TY  - JOUR
AU  - Guan, Feiyang
AU  - Wang, Tienan
AU  - Sun, Linbing
TI  - The synergistic effect of the industrial international competitiveness and coopetition network position on market share: evidence from global automobile industry
JF  - JOURNAL OF BUSINESS & INDUSTRIAL MARKETING
J2  - J BUS IND MARKET
VL  - 38
PY  - 2023
IS  - 11
SP  - 2446
EP  - 2459
PG  - 14
SN  - 0885-8624
DO  - 10.1108/JBIM-08-2022-0388
UR  - https://m2.mtmt.hu/api/publication/33923463
ID  - 33923463
AB  - PurposeThis paper aims to examine how the firm's global coopetition network position impacts market share and to explore the multiple moderating effects of trade network strength and structures on the relationship between firm global coopetition network position and market share. Design/methodology/approachThis paper selects global automobile manufacturing firms as samples whose classification is "Automobile" in the Factiva database from 2014 to 2018 and develops the measurement for global coopetition network and trade network by using Ucinet6. Finally, Stata was used for data analysis. FindingsThis paper finds that structural holes and centrality are beneficial to improve global market share. And the trade network strength and structures have positive multiple moderating effects on the relationship between the firm global coopetition network position and market share. Originality/valueThis paper explores industrial international competitiveness according to the intricate trade relations among countries and the impact of industrial international competitiveness on the relationship between global coopetition network position of brand firms and market share. The results of this paper expand the current literature on the relationship between characteristics of coopetition network and trade network.
LA  - English
DB  - MTMT
ER  - 

TY  - CHAP
AU  - Berán, Eszter
AU  - Unoka, Zsolt
ED  - Gervain, Judit
ED  - Csibra, Gergely
ED  - Kovács, Kristóf
TI  - Ego-centered Social Network Characteristics of Patients Suffering from Personality Disorders
T2  - A Life in Cognition
PB  - Springer Netherlands
CY  - Cham
SN  - 9783030661748
T3  - Language, Cognition, and Mind ; 11.
PY  - 2022
SP  - 279
EP  - 290
PG  - 12
DO  - 10.1007/978-3-030-66175-5_20
UR  - https://m2.mtmt.hu/api/publication/32546209
ID  - 32546209
LA  - English
DB  - MTMT
ER  - 

TY  - JOUR
AU  - Gao, Peitao
AU  - Wang, Yinhe
AU  - Liu, Lizhi
AU  - Zhang, LiLi
AU  - Tang, Xiao
TI  - Asymptotical state synchronization for the controlled directed complex dynamic network via links dynamics
JF  - NEUROCOMPUTING
J2  - NEUROCOMPUTING
VL  - 448
PY  - 2021
SP  - 60
EP  - 66
PG  - 7
SN  - 0925-2312
DO  - 10.1016/j.neucom.2021.03.095
UR  - https://m2.mtmt.hu/api/publication/32316142
ID  - 32316142
AB  - From the perspective of large-scale system, a directed complex dynamic network (DCDN) may be considered as a coupling system of the node subsystem (NS) and the link subsystem (LS). In this paper, by using the outgoing link vector and incoming link vector for DCDN, the dynamics of LS is described by employing the vector differential equation instead of the matrix differential equation. Since the outgoing and incoming link vectors have the stronger geometric intuition, the results in this paper show that this kind model of links can not only reflect the direction of links but also find the dynamic tracking goal of links more easily when the state synchronization of NS emerges. Furthermore, by employing the simple mathematical conditions, the nonlinear controller of NS and the coupling term of LS are proposed to ensure achieving the asymptotical state synchronization for DCDN. Finally, the numerical simulations are given to demonstrate the validity of the results in this paper. (c) 2021 Elsevier B.V. All rights reserved.
LA  - English
DB  - MTMT
ER  -