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Article
Publication date: 23 February 2021

Honghong Zhang and Xiushuang Gong

The purpose of this present study is to investigate how opinion leaders' responsiveness to social influence varies with network positions (i.e. degree centrality and…

Abstract

Purpose

The purpose of this present study is to investigate how opinion leaders' responsiveness to social influence varies with network positions (i.e. degree centrality and brokerage) and network density in new product diffusion networks.

Design/methodology/approach

This study collected data based on a sociometric network survey. Hierarchical moderated regression and hierarchical linear modeling analyses were used to test the moderating effects of degree centrality, brokerage and density on the relationship between opinion leadership and susceptibility to social influence.

Findings

This study documents the significant moderating roles of network positions and network density in the relationship between individual influence (i.e. opinion leadership) and susceptibility to social influence. Interestingly, this study shows that the significant moderating effects of degree centrality and brokerage hold for opinion leaders' responsiveness to informational social influence, whereas that of network density holds for opinion leaders' responsiveness to normative social influence.

Research limitations/implications

This research sheds light on the network structural characteristics under which opinion leaders would be differentially responsive to social influence (i.e. informational and normative influence) from others.

Practical implications

This research provides marketing managers with insights into leveraging social influence by activating opinion leaders through existing network ties in new product diffusion networks.

Originality/value

Although opinion leaders are generally less susceptible to social influence from others than nonleaders, this research finds that, under certain network conditions, opinion leaders would be equally responsive to social influence from their peers.

Details

Asia Pacific Journal of Marketing and Logistics, vol. 33 no. 10
Type: Research Article
ISSN: 1355-5855

Keywords

Article
Publication date: 1 October 2005

Shoshana R. Dobrow and Monica C. Higgins

Purpose – This paper seeks to examine the relationship between individuals' developmental mentoring networks and a subjective career outcome, clarity of professional…

5930

Abstract

Purpose – This paper seeks to examine the relationship between individuals' developmental mentoring networks and a subjective career outcome, clarity of professional identity. How developmental network characteristics are related to professional identity over time is explored. Design/methodology/approach – This is a three‐wave, longitudinal survey study, covering a five‐year span (1996‐2001). The participants (n=136), full‐time MBA students at the inception of the study, provided complete developmental network data on each survey. The relationships between clarity of professional identity and three different measures of developmental network density were explored: early‐career density; general density; and density dynamics (e.g. the change in density over time). Findings – Developmental network density, which reflects the professional identity exploration process, is negatively related to clarity of professional identity. Research limitations/implications – The study is limited by the use of graduating MBA students from a single, top‐20 business school as participants. Practical implications – The findings suggest that people might be able to improve their careers through changing their developmental networks, particularly during their early‐career years. Originality/value – This paper provides novel insights to the mentoring, identity, and careers literatures. Given the previously uncharted territory of understanding the dynamics of developmental networks and its relationship to career outcomes, this study opens avenues for future research, while also answering questions about developmental networks and the ways they function over time.

Details

Career Development International, vol. 10 no. 6/7
Type: Research Article
ISSN: 1362-0436

Keywords

Article
Publication date: 14 May 2018

Dan Zhang, Ching-Hsin Wang, Dengpan Zheng and Xianyun Yu

The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically…

Abstract

Purpose

The purpose of this paper is to extend prior supply chain research by describing the process of innovation knowledge increase in supply chain network. More specifically, this study investigates the role of network density, and views the knowledge increase as the process of knowledge diffusion and knowledge innovation.

Design/methodology/approach

A multi-agent model, which demonstrates the process of knowledge increase in supply chain network, was established, and simulated by using NetLogo simulation platform.

Findings

The results indicate that the network density will promote the knowledge increase of the supply chain when it is high or low. In the meantime, these results show that the inhibition of knowledge diffusion and knowledge innovation will appear when network density is moderate.

Originality/value

Although previous research has identified the importance of knowledge increase in promoting sustainable development of supply chain, far less attention was given to the study of the effect of network structure on the knowledge increase in supply chain. This study thus fulfills the research gap by providing a description of the process of knowledge increase with the consideration of network density. The conclusion is of great significance for the choice of network density for sustainable development of supply chain.

Details

Industrial Management & Data Systems, vol. 118 no. 4
Type: Research Article
ISSN: 0263-5577

Keywords

Article
Publication date: 25 October 2018

Yu Che, Yongqiang Li, Kim-Shyan Fam and Xuan Bai

This study aims to examine the underlying mechanism of buyer–seller ties and salespeople’s performance. Also examined was the moderating effects of the density of the…

Abstract

Purpose

This study aims to examine the underlying mechanism of buyer–seller ties and salespeople’s performance. Also examined was the moderating effects of the density of the customer network in which the salesperson is embedded.

Design/methodology/approach

The study developed a framework incorporating five key variables: strength of ties, network benefits, network density, sales effectiveness and sales revenue. The framework was tested using data from insurance companies in China.

Findings

Process regression and stepwise regression results indicated that information, influence and solidarity benefit will mediate the effects of strength of ties on sales effectiveness both when taken as a set and separately. Information, influence and solidarity benefit will mediate the effects of strength of ties on sales revenue when taken as a set, but only influence will mediate the effect separately. In addition, the positive relationship between strength of ties and solidarity benefit is weaker when network density is high.

Practical implications

Sales managers should initiate trainings and workshops about how to obtain high-quality information from customers, improving influencing power and establishing solidarity with customers. Moreover, salespeople should avoid conducting business with a group of customers if they are densely connected to one another.

Originality/value

On the one hand, this study contributes to the underlying mechanism research on buyer–seller ties and sales performance. On the other hand, it contributes to the contingency research on sales performance and the development of social network theory.

Details

Nankai Business Review International, vol. 9 no. 4
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 3 July 2017

Job Rodrigo-Alarcón, Pedro Manuel García-Villaverde, Gloria Parra-Requena and María José Ruiz-Ortega

Innovativeness is a critical aspect for the survival and success of the company in the long term. The purpose of this paper is to study how the density of the network in…

Abstract

Purpose

Innovativeness is a critical aspect for the survival and success of the company in the long term. The purpose of this paper is to study how the density of the network in which the company is immersed influences the relationship between environment, dynamism and innovativeness. More specifically, the authors analyse whether the network density acts in a heterogeneous way, worsening or improving the effects of technological and market dynamism on innovativeness, respectively.

Design/methodology/approach

The empirical study was conducted on a sample of 292 companies in the agri-food industry in Spain. In order to test the proposed model, the authors used partial least squares.

Findings

The results show that technological dynamism has a positive effect on the generation and development of a firm’s innovativeness. However, market dynamism does not influence innovativeness. The authors also observe that the interactive effects between network density and dynamism are significant, but in a divergent way. Whereas the interactive effect between density and technological dynamism is negative, the interaction between density and market dynamism is positive.

Originality/value

The main contribution of the study is to show how the level of network density alters the effect of technological and market dynamism on innovativeness. The authors highlight the relevance of network theory to explain the contextual background to innovativeness. The authors also stress the importance of differentiating between the market and technological components of dynamism to further elucidate their effects.

Details

Journal of Organizational Change Management, vol. 30 no. 4
Type: Research Article
ISSN: 0953-4814

Keywords

Open Access
Article
Publication date: 30 July 2019

Zhizhou Wu, Yiming Zhang, Guishan Tan and Jia Hu

Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract…

Abstract

Purpose

Traffic density is one of the most important parameters to consider in the traffic operation field. Owing to limited data sources, traditional methods cannot extract traffic density directly. In the vehicular ad hoc network (VANET) environment, the vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) interaction technologies create better conditions for collecting the whole time-space and refined traffic data, which provides a new approach to solving this problem.

Design/methodology/approach

On that basis, a real-time traffic density extraction method has been proposed, including lane density, segment density and network density. Meanwhile, using SUMO and OMNet++ as traffic simulator and network simulator, respectively, the Veins framework as middleware and the two-way coupling VANET simulation platform was constructed.

Findings

Based on the simulation platform, a simulated intersection in Shanghai was developed to investigate the adaptability of the model.

Originality/value

Most research studies use separate simulation methods, importing trace data obtained by using from the simulation software to the communication simulation software. In this paper, the tight coupling simulation method is applied. Using real-time data and history data, the research focuses on the establishment and validation of the traffic density extraction model.

Details

Journal of Intelligent and Connected Vehicles, vol. 2 no. 1
Type: Research Article
ISSN: 2399-9802

Keywords

Book part
Publication date: 8 April 2013

Ray-May Hsung, Yi-Jr Lin and Ke-Wei Lu

Purpose – Structural embeddedness of social networks within and beyond work organizations has shown its association with the innovation at work for employees from…

Abstract

Purpose – Structural embeddedness of social networks within and beyond work organizations has shown its association with the innovation at work for employees from literature. Structural embeddedness includes three dimensions: the diversity, density, and trust of accessed networks. This chapter attempts to compare how structural embeddedness mechanizes on innovation at work differently for employees in hi-tech and non-hi-tech sectors.Methodology/approach – We analyzed 1,817 cases of currently employed respondents from the 2005 Taiwan national survey on social capital. All the indicators on structural embeddedness are operationalized from position-generated networks, and we performed regression models for total, hi-tech, and non-hi-tech samples.Findings – Except the universal effects of diversity on innovation at work for employees in both hi-tech and non-hi-tech sectors, density and trust of accessed networks significantly affect innovation at work only for employees in non-hi-tech sectors. There is a slight interaction effect between trust and density on innovation at workplaces. Those individuals with high-degree trust in accessed networks tend to have a lower degree of innovation while their network density is high. It implies that complementary networks seem to be more useful for applying new ideas at the workplace for non-hi-tech workers.Originality/value of chapter – This chapter contributes to the literature by presenting the importance of structural embeddedness of accessed social networks for innovation at work.

Details

Networks, Work and Inequality
Type: Book
ISBN: 978-1-78190-539-5

Keywords

Article
Publication date: 19 October 2010

Kaisa Henttonen, Minna Janhonen, Jan‐Erik Johanson and Kaisu Puumalainen

Businesses are increasingly using teams as their fundamental organisational unit. This paper aims to explore the impact of demographic antecedents and the social‐network

2010

Abstract

Purpose

Businesses are increasingly using teams as their fundamental organisational unit. This paper aims to explore the impact of demographic antecedents and the social‐network structure, measured in terms of task‐related advice‐network density, centralisation and fragmentation, on work‐team performance. The paper seeks to examine: the impact of the social‐network structure (dense, fragmented or centralised) on work‐team performance and the origins of the social structure. It also tests whether team diversity (in terms of variety with regard to gender and separation with regard to age and education) has an impact on team performance.

Design/methodology/approach

A survey was conducted on 76 work teams (499 employees) representing 48 different organisations.

Findings

With regard to the first question, density was positively related to team performance. The impact of advice‐network fragmentation was also positive, and this is in line with the results of other studies focusing on teams conducting standard tasks. In addressing the second question the paper explored whether diversity as variety (age) and diversity as separation (age and education) had an effect on the work team's social‐network structure. Age and education had no effect, but gender diversity was related negatively to density and positively to fragmentation. It was also related negatively to team performance.

Originality/value

The contribution of this research is twofold in that it explores social‐structure effects on team performance and examines the possible antecedents of the team's social structure. The results of the investigation strengthen the rationale behind integrating the literature on social‐network analysis and teams.

Details

Team Performance Management: An International Journal, vol. 16 no. 7/8
Type: Research Article
ISSN: 1352-7592

Keywords

Article
Publication date: 5 March 2020

Chao Feng, Guijun Zhuang, Hui Chen and Daxian Hu

Based on social network theory and the literature of contract governance, the purpose of this study is to explore how distributors’ “banding together” (network intensity…

Abstract

Purpose

Based on social network theory and the literature of contract governance, the purpose of this study is to explore how distributors’ “banding together” (network intensity) affects contract governance (detailed contracts), which, in turn, influences channel conflict and simultaneously tests the moderating effect of network centrality.

Design/methodology/approach

The authors collect the data from the side of 288 manufacturers.

Findings

This study finds that, first, distributors’ network intensity positively affects detailed contracts between manufacturers and distributors; second, detailed contracts, in turn, declines channel conflict; and third, network centrality will weaken the positive influence of network density on detailed contracts. In addition, an ex post analysis finds that detailed contracts play a negative mediating role between distributors’ network density and channel conflict and this negative mediating effect would be weakened by distributors’ network centrality.

Originality/value

The current study not only helps to make up for the shortcomings of using the dyadic analysis paradigm to analyze channel behavior but also helps manufacturers to understand and respond to the phenomenon of distributors’ “banding together” comprehensively and deeply.

Details

Nankai Business Review International, vol. 11 no. 4
Type: Research Article
ISSN: 2040-8749

Keywords

Article
Publication date: 7 August 2017

Xuexin Xu, Xiaodong Yang, Junhua Lu, Ji Lan, Tai-Quan Peng, Yingcai Wu and Wei Chen

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems…

1117

Abstract

Purpose

Massively multiplayer online role-playing games (MMORPGs) create quasi-real social systems in which players can interact with one another, and quasi-real economic systems where players can consume and trade in-game items with virtual currency. The in-game currency price, an important indicator of a virtual economy, is highly contingent on players’ behavioral interaction in MMORPGs. The purpose of this paper is to adopt a network perspective to examine how topological characteristics of social networks in an MMORPG, namely, network externalities, density, and closure, would exert impacts on the in-game currency price.

Design/methodology/approach

Players’ behavioral data were collected from a popular MMORPG in China on a weekly basis for 52 weeks. With a time series analytical approach, the empirical model for the price function of in-game currency was estimated with vector autoregression.

Findings

The results show that the number of core avatars and network density are positively associated with in-game currency price, while network closure has a negative effect on in-game currency price. However, in-game currency price is found to have no significant relationship with the trade volume of the currency.

Originality/value

This study fills in an important research gap by investigating factors influencing the in-game currency price of MMORPGs from a network perspective, which contributes to the existing literature of network effects and advances our understanding about how players’ interaction will influence the dynamics of a virtual economy. The findings could offer useful insights for online game companies to better understand their players’ social interaction and consumption behavior.

Details

Internet Research, vol. 27 no. 4
Type: Research Article
ISSN: 1066-2243

Keywords

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