Diversity of Open Intellectual Capital Acquisition by SMEs of
Different Branches
Tomasz Sierotowicz
a
Department of Economics and Innovation, Institute of Economics, Finance and Management,
Faculty of Management and Social Communication, Jagiellonian University, Prof. Lojasiewicza 4, 30-348, Krakow, Poland
Keywords: Open Intellectual Capital, Acquisition of Open Intellectual Capital, Intellectual Capital, Empirical
Comparative Analysis.
Abstract: Research studies on intellectual capital (IC) focus on its utilisation by mainly large enterprises and its effect
on selected indicators. IC is subject to single-stream analyses as an internal enterprise resource. Because IC
is used in the business operations of enterprises, it must be acquired. This paper presents the results of research
conducted in an unexplored field of IC acquisition. This research focused on innovative small- and medium-
sized enterprises (SMEs) belonging to the two branches of software and hardware development in Poland
(2008–2019). Empirical data were obtained in time series form using dedicated statistical tools, including the
dynamic rate. The main conclusion of a comparative analysis revealed that IC acquisition in the SMEs in this
research should be described as a simultaneous dual-stream (internal and external) process, and IC acquisition
differs significantly between compared branches. Thus, the open IC (OIC) concept should be used in IC
acquisition research. Future research can focus on comparative analyses of enterprises belonged to different
branches, thereby extending our knowledge of the importance of OIC in business.
1 INTRODUCTION
Intangible assets are indicated with increasing
frequency as an important factor in the knowledge
economy for sustained growth, success and increased
enterprise market value (Barney and Hesterly, 2019).
Intangible resources, particularly intellectual capital
(IC), are perceived by large enterprises as strategic for
sustained growth and success (Edvinsson and
Malone, 1997; Santis et al., 2019; Stewart, 1998;
Sveiby, 2001). The use of many different IC
components and their constituent parts is dictated
principally by the needs of enterprises’ business
activities.
The research presented in the literature mainly
addresses large enterprises and questions relating to
the transfer of knowledge inside and outside of these
enterprises (Alimov and Officer, 2017; Matricano et
al., 2020). They focus on topics such as IC value
measurement (Pulic, 2004; Wiederhold, 2014), the
share of IC in the market value of an enterprise
(Mačerinskienė and Survilaitė, 2019; Yovita et al.,
2018), value-added creation in an enterprise
a
https://orcid.org/0000-0002-1462-8267
(Abeysekera, 2021; Pike and Roos, 2000) and other
selected outputs and indicators achieved by that group
of enterprises (Nazari, 2015; Roos and Pike, 2018;
Santis et al., 2019). These studies conclude that
specific IC components are used in line with the types
and in-depth knowledge of the individual conditions
of large enterprises’ business activities. The results of
these studies are widely used in developing IC
models. Particular attention is paid to the models that
aim to describe the effect of IC use on selected indices
and performance indicators (Hejase et al., 2016; Lee
and Wong, 2019).
However, management practice indicates that IC
is not a self-renewable resource; it must be actively
acquired and developed by enterprises. Thus, the
utilisation and the acquisition of IC must be
considered equally important key processes in the
business activities of any enterprise regardless of their
size and branch. Intellectual capital must first be
acquired to the extent necessary to ensure the
continuity of an enterprise’s business activities. Since
IC must be acquired before it is used, it can be
assumed that IC acquisition also represents a
Sierotowicz, T.
Diversity of Open Intellectual Capital Acquisition by SMEs of Different Branches.
DOI: 10.5220/0011337400003280
In Proceedings of the 19th International Conference on Smart Business Technologies (ICSBT 2022), pages 69-79
ISBN: 978-989-758-587-6; ISSN: 2184-772X
Copyright
c
2022 by SCITEPRESS Science and Technology Publications, Lda. All rights reserved
69
systematic and continual process related to an
enterprise’s business activities. The above reasons
underlie the choice of innovative small- and medium-
sized enterprises (SMEs) belonging to different
branches conducting their business activities in
Poland. Since IC acquisition and use are equally
important, the absence of research on IC acquisition
represents a major gap in our knowledge.
Another gap in the literature on this subject is the
absence of studies covering relatively long periods.
Most analyses are limited to one year, which provides
only a snapshot of the results. The presented reasons
are important barriers to conducting comparative
research on IC. Therefore, the research presented in
this paper aims to fill the above-mentioned gaps.
This study aims to present and discuss the results
of research on the comparative analysis and
evaluation of open IC (OIC) acquisition performed by
SMEs belonging to different branches and conducting
business activities in Poland as observed over 12
years of time period.
2 MATERIALS AND METHOD
It is important to note that SMEs in the two branches
covered by the research conduct different business
activities. The first branch consisted of SMEs that
develop software in Poland (and belong to the branch
of knowledge-intensive services). Their business is
described in Nomenclature statistique des Activités
économiques dans la Communauté Européenne
(NACE) classes 62.01 and 62.02 (European
Communities, 2008). For simplicity of description, it
is termed in this paper as branch 62. The second
branch consisted of SMEs that manufacture
computer, electronic and optical products (and belong
to the high-tech manufacturing [hardware] branch).
Their business is described in NACE classes 26.11,
26.12, 26.20, 26.30, 26.40, 26.51, 26.52, 26.70 and
26.80 (European Communities, 2008). For simplicity
of description, it is termed in this paper as branch 26.
Nowadays, information and communication
technology (ICT) equipment is composed of
hardware and software products. Although these
branches represent significantly different business
activities, their products are unavoidable parts of
today’s ICT tools. The above-mentioned branches
conduct different business activities, and at the same
time, their products are integrated in nowadays
communication equipment. The above-mentioned
issues were arguments why these two branches were
selected for inclusion in the research. Because the
business activities of these two branches differ
significantly, an important main research question
was raised: Does the acquisition of OIC indicate
differentiation between the branches covered by the
research? To answer the main research question, the
following detailed questions were formulated:
1. Was OIC acquired simultaneously and
continuously in two entire streams (internal and
external) in both branches over the entire research
period?
2. Which OIC acquisition stream was more
important for the surveyed SMEs in both branches
considering the level of acquisition of that capital?
3. Which OIC acquisition stream was more
important for the surveyed SMEs in both branches
considering the dynamic rate of change in the OIC
acquisition level?
4. Which acquired OIC components were most
important for the surveyed SMEs in both branches
considering the share and dynamic rate of change in
the levels of each component acquisition?
An analysis was conducted over the three stages
described below to answer the above-mentioned
questions.
2.1 Description of Open Intellectual
Capital Concepts
The first stage was to propose the broadest IC concept
used in this research. It was an important stage since
there is no universal concept of IC in the literature.
Many IC concepts proposed in the literature on the
subject vary in component sets. Thus, an IC concept
including as many components as possible was used
as a basis to develop the IC for this research. The
concept of IC proposed here is as broad as possible.
It includes numerous components, facilitating a more
detailed analysis and evaluation of the IC acquisition
process. Also, it was useful because only the selected
components and their constituent parts, which create
the structure of IC, are utilised in the SME operations
covered by this research. Based on managerial
practice, it can be assumed that enterprises differ in
their utilisation of IC. It depends on many enterprises’
external factors, such as the social and economic
environments, the industry and internal factors related
to individual conditions of enterprises, e.g. their size
and employees’ educational backgrounds and
occupational experience.
The concept used in this research was formulated
according to the rule of the uniqueness of IC
components. Considering the most comprehensive IC
concepts in terms of their components and constituent
parts, which are also popular in the literature, and
following the above rule, an IC concept consisting of
ICSBT 2022 - 19th International Conference on Smart Business Technologies
70
the following components was developed and used in
this research:
Human capital;
Organisational capital;
Relational capital;
Project capital;
Innovation capital;
Information capital;
Technological capital.
A survey was conducted with an identical component
structure but divided into separate internal and
external IC acquisition streams. These OIC
components were acquired by SMEs covered by the
research. The internal stream describes IC generation
internally within the surveyed SMEs based on their
own resources. The external stream describes the IC
acquisition process from the external environment of
the surveyed SMEs. For methodological reasons,
comparative analyses required the same IC
component structure in both (symmetric) streams.
Thus, the formulated concept was termed OIC.
The second stage of this research was to analyse
and evaluate the dynamics of OIC acquisition at the
level of two symmetric, simultaneous and
independent (internal and external) streams in the
SMEs covered by the research.
The third stage of this research was to
independently analyse and evaluate the dynamics of
OIC acquisition at the component level for the
internal and external streams in the SMEs covered by
the research.
To answer the research questions, comparative
analyses were made at the level of the streams and the
individual OIC components that constitute the
internal and external streams of capital acquisition.
2.2 Empirical Data, Research Period
and SMEs Covered by the
Research Project
The set of variables describing individual OIC
components, which were symmetric in the internal
and external streams for both branches covered by the
research, was obtained and compiled based on a form
used in a regular survey for innovative entities. In the
form of a time series, the original empirical data set
was obtained from a regular survey conducted by
Statistics Poland.
The survey covered two groups of innovative
SMEs belonging to different branches described
above in chapter 2. Branch 62 consisted of SMEs that
develop software in Poland and branch 26 consisted
of SMEs that manufacture computer, electronic and
optical products. Both branches were covered by the
entire research period of 12 years, from 2008 to 2019.
The SMEs covered by the research in both branches
were characterised by the number of employees,
which varied from 10 to 249. The population of the
surveyed group is given in Table 1.
Table 1: Number of SMEs covered by the research.
Year / Number of SMEs Branch 62 Branch 26
2008 278 186
2009 291 185
2010 269 181
2011 306 193
2012 314 177
2013 347 168
2014 338 198
2015 345 211
2016 352 224
2017 367 222
2018 382 205
2019 403 196
The time series contained 12 annual observations;
these covered the research period of 2008–2019 and
described each acquired by SMEs covered by the
research component constituting OIC separately in
the internal and external streams and branches studied
(Table 2).
Table 2: Time series of the variables used in the performed
comparative analysis.
Streams of OIC
ac
q
uire
d
com
p
onents
Description of variables
characterising the acquiring of
OIC
Branch 62
Branch
26
Streams of components forming the internal stream of
acquired OI
C
i
62_1
i
26_1
Human Ca
p
ital
i
62_2
i
26_2
Or
g
anisational Ca
p
ital
i
62_3
i
26_3
Relational Ca
p
ital
i
62_4
i
26_4
Technological Capital
i
62_5
i
26_5
Information Capital
i
62_6
i
26_6
Project Capital
i
62_7
i
26_7
Innovation Ca
p
ital
Streams of components forming the external stream of
acquired OI
C
e
62_8
e
26_8
Human Capital
e
62_9
e
26_9
Or
anisational Ca
ital
e
62_10
e
26_10
Relational Ca
p
ital
e
62_11
e
26_11
Technological Capital
e
62_12
e
26_12
Information Capital
e
62_13
e
26_13
Project Capital
e
62_14
e
26_14
Innovation Ca
p
ital
The different variables characterise topics directly
related to the acquisition of OIC and are
Diversity of Open Intellectual Capital Acquisition by SMEs of Different Branches
71
indispensable to the business conducted by the SMEs
studied in both branches. Thus, this research
conducted a comparative analysis and evaluation of
OIC acquisition in both branches to answer the
research questions. Such analysis and evaluation
required purposefully selected computational tools
and the division of OIC acquisition into internal and
external streams (both at the component level and the
stream level) separately for the SMEs in the two
branches covered by this research.
2.3 Empirical Analysis in the Internal
and External Streams Level of
Open Intellectual Capital
Acquisition
The calculations in the second stage of analysis and
evaluation consider the level of OIC acquisition in the
internal and external streams over the entire research
period. They were performed based on variables
forming a time series of annual empirical
observations of the acquired constituent parts
comprising each of the structural components of OIC.
The level of OIC acquisition in the internal stream
was calculated using the variables marked in Table 2
as i
62_1
i
62_7
for the SMEs belonging to branch 62
and i
26_1
i
26_7
for those belonging to branch 26 of the
enterprises covered by this research. Similarly, the
level of OIC acquisition in the external stream was
calculated using the variables marked in Table 2 as
i
62_8
– i
62_14
for the SMEs belonging to branch 62 and
i
26_8
i
26_14
for SMEs belonging to branch 26 of the
enterprises covered by this research. Consequently,
both streams in both branches consist of similar
groups of seven components and their constituent
parts, which form the OIC structure in each year of
the research period. Thus, unit streams of individual
OIC component acquisition levels could be used to
build an index of the overall level of OIC acquisition
for each branch covered by this research, which was
calculated according to Equation 1:
()
,
b
b
7
ibt
i=1
inbt
sbt
14
exbt
jbt
j=8
v
v
ind = = , t = 2008,...,2019
v
v
(1)
where:
t – the subsequent year in the time series;
b the index (from 1 to 2) denoting branches covered
by the research: b = 1 for SMEs belonging to branch
62 and b = 2 for SMEs belonging to branch 26 (Table
2);
i
b
the index of each variable i
62_1
i
62_7
for b = 1
and i
26_1
– i
26_7
for b = 2, representing the subsequent
component of OIC in the internal stream of both
branches covered by the research;
v
ibt
– the level of the acquired subsequent component
i, of OIC in the internal stream (calculated in
subsequent branch b and year t);
v
inbt
– the level of the acquired internal stream of OIC
(calculated in subsequent branch b and year t);
j
b
the index of each variable i
62_8
i
62_14
for b = 1
and i
26_8
– i
26_14
for b = 2 representing the subsequent
component of OIC in the external stream of both
branches covered by the research;
v
jtb
– the level of the acquired subsequent component
j of OIC in the external stream in subsequent branch
b and year t;
v
exbt
the level of the acquired external stream of OIC
(calculated in subsequent branch b and year t), and
ind
sbt
indices of the overall OIC acquisition by the
SMEs covered by this research (calculated in
subsequent branch b and year t).
The calculated value of the indices of the overall
OIC acquisition ind
stb
provides information for each
branch covered by this research as to whether OIC is
acquired in both streams simultaneously, continually
and systematically. It also indicates which stream of
OIC acquisition reached a higher level in the
surveyed SMEs in each branch in each year of the
research period. The calculated indices provide
answers to the first and second research questions.
The values of obtained variables i
inbt
, i
exbt
and
ind
sbt
, which take the form of time series, were used
to analyse the dynamic rate of change in OIC
acquisition in the surveyed SMEs in both branches
over the entire research period (Hatcher, 2013;
Sharpe et al., 2014). The dynamic rate of change in
the above-described time series was calculated
according to Equation 2:
()
,
N
b(t)
N1
nb
t=2
b(t 1)
n
T = 1 ×100%, t = 2008,...,2019
n



−∀




(2)
where:
t – the subsequent year in the time series;
N the number of annual observations in a time series
of the subsequent variable calculated in that stage of
research in the adopted research period;
b – the index ranging from 1 to 2 and denoting
branches covered by the research: b = 1 for SMEs
belonging to branch 62 and b = 2 for SMEs belonging
to branch 26 (Table 2);
n
b(t)
the three calculated variables denoted in each
internal and external stream, branch b and year t: n
1
ICSBT 2022 - 19th International Conference on Smart Business Technologies
72
i
int1(t)
, n
2
i
ext1(t)
, n
3
ind
s1(t)
, n
4
i
in2(t)
, n
5
i
ex2(t)
, n
6
ind
s2(t)
;
b(t)
b(t 1)
n
n
the next chain index value of the three
calculated variables denoted in the internal and
external stream and branch b, and year t;
nb
T
– the value of the dynamic rate of change in each
of the three calculated variables denoted in each
branch b, respectively:
1in1
TTi
,
2 ex1
TTi
,
3s1
TTind
,
4in2
TTi
,
5 ext2
TTi
,
6s2
TTind
.
An interpretation of the dynamic rate of change
nb
T
answers the third research question. As the dynamic
rate of change exceeds 1, the level of OIC acquisition
rises; this means that IC becomes increasingly
important for the business activities that take place in
the surveyed SMEs in both branches since OIC is
acquired in line with the demand created by these
activities. This tool is also useful in determining the
dynamic rate of change in the acquisition level
separately for the internal and external streams of
OIC in the SMEs of both branches over the entire
research period.
2.4 Empirical Analysis in the Internal
and External Component Level of
Open Intellectual Capital
Acquisition
The third stage of analysis and evaluation is aimed at
analysing the dynamic rates of change in OIC
acquisition by the SMEs of both branches at the
component level constituting the internal and external
streams. This stage consists of the two phases
described below, which address different aspects of
the analysis and evaluation of the diversified
acquisition of OIC at the component level. Phase 1 of
Stage 3 was dedicated to analysing and evaluating the
share of individual OIC component acquisition levels
in the internal and external streams separately for
both branches over the entire research period. The
share of individual OIC component acquisition levels
in the internal stream in both branches over the entire
research period was calculated according to Equation
3:
()
()
() ()
,
2019
ib t
t=2008
ib
2019
ib t jb t
t=2008
in
Inc = ×100%, t = 2008,...,2019; i = 1,...,7; j = 8,...,14
in +ex





(3)
where:
t – the subsequent year in the time series;
b – the index ranging from 1 to 2 and denoting
branches covered by the research: b = 1 for SMEs
belonging to branch 62, and b = 2 for SMEs
belonging to branch 26 (Table 2);
i
b
the index of each variable i
62_1
i
62_7
for b = 1
and i
26_1
– i
26_7
for b = 2, representing the subsequent
component of OIC in the internal stream of both
branches covered by the research;
j
b
the index of each variable i
62_8
i
62_14
for b = 1
and i
26_8
– i
26_14
for b = 2 representing the subsequent
component of OIC in the external stream of both
branches covered by the research;
in
ib(t)
the acquisition level of subsequent component
i included in the internal stream of OIC acquisition by
the surveyed SMEs in branch b and subsequent year t
of the research period;
ex
jb(t)
the acquisition level of subsequent component
j included in the external stream of OIC acquisition
by the surveyed SMEs in branch b and subsequent
year t of the research period, and
Inc
ib
the share of the acquisition level of subsequent
component i included in the internal stream of OIC
acquired by the surveyed SMEs in branch b over the
entire research period.
The share of individual OIC component
acquisition levels in the external stream in both
branches over the entire research period was
calculated according to Equation 4:
()
()
() ()
,
2019
jb t
t=2008
jb
2019
ib t jb t
t=2008
ex
Exc = ×100%, t = 2008,...,2019; i = 1,...,7; j = 8,...,14
in + ex





(4)
where:
t – the subsequent year in the time series;
b – the index ranging from 1 to 2 and denoting
branches covered by the research: b – 1 for SMEs
belonging to branch 62 and b – 2 for SMEs belonging
to branch 26 (Table 2);
i
b
the index of each variable i
62_1
i
62_7
for b – 1 and
i
26_1
i
26_7
for b – 2, representing the subsequent
component of OIC in the internal stream of both
branches covered by the research;
j
b
the index of each variable i
62_8
i
62_14
for b – 1
and i
26_8
– i
26_14
for b – 2 representing the subsequent
component of OIC in the external stream of both
branches covered by the research;
in
ib(t)
the acquisition level of subsequent component
i included in the internal stream of OIC acquisition by
the surveyed SMEs in branch b and subsequent year t
of the research period;
ex
jb(t)
the acquisition level of subsequent component
j included in the external stream of OIC acquisition
by the surveyed SMEs in branch b and subsequent
year t of the research period, and
Diversity of Open Intellectual Capital Acquisition by SMEs of Different Branches
73
Exc
jb
the share of the acquisition level of subsequent
component j included in the external stream of OIC
acquired by the surveyed SMEs in branch b over the
entire research period.
Phase 2 of Stage 3 was dedicated to analysing and
evaluating the dynamic rate of change in each
component of the acquired OIC in both branches
covered by this research (Hatcher, 2013; Sharpe et al.,
2014). The dynamic rate of change in this section was
calculated according to Equation 5:
,
N
bcs(t)
N1
bcs
t=2
bcs(t 1)
v
T = 1 ×100%, c = 1,...,7; s = 1,2
v




−∀







(5)
where:
t – the subsequent year in the time series;
N the number of annual observations in the time
series of the subsequent components included in the
OIC acquired by the surveyed SMEs over the adopted
research period;
b – the index ranging from 1 to 2 and denoting
branches covered by the research: b – 1 for SMEs
belonging to branch 62 and b – 2 for SMEs belonging
to branch 26 (Table 2);
c an index ranging from 1 to 7, denoting subsequent
components included in the OIC acquired by the
surveyed SMEs over the adopted research period;
s index 1 or 2 indicating, respectively, the internal
or external stream of OIC acquisition by the SMEs
covered by the research;
bcs(t)
bcs(t 1)
v
v
another value of a chain index in the time
series of the acquisition level of subsequent
component c included in the OIC acquired by the
surveyed SMEs in branch b and subsequent year t of
the research period; and
bcs
T
the dynamic rate of change in the acquisition
level of component c (included in the OIC acquired
by the surveyed SMEs in branch b) over the entire
research period in the internal and external stream (s)
separately.
The share of individual OIC component
acquisition levels in the internal and external streams
of the SMEs belonging to both branches and the
dynamic rate of change
bcs
T
calculated in this phase
allowed to answer the fourth research question. As the
dynamic rate of change exceeds 1, the level of
acquisition of an OIC component rises, which means
that IC becomes increasingly important for the
business activities of the surveyed SMEs since OIC is
acquired in line with the demand created by these
activities.
3 RESEARCH RESULTS
The results of the calculated annual indices of the
overall OIC acquisition level ind
s1t
and ind
s2t
of the
SMEs covered by the research and belonging to
branches 62 and 26, respectively, are shown in Table
3. They were obtained from Equation 1.
Table 3: Calculated results of the OIC acquisition level by
the SMEs of branches 62 and 26.
Branch 62 Branch 26
Year /
Designation
v
in1t
[number]
v
ex1t
[number]
ind
s1t
v
in2t
[number]
v
ex2t
[number]
ind
s2t
2008 698 494 1.412 335 492 0.681
2009 836 576 1.451 408 576 0.701
2010 707 486 1.454 439 580 0.756
2011 643 518 1.241 476 642 0.741
2012 739 496 1.489 464 584 0.794
2013 945 534 1.769 462 555 0.832
2014 743 554 1.341 549 604 0.908
2015 980 571 1.761 602 632 0.952
2016 787 592 1.329 656 698 0.939
2017 895 652 1.372 643 719 0.894
2018 1151 785 1.466 545 811 0.672
2019 1162 879 1.321 490 717 0.683
The obtained calculation results indicate that the
values of index ind
s1t
, which represents those covered
by the research SMEs of branch 62, are greater than
1. In comparison, index ind
s2t
, which represents the
SMEs belonging to branch 26, is lower than 1 in each
year of the research period. Thus, the comparative
analysis reveals that IC was acquired by the surveyed
SMEs in both branches simultaneously, continually
and systematically during the entire research period
in the two internal and external streams because the
variables in v
in1t
and v
ex1t
describe branch 62, and v
in2t
,
v
ex2t
describe branch 26, assuming positive values
(Table 3).
The values of index ind
s1t
, which represents the
SMEs belonging to branch 62, are greater than 1
(Figure 1). Thus, considering the level of OIC
acquisition, the internal stream is more important for
the software-developing SMEs of branch 62 since its
OIC acquisition level is greater than the acquisition
level of OIC in the external stream (i.e. the variable
v
in1t
is greater than v
ex1t
).
ICSBT 2022 - 19th International Conference on Smart Business Technologies
74
Figure 1: Diversified level of OIC acquisition in branches
62 and 26.
The opposite situation reveals the values of index
ind
s2t
, which represents the SMEs belonging to
branch 26, which are lower than 1 (Figure 1) in each
year of the research period. It signifies that the
external stream is more important for the hardware-
producing SMEs of branch 26 since its OIC
acquisition level is greater than the acquisition level
of OIC in the internal stream (i.e. the variable v
ext2t
is
greater than v
in2t
). The conclusions presented above
answer the first and second research questions. Table
4 shows the results obtained using Equation 2 to
determine the dynamic rate of change in OIC
acquisition in the internal and external streams and
the overall OIC acquisition of the SMEs representing
branches 62 and 26 covered by the research.
Table 4: Calculated dynamic rates of change in the level of
OIC acquisition in branches 62 and 26.
Branch 62 Branch 26
in1
Ti
ex1
Ti
1
Tind
in2
Ti
ext2
Ti
2
Tind
4.74% 5.38% -0.60% 3.52% 3.48% 0.03%
The calculation results indicate that the level of
OIC acquisition in the internal and external streams
rose year on year by 4.74% and 5.38%, respectively,
on average, over the entire research period for the
SMEs belonging to branch 62. A similar situation
reveals the results for SMEs belonging to branch 26,
for which OIC acquisition in the internal and external
streams rose year on year by 3.52% and 3.48%,
respectively, on average, over the entire research
period. The indices of the overall OIC level decreased
year on year by 0.60%, on average, over the entire
research period for branch 62, while they rose year on
year by 0.03% for branch 26. The results of the
comparative analysis allowed to conclude that in both
branches, the internal and external levels of OIC
acquisition rose year on year over the entire research
period. However, in conjunction with the results
presented in Figure 1, the comparative analysis led to
the conclusion that there is opposite importance of
streams of the OIC acquisition in both branches. In
branch 62, the internal stream is more important,
while in branch 26, the external stream is more
important. This situation can be interpreted via the
direct relation of acquired IC to business activities.
The SMEs in branch 62 generated more added value
to the software-developing products in their internal
environment than those producing hardware and
belonging to branch 26. The main conclusion is that
although the SMEs in both branches are innovative,
those in branch 62 are more creative, while those in
branch 26 are more reproductive.
Table 5 shows the calculation results of the
individual components of the OIC acquisition level
separately in the internal and external streams as a
share of overall OIC acquisition for both compared
branches over the entire research period. The
calculations were performed according to Equations
3 and 4. The results obtained indicate that the
surveyed SMEs belonging to branch 62 acquired the
highest share of acquisition over the entire research
period, indicating both innovation and project capital.
These results answer the fourth research question.
Table 5: Calculated values of component share in OIC
acquisition over the entire research period.
B
ranch 62
OIC component
Internal
stream
External
stream
Innovation Capital 84.99% 15.01%
Project Capital 81.00% 19.00%
Information Capital 70.28% 29.72%
Human Ca
p
ital 52.82% 47.18%
Or
g
anisational Ca
p
ital 39.68% 60.32%
Relational Ca
p
ital 30.02% 69.98%
Technological Capital 0.00% 100.00%
B
ranch 2
6
OIC component
Internal
stream
External
stream
Innovation Capital 34.93% 65.07%
Project Capital 26.54% 73.46%
Information Ca
p
ital 43.69% 56.31%
Human Ca
p
ital 55.77% 44.23%
Or
g
anisational Ca
p
ital 60.61% 39.39%
Relational Capital 37.58% 62.42%
Technological Capital 72.30% 27.70%
Diversity of Open Intellectual Capital Acquisition by SMEs of Different Branches
75
Innovative solutions and knowledge of IT project
management techniques principally through the
internal stream. The managerial techniques are
adapted to the individual conditions in each enterprise
so that the processes of software development and
improvement are managed to create the maximum
added value represented by an innovative product.
Technological and relational capital were mostly
acquired in the external stream. The technological
capital component includes computer technologies
and equipment, which proves that in the software-
developing SMEs of branch 62, the computer
programming environment (which consists of
suitable software, IT technologies and computer
equipment) does not result from their operational
activities but is acquired from external parties. The
relational capital component consists of a list of
regular customers and the SMEs’ partners, image,
trust, reputation and external relations. This
component was also obtained mostly by the SMEs
representing branch 26. Thus, the result confirms that
these constituent parts are strictly related to the
external social and economic environment of SMEs
belonging to both compared branches.
In addition, the SMEs belonging to branch 26
acquired mostly project and innovation capital in the
external stream, while in the internal stream, these
SMEs acquired mostly technological and
organisational capital. Conversely, human capital
was acquired in both streams at a similar level in both
compared branches. This result answers the fourth
research question.
The calculation results above demonstrate that
OIC acquisition at the component level clearly varied
in both streams and compared branches. This
conclusion is confirmed by the graphical
representation of the internal and external streams of
OIC acquisition at the component level. Figure 2
shows the spectrum of OIC acquisition by the SMEs
belonging to branch 62. Figure 2 indicates that the
intersection of acquisition is insignificant, and the
larger areas are clearly different. These results lead to
the conclusion that the SMEs belonging to branch 62
acquired components mostly in the internal and
external OIC streams, and these acquisitions were
complementary. Figure 3 presents the spectrum of
OIC acquisition by the SMEs belonging to branch 26.
Conversely, Figure 3 shows that the intersection of
acquisition is significant, and the smaller areas are
clearly different. These results lead to the conclusion
that SMEs belonging to branch 26 components
acquired in the internal and external OIC streams, but
they are less complementary than in branch 62.
Figure 2: Diversified acquisition of OIC components in
branch 62.
Furthermore, a close examination of the locations of
the internal and external streams in Figures 2 and 3
reveal that they are located in opposing areas. The
external boundary of the internal stream of OIC
acquisition in branch 62 is designated by the
following components: human capital, innovation
capital, project capital and information capital (Figure
2). Three of these (innovation capital, project capital
and relational capital) designate the boundary of the
external stream of OIC acquisition in branch 26
(Figure 3).
Figure 3: Diversified acquisition of OIC components in
branch 26.
This situation indicates that the component
acquisition of OIC reveals significant differentiation
between the compared branches.
ICSBT 2022 - 19th International Conference on Smart Business Technologies
76
Table 6 presents the results of the dynamic rate of
change calculation in the level of the acquisition of
individual OIC components separately in the internal
and external streams for branches 62 and 26 over the
entire research period. The calculations were
performed according to Equation 5.
Table 6: Calculated dynamic rates of change in acquisition
of the OIC components for branches 62 and 26.
B
ranch 62
OIC components
Internal
strea
m
External
strea
m
Human Capital 8.48% 10.13%
Organisational Capital 1.74% 3.11%
Relational Capital 4.13% 1.58%
Technolo
g
ical Ca
p
ital - 2.65%
Information Ca
p
ital 4.34% 8.03%
Pro
j
ect Ca
p
ital 3.82% 7.01%
Innovation Capital 4.54% 5.63%
B
ranch 2
6
OIC components
Internal
strea
m
External
strea
m
Human Capital 6.88% 6.93%
Organisational Capital 6.01% 0.30%
Relational Ca
p
ital 5.74% -1.32%
Technolo
g
ical Ca
p
ital 8.81% -7.61%
Information Ca
p
ital 1.82% 7.78%
Project Capital -1.70% 5.67%
Innovation Capital -2.65% 4.73%
The obtained calculation results indicated that for
the SMEs belonging to branch 62, human capital
grew in importance more than other components in
both streams of this branch (Table 6). Furthermore,
the dynamics level of acquisition of the OIC
components increased only in branch 62. Conversely,
the results obtained from the SMEs belonging to
branch 26 indicate a more diversified situation. The
level of acquisition of information capital,
organisational capital and human capital components
increased in both the internal and external streams.
The highest increase in the OIC acquisition level was
for human capital, which was an average of 6.88%
and 6.93%, respectively, year on year over the entire
research period.
Compared with other components, these results
allowed the conclusion that human capital is also one
of the most important components in branch 26. A
very interesting situation indicates the technological
component, where the level of OIC acquisition
increased in the internal stream year on year by 8.81%
and decreased in the external stream year on year by
7.78%. Such results could lead to the conclusion that
a significant part of the business activities of the
SMEs belonging to branch 26 contains not only
hardware production but also services and technical
support for hardware products introduced to the
market.
4 DISCUSSION AND
CONCLUSIONS
The literature review indicated that research has
focused on the use of IC in business. Those studies
concentrated on the effects of IC use on selected
business indices and enterprise performance
indicators and considered single-stream IC models,
which were understood as an internal enterprise
resource (Dimitrios et al., 2011; McConnell, 2019).
The acquisition of OIC was not often covered by past
research. Thus, IC acquisition seems to be a relatively
new field of study.
Although, the software-developing and hardware
producing businesses significantly evolved in the last
12 years, the management practice suggest that IC is
acquired both internally and externally (Ahmed et al.,
2022). What’s more, SMEs belonged to both
branches could be considered as knowledge-intensive
enterprises. There is almost impossible in nowadays
to create a new ICT equipment produced by SMEs in
both compared branches without acquisition of new
knowledge and technologies in their business
activities (Schiavone et al., 2022). The spread of a
new knowledge and technologies seems to be
unavoidable and play incremental role in business
activities. These issues triggered research into a new
field of IC acquisition that has not been explored
previously. This paper discussed research results
obtained in that field by comparing OIC acquisition
in two separate branches. The research covered
innovative SMEs conducting business activities in
Poland that belonged to two branches: branch 62,
represented by software-developing SMEs, and
branch 26, represented by hardware producing SMEs.
The research results discussed above clearly
demonstrate that the surveyed SMEs in both
compared branches acquire IC continually,
systematically and simultaneously from both external
and internal sources; this answers the first and second
research questions. Consequently, the analysis and
evaluation of IC acquisition, including comparisons
between any branches and groups of selected
enterprises, should be performed using OIC
acquisition concepts which, after being empirically
proven, can be considered an OIC model.
The calculated values of the indices of overall
OIC acquisition indicate that the internal stream is
Diversity of Open Intellectual Capital Acquisition by SMEs of Different Branches
77
more important for the software-developing SMEs
belonging to branch 62. In contrast, the external
stream is more important for the hardware producing
SMEs belonging to branch 26. This is the answer to
the third research question.
Considering the dynamic rate of change in OIC
acquisition at the component level, the results
obtained reveal the significant differentiation
between the compared branches. The OIC acquisition
of each component increased for the SMEs belonging
to branch 62 over the entire research period, while for
those belonging to branch 26, only the level of
acquisition of information capital, organisational
capital and human capital components increased in
both internal and external streams. The results reveal
significant differentiation in the level of OIC
acquisition in terms of project capital, innovation
capital, relational capital and technological capital.
The differences in acquiring OIC components are
related to the different business activities of the SMEs
belonging to the compared branches. Considering the
dynamic rate of change, human capital, project capital
and information capital were most important for the
SMEs belonging to branch 62, while human capital,
information capital and organisation capital were
most important for those belonging to branch 26. This
answers the fourth research question.
Considering the share in the level of acquired OIC
components, for the SMEs belonging to branch 62,
innovation capital and project capital were the most
acquired components in the internal stream.
Relational capital and organisational capital (except
technological capital) were most important in the
external stream. For those SMEs belonging to branch
26, technological capital and organisational capital
were most important in the internal stream. In
contrast, project capital and innovation capital were
most important in the external stream. These results
answer the fourth research question.
In addition, the results of the comparative analysis
of the graphic representation of OIC component
acquisition for branch 62 indicated that the
intersection of acquisition is insignificant, and larger
areas are clearly different since they are located
outside the intersection. This led to the conclusion
that the acquisition of OIC components by the SMEs
belonging to branch 62 is mostly complementary.
However, there is a different situation in branch 26,
where the intersection of acquisition is significant,
and smaller areas are clearly different because they
are located outside the intersection. This led to the
conclusion that the acquisition of OIC components by
the SMEs belonging to branch 26 is significantly less
complementary than for the SMEs of branch 62. A
close comparison of the areas of the internal and
external streams in Figs. 2 and 3 reveals that they are
located in opposing areas. The external boundary of
the internal stream of OIC acquisition in branch 62 is
designated by human capital, innovation capital,
project capital and information capital (Figure 2),
while innovation capital, project capital and relational
capital designate the boundary of the external stream
of OIC acquisition in branch 26 (Figure 3).
Accordingly, the component acquisition of OIC
reveals significant differentiation between the
compared branches.
5 FUTURE RESEARCH
This research was conducted in a new field and
undoubtedly extends the knowledge of OIC
acquisition by enterprises. The presented results
provide the opportunity and indicate the need to
continue research into more detailed topics in the
field of OIC acquisition in other branches. The
continued development of research will allow
comparative analyses of different groups of
enterprises and branches in terms of OIC acquisition.
This can contribute to the development of knowledge
on diversified OIC acquisition by enterprises
characterised by various sizes and who conduct
business in various industries. Continued research
will also improve the methods of comparative
analysis and evaluation of OIC acquisition with the
aim of building an OIC acquisition model.
REFERENCES
Abeysekera, I., 2021. Intellectual Capital and Knowledge
Management Research towards Value Creation. From
the Past to the Future. Journal of Risk Financial
Management. 14(6), DOI: https://doi.org/10.3390/jr
fm14060238.
Ahmed, A., Bhatti, S. H., Gölgeci, I., Arslan, A., 2022.
Digital platform capability and organizational agility of
emerging market manufacturing SMEs: The mediating
role of intellectual capital and the moderating role of
environmental dynamism. Technological Forecasting
and Social Change. 177, 121513.
Alimov, A., Officer, M. 2017. Intellectual property rights
and cross-border mergers and acquisitions. Journal of
Corporate Finance, 45, 360-377.
Barney, J.B., Hesterly, W.S., 2019. Strategic Management
and Competitive Advantage. Pearson. Harlow. UK.
Dimitrios, M., Dimitrios, Ch., Charalampos, T., Theriou,
G., 2011. The impact of intellectual capital on firms'
market value and financial performance. Journal of
ICSBT 2022 - 19th International Conference on Smart Business Technologies
78
Intellectual Capital. 12, 132-151, DOI:
10.1108/14691931111097944.
Edvinsson, L., Malone, M.S., 1997. Intellectual Capital:
Realizing Your Company’s True Value by Finding Its
Hidden Brainpower. Harper Business. New York.
European Communities, 2008. Statistical Classification of
Economic Activities in the European Community.
Office for Official Publications of the European
Communities. Luxembourg.
Hatcher, L., 2013. Advanced Statistics in Research.
Shadow Finch Media. Saginaw.
Hejase, H.J., Hejase, A., Assi, H.T., Chalak, H.C., 2016.
Intellectual Capital: An Exploratory Study from
Lebanon. Open Journal of Business and Management.
4, 571-605.
Lee, C., Wong, K., 2019. Advances in Intellectual Capital
Performance Measurement: A State-of-the-art Review.
The Bottom Line. 32(2), 118-134, DOI:
https://doi.org/10.1108/BL-12-2018-0051.
Mačerinskienė, I., Survilaitė, S., 2019. Company’s
Intellectual Capital Impact on Market Value of Baltic
Cuntries Listed Enterprises. Oeconomia Copernicana.
10(2), 309-339, DOI: https://doi.org/10.24136/
oc.2019.016.
Matricano, D., Candelo, E., Sorrentino, M., Cappiello, G.,
2020. Investigating the Link Between Intellectual
Capital and Open Innovation Processes: a Longitudinal
Case Study. Journal of Intellectual Capital. 3
rd
December, DOI:10.1108/jic-02-2020-0020.
McConnell, S., 2019. More Effective Agile: A Roadmap for
Software Leaders. Construx Press. Bellevue.
Nazari, J., 2015. Intellectual Capital Measurement and
Reporting Models. [In:] Knowledge Management for
Competitive Advantage During Economic Crisis,
Ordoñez de Pablos, P., Turró, L.J., Tennyson, R.D.,
Zhao, J. (eds.). IGI Global. Hershey, 117-139, DOI:
10.4018/978-1-4666-6457-9.ch008.
Pike, S., Roos, G., 2000. Intellectual Capital Measurement
and Holistic Value Approach. Works Institute Journal.
42 (October/November), 1-15.
Pulic, A., 2004, Intellectual Capital-Does it Create or
Destroy Value. Measuring Business Excellence. 8(1),
62-68, DOI: https://doi.org/10.1108/136830404105
24757.
Roos, G., Pike, S., 2018. The Strategic Management of
Intellectual Capital: Essentials for Leaders and
Managers. Routledge. New York.
Santis, S., Binachi, M., Incollingo, A., Bisogno, M., 2019.
Disclosure of Intellectual Capital Components in
Integrated Reporting: An Empirical Analysis.
Sustainability. 11(62), 1-15, DOI: 10.3390/su11010
062.
Schiavone, F., Leone, D., Caporuscio, A., Kumar, A., 2022.
Revealing the role of intellectual capital in digitalized
health networks. A meso‑level analysis for building and
monitoring a KPI dashboard. Technological
Forecasting and Social Change. 175, 121325.
Sharpe, N., Veaux, R., Velleman, P., 2014. Business
statistics. Pearson Publisher. Boston.
Stewart, T.A., 1998. Intellectual Capital: The New Wealth
of Organizations. Nicholas Brealey Publishing.
London.
Sveiby, K., 2001. Methods of Measuring Intangible Assets.
Sveiby Knowledge Associates Publisher, available at:
https://www.sveiby.com/files/pdf/1537275071_metho
ds-intangibleassets.pdf (accessed: Dec, 08, 2021).
Wiederhold, G., 2014. The Value of Intellectual Capital.
Springer. New York, DOI: https://doi.org/10.1007/978-
1-4614-6611-6_3.
Yovita, M., Kardina, G., Amrania, P., 2018. The Influence
of Intellectual Capital to Market Value with Return on
Assets as Intervening Variable. Journal of Accounting
Auditing and Business. 1(2), 9-16, DOI:
http://dx.doi.org/10.24198/jaab.v1i2.18267.
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