Leaders that bind: the role of network position and network density in opinion leaders' responsiveness to social influence

中心性 意见领导 社交网络(社会语言学) 规范性 社会心理学 心理学 社会网络分析 价值(数学) 独创性 多级模型 产品(数学) 公共关系 社会化媒体 社会资本 社会学 政治学 计算机科学 社会科学 组合数学 数学 机器学习 法学 创造力 几何学
作者
Honghong Zhang,Xiushuang Gong
出处
期刊:Asia Pacific Journal of Marketing and Logistics [Emerald (MCB UP)]
卷期号:33 (10): 2019-2036 被引量:13
标识
DOI:10.1108/apjml-03-2020-0126
摘要

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.

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
啊棕完成签到,获得积分10
刚刚
刚刚
搜集达人应助苗条的桐采纳,获得10
1秒前
洛苓轩发布了新的文献求助30
2秒前
牛批哄哄发布了新的文献求助10
2秒前
3秒前
顾矜应助guard采纳,获得10
3秒前
万能图书馆应助jy采纳,获得10
3秒前
4秒前
浅忆完成签到 ,获得积分10
5秒前
善学以致用应助juzg采纳,获得30
6秒前
6秒前
6秒前
汉堡包应助甜蜜的水壶采纳,获得10
7秒前
王灿灿完成签到,获得积分10
7秒前
7秒前
累累的发布了新的文献求助10
8秒前
小小发布了新的文献求助10
9秒前
lmj完成签到,获得积分10
9秒前
笑靥发布了新的文献求助10
9秒前
10秒前
FashionBoy应助舒心的平松采纳,获得10
10秒前
Skylar完成签到,获得积分10
10秒前
脑洞疼应助Fizz采纳,获得30
10秒前
11秒前
12秒前
大白发布了新的文献求助10
12秒前
13秒前
一粒星辰发布了新的文献求助10
13秒前
14秒前
14秒前
DAVID完成签到,获得积分10
14秒前
15秒前
老西瓜发布了新的文献求助10
15秒前
苗条的桐发布了新的文献求助10
15秒前
跳跃若风发布了新的文献求助10
15秒前
17秒前
17秒前
guard发布了新的文献求助10
18秒前
任性铅笔发布了新的文献求助10
18秒前
高分求助中
Continuum Thermodynamics and Material Modelling 3000
Production Logging: Theoretical and Interpretive Elements 2700
Mechanistic Modeling of Gas-Liquid Two-Phase Flow in Pipes 2500
Structural Load Modelling and Combination for Performance and Safety Evaluation 800
Conference Record, IAS Annual Meeting 1977 610
Interest Rate Modeling. Volume 3: Products and Risk Management 600
Interest Rate Modeling. Volume 2: Term Structure Models 600
热门求助领域 (近24小时)
化学 材料科学 生物 医学 工程类 有机化学 生物化学 物理 纳米技术 计算机科学 内科学 化学工程 复合材料 基因 遗传学 物理化学 催化作用 量子力学 光电子学 冶金
热门帖子
关注 科研通微信公众号,转发送积分 3555160
求助须知:如何正确求助?哪些是违规求助? 3130863
关于积分的说明 9388950
捐赠科研通 2830329
什么是DOI,文献DOI怎么找? 1555932
邀请新用户注册赠送积分活动 726345
科研通“疑难数据库(出版商)”最低求助积分说明 715734