Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise
The paper objective is to determine the extent of the use of information technology logistics management systems in enterprises across individual voivodships. Apart from the theoretical basis of information technology systems in use, the results of research carried out with statistical analysis meth...
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| Cite this: | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise / A. Mesjasz-Lech // Электронное моделирование. — 2009. — Т. 31, № 6. — С. 41-54. — Бібліогр.: 9 назв. — англ. |
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| citation_txt | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise / A. Mesjasz-Lech // Электронное моделирование. — 2009. — Т. 31, № 6. — С. 41-54. — Бібліогр.: 9 назв. — англ. |
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| description | The paper objective is to determine the extent of the use of information technology logistics management systems in enterprises across individual voivodships. Apart from the theoretical basis of information technology systems in use, the results of research carried out with statistical analysis methods have been presented. Also, branches and voivodships with the largest extent of the use of information technology systems for logistics processes have been determined.
Исследована степень использования информационной технологии в системах управления логистикой на предприятиях отдельных воеводств. В отличие от стандартных подходов в информационных технологиях представлены результаты исследований, проводимых методами статистического анализа. Определены области и воеводства, где в наибольшей степени используются системы информационных технологий для логистических процессов.
Досліджено ступінь використання інформаційної технології в системах управління логістикою на підприємствах окремих воєводств. На відміну від стандартних підходів у інформаційних технологіях наведено результати досліджень, виконаних методами статистичного аналізу. Визначено області та воєводства, де найбільше задіяно системи інформаційних технологій у процесах логістики.
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A. Mesjasz-Lech, PhD
Czestochowa University of Technology
(Al. Armii Krajowej, 19 B, 42-200 Czestochowa, Poland)
Statistical Analysis of the Extent
of the Use of Information Technology Systems
for Logistics Management in an Enterprise
The paper objective is to determine the extent of the use of information technology logistics man-
agement systems in enterprises across individual voivodships. Apart from the theoretical basis of
information technology systems in use, the results of research carried out with statistical analysis
methods have been presented. Also, branches and voivodships with the largest extent of the use of
information technology systems for logistics processes have been determined.
Èññëåäîâàíà ñòåïåíü èñïîëüçîâàíèÿ èíôîðìàöèîííîé òåõíîëîãèè â ñèñòåìàõ óïðàâëåíèÿ
ëîãèñòèêîé íà ïðåäïðèÿòèÿõ îòäåëüíûõ âîåâîäñòâ.  îòëè÷èå îò ñòàíäàðòíûõ ïîäõîäîâ â
èíôîðìàöèîííûõ òåõíîëîãèÿõ ïðåäñòàâëåíû ðåçóëüòàòû èññëåäîâàíèé, ïðîâîäèìûõ ìåòî-
äàìè ñòàòèñòè÷åñêîãî àíàëèçà. Îïðåäåëåíû îáëàñòè è âîåâîäñòâà, ãäå â íàèáîëüøåé ñòåïåíè
èñïîëüçóþòñÿ ñèñòåìû èíôîðìàöèîííûõ òåõíîëîãèé äëÿ ëîãèñòè÷åñêèõ ïðîöåññîâ.
K e y w o r d s: information technology, logistics management, supply chain management, enter-
prise resource planning, customer relationship management, supplier relationship management.
Globalization of markets, increase of the number of geographically scattered en-
tities cooperating with one another, and thereby their bigger complexity, pose
the need to develop appropriate technological solutions for information-decision
processes. As the cooperating and competing entities saw the need for collabora-
tion, new organization configurations started to emerge. They are different from
traditional ones with seller-buyer relationships, which abounded in antagonisms
and took advantage of the weaker. The supply chains exemplify such a configu-
ration: «The supply chain structure was a two-echelon model: manufacturer
(seller), and retailer (buyer)» [1]. Proper functioning of the supply chain is de-
pendent on the cooperation between its participants. Accordingly, there comes
the need for integration of the supply chain processes. Efficiency of the enter-
prises connected with the realization of the processes will mainly depend on
communication accessibility and on the size and structure of human and capital
resources [2]. One of the elements of communication infrastructure is informa-
tion technology, which provides quick and smooth information flow in the sup-
ply chain. Ensuring efficient information flow is vital for taking decisions,
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 41
making the competitiveness strategies, and developing state economies. These
are the areas where information technology is becoming a necessity [3]. The re-
search shows that [4]:
1. The more sophisticated is the information technology used for processing
orders, invoicing and settlement, exchanging information concerning delivery,
managing the warehouses and stock, the better is the operational coordination
between the suppliers.
2. The more sophisticated is the information technology used for the analy-
ses of the trends of sales and customers needs, integration of planning and pro-
duction functions, creating new market opportunities, the better is the strategic
coordination between the suppliers.
The use of advanced information technologies in the supply chains is neces-
sary to realize the processes which are becoming more and more complex as they
involve many cooperating entities.
Evolution of information technology systems facilitating the realization
of logistics processes. High complexity of organisations and the amount of in-
formation handled within and conveyed outside, demand a tighter cooperation
between entities. It is information technology that enables this cooperation by
improving effectiveness of the supply chains thanks to the centralization of in-
formation, providing shorter lead time and smaller batch size in the supply
chains and reduction of the bullwhip effect, which causes poor supply chain per-
formance. [1]. Considering the character of the processes in question, the sys-
tems facilitating them can be called information technology systems for logistics
management. Since the early 1950’s, the computer systems supporting logistics
processes have undergone a characteristic evolution [5]. Initially, a Computer
System was only used for stock management, and hence it was called inventory
control (IC).
Over time, logistics processes became essential in entities management.
Consequently, material requirements planning (MRP) systems appeared, sup-
porting the processes of: demand-supply balancing, production and purchase
planning, as well as planning and controlling stock. As MRP systems had ac-
quired new functions, a new class of systems was introduced: MRP II (manufac-
turing resource planning), which supported: sale and production planning, de-
mand management, material planning, production capacity and orders control,
distribution resources planning. As a result of the evolution of MRP II systems,
another class of systems appeared: enterprise resource planning (ERP), also
know as money resource planning (MRP III). They enable full integration of all
spheres of a company’s activity, because they support the planning of com-
pany’s resources, which are necessary for running all its business functions. The
implementation of ERP systems brings the following benefits in the scale of a
company [5]:
A. Mesjasz-Lech
42 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
supplying decision makers with information concerning the proper value-
in-use, sharing information;
integration of all geographically scattered organizational entities of an
enterprise;
integration of all spheres of enterprise’s activity;
processes orientation;
ensuring real-time operation;
increase of an enterprise’s effectiveness and efficiency;
matching implemented systems with an enterprise’s needs in the scope of
management;
increase in the workers’ assimilability and acceptability of information
technology solutions.
Enabling entities cooperating with an enterprise to share the same informa-
tion technology systems lead to the creation of Enterprise Resource and Rela-
tionship Processing (ERP II) systems. They allow for optimization of opera-
tional and financial processes between an enterprise and its partners as well as
within an enterprise.
By reason of the fact that the conditions of enterprise functioning change,
which brings about changes of the requirements concerning business processes,
information technology systems are integrated with systems tackling the cooper-
ation of an enterprise with its marketing environment. The most important
include:
supply chain management (SCM) system;
customer relationship management (CRM) systems;
supplier relationship management (SRM) systems.
Above mentioned systems pave the way for tightening the cooperation with
other entities from the marketing environment of an enterprise thanks to the ex-
change of information and joint planning of activities. CRM systems support
sale, conducting marketing campaigns, and after-sale service. The customer sup-
port after sale is realized through the so called telephone service centre (call cen-
tre) which shortens the time of response to the customers’ questions. That is why
CRM systems endeavour to encode the intellectual capital. [6]. SRM systems al-
low for choosing right suppliers, working out supply strategy, and shortening
supply cycles. SCM is a result of a steady convergence of the traditionally dis-
tinct areas of operations management, sourcing, and logistics into a single area.
Information flows, physical flows and relationships link these areas together,
and link these areas with upstream and downstream partners [7]. SCM „inte-
grates suppliers , manufacturers, distributors, and customers through the use of
information technology to meet customer expectations efficiently and effec-
tively” [8]. Therefore, SCM system fulfils primarily the integration function un-
Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 43
derstood as the integration of processes realized within an enterprise, the inte-
gration of geographically scattered organisational entities of an enterprise, and
the integration of an enterprise with its business partners. SCM class systems,
therefore, allow for modelling of the entire net of supplies as far as the processes
of production and distribution are concerned.
Information technology facilitates the integration and coordination of busi-
ness processes, especially with respect to control and connectivity [9]. Maintain-
ing the continuity of information flow in all spheres of the enterprise activity or
in the activity of a group of cooperating enterprises is the condition of efficient
operation.
Analysis of information technology support for logistics processes in
Polish enterprises. In Polish enterprises, most commonly used systems are:
ERP, CRM, and SCM. They are usually used by medium and large enterprises
whose number in Poland is gradually increasing. Table 1 presents the dynamics
of the number of enterprises with respect to their size for the years 2006—2008.
In the year 2008, the number of enterprises (without section J) increased by
1.47%, and by 0.76% in comparison with the year 2006. The year 2007 saw a
slight decrease in the number of enterprises in comparison with the year 2006,
but it was due mainly to the decrease of the number of small enterprises. The
number of small enterprises increased a little in the year 2008 in comparison
with the previous year, in which, however, it decreased by 1.44% in comparison
with the year 2006. Individual years saw a considerable increase in the number of
medium and big enterprises. Small enterprises made a vast proportion of enterprises
in the analyzed years: 67.4% — 2006, 78.7% — 2007, 77.8% — 2008.
The main characteristic of a developing information society is the fact that
more and more companies are equipped with computers. Computerization is the
foundation for the development of the economy based on knowledge and infor-
mation exchange. However, what is most important for enterprises is the transla-
tion of the potential of information technologies into specific spheres of activity,
in order to increase their effectiveness. Tables 2 — 5 present data concerning the
A. Mesjasz-Lech
44 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
Period
Total, % (without
section J)
Small enterprises, %
(10 — 49 employees)
Medium enterprises, %
(50 — 249 employees)
Big enterprises, % (250
and more employees)
2007/2006 – 0.70 –1.81 2.98 6.92
2008/2007 1.47 0.38 4.80 8.96
2008/2006 0.76 –1.44 7.92 16.50
Source: own elaboration.
Table 1. The dynamics of the number of enterprises with respect to their size for the years
2006—2008 (by quantity in January of analysed years) — absolute change
extent of the use of information technology in logistics management in enter-
prises for the years 2006—2008.
In 2006, big enterprises were best equipped with information technologies
supporting logistics processes, small enterprises were much worse in this re-
spect. The biggest proportion of enterprises possessing information technology
system for tackling orders, automatically linked with the internal system for
Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 45
Specification
Enterprises, automatically linked with
the internal
system for
managing
deliveries
and stores
the systems
for in-
voicing and
payment
realization
the systems
for managing
production,
logistics and
customer service
the systems
external
suppliers
the systems
of external
customers
Size of enterprises:
small enterprises
(10—49 employees)
10.3 13.8 5.5 3.2 1.7
medium enterprises
(50—249 employees)
23.1 28.1 17.6 4.9 4.3
big enterprises (250 and
more employees)
41.4 45.6 36.4 9.9 12.2
Section:
D — industrial processing 13.1 17.0 10.7 1.7 2.6
F — construction 2.9 5.3 1.9 0.6 0.1
G — trade and repairs 21.5 24.4 9.9 7.6 3.6
H: groups 55.1 — 55.2 —
hotels and other accom-
modation objects
8.7 19.0 4.2 0.4 0.4
I — transport, warehousing
and communication
8.0 15.9 8.9 5.5 3.1
K: divisions: 70, 71, 74 —
real estate and business
activities
5.5 10.1 3.9 2.1 1.2
K: division 72 — informa-
tion technology
18.1 24.0 15.4 4.4 4.7
K: division 73 — science 6.7 10.3 4.7 1.0 0.7
O: groups 92.1—92.2 —
movie, video, radio,
television
9.1 18.3 5.1 4.1 8.6
Table 2. Frequency coefficient of enterprises possessing information technology system
for tackling orders in January 2006 by size of enterprises and sections (%)
A. Mesjasz-Lech
46 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
Specification
E
R
P
—
c
o
m
p
u
te
r
s
y
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te
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f
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p
la
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in
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rp
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's
r
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s
CRM —
software for
customers
Systems automatically linked with
T
o
ta
l
th
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in
te
r
n
a
l
s
y
s
te
m
f
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b
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(
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a
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(
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A B
Size of enterprise
employees:
small (10 — 49) 8.7 18.4 10.2 33.8 13.4 21.4 7.5 4.0 2.1
medium (50 — 249 ) 25.7 30.0 17.3 49.8 27.6 35.0 21.3 6.0 5.5
big (250 and more) 51.3 37.6 23.9 63.0 45.8 49.5 41.5 11.1 13.5
Section:
D — industrial processing 13.4 18.6 10.5 38.0 15.7 25.0 13.3 2.4 3.1
F — construction 4.6 10.0 4.2 26.1 6.3 13.6 4.1 2.2 1.5
G — trade and repairs 17.2 25.1 16.9 44.7 26.6 31.5 12.3 8.8 4.0
H: groups 55.1—
55.2 — hotels and other
accommodation objects
10.1 27.0 18.3 48.9 14.6 31.5 7.4 1.6 1.6
I — transport, ware-
housing and communi-
cation
13.9 25.4 10.9 37.0 12.3 25.4 13.8 5.4 5.0
K: divisions
70, 71, 74 — real estate
and business activities
9.4 24.3 8.1 24.7 7.1 13.9 5.6 2.4 1.6
72—information
technology
24.5 57.0 33.6 56.7 28.6 35.0 26.7 11.4 5.7
73 — science 14.3 17.3 6.8 32.0 9.5 17.0 6.1 3.1 1.4
O: groups 92.1 — 92.2
— movie,video, radio,
television
15.1 28.3 15.7 42.8 5.7 25.8 4.4 3.1 5.7
Source: own elaboration based on the data of Main Statistical Department in Poland
Table 3. Enterprises using ERP, CRM systems and the systems for managing orders in
January 2007 by size of enterprises and sections (%)
managing deliveries and stores, with the systems for invoicing and payment re-
alization, the systems for managing production, logistics and customer service,
external suppliers systems, and the systems of external customers was found
among the following branches: section G — trade and repairs, section K (section
72) — information technology, section D — industrial processing. Mostly these
branches used information technology systems facilitating logistics manage-
ment. Branches with the smallest extent of information technology use are build-
ing and education.
Similar situation was observed in years 2007 (Table 3) and in 2008 (Tables
4 and 5). The marks at the Tables 3 and 4 are following: A — gathering and stor-
ing this information and making it accessible for other sections of an enterprise;
Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 47
Specification
ERP —
computer
system for
planning
enterprise’s
resources
CRM — software for managing
information concerning customers
A B
Size of enterprise employees:
small (10 — 49) 7.6 15.5 10.0
medium (50 — 249) 22.9 29.3 18.1
big (250 and more) 50.9 41.6 27.9
Section:
D — industrial processing 12.8 16.2 9.4
F — construction 5.5 8.3 4.2
G — trade and repairs 15.1 24.9 19.1
H: groups 55.1—55.2 — hotels
and other accommodation objects
7.8 20.4 15.1
I — transport, warehousing
and communication
8.4 21.3 13.2
K: divisions 70, 71, 74 — real
estate and business activities
9.2 20.2 8.7
72 — information technology 22.1 46.0 30.0
73 — science 9.7 21.0 8.0
O: groups 92.1 — 92.2 — movie,
video, radio, television
16.0 39.9 25.8
Source: own elaboration based on the data of GUS
Table 4. Enterprises using ERP and CRM systems in January 2008 by size
of enterprises and sections (%)
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A. Mesjasz-Lech
48 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
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B — analysis of this information for marketing goals (price calculation, promo-
tion management, defining campaigns and distribution canals etc.). These are
big enterprises that extensively use ERP, CRM and systems for handling orders.
In terms of branches it is section G — trade and repairs, K (section 72) — infor-
mation technology, D — industrial processing, and additionally, I — transport,
warehousing and communication. In 2008 there was also a considerable propor-
tion of enterprises from section O (groups 92.1 — 92.2) — movie, video, radio,
television, which used ERP, CRM, and information technology systems for
tackling orders. These trends are the same for enterprises dealing with the elec-
tronic exchange of information concerning the supply chain management.
Comparison of voivodships with respect to the extent of information
technology use. Voivodship is one of the Polish administrative units. Individual
voivodships differ with respect to the extent to which enterprises use information
technology. The extent will translate directly into capacity for the implementation
of information technology logistics management systems, which help to reduce
costs and increase income, and thereby contribute to the development of entire re-
gions. Therefore, it is important to evaluate the extent of information technology
logistics management systems use for individual voivodships. This task can be
performed with the method of multi-dimensional comparative analysis.
The extent of information technology logistics management systems use for
individual voivodships has been described with many variables. The isolated
variables are connected with two periods: January 2007, and January 2008. Un-
fortunately, the data sets for the periods differ, as the values of some variables
are not accessible. Data set determining the extent of information technology lo-
gistics management systems use includes:
1. The number of enterprises using ERP — computer system for planning
enterprise’s resources.
2. The number of enterprises using CRM — software for managing infor-
mation concerning customers, which allows for gathering and storing this infor-
mation and making it accessible for other sections of an enterprise.
3. The number of enterprises using CRM — software for managing infor-
mation concerning customers, which allows for analysis of this information for
marketing goals.
4. The number of enterprises using the system for managing orders automat-
ically linked with the internal system for managing deliveries and stores.
5. The number of enterprises using the system for managing orders automat-
ically linked with the system for invoicing and payment realization.
6. The number of enterprises using the system for managing orders automat-
ically linked with the system for managing production, logistics and customer
service.
Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 49
7. The number of enterprises using the system for managing orders automat-
ically linked with the systems used by external suppliers of an enterprise (from
outside the company’s capital group).
8. The number of enterprises using the system for managing orders automat-
ically linked with the systems used by external customers of an enterprise (from
outside the company’s capital group).
An analysis for January 2008 has been carried out on a set including the fol-
lowing variables:
1. The number of enterprises using ERP — computer system for planning
enterprise’s resources.
2. The number of enterprises using CRM — software for managing infor-
mation concerning customers, which allows for gathering and storing this infor-
mation and making it accessible for other sections of an enterprise.
3. The number of enterprises using CRM — software for managing infor-
mation concerning customers, which allows for analysis of this information for
marketing goals.
4. The number of enterprises keeping electronic information exchange con-
cerning the management of the supply chain with the suppliers, connected with
stock on hand information.
5. The number of enterprises keeping electronic information exchange con-
cerning the management of the supply chain with the suppliers, connected with
production plans.
6. The number of enterprises keeping electronic information exchange con-
cerning the management of the supply chain with the suppliers, connected with
demand prognostics.
7. The number of enterprises keeping electronic information exchange con-
cerning the management of the supply chain with the suppliers management of
the supply chain with the suppliers, connected with the progress of deliveries re-
alization.
8. The number of enterprises keeping electronic information exchange con-
cerning the management of the supply chain with the receivers, connected with
stock on hand information.
9. The number of enterprises keeping electronic information exchange con-
cerning the management of the supply chain with the receivers, connected with
production plans.
10. The number of enterprises keeping electronic information exchange
concerning the management of the supply chain with the receivers, connected
with demand prognostics.
11. The number of enterprises keeping electronic information exchange
concerning the management of the supply chain with the receivers management
A. Mesjasz-Lech
50 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
of the supply chain with the suppliers, connected with the progress of deliveries
realization.
12. The number of enterprises keeping electronic information exchange via
the Internet.
13. The number of enterprises keeping automatic electronic information ex-
change (XLM, EDIFACT, etc.)
All variables are stimulants. Data has been recalculated and converted for a
single inhabitant of a section in order to improve their comparability. Moreover
they were normalized, thanks what values of all variables are nominal and in-
cluded in the interval [0; 1]. The variables were normalized by the formula:
z
x x
O
ij
ij
i
ij
j
�
�min
, i n�1 2, , ..., ; j m�1 2, , ..., ,
where z ij — value of object i of variable X j after normalization; min
i ijx — mini-
mal value of variable X j (for i n�1 2, , ..., ); O j — difference between maximal
and minimal value of variable X j .
Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 51
January 2007 January 2008
Ordering
of voivodships
Measure
of development
Ordering
of voivodships
Measure
of development
Mazowieckie 0.279 Mazowieckie 0.210
Podkarpackie 0.939 Kujawsko-pomorskie 1.008
Kujawsko-pomorskie 0.969 Malopolskie 1.181
Dolnoslaskie 0.998 Lubuskie 1.231
Pomorskie 1.145 Podkarpackie 1.473
Slaskie 1.150 Dolnoslaskie 1.522
Opolskie 1.263 Pomorskie 1.664
Lubuskie 1.345 Swietokrzyskie 1.672
Wielkopolskie 1.430 Slaskie 1.998
Podlaskie 1.611 Wielkopolskie 2.017
Lodzkie 1.617 Lodzkie 2.025
Zachodniopomorskie 1.830 Opolskie 2.444
Malopolskie 1.838 Podlaskie 2.528
Lubelskie 2.315 Zachodniopomorskie 2.606
Swietokrzyskie 2.377 Warminsko-mazurskie 3.224
Warminsko-mazurskie 2.464 Lubelskie 3.280
Source: own elaboration
Table 6. Ordering of voivodships by measure of development
Table 6 presents the ranking of voivodships according to their similarity to
the standard in the analyzed periods.
Irrespective of the set of data and period analyzed, Mazowieckie voivodship
is characterized by the greatest extent of the use of information technology sys-
tems for logistics management. The fact that this voivodship is the most similar
to the standard means that it is a standard for the other voivodships.
Warmiñsko-Mazurskie and Lubelskie voivodships bear the least similarity to the
standard (the former in January 2007, the latter in January 2008), which proves
their backwardness with respect to the use of the information technology sys-
tems for logistics management, in comparison to other voivodships. No matter
which period taken into consideration, these two voivodships rank last. The best
voivodships for both analyzed periods are: Mazowieckie, Kujawsko-Pomorskie,
Podkarpackie and Dolnoslaskie. However, Podkarpackie voivodship fell from
position 2 to 5 in January 2008, Dolnoslaskie voivodship from 4 to 6, and
Kujawsko-Pomorskie voivodship moved up from the position 3 in January 2007
to the position 2 in January 2008. Swiêtokrzystkie voivodship moved up to the
position 8 in January 2008 from the penultimate position in the ranking in Janu-
ary 2007. Similarly, Ma³opolskie voivodship moved up from the position 13 to
the position 2 in the second period.
The analysis results are undoubtedly influenced by the inventory of charac-
teristics which describe the extent of the use of information technology systems
for logistics management. However, the analysis displays certain tendencies
concerning the informatization of logistics activities in voivodships. The voi-
vodships have been grouped on the basis of distance matrix, which allowed for
determining the groups of most similar vovivodships. Figure is a graphic
represantation (the so called dendrogram) of similarities and differences bet-
ween the vovivodships.
Considering the set of all variables for each of the analyzed periods, the first
group of voivodships has been determined. It includes Slaskie and Dolnoslaskie
voivodships for the year 2007, and Swiêtokrzyskie and Dolnoslaskie voi-
vodships for the year 2008. The distances between these voivodships are the
smallest, which indicates the biggest similarity with respect to the analyzed
characteristic between them. Mazowieckie voivodship appears in the group:
Podkarpackie and Lubuskie voivodships for 2007 and Kujawsko-Pomorskie and
Lubuskie for 2008.
Conclusions. Information Technologies contribute to the civilization prog-
ress and development of information society. Their implementation has become
crucial for contemporary enterprises, which in order to meet the market’s re-
quirements, have to cooperate with other entities. One of the elements of this co-
operation is sharing information proper for deciders and using it for developing
A. Mesjasz-Lech
52 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
plans for the management of enterprise’s resources. Implementing information
technology systems for logistics management contributes to efficient manage-
ment through providing effective assistance to the deciders as far as the logistics
processes are concerned.
Poland does not belong among the countries with a high extent of available
information systems use. Companies, however, eagerly use information systems
for logistics management, especially ERP, and CRM and SCM, which cooperate
with ERP.
A proportion of enterprises using information technology systems for process-
ing orders increased from 24.87% in 2006 to 37.68% in 2007. In 2008, 14.09% of
enterprises were using systems for managing supply chains. Similar are proportions
of enterprises using ERP (13.27% — 2007, and 12.06% — 2008) and CRM —
both for gathering, storing customer information and sharing it with other parts of
the enterprise (21.1% — 2007, and 12.0% — 2008), and analyzing customer infor-
mation for marketing goals (11.9% — 2007, and 12.2% — 2008).
The voivodships are differentiated according to their extent of logistics
management systems use. Mazowieckie voivodship is the best in this respect
which can be connected with the centralization of capital and nerve centres oper-
ating in supply chains in this area. However, dynamic environment calls for con-
stant innovation in enterprises, and accordingly in used information systems too.
A statistical analysis of the extent of the use of information technology manage-
ment systems allows not only for the evaluation of the development of individual
Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics
ISSN 0204–3572. Ýëåêòðîí. ìîäåëèðîâàíèå. 2009. Ò. 31. ¹ 6 53
S
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Dendogram for voivodships: a — all variables for January 2007; b — all variables for January 2008
Source: Own elaboration
voivodships, and determination of their similarities, but also for setting a
standard for other entities.
Äîñë³äæåíî ñòóï³íü âèêîðèñòàííÿ ³íôîðìàö³éíî¿ òåõíîëî㳿 â ñèñòåìàõ óïðàâë³ííÿ ëîã³ñ-
òèêîþ íà ï³äïðèºìñòâàõ îêðåìèõ âîºâîäñòâ. Íà â³äì³íó â³ä ñòàíäàðòíèõ ï³äõîä³â ó ³íôîð-
ìàö³éíèõ òåõíîëîã³ÿõ íàâåäåíî ðåçóëüòàòè äîñë³äæåíü, âèêîíàíèõ ìåòîäàìè ñòàòèñòè÷íîãî
àíàë³çó. Âèçíà÷åíî îáëàñò³ òà âîºâîäñòâà, äå íàéá³ëüøå çàä³ÿíî ñèñòåìè ³íôîðìàö³éíèõ
òåõíîëîã³é ó ïðîöåñàõ ëîã³ñòèêè.
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Submitted on 06.07.09
A. Mesjasz-Lech
54 ISSN 0204–3572. Electronic Modeling. 2009. V. 31. ¹ 6
�
|
| id | nasplib_isofts_kiev_ua-123456789-101527 |
| institution | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| issn | 0204-3572 |
| language | English |
| last_indexed | 2025-12-01T11:03:45Z |
| publishDate | 2009 |
| publisher | Інститут проблем моделювання в енергетиці ім. Г.Є. Пухова НАН України |
| record_format | dspace |
| spelling | Mesjasz-Lech, A. 2016-06-04T13:14:21Z 2016-06-04T13:14:21Z 2009 Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise / A. Mesjasz-Lech // Электронное моделирование. — 2009. — Т. 31, № 6. — С. 41-54. — Бібліогр.: 9 назв. — англ. 0204-3572 https://nasplib.isofts.kiev.ua/handle/123456789/101527 The paper objective is to determine the extent of the use of information technology logistics management systems in enterprises across individual voivodships. Apart from the theoretical basis of information technology systems in use, the results of research carried out with statistical analysis methods have been presented. Also, branches and voivodships with the largest extent of the use of information technology systems for logistics processes have been determined. Исследована степень использования информационной технологии в системах управления логистикой на предприятиях отдельных воеводств. В отличие от стандартных подходов в информационных технологиях представлены результаты исследований, проводимых методами статистического анализа. Определены области и воеводства, где в наибольшей степени используются системы информационных технологий для логистических процессов. Досліджено ступінь використання інформаційної технології в системах управління логістикою на підприємствах окремих воєводств. На відміну від стандартних підходів у інформаційних технологіях наведено результати досліджень, виконаних методами статистичного аналізу. Визначено області та воєводства, де найбільше задіяно системи інформаційних технологій у процесах логістики. en Інститут проблем моделювання в енергетиці ім. Г.Є. Пухова НАН України Электронное моделирование Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise Статистический анализ степени использования информационной технологии в логистическом управлении на предприятии Article published earlier |
| spellingShingle | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise Mesjasz-Lech, A. |
| title | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise |
| title_alt | Статистический анализ степени использования информационной технологии в логистическом управлении на предприятии |
| title_full | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise |
| title_fullStr | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise |
| title_full_unstemmed | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise |
| title_short | Statistical Analysis of the Extent of the Use of Information Technology Systems for Logistics Management in an Enterprise |
| title_sort | statistical analysis of the extent of the use of information technology systems for logistics management in an enterprise |
| url | https://nasplib.isofts.kiev.ua/handle/123456789/101527 |
| work_keys_str_mv | AT mesjaszlecha statisticalanalysisoftheextentoftheuseofinformationtechnologysystemsforlogisticsmanagementinanenterprise AT mesjaszlecha statističeskiianalizstepeniispolʹzovaniâinformacionnoitehnologiivlogističeskomupravleniinapredpriâtii |