Strong–weak collaborative management in coping supply chain disruption risk transmission based on scale-free networks

Chen, Youyu; Shu, Tong; Chen, Shou; Wang, Shouyang; Lai, Kin Keung; Gan, Lu

doi:10.1080/00036846.2016.1273494

Cited by 11 publications

(4 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“… Jajja et al, 2017 , Jonsson et al, 2011 , Nooraie et al, 2020 , O'Reilly and Tushman, 2013 , Saenz et al, 2015 , Yusuf et al, 2019 , Aslam et al, 2018 , Azad et al, 2014 , Azadegan et al, 2020 , Baghalian et al, 2013 , Chen et al, 2020 , Chen et al, 2017 , Chowdhury et al, 2019 , Dubey et al, 2019 , Jabbarzadeh et al, 2016 , Sharma et al, 2020 , Shekarian et al, 2020 , Sreedevi and Saranga, 2017 , Esmaeilikia et al, 2016 , Gligor et al, 2016 , Heracleous and Werres, 2016 …”

Section: Uncited Referencesmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

177

119

View full text Add to dashboard Cite

Balancing sustainability and disruption of supply chains requires organizational ambidexterity. Sustainable supply chains prioritize efficiency and economies of scale and may not have sufficient redundancy to withstand disruptive events. There is a developing body of literature that attempts to reconcile these two aspects. This study gives a data-driven literature review of sustainable supply chain management trends toward ambidexterity and disruption. The critical review reveals temporal trends and geographic distribution of literature. A hybrid of data-driven analysis approach based on content and bibliometric analyses, fuzzy Delphi method, entropy weight method, and fuzzy decision-making trial and evaluation laboratory is used on 273 keywords and 22 indicators obtained based on the experts’ evaluation. The most important indicators are identified as supply chain agility, supply chain coordination, supply chain finance, supply chain flexibility, supply chain resilience, and sustainability. The regions show different tendencies compared with others. Asia and Oceania, Latin America and the Caribbean, and Africa are the regions needs improvement, while Europe and North America show distinct apprehensions on supply chain network design. The main contribution of this review is the identification of the knowledge frontier, which then leads to a discussion of prospects for future studies and practical industry implementation.

show abstract

Section: Uncited Referencesmentioning

confidence: 99%

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Bui

Tsai

Tseng

et al. 2021

Sustainable Production and Consumption

177

119

View full text Add to dashboard Cite

show abstract

“…, 2013). Moreover, Chen et al. (2017) suggested that managers could use them following the mode of strong-weak collaborative management.…”

Section: Discussionmentioning

confidence: 99%

“…Prior study has also pointed out that both weak and strong ties have advantages and disadvantages, and only the combination of such ties can be most effective in applications (Huszti et al, 2013). Moreover, Chen et al (2017) suggested that managers could use them following the mode of strong-weak collaborative management. Michelfelder and Kratzer (2013) further demonstrated that this combination of strong and weak ties also produced a "positive interaction effect."…”

Section: Practical Contributionsmentioning

confidence: 99%

What configurations of structures facilitate supply chain learning? A supply chain network and complexity perspective

Wang

Dong

Xiong

et al. 2023

IJOPM

View full text Add to dashboard Cite

PurposeThis study explores how factors arising from supply chain (SC) network and complexity work together in supply chain learning (SCL) behavior.Design/methodology/approachFuzzy set qualitative comparative analysis, which is an emerging configurational analysis method, was adopted to examine the complex combination of five influencing factors. The data were collected using a two-stage survey. First, the authors selected seven typical firms with an awareness of SCL. Second, questionnaires were sent to the partners of the seven selected firms, and 156 valid questionnaires were obtained from 76 firms.FindingsDrawing on emergent insights from the initiative, the authors find that multiple configurations of SC network and complexity lead to high SCL. Specifically, weak ties are necessary conditions of such learning, while strong ties are also conducive to this. Moreover, a moderate SC complexity is conducive to SCL.Practical implicationsThis study enriches the understanding of SCL and provides new insights for SC management practitioners to take measures to improve it.Originality/valueThis study addresses the lack of in-depth understanding of the antecedent conditions of SCL in the literature. It establishes an integrated and comprehensive theoretical framework of such learning based on contingency theory. Additionally, this study incorporates ambidextrous SCL (i.e. creation capability and dispersion capacity). An overall prototype of SCL capability is proposed on SC network and complexity theory.

show abstract

“…With the in-depth study on various types of complex networks such as small-world network and scale-free network, infectious models based on small-world network and scalefree network have also been studied in depth [46]. Many scholars have proposed effective risk prevention strategies by exploring the spread of various risks on different and specific complex network structures [47][48][49].…”

Section: Research On Risk Diffusion On Complex Networkmentioning

confidence: 99%

Social Stability Risk Diffusion of Large Complex Engineering Projects Based on an Improved SIR Model: A Simulation Research on Complex Networks

Huang

Fang

2021

Complexity

View full text Add to dashboard Cite

The development of China’s new urbanization has driven the rapid increase in large complex engineering projects, which have the characteristics of large-scale investment, long-term construction, and wide social influence, easily causing benefit conflicts among relevant stakeholders, and breaking out social stability risks. In the previous research, the risks of large complex engineering projects mainly concentrated on the assessment of economic risk, schedule risk, etc. However, there were few studies on social risks, and they did not consider how the risks spread on the complex networks based on the social connections such as interpersonal relationship. From the subject of social stability risk diffusion of large complex engineering projects, this paper constructs a related risk diffusion model based on the SIR model to analyze risk diffusion mechanism. Through NetLogo simulation platform, the model is placed under a small-world network environment that is closest to the topology structure of real social interpersonal relationship network for simulation research, aiming to find out key factors of social stability risk intervention for large complex engineering projects, which greatly contributes to the social stability risk management of large complex engineering projects.

show abstract

Strong–weak collaborative management in coping supply chain disruption risk transmission based on scale-free networks

Cited by 11 publications

References 37 publications

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

Sustainable supply chain management towards disruption and organizational ambidexterity: A data driven analysis

What configurations of structures facilitate supply chain learning? A supply chain network and complexity perspective

Social Stability Risk Diffusion of Large Complex Engineering Projects Based on an Improved SIR Model: A Simulation Research on Complex Networks

Contact Info

Product

Resources

About