help of a smart cueing system (SCS), SIRS, which
helps to find a way to solve the problem.
More than 80 SIRS functions are derived,
presented according to groups: quality of innovation
processes, breadth of innovation services, technology
of innovation processes, customer classification and
documentation.
The resource-based approach additionally
considers the current state of the innovation
enterprise, the quality of innovation processes and
their results, and the information-intellectual nature
of the enterprise's innovation activities.
In the role-based approach, lists of main and
subject support roles of IA were formed, to which
subject-system and information-computer aspects of
the problem were attributed. The obtained role
structure of innovative enterprise allowed to make an
additional list of functions for the roles of the head
and main innovation manager, which in terms of
breadth of coverage of IA issues satisfy the
requirement of the list completeness as much as
possible.
Based on these approaches, various SIRS lists of
functions were compiled and subjected to a cluster
analysis. To describe the properties of the functions,
the main types of SIRS support, its resource and
technology components were considered, and the
object orientation was taken into account. The object
orientation was expressed by the IA specificity, the
resource component by knowledge-intensiveness,
and the technological component by the quality of
processability. A dichotomous way of quantifying the
properties of SIRS functions was used. Cluster
analysis takes into account the principle of function
synthesis and the need to combine specific and non-
specific functions in SIRS. The complete structure of
the functions has three main levels: routine,
knowledge-intensive and specific highly intelligent
multimedia.
For each selected function, a list of requirements
was generated for implementation in SIRS, in terms
of generating the information to be collected for each
IA profile and presenting the diagnostic opinion
dynamically, for example, for each type of security
(ordinary shares, preference shares, debentures,
convertible bonds and other securities). The dynamic
nature for all types of investment activities is adjusted
with inflation projections for each calculation period,
and risks are considered and assessed at all stages of
IA development.
According to the typology of technological
systems of strategic innovation research, the main
stages, methods and models used, as well as the
corresponding tool support for technological schemes
of innovation research are grouped.
As the next step in the systematic method of goal-
setting, SIRS modelling was carried out. Conceptual,
algorithmic, functional-structural, criteria and
information models of SIRS have been developed.
The general concept of SIRS consists in
modelling SIRS by implementing the cycle:
management, identification, interoperability,
optimization of the lower IA levels on the basis of
subsystems: computing and information
environment, the SIRS object and interface means,
functionally interconnected by human investment
activities aimed at improving the quality of SIRS
processes and results.
The base-level concept of SIRS is to model SIRS
through distributed management of the downstream
implementation - management, identification,
interoperability and optimisation of the lower levels
of the LED through sub-systems-based dialogue
points.
Hierarchical computing facility, LED object and
modular interfacing facilities, functionally linked by
the activities of SIRS users and maintenance
personnel, aimed at determining the stability of the
current situation, selecting and applying adaptive
bifurcation mechanisms of development, evolution of
the self-organising SIRS system, improving the
efficiency and quality of innovation processes and
SIRS results, automating research on technological
investment processes and implementing active
learning methods in order to improve the SIRS
science and technology base and create a modern
industry of innovation activities.
The base-level concept of prospective SIRS
consists in modelling and synthesis of SIA through
centralized management of top-down cycle -
management, identification, compatibility and
optimization of lower levels of SIA according to the
requests of system users based on subsystems with
programmable architecture: computing environment,
SIA object and intelligent interface tools, functionally
united by user activities as well as system integration,
formalization, structuring, modelling, optimization,
on the one hand, and intellectualization
The architecture of the main subsystems of SIRS
is constructed as a programmable structure in the
form of a set of properties and characteristics that
define the relationships between the blocks of the
system. The architecture of the computing
environment is programmable in order to align it with
the nature of the SIA task at hand. The
programmability of the SIA object structure allows to
solve the task of synthesis, i.e., creation of the SIA