Modelling enterprise co-opetition ; Įmonių konkurencinio bendradarbiavimo modeliavimas
200 pages

Modelling enterprise co-opetition ; Įmonių konkurencinio bendradarbiavimo modeliavimas

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VILNIUS GEDIMINAS TECHNICAL UNIVERSITY Harald David STEIN MODELLING ENTERPRISE CO-OPETITION DOCTORAL DISSERTATION SOCIAL SCIENCES, ECONOMICS (04S) Vilnius 2011 Doctoral dissertation was prepared at Vilnius Gediminas Technical University in 2007–2011. The dissertation is defended as an external work. Scientific Consultant Prof Dr Habil Romualdas GINEVIČIUS (Vilnius Gediminas Technical University, Social Sciences, Economics – 04S). The Dissertation Defence Council of Scientific Field of Economics of Vilnius Gediminas Technical University: Chairman Prof Dr Habil Aleksandras Vytautas RUTKAUSKAS (Vilnius Gediminas Technical University, Social Sciences, Economics – 04S). Members: Prof Dr Remigijs POCS (Ryga Technical University, Social Sciences, Economics – 04S), Prof Dr Valentinas PODVEZKO (Vilnius Gediminas Technical University, Social Sciences, Economics – 04S), Prof Dr Gražina STARTIENĖ (Kaunas University of Technology, Social Sciences, Economics – 04S), Prof Dr Habil Edmundas Kazimieras ZAVADSKAS (Vilnius Gediminas Technical University, Social Sciences, Management and Administration – 03S). The dissertation will be defended at the public meeting of the Dissertation Defence Council of Economics in the Senate Hall of Vilnius Gediminas Technical University at 10 a. m. on 27 May 2011. Address: Saulėtekio al. 11, LT-10223 Vilnius, Lithuania. Tel.: +370 5 274 4956; fax +370 5 270 0112; e-mail: doktor@vgtu.

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Publié le 01 janvier 2011
Nombre de lectures 24
Poids de l'ouvrage 3 Mo

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VILNIUS GEDIMINAS TECHNICAL UNIVERSITY
Harald David STEIN
MODELLING ENTERPRISE
CO-OPETITION
DOCTORAL DISSERTATION
SOCIAL SCIENCES,
ECONOMICS (04S)



Vilnius 2011 Doctoral dissertation was prepared at Vilnius Gediminas Technical University in
2007–2011.
The dissertation is defended as an external work.
Scientific Consultant
Prof Dr Habil Romualdas GINEVIČIUS (Vilnius Gediminas Technical
University, Social Sciences, Economics – 04S).
The Dissertation Defence Council of Scientific Field of Economics of Vilnius
Gediminas Technical University:
Chairman
Prof Dr Habil Aleksandras Vytautas RUTKAUSKAS (Vilnius Gediminas
Technical University, Social Sciences, Economics – 04S).
Members:
Prof Dr Remigijs POCS (Ryga Technical University, Social Sciences,
Economics – 04S),
Prof Dr Valentinas PODVEZKO (Vilnius Gediminas Technical University,
Social Sciences, Economics – 04S),
Prof Dr Gražina STARTIENĖ (Kaunas University of Technology, Social Sciences, Economics – 04S),
Prof Dr Habil Edmundas Kazimieras ZAVADSKAS (Vilnius Gediminas
Technical University, Social Sciences, Management and Administration – 03S).
The dissertation will be defended at the public meeting of the Dissertation Defence Council of Economics in the Senate Hall of Vilnius Gediminas
Technical University at 10 a. m. on 27 May 2011.
Address: Saulėtekio al. 11, LT-10223 Vilnius, Lithuania.
Tel.: +370 5 274 4956; fax +370 5 270 0112;
e-mail: doktor@vgtu.lt
A notification on the intend defending of the dissertation was send on 26 April 2011.
A copy of the doctoral dissertation is available for review at the VGTU
repository http://dspace.vgtu.lt and at the Library of Vilnius Gediminas Technical University (Saulėtekio al. 14, LT-10223 Vilnius, Lithuania).
VGTU leidyklos TECHNIKA 1854-M mokslo literatūros knyga
ISBN 978-9955-28-850-3
© VGTU leidykla TECHNIKA, 2011
© Harald David Stein, 2011
hd.stein@web.de

VILNIAUS GEDIMINO TECHNIKOS UNIVERSITETAS
Harald David Stein
ĮMONIŲ KONKURENCINIO
BENDRADARBIAVIMO
MODELIAVIMAS
MOKSLO DAKTARO DISERTACIJA
SOCIALINIAI MOKSLAI,
EKONOMIKA (04S)


Vilnius 2011
Disertacija rengta 2007–2011 metais Vilniaus Gedimino technikos universitete.
Disertacija ginama eksternu.
Mokslinis konsultantas
prof. habil. dr. Romualdas GINEVIČIUS (Vilniaus Gedimino technikos
universitetas, socialiniai mokslai, ekonomika – 04S).
Vilniaus Gedimino technikos universiteto Ekonomikos mokslo krypties
disertacijos gynimo taryba:
Pirmininkas
prof. habil. dr. Aleksandras Vytautas RUTKAUSKAS (Vilniaus Gedimino
technikos universitetas, socialiniai mokslai, ekonomika – 04S).
Nariai:
prof. dr. Remigijs POČS (Rygos technikos universitetas, socialiniai
mokslai, ekonomika – 04S),
prof. dr. Valentinas PODVEZKO (Vilniaus Gedimino technikos
universitetas, socialiniai mokslai, ekonomika – 04S),
prof. dr. Gražina STARTIENĖ (Kauno technologijos universitetas,
socialiniai mokslai, ekonomika – 04S),
prof. habil. dr. Edmundas Kazimieras ZAVADSKAS (Vilniaus Gedimino
technikos universitetas, socialiniai mokslai, vadyba ir administravimas –
03S).
Disertacija bus ginama viešame Ekonomikos mokslo krypties disertacijos
gynimo tarybos posėdyje 2011 m. gegužės 27 d. 10 val. Vilniaus Gedimino
technikos universiteto senato posėdžių salėje.
Adresas: Saulėtekio al. 11, LT-10223 Vilnius, Lietuva.
Tel.: (8 5) 274 4956; faksas (8 5) 270 0112;
el. paštas doktor@vgtu.lt
Pranešimai apie numatomą ginti disertaciją išsiusti 2011 m. balandžio 26 d.
Disertaciją galima peržiūrėti VGTU talpykloje http://dspace.vgtu.lt ir Vilniaus
Gedimino technikos universiteto bibliotekoje (Saulėtekio al. 14, LT-10223
Vilnius).






Abstract
In the recent years co-opetition has emerged as a new theoretical concept,
emphasizing the concurrency of competition and cooperation in business rela-
tionships. It is considered as an integrative bridge between older contributions
which one-sidedly emphasize either competition or cooperation. However, the
co-opetition theory is barely applicable for problems of relationships between
enterprises because of structural and methodical flaws. Therefore a framework
for the modelling of enterprise co-opetition is introduced. A definition for the
term co-opetition and determinants of co-opetition models are introduced, which
are external institutions, several industrial boundaries and time. An industrial
supply chain is introduced as one of the industrial boundaries in co-opetition
models that considers the impact of potential participants and distinguishes be-
tween individual customers and mass markets. A profit distribution rule is intro-
duced for supply chains with individual customers, which considers the impact
of excluded suppliers and can be used for the prediction of the outcome of auc-
tions. It is shown for both mass markets and individual customers in how far
stable agreements can be achieved, facing the problem of ubiquitous time-
inconsistency of agreements. It is shown in which cases the introduced profit
distribution rule recommends more stable negotiation outcomes than the
Aumann-Drèze-rule and the Myerson-rule for coalition structures. Ideal-typical
cases of industrial supply chains with mass markets and individual customers are
simulated with the software “MATLAB”. Experiments are implemented with
test persons via the internet with the software “z-tree”. These experiments are
intended to verify the theoretical predictions about the negotiation outcomes and
the agreement stability.














v
































vi

Notations
Abbreviations
a – boundary market price that leads to a quantity demand of 0;
A – action set;
A – agent;
A, B, C – agents in coalition;
AD – Aumann-Drčze-rule;
ADMCS – aumann-drčze-rule/ myerson-rule for coalition structures (identical for 3
agents);
B/N – brandenburger/ nalebuff;
BI – backward induction;
c – variable costs;
cart – cartel;
CG – coalition game;
CPNE – coalition-proof nash equilibrium;
d – degree of product heterogeneity;
ERP – enterprise ressource planning;
F – fixed costs;
G – game;
g – network/ subnetwork;
H – information set;
I – individual customer;
I.set – imputation set;
LAN – local area network;
M – mass market;
MATLAB – matrix laboratory;
vii
MNE – multinational enterprise;
My – myerson-rule;
N – total number of persons;
n, I – number of people (function argument);
NG – network game;
NIE – new institutional economics;
NP – nondeterministic polynomial time (assessment of complexity);
NPV – net present value Investment;
NTU – non-transferable utility (games);
OOCS-rule – outside-option modified profit distribution rule for coalition structures;
p – price;
P – principal;
P – polynomial time (assessment of complexity);
P-A – principal-agent (theory);
Pcore – partitional core;
PV – present value;
q – quantity;
R, S – sub-coalitions;
ROI – return on investment;
s – strategy;
S – supplier;
SG – strategic game;
Sh – shapley-rule;
SNE – strong nash equilibrium;
t – time (function argument);
T – last point in time;
TAC – transaction costs;
TCP/IP – transfer control protocol;
TU – transferable utility (games);
u – utility;
x – profit of a particular agent or (sub-) coalition;
z-tree – zurich toolbox for readymade economic experiments;
Π, π – total profit, individual profit;
 – finite partly ordered set;
– characteristic function. v

viii

Contents
INTRODUCTION........................................................................................................ 1
Problem definition .................................................................................................. 1
Topicality of the research ........................................................................................ 1
Aims of the work .................................................................................................... 4
Tasks of the research ............................................................................................... 4
Deployed software .................................................................................................. 5
Methodology of research ......................................................................................... 5
The scientific novelty .............................................................................................. 7
Practical value ........................................................................................................ 7
Approbation ............................................................................................................ 8
1. STATE OF THE ART OF CO-OPETITION AND GAME T

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