BUSINESS MODEL APROACH FOR QOE OPTIMIZED
SERVICE DELIVERY
Jose I. Aznar, Eduardo Viruete, Julian Fernandez-Navajas, Jose Ruiz-Mas,
Jose Saldana and L. Casadesus
Communication Technologies Group (GTC), Aragon Institute of Engineering Research (I3A)
Dpt. IEC, Ada Byron Building, CPS, Univ. Zaragoza, 50018, Zaragoza, Spain
Keywords: QoE, B2B QoE model, End-user potential market.
Abstract: Current B2B (Business to Business) models are not capable to cover neither customer expectations in terms
of quality nor personalization. Network, service and equipment providers are tied to traditional business
models, missing the opportunity to increase their revenues derived from the integration of Quality of
Experience (QoE) models in their frameworks. In this work, we propose a B2B QoE model which
comprises the main guidelines to successfully integrate the QoE within the value chain and provide with
added-value services to potential subscribers. We also evaluate the potential QoE end-user market for six
European countries. Results indicate that there is a niche for QoE based models which rely on the joint
action of value chain actors and its agreement with the regulatory environment.
1 INTRODUCTION
New multimedia services have acquired
personalization and customization features which are
enclosed under the concept of Quality of Experience
(QoE). ITU-T has defined QoE as “the overall
acceptability of an application or service, as
perceived subjectively by the end-user, where the
overall acceptability may be influenced by user
expectations and context” (ITU-T, 2006).
The overall QoE demand entails a set of
requirements which must be accomplished from
technological and economical perspectives and in
the context of the regulation action. In terms of
technology, Equipment Providers (EPs), Service
Providers (SPs) and Network Providers (NPs) are
expected to handle much higher traffic levels,
offering improved quality. From an economical
perspective, the main difficulty hereby for providers
is that the potential subscribers remain reluctant to
pay more for QoE services. Also the uncertain
attitude of National Regulation Authorities (NRAs)
on QoE technologies might represent a showstopper
as far as regulation actions do not clarify the New
Regulation Framework (NRF).
From this situation, the question which arises is
whether or not it exits a niche for the QoE, or
alternatively, which are the key drivers that may lead
value chain actors to include QoE B2B (Business to
Business) models in their strategies to reach the
customer?
The main issue of this work aims to address this
question through the definition of a novel approach
for a QoE B2B model. This model clearly advocates
for driving innovation through alliances among
operators and providers while keeping competitive.
We also address the relation of the B2B model with
the end-user market: there have been identified the
key factors which may (positively or negatively)
impact users’ willingness to pay and QoE affinity.
The remainder of this paper is organized as
follows: In section 2 the B2B model is explained.
Section 3 presents the key factors which may impact
B2C (Business to Consumer) relationships. User’s
affinity and willingness to pay are also tested.
Section 4 concludes the paper.
2 QOE B2B MODEL APPROACH
2.1 QoE B2B Model
The QoE B2B model entails a shift on the side of
markets to adopt new business roles. There are
multiple individual markets which may be relevant
211
I. Aznar J., Virute E., Fernandez-Navajas J., Ruiz-Mas J., Saldana J. and Casadesus L..
BUSINESS MODEL APROACH FOR QOE OPTIMIZED SERVICE DELIVERY.
DOI: 10.5220/0003486502110214
In Proceedings of the International Conference on e-Business (ICE-B-2011), pages 211-214
ISBN: 978-989-8425-70-6
Copyright
c
2011 SCITEPRESS (Science and Technology Publications, Lda.)
for the B2B model definition. Nevertheless, all these
markets can be combined to create a convergent
environment with three global markets and their
information flows located in two main levels:
application service and network service levels
(Figure 1). Market convergence increases the
possibilities for services and content-related
opportunities emerging for involved players.
Among the defined markets two possible options
may take place to determine if they become or not
strategic partners: “potential alliance or “war”.
The most important requirement that markets
should achieve focuses on partnering strategies
leading for a new revenue distribution model.
2.2 Revenue Distribution Model
High competitive business environments and falling
prices in mature markets have favored the evolution
of the operator model from a “walled garden” model
to an “open garden” one.
In the “walled garden” model, services are
directly retailed to end-users by operators and the
number of content and service providers is limited
by strict contractual agreements.
In contrast, in the “open garden” model, operators
adopt a different approach, which consists of
opening up their network capabilities (i.e. presence,
location, identification, billing) to third parties,
moving from a closed network model to a more
suitable one, in which service rollouts can be faster
to start obtaining revenues quickly.
All these factors may promote a greater
interaction among business actors. Figure 2 schemes
the different proposed relationships which enable to
build a revenue flow map among the markets of the
QoE value chain. Next section details the
characteristics of these partnering strategies.
Network
Device
Providers
PotentialAlliance
APPLICATION LEVEL NETWORK LEVEL
REGULATION
Figure 1: QoE business model based on market
convergence.
2.3 B2B Win-win Alliances
2.3.1 Operators and Equipment Providers
(EPs)
One possibility of revenue share can be identified
between Telecom operators and EPs. EPs may
deploy and manage QoE platforms, enabling
operators to reduce CapEx and OpEx, in return of a
percentage of the new revenue streams. The
integration of QoE in operators’ infrastructures
entails the acquisition of new equipment to deploy
QoE related enhancements. It is therefore necessary
to establish relationships among EPs, chip industry
and operators to provide QoE services.
2.3.2 Telecom operators and Service and
Content Providers (SPs/CPs)
SPs and CPs have been largely keeping a reciprocal
push and pull with operators based on an
accentuated mistrust between them. On one hand,
CPs and SPs are suspicious of enabling operators
manage the content that is provided through their
networks. On the other hand, operators still keep
reluctant to guarantee QoE access levels to
providers, without obtaining substantial profit from
this. Thus, CPs and SPs have the opportunity to
increase their revenues within the value chain if they
shift to an open-mind perspective in the QoE market.
Besides, thanks to operators’ network capabilities,
SPs and CPs will be able to reach a larger number of
customers, while ensuring high QoE.
2.3.3 Alliances among Telecom Operators
Competition in the Telecoms sector avoiding
dominant market positions is a key driver for lower
prices and substantially more attractive broadband
speeds. Europe’s digital deficit claims that the take-
up rate of superfast BB (BroadBand) could be
double in some European countries if networks were
opened to competition. Moreover, the NRF should
regulate BB service-packets fees across Europe.
2.3.4 Advertisers also Take Part
Users could remain reluctant to pay substantially
more for the QoE enhanced services, an already-
known player might be integrated in the value chain:
advertisers. Targeted advertisements could be
included inside service applications and be
optionally offered to users, subsidizing the service.
The QoE specific “personalization” feature is not
limited to users’ demanded contents, but can also be
extended to the advertising industry.
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R
E
G
U
L
A
T
O
R
S
Service/
Content
Market
Telecom
Market
Network
Equipment
Market
Subscriber
Market
NetworkDevice
Telecom
Commercial
Broadcasters
Retailers Communities
Media
Convergence
Content
Delivery
Content
Pro v ider
Communication
CEVendor
A
D
V
E
R
T
I
S
I
N
G
Figure 2: Revenue flow map among incumbent potential
QoE markets.
2.3.5 Regulation and the Global Market
The telecom regulation action definitely impacts the
market, since the laws and actions carried out by
regulation authorities, set the basis for the B2B
ecosystem map. The NRF relies into two main
concepts: first, the need to ensure European
customers to have a greater choice of BB SPs with
prioritization, or differentiated products; and second,
a clear focus on net neutrality. The NRF seems to
match QoE expectances and guarantee the market
deployment and evolution in the mid-term.
However, both at the side of end-users and
wholesalers have appeared opposite points of view.
3 THE END-USER MARKET
3.1 Drivers/Showstoppers Factors
which may Impact the B2C Model
The success of the adoption of QoE to end-users
depends on several factors which may positively or
negatively impact their affinity and willingness to
pay. We have identified three key factors covering
the technological, social and legislatives fields.
From a technological perspective the current
international broadband gap is the most important
issue to be solved: Eastern and Southeast Europe’s
gap with its Western neighbors in terms of access to
high-speed internet is widening and limiting the
access to potential QoE subscribers. Concerning
social trends, recent studies (Microsoft 2009), have
forecasted during the last decade that Internet
consumption would overtake TV during 2010.
Nowadays, this is a fact. Finally, national regulation
actions do not only consist of legislating on how net
neutrality must be established in the B2B model, but
also on setting the rules for subscribers’ access to
content. The main issue that CPs are currently
experiencing deals with the legal piracy vacuum
present in some countries, since it entails significant
lower business perspectives than in countries where
P2P sharing constitute an illegal activity.
3.2 Study of End-user QoE Affinity
We conclude this work with a quantitative approach
of the end-user potential market. The approach
enables to forecast whether or not the there is a will
from the end-user side to acquire and pay for QoE
services. We have addressed the end-user affinity
analysis from a set of descriptors, for six European
countries and also for the overall EU-27 former
states.
The study has been conducted based on the
measurement of the end-user potential market
demand (EuPM) characterized by (1) taken and
adapted from the marketing management
environment (Kotler, 2006):
WP Q vN EuPM ×
×
×
=
(1)
Where the factor
vN
×
(2)
represents users’ potential affinity in the QoE
market. Q is the acquired product quantity by a
medium purchaser and WP represents the price
assigned to the product of interest, in this case, the
QoE. This study focuses on (2). Q and WP factors
determination are out of the scope of this work.
N represents the potential household BB fixed-
access penetration rate. N values have been
compiled from (TNS, 2010) and can be observed in
Table 1. v is the relevant percentage of BB
households that may consume QoE services. This
descriptor has been derived from two secondary
descriptors: The “National Education Attainment”
and the end-users’ “age rank” descriptors. The main
considerations for v descriptor have been also
categorized: assumptions related to the “age-rank”
descriptor: people below 25 do not represent QoE
potential consumers. People between 25 and 79
represent the most valuable group since they
perceive a salary and are closely related too. People
above 80 are neither technology nor QoE familiar.
The v descriptor values (shown in Table 1) have
been derived from public statistic data (UNESCO,
2010), (UNDP, 2009). The “National Education
Attainment” descriptor has been divided into three
levels: low, medium and high education attainment.
BUSINESS MODEL APROACH FOR QOE OPTIMIZED SERVICE DELIVERY
213
Table 1: N and v values for end-user QoE affinity analysis.
Country
Number of
households
(Thousand)
Household
BB
penetration
N (% of BB
households)
Share of
relevant
QoE
v (% of BB
households)
Belgium
4568 54% 53.97%
EU-27
202925.2 48% 38%
France
27392.9 59% 52.89%
Germany
39311.2 45% 41%
Netherlands
7269.8 79% 59.77%
Spain
17076.3 44% 37.10%
UK
26753.3 58% 57.07%
It has been assumed that low education attainment
people do not represent QoE relevant consumers.
Figure 3 shows the relevant share of QoE end-
user potential consumers (N * v product) for each
country. This represents an approach to determine
the percentage of country population which, having
access to QoE technology may be allied to the QoE
market. Country values have been normalized to
their corresponding total population.
The Netherlands and the UK present a major
affinity for QoE consumption, whereas EU-27 and
Spain values reflect a minor affinity. Results are
directly impacted by the national BB penetration and
the legal vacuum in terms of piracy (see section 3.1).
Two main affinity levels can be observed: On
one side, there can be found countries in which BB
deployment is over 50% (The Netherlands, Belgium,
France and UK), where piracy and P2P are
forbidden (Germany and France) or both. These
countries present an affinity degree over 25% of the
total population. On the other level we find the EU-
27 and Spain, were the lower level affinity is caused
by the lack of legislation in terms of P2P and the
lower BB household penetration, which is still far
from reaching top countries. Neither Spain nor the
EU-27 reaches a 25% of QoE affinity degree.
4 CONCLUSIONS
The QoE B2B market has been depicted as a
landscape of alliances and partnerships among three
main markets explained through the B2B QoE
model. The revenue distribution model and the
proposed alliances among SPs, EPs, CPs and
Telecom Operators may drive the QoE integration
and consist of a combination of personalized
services and customized applications which attract
end-users to the QoE market. Regulation authorities
may accomplish a homogenized regulation to permit
operators and providers low fares. The end-user
potential affinity shows that they are not yet aware
Figure 3: Relative country QoE affinity.
of the benefits that QoE based services provide.
There is a demand, but it must be encouraged.
Summing up, the QoE market is hanging by a
thread. There is a niche for the QoE market which
mostly depends not only on how the BB is carried
out, but also on the companies’ marketing strategies.
ACKNOWLEDGEMENTS
This work has been partially financed by CPUFLIPI
Project (MICINN TIN2010-17298) and the Catedra
Telefonica of University of Zaragoza.
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