From Fig. 1 it can be seen that there are many
domains, however that for a particular knowledge to
be sourced Domain Context needs to be defined. Such
Context specifies types of products and /or services
that need to be provided and / or offered.
Following this, it is important to source a network
of interested participants. Individual skills within the
network domain can range from expert to novice to
those that just require services and / or products.
Consequently, data gathered needs to be filtered,
so it can meet specific parameters such as time,
location and circumstances where certain decisions or
services are required. This for example can be done
utilising the geographical coordinates to map exactly
where opportunities for services are, and which
providers are closest in proximity and can offer them
in a timely manner. Once service is being delivered
and requirements of the customer attended to, system
has an inbuilt feedback loop that require all
participants to provide it.
Feedback helps define quality, remove
redundancies and acknowledge those who act in
accordance to the requirements. Consequently, a
feedback loop crates valued network chains and helps
stream traffic in a direction where value is being
created (positive reviews).
Actors or participants new to the market often are
required to spend additional efforts marketing their
services, so that they can become a valued node
within the network.
Therefore, the system mimics characteristics of
the organic system. Such systems source resources
for survival from those who can provide them. Its
wellbeing or usability depends on a number of people
that interact within and across its value networks.
As members of the networks interact they are
being rated and their performance acknowledged.
Members of networks learn, provide feedback and
teach those who require skills.
The only drawback of the network like this is that
it corresponds to the “historic cave times” where
those who were able to hunt were rewarded (those
who provide services) and those who did not got
killed (get extracted from the network, either due to
not participating or due to not behaving in accordance
to regulations).
During “the cave times” there were no legal
regulations that were governing operations. Tribe
chiefs or the tribes themselves, in the electronic case
the followers of specific services or providers,
determine future of participants (both those requiring
service as customers and those providing services). It
is expected however that in the future there will be
strictly determined policies and legal regulations that
will seamlessly help drive and support electronic
network driven exchanges.
6 CONCLUSIONS
In the future it can be noted that there will be many
new business models that will be based and delivered
purely on a technology platforms. It can be noted that
companies as Uber, Airbnb, Skillshare, Airtasker,
Parkhound have all been started by technology gurus,
not industry experts. None of these companies have
experts in hospitality, education, transport, parking
nor services.
Inventors in each of the five cases were able to
identify a demand in a sector, identify gaps in current
services and propose solutions that are helping fill
current known operation gaps.
Solutions proposed therefore identify that we live
in a networked world, where most working
individuals in developed countries are connected
24/7.
Considering, inventors identify that anyone with
the skill or resources can for a fee provide a service
or deliver a product utilising a technology platform as
a medium commonly used for social networking
exchanges.
By doing so, they remove any entrance barriers
and regulations, strict check procedures and
educational pre-requisites. They do however provide
certain terms and condition that do cover some
insurance.
All five companies’ systems operate organically.
They give those who are effective rewards and shame
those who are not providing suitable services or
behave inappropriately. Consequently, systems run as
a semi-open loop, keeping and rewarding those who
are performing well, acknowledging new entrants
who have reached certain standards and providing
negative feedback to those who are not meeting the
expectation.
Systems like these are mimicking natural
selection. Those who are successful and well
supported by their networks are regarded highly, are
continuously engaged and are also based on the
reviews more likely to be selected by the new
entrants. For those with poor ratings it is becoming
harder and harder to prove their worth and stay
competitive.
Future studies are required to study organically
behaving transformed organisational systems. It is
expected that future studies will look into how
organic systems could become more robust and how
in the future they may be able to incorporate stricter