The optimization of the knowledge diffusion processes and an innovation service relationship model in the context of social networks

Author(s):  
Hong-wei Shi ◽  
Ai-mei Zhao ◽  
Hans Th.A. Bressers ◽  
Cheryl Deboer
2017 ◽  
Vol 21 (6) ◽  
pp. 8-17 ◽  
Author(s):  
Fabio R. Gallo ◽  
Gerardo I. Simari ◽  
Maria Vanina Martinez ◽  
Marcelo A. Falappa ◽  
Natalia Abad Santos

Author(s):  
Dmitry Zinoviev

The issue of information diffusion in small-world social networks was first systematically brought to light by Mark Granovetter in his seminal paper “The Strength of Weak Ties” in 1973 and has been an area of active academic studies in the past three decades. This chapter discusses information proliferation mechanisms in massive online social networks (MOSN). In particular, the following aspects of information diffusion processes are addressed: the role and the strategic position of influential spreaders of information; the pathways in the social networks that serve as conduits for communication and information flow; mathematical models describing proliferation processes; short-term and long-term dynamics of information diffusion, and secrecy of information diffusion.


2019 ◽  
Vol 68 (6) ◽  
pp. 1164-1190 ◽  
Author(s):  
Leonardo Marques

Purpose The purpose of this paper is to scrutinise how the sustainable supply chain management (SSCM) literature has discussed knowledge dynamics across the extended supply network, particularly in the contemporary context of fragmented, globally dispersed supply networks. Design/methodology/approach A systematic approach to reviewing the literature is applied, covering 20 years, starting with 267 references, and narrowing down to 88 articles specifically addressing knowledge diffusion processes across the extended supply network. Findings This study shows that vertical ties limited to direct suppliers or third-party monitoring of global suppliers are both insufficient. Lack of co-opetition is an impediment to knowledge diffusion. And the debate of whether or not global dispersion is an impediment to knowledge diffusion seems inconclusive. More importantly, there is a lack of network-level studies mapping the diversity of actors in supply networks. Research limitations/implications First, future SSCM research should shift from an operational focus to strategic knowledge diffusion. Second, the scope of SSCM should expand from linear buyer–supplier relationships to multi-tier and multilateral studies. Special focus should be placed on the literature on social network to support processes that look at the drivers of effective large-scale, global diffusion of sustainability. Originality/value This review contends that it is paramount to set a new research direction captured in a new definition of “sustainable supply network management”. Future research should overcome the barriers of data collection at the network level in order to contribute to the field’s current challenges, which clearly lies in globally dispersed and complex supply network, not dyads or linear chains.


2018 ◽  
Vol 45 (4) ◽  
pp. 488-501
Author(s):  
Jun Wang ◽  
Yang Luo ◽  
Jin-Xing Hao ◽  
Liting Ding ◽  
Ruilin Zhang

Recent years have witnessed a surge of research on the identification of key users in online communities. However, seldom research has focused on their knowledge diffusion capabilities. The purpose of this study is to propose a new measure to find key users who perform well in knowledge diffusion in order to promote users’ active participation in Q&A communities. In particular, this article develops an improved measure consolidating both users’ structural hole and knowledge diffusion capability and evaluates its performance through a field study involving 230,000 users and more than 132 million network relations of users. Our results show that our proposed measure can be used to detect key users who occupy structural holes’ advantages in social networks. In addition, key users detected by our proposed measure generally perform well on nearly all dimensions of knowledge diffusion capability compared with other measures of key users. Our study entails important theoretical and practical contributions.


2018 ◽  
Author(s):  
Manuel Trenz ◽  
Jan Huntgeburth ◽  
Daniel Veit

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