INFORMATION SYSTEMS IN MANAGEMENT V - SGGW

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80 y2 – state budget expenditure in total (from the beginning of the year to the end of the period) [million PLN], y3 – budget deficit [million PLN]. Figure 2. Characteristics of polish incomes, expenditures and deficit in years 1992-2009. 300 250 200 150 100 50 0 1992 1993 1994 1995 1996 1997 1998 1999 2000 2001 years incomes expenditures deficit Source:Own preparation. 2002 2003 2004 2005 2006 2007 2008 2009 As a result of identification, a parametric model in the form of a th matrix is obtained, i.e. for the arx model i.a. parameters: na, nb, nc and A(q), B1(q), B2(q), for state budget income in total, namely (fig. 3): A ( q) −1 −2 −3 −4 = 1− 0. 748⋅ q − 0. 2137 ⋅ q + 0. 61⋅ q − 0. 3749⋅ q − −2 −3 B 1( q) = −0. 03261⋅ q − 0. 5528⋅ q − 0. 2843⋅ q + 0. 1346⋅ q B 2( q) 1 −4 −1 −2 −3 −4 = 0. 2141⋅ q − 0. 1193⋅ q + 0. 1972⋅ q + 0. 3469⋅ q ( 3)
Figure 3. The characteristic of state budget for u – input and y1 output (arx441 - 89,92%). Source:Own preparation. And next in state space the following model of the state budget system development was obtained as regards the part concerning the subsystem of how the employed and the unemployed influence state budget income (fig.4): • ⎡ ⎤ ⎢ x1 ⎥ ⎡ • ⎢ ⎢ x ⎥ 2 ⎢ ⎥ = ⎢ • ⎢x ⎢ − 3⎥ ⎢ • ⎥ ⎢ ⎢⎣ x4⎥⎦ y = x . 1 1 0. 748 0. 2137 0. 61 ⎣0. 3749 1 0 0 0 0 1 0 0 0⎤⎡x1 ⎤ ⎡− 0 ⎥⎢ ⎥ ⎢ ⎥⎢ x2⎥ ⎢ − + 1⎥⎢x ⎥ ⎢ 3 − ⎥⎢ ⎥ ⎢ 0⎦⎣x4 ⎦ ⎣ 0. 0326 0. 5528 0. 2843 0. 1346 0. 2141 ⎤ −0. 1193 ⎥ ⎥ ⎡u1 ⎤ , 0. 1972 ⎥ ⎢ ⎥ ⎣u2⎦ ⎥ 0. 3469 ⎦ ( 4−1) ( 4 − 2) 81
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WARSAW UNIVERSITY OF LIFE SCIENCES
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PREFACE Applications of information
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TABLE OF CONTENTS BOLEK M., KARWOWS
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O - Overtime - lack of systematic m
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tion of work, establishing a new br
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12 � finding a balance point for
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2-6-III-09 - Testing and signed Sof
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16 Project launch: 16-III-09, Deadl
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different methods of management. In
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all phases of the enterprise, while
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phase. Additionally, the specificat
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the enterprise level: knowledge is
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INTEGRATED MANAGEMENT SYSTEM FOR UN
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� system should enhance the avail
Page 30 and 31: additional application Ksantypa ded
Page 32 and 33: strengths. The main advantage is th
Page 34 and 35: and Materials Management (MMI), Pay
Page 36 and 37: 36 A SYSTEM FOR COMPUTER AIDDED INT
Page 38 and 39: 38 Figure 2. An IBS tool for farms:
Page 40 and 41: 7. STARTING POINT Every journey sta
Page 42 and 43: 10. AgroXML(2009): www.agroxml.de,
Page 44 and 45: Curry and Moore define information
Page 46 and 47: 46 � applying and implementing e-
Page 48 and 49: izational entities of the financial
Page 50 and 51: 50 PROCESS MONITORING IN IT SYSTEMS
Page 52 and 53: should use scientific methods, whic
Page 54 and 55: Processes map in the first stage of
Page 56 and 57: nisms: tolerance, range, position r
Page 58 and 59: updating in permanent intervals of
Page 60 and 61: developments in the information and
Page 62 and 63: y inputting real world decisions an
Page 64 and 65: REFERENCES 1. Barteczko K., Bocian
Page 66 and 67: � quality (means its completeness
Page 68 and 69: interrelationships could be extorte
Page 70 and 71: 3. THE INFLUENCE OF INFORMATION TEC
Page 72 and 73: outside and inside a company. Other
Page 74 and 75: � creating condition to continuou
Page 76 and 77: cerning the steering theory and sys
Page 78 and 79: are missing, such IT systems as PES
Page 82 and 83: and next we can obtain knowledge ab
Page 84 and 85: 84 and matrix C and D: C = [ 1] and
Page 86 and 87: 86 THE IMPLEMENTATION OF E-LEARNING
Page 88 and 89: - The criterion for advancement of
Page 90 and 91: What is the percentage of jobs prov
Page 92 and 93: 92 Sw = n ∑ x n i= 1 n ∑ i= 1
Page 94: REFERENCES 1. Edvinson L.,Malone M.
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INFORMATION SYSTEMS IN MANAGEMENT V - SGGW

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