2011
DOI: 10.18848/1833-1882/cgp/v06i03/52026
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Risk Control of Coopetition Relationship: An Exploratory Case Study on Social Networks “Guanxi” in a Chinese Logistics Services Cluster

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Cited by 4 publications
(5 citation statements)
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“…Such complex relationships also create the danger of the emergence of certain disadvantages (e.g. Bengtsson & Kock, 2000;Zineldin 2004;Nieto and Santamaria, 2007;Walley, 2007;Chai & Yang, 2011). However, these disadvantages were analysed at a general level only, without taking into account the nature and scope of the cooperation.…”
Section: Introductionmentioning
confidence: 99%
“…Such complex relationships also create the danger of the emergence of certain disadvantages (e.g. Bengtsson & Kock, 2000;Zineldin 2004;Nieto and Santamaria, 2007;Walley, 2007;Chai & Yang, 2011). However, these disadvantages were analysed at a general level only, without taking into account the nature and scope of the cooperation.…”
Section: Introductionmentioning
confidence: 99%
“…Finally, investigating the moderating role of institutional support, this study reveals and enriches institutional contextual factors for effective inter-firm coopetition. Existing studies have investigated various contextual factors in which coopetition affects firm performance, including external environmental factors, such as environmental turbulence (Crick, 2019) and environmental competitiveness and dysfunctional competition (Xu et al , 2021); firm-level factors, such as trust (Yu, 2019) and competitive aggressiveness (Crick, 2020); and institutional/governmental factors (Monticelli et al , 2021; Breznitz, 2009), especially government intervention (Chai and Yang, 2011). As industrial clusters are provided with public resources by governments, cluster firm operations are influenced by the key institutional factor of institutional support.…”
Section: Discussionmentioning
confidence: 99%
“…Most of China's rural areas are familial settlements, with many relatives in the same village (community) and intensive neighbourhood exchanges, forming a natural social network of shared benefits and risks [66,67]. Individuals in social networks are highly similar [68], and people tend to communicate with people who are similar to themselves.…”
Section: Discussionmentioning
confidence: 99%
“…As a result, the frequency of social interaction of resettlers has decreased. Considering that social networks are the main way for resettlers to share risks [67], changes in social frequency will affect the probability of risk. When the PIG is low, the social network fully disseminates information, which helps resettlers share risks and improve SWB.…”
Section: Discussionmentioning
confidence: 99%