and maintaining IoT things or sensors,
telecommunications infrastructure and computing
infrastructure, resulting in exchanges of value
between the parties. Considering the knowledge
acquired in the case study of SMASCR and based on
all the conceptual organization on the roles and the
value exchanges between the various actors and value
markets, it was possible to construct the reference
value model of the telemanagement of the water
domiciliary distribution, using the graphic editor of
the e
3
-value method, as shown in figure 2.
As can be seen from the analysis of the model, the
costs resulting from the implementation of remote
management are supported by the 3 T: State /
Community support, tariffs and taxes. The value path
established for this scenario has the initial stimulus in
the user and ends up in the central entities
representing the sector in the State. Contract costs for
the provision of IoT sensors and other IT infra-
structure and services for telemanagement or teleme-
try are normally supported indirectly by the end-user
who pays the tariffs for the water distribution service,
even if the amounts involved may be alleviated by
State or Community support that is granted directly to
managing entities, or by reducing the costs of such
services resulting from the tax benefits and subsidized
credit lines granted to business partners who market
and maintain the technology. The literature review
and the interviews conducted throughout this research
have confirmed the identified roles and their value-
exchange relationships for what we consider to be a
valid value model.
Water Domiciliary Distribution Telemanagement Value Model
343
Figure 2: Reference value model of the domiciliary water management.
In order to ensure success in digital transforma-
tion, the Government has been adopting strategies in
the field of Information and Communication
Technologies (ICT) in Public Administration (PA)
which aims to rationalize investments, reduce costs
with systems duplication and provide information
sharing between several institutions. In 2017, the
Council of Ministers approved the ICT Strategy 2020,
called the Strategy for Digital Transformation in
Public Administration, the respective Plan of Action
and the Sectorial Plans which are grounded in several
strategic principles like the creation of security,
resilience and data privacy, in order to ensure the
safeguarding of the information held by the PA and
strengthening the digital skills of PA employees and
sharing of resources, to achieve greater efficiency in
their use, adopting measures like the use of cloud
computation and telecommunications.
Laudon and Laudon (2016, p.39) report that,
currently, the success of organizations depends on the
ability to align business strategies and objectives with
available IT, specifying that there are three
interrelated changes in technology: the growth of
cloud computing, the mobile computing platform, and
the growing use of the big data and online software
business as service. These authors noted that cloud
computing is more attractive to small and medium-
sized businesses that can´t afford to buy and own their
own hardware and software. Considering that
organizations that use public clouds do not have the
infrastructure, they do not have to invest heavily in
their own hardware and software. Instead, they buy
the computing services from remote vendors and pay
only for the amount of computing power they actually
use or contract on a monthly or yearly subscription
basis.
The water distribution business depends on the
accuracy and reliability of the data in real time. The
strategic options refer water distribution managing
entities to extend business along the urban water
cycle, but both at the level of decision making and
operational management, the MEs are limited by the
data stored in legacy systems. Currently, it is found
that parts of this data are stored in many legacy
systems that make retrieval and correct unification
extremely difficult for them to be used in decision
making, concluding data is often redundant and
inconsistent, limiting its usefulness (SMASCR, 2017).
The distributed nature of MEs means that storing and
analyzing accurate sets of operational data and
monitoring the various types of equipment installed
along the water network has become increasingly
challenging and resource consuming, notably for
producing production reports.
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Bohm et al., (2010) refer that the most established
value chain approach was presented by Porter (1985),
who created an extended value chain, termed value
system, to account for the collaboration between
companies, representing an interconnected system of
value chains. Thus, the value chain of an organization
can be linked to the value chains of its suppliers,
distributors and customers by forming a value
network that is more customer oriented and operates
less linearly than the traditional value chain. The
technology of the Internet has made it possible to
create highly synchronized value chains, called web-
value networks.
In the digital economy, platform ecosystems are
the basis for creating new value. Success is based on
two key elements: platforms (technology) that are
built to support the business and the business model
that these platforms allow (Accenture, 2018). The
platform-based business model fundamentally
changes how businesses operate, resulting in many
industry sectors accelerating the adoption of digital
technologies backed by cloud computing as the first
crucial step in entering the platform world, according
to site of Accenture (2018).
In the IoT domain, the platform will allow not
only real-time knowledge of the state of the city, but
also direct control of the different systems, using a
user-friendly portal as well as automatic urban space
management through configuration rules that are
transversal to the different domains.
For example, the management entity named
“Empresa Portuguesa das Águas Livres, SA (EPAL)”
distributes water to domestic consumers in Lisbon
and uses the system called Water Optimization for
Network Efficiency (WONE®). The implementation
of WONE® allowed to reduce unbilled water levels
in the Lisbon distribution network from 23.5% in
2005 to around 8% in 2015, placing EPAL at the elite
group of the world's most efficient management
entities, as reported on EPAL's website. WONE®
provides integrated, permanent and systematic
analysis of data from different systems, namely
telemetry, customer system, Geographic Information
System (GIS), among others. The principal
differentiating factors of this approach are the
following: intuitive and user-friendly interface with
cloud technology, simultaneous multi-user
permission, responds to the needs of different areas of
the MEs, with indicators and attractive graphic
presentation, integrated alarms and alerts, easy to
adapt and develop.
Currently, the implementation of telemanagement
presents some problems, for example, the SMASCR
report that there are already shared platforms for the
public sector by National Communications Authority
(ANACOM) that allow public entities to register
infrastructures with GIS
, however, this solution does
not cover services of water, which is why MEs have
to lonely invest and develop a similar root system to
comply with the PENSAAR 2020, which implies a
significant investment for each management entity in
Portugal.
The SMASCR also report that there is currently
few information sharing between management entities
at the telemanagement level. Considering the
SMASCR case study, it is concluded that the invest-
ment in the computing infrastructure is significant and
high and although the ME has the financial capacity
to support the investment, it does not matter that this
effort is multiplied by the majority of the MEs in
Portugal, considering that it is a specialized sector and
there can be interoperability and sharing of resources
and information as defined in the ICT 2020 strategy,
increasing efficiency in the implementation and
ongoing development of IT solutions.
Usually, the implementation of strategic systems
has an impact on ME and requires a profound
organizational change and such strategic transitions
are often difficult to achieve. In addition, not all
expensive to build strategic systems are profitable,
and many of the strategic information systems are
easily copied between the various entities, so it is not
sustainable to invest simultaneously in the
development and refinement of several practically
identical systems. Thus, it is concluded that at the
level of telemanagement, the principles defined in the
ICT 2020 strategy are not being materialized, and
there is scope for improving the efficiency in
telemanagement implementation in Portugal,
increasing the opportunities of the ME with greater
difficulties, allowing greater rigor in allocating state
funds and support and avoiding the increase of the
tariffs applied to final consumers due to investments
at PENSAAR 2020 level.
Under these conditions, beyond the leadership
shown towards horizontal integration and the creation
of MEs with sufficient scale to implement the actions
of PENSAAR 2020 favoring the final consumers, it´s
relevant that the same leadership level is given to
telemanagement implementation by the integration of
MEs. This is possible through the contracting of IT
infrastructure and services with a sufficient level of
scale that allows the increase of the technological
capacities of the downstream and upstream MEs,
independently of the management model, creating
efficiency gains in the implementation of
telemanagement according to the principles of the
ICT 2020 strategy.
Water Domiciliary Distribution Telemanagement Value Model
345
Thus, the Government may appoint or create a
new central entity that is responsible for the
contracting and management of infrastructure and IT
services with support in market partners to respond to
the needs of the MEs at the level of the urban water
cycle. The principles foreseen in the PENSAAR 2020
and ICT 2020 strategies should be applied by the MEs
and the development of a cloud computing service
project is highly advisable for the telemanagement
and operational tasks of the water distribution service.
Based on the new roles of telemanagement
management entity and the partners that provide the
cloud computing service, it was possible to construct
the impact value model of the telemanagement of
domiciliary water distribution, using the e
3
-value
method, as shown in figure 3.
The telemanagement management entity will be
responsible for bridging the cloud computing system
partners, the ME and entities of the Central
Administration, facilitating an efficient integration of
the stakeholders in the value network. The managing
entity of telemanagement is an intervener that has
direct access to the platform to carry out activities of
management and supervision, monitoring of the
system and resolution of nonconformities.
Although we can derive some principles about
value creation and the flow of value within the
telemanagement ecosystem through the cloud
computing service, from the interviews, no valid
quantitative estimate can be made yet, resulting that
future research needs to investigate further on a
broader empirical basis. The proposed value network
can serve as a conceptual validated model for guiding
future research.
In this study, we also consider important to
discuss the process of management of the
telemanagement business model that results from the
value scenario illustrated in the telemanagement
impact model and proposes the iterative alignment of
business and IT strategies as well as the updating of
telemanagement model and objectives, based on the
interests of stakeholders, among other aspects.
Figure 3: Impact value model of the telemanagement network of domiciliary water distribution.
WEBIST 2018 - 14th International Conference on Web Information Systems and Technologies
346
4 CONCLUSIONS
The application of the methodology and methods
throughout the research, based mainly on the
bibliographic review and in the case study of the
reality lived at SMASCR, allowed the construction
of the reference value model and, subsequently, an
impact value model that allows to communicate the
current situation and the desired efficient situation,
respectively, in terms of domiciliary water
management in Portugal.
The study turned out the existing situation and
presents problems considering that the various MEs
are investing in telemanagement information
infrastructure and systems which is more expensive
than sharing a network of services with added value
to the consumers, and that there should be greater
leadership by the Government to achieve an
alignment of the business and IT strategies. The
value scenario built for the desired situation provides
for the appointment of an entity responsible for
telemanagement and will be responsible for the
management of the cloud computing system, which
will allow the development of a platform that
replaces the business model between the traditional
value chain to the value network, with significant
efficiency gains.
The value impact model represents a scenario
that allows greater strategic alignment along with the
adequacy of the organizational and SI
infrastructures, but it is considered relevant that
future research focuses on the empirical validation
of this model in an extended form and, on the other
hand, it will be pertinent to deepen the competences
of the telemanagement management entity in order
to maximize efficiency gains in the sector, beyond
the theme of telemanagement.
REFERENCES
Blessing, L., Chakrabarti, A., 2009. DRM, a Design
Research Methodology. Springer: London. pp. 1-20.
Bohm, M., Koleva, G., Krcmar, H., Leimeister, S., Riedl,
C. 2010. Towards a Generic Value Network for Cloud
Computing, Paper presented at the 7
th
International
Workshop on Economics of Grids, Clouds, Systems,
and Services, Ischia.
Glova, J., Sabol, T., Vajda, V., 2014. Business Models for
the Internet of things Environment. In Procedia
Economics and Finance, N.º 15, pp. 1122-1129.
doi:10.1016/S2212-5671(14)00566-8.
Henderson, J. and Venkatraman, N. 1993. Strategic
Alignment: Leveraging Information Technology for
Transforming Organizations. In IBM Systems Journal
(32:1) pp. 472 - 484.
Hevner, A., 2007. The three cycle view of design science
research. In Scandinavian Journal of Information
Systems. 19(2). pp. 87-92.
Hevner, A., March, S., Park, J. and Ram, S., 2004. Design
Science in Information Systems Research. MIS
Quarterly, 28, 75-106.
Laudon, K., Laudon, J., 2016. Management Information
Systems – Managing the digital firm. 14
th
Edition.
Harlow: Pearson.
Management Support Group of PENSAAR 2020, 2017.
Annual Report 2017 of Annual Evaluation of
PENSAAR 2020. Lisbon.
Martins, J. and Belfo, F., 2011. Methods of Qualitative
Research - Case Studies in Research in Information
Systems. In Proelium, Military Academy Magazine,
n.º 14, pp. 39-71. Military Academy. Lisbon.
Porter, M., 1985. Competitive advantage: creating and
sustaining superior performance. Free Press, New
York.
Water and Sanitation Municipal Services of Caldas da
Rainha (SMASCR). 2017. Report of the Municipal
Water and Sanitation Services of Caldas da Rainha
about year 2016. Caldas da Rainha.
Water and Waste Services Regulatory Entity – ERSAR,
2017. Annual Report of the Portuguese Water and
Waste Services - 2017. Volume 1 - General
characterization of the sector. ERSAR: Lisbon.
Westerlund, M., Leminen, S. and Rajahonka, M., 2014.
Designing Business Models for the Internet of Things.
In Technology Innovation Management Review, July
2014, pp. 5-14.
Westerman, G., Bonnet, D., and Mcafee, A. (2014).
Leading Digital: Turning Technology Into Business
Transformation. Harvard Business Review Press.
Boston. ISBN: 9781625272478.
SITES - INTERNET
Accenture (2018). Sites of Accenture in USA,
https://www.accenture.com/us-en/insight-digital-platfo
rm-economy and https://www.slideshare.net/Accen
tureTechnology/platform-economy-tech-vision-2016-
trend-3, consulted on 15.03.2018.
EPAL (2018). Site of EPAL in Portugal, http://www.ep
al.pt/EPAL/menu/produtos-e-servi%C3%A7os/wone,
consulted on 20.02.2018.
ESTEC (2018). Site of ESTEC in Portugal,
https://www.estec.pt, consulted on 14.04.2018.
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